id stringlengths 10 10 | title stringlengths 7 231 | abstract stringlengths 3 2.43k | authors stringlengths 5 21.5k | published_date stringlengths 20 20 | link stringlengths 33 34 | markdown stringlengths 133 1.92M |
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2309.05710 | Gravity Amplitudes From Double Bonus Relations | In this letter we derive new expressions for tree-level graviton amplitudes
in $\mathcal{N}=8$ supergravity from BCFW recursion relations combined with new
types of bonus relations. These bonus relations go beyond the famous $1/z^2$
behavior under a large BCFW shift, and use knowledge about certain zeroes of
graviton a... | Shruti Paranjape, Jaroslav Trnka | 2023-09-11T18:00:03Z | http://arxiv.org/abs/2309.05710v1 | # Gravity Amplitudes From Double Bonus Relations
###### Abstract
In this letter we derive new expressions for tree-level graviton amplitudes in \(\mathcal{N}=8\) supergravity from BCFW recursion relations combined with new types of bonus relations. These bonus relations go beyond the famous \(1/z^{2}\) behavior under... |
2309.05076 | An Appraisal-Based Chain-Of-Emotion Architecture for Affective Language
Model Game Agents | The development of believable, natural, and interactive digital artificial
agents is a field of growing interest. Theoretical uncertainties and technical
barriers present considerable challenges to the field, particularly with
regards to developing agents that effectively simulate human emotions. Large
language models ... | Maximilian Croissant, Madeleine Frister, Guy Schofield, Cade McCall | 2023-09-10T16:55:49Z | http://arxiv.org/abs/2309.05076v1 | # An Appraisal-Based Chain-Of-Emotion Architecture for Affective Language Model Game Agents
###### Abstract
The development of believable, natural, and interactive digital artificial agents is a field of growing interest. Theoretical uncertainties and technical barriers present considerable challenges to the field, p... |
2309.13614 | Boosting Offline Reinforcement Learning for Autonomous Driving with
Hierarchical Latent Skills | Learning-based vehicle planning is receiving increasing attention with the
emergence of diverse driving simulators and large-scale driving datasets. While
offline reinforcement learning (RL) is well suited for these safety-critical
tasks, it still struggles to plan over extended periods. In this work, we
present a skil... | Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao | 2023-09-24T11:51:17Z | http://arxiv.org/abs/2309.13614v2 | # Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills
###### Abstract
Learning-based vehicle planning is receiving increasing attention with the emergence of diverse driving simulators and large-scale driving datasets. While offline reinforcement learning (RL) is well suited... |
2309.07661 | Entanglement transitions in a periodically driven non-Hermitian Ising
chain | We study entanglement transitions in a periodically driven Ising chain in the
presence of an imaginary transverse field $\gamma$ as a function of drive
frequency $\omega_D$. In the high drive amplitude and frequency regime, we find
a critical value $\gamma=\gamma_c$ below which the steady state half-chain
entanglement ... | Tista Banerjee, K. Sengupta | 2023-09-14T12:25:45Z | http://arxiv.org/abs/2309.07661v2 | # Entanglement transitions in a periodically driven non-Hermitian Ising chain
###### Abstract
We study entanglement transitions in a periodically driven Ising chain in the presence of an imaginary transverse field \(\gamma\) as a function of drive frequency \(\omega_{D}\). In the high drive amplitude and frequency re... |
2302.14209 | FerroHEMTs: High-Current and High-Speed All-Epitaxial AlScN/GaN
Ferroelectric Transistors | We report the first observation of ferroelectric gating in AlScN barrier
wide-bandgap nitride transistors. These FerroHEMT devices realized by direct
epitaxial growth represent a new class of ferroelectric transistors in which
the semiconductor is itself polar, and the crystalline ferroelectric barrier is
lattice-match... | J. Casamento, K. Nomoto, T. S. Nguyen, H. Lee, C. Savant, L. Li, A. Hickman, T. Maeda, J. Encomendero, V. Gund, A. Lal, J. C. M. Hwang, H. G. Xing, D. Jena | 2023-02-28T00:08:30Z | http://arxiv.org/abs/2302.14209v1 | # FerroHEMTs: High-Current and High-Speed All-Epitaxial AlScN/GaN Ferroelectric Transistors
###### Abstract
We report the first observation of ferroelectric gating in AlScN barrier wide-bandgap nitride transistors. These FerroHEMT devices realized by direct epitaxial growth represent a new class of ferroelectric tran... |
2309.08546 | Towards Robust Continual Learning with Bayesian Adaptive Moment
Regularization | The pursuit of long-term autonomy mandates that machine learning models must
continuously adapt to their changing environments and learn to solve new tasks.
Continual learning seeks to overcome the challenge of catastrophic forgetting,
where learning to solve new tasks causes a model to forget previously learnt
informa... | Jack Foster, Alexandra Brintrup | 2023-09-15T17:10:51Z | http://arxiv.org/abs/2309.08546v3 | # Towards Robust Continual Learning with Bayesian Adaptive Moment Regularization
###### Abstract
The pursuit of long-term autonomy mandates that robotic agents must continuously adapt to their changing environments and learn to solve new tasks. Continual learning seeks to overcome the challenge of catastrophic forget... |
2309.09880 | Error Reduction from Stacked Regressions | Stacking regressions is an ensemble technique that forms linear combinations
of different regression estimators to enhance predictive accuracy. The
conventional approach uses cross-validation data to generate predictions from
the constituent estimators, and least-squares with nonnegativity constraints to
learn the comb... | Xin Chen, Jason M. Klusowski, Yan Shuo Tan | 2023-09-18T15:42:12Z | http://arxiv.org/abs/2309.09880v3 | # Error Reduction from Stacked Regressions+
###### Abstract
Stacking regressions is an ensemble technique that forms linear combinations of different regression estimators to enhance predictive accuracy. The conventional approach uses cross-validation data to generate predictions from the constituent estimators, and ... |
2308.16451 | Optical flow-based vascular respiratory motion compensation | This paper develops a new vascular respiratory motion compensation algorithm,
Motion-Related Compensation (MRC), to conduct vascular respiratory motion
compensation by extrapolating the correlation between invisible vascular and
visible non-vascular. Robot-assisted vascular intervention can significantly
reduce the rad... | Keke Yang, Zheng Zhang, Meng Li, Tuoyu Cao, Maani Ghaffari, Jingwei Song | 2023-08-31T04:38:12Z | http://arxiv.org/abs/2308.16451v1 | # Optical flow-based vascular respiratory motion compensation
###### Abstract
This paper develops a new vascular respiratory motion compensation algorithm, Motion-Related Compensation (MRC), to conduct vascular respiratory motion compensation by extrapolating the correlation between invisible vascular and visible non... |
2309.09658 | A Novel Method of Fuzzy Topic Modeling based on Transformer Processing | Topic modeling is admittedly a convenient way to monitor markets trend.
Conventionally, Latent Dirichlet Allocation, LDA, is considered a must-do model
to gain this type of information. By given the merit of deducing keyword with
token conditional probability in LDA, we can know the most possible or
essential topic. Ho... | Ching-Hsun Tseng, Shin-Jye Lee, Po-Wei Cheng, Chien Lee, Chih-Chieh Hung | 2023-09-18T10:52:54Z | http://arxiv.org/abs/2309.09658v1 | # A Novel Method of Fuzzy Topic Modeling based on Transformer Processing
###### Abstract
Topic modeling is admittedly a convenient way to monitor markets trend. Conventionally, Latent Dirichlet Allocation, LDA, is considered a must-do model to gain this type of information. By given the merit of deducing keyword with... |
2309.15271 | Kinematic Modularity of Elementary Dynamic Actions | In this paper, a kinematically modular approach to robot control is
presented. The method involves structures called Elementary Dynamic Actions and
a network model combining these elements. With this control framework, a rich
repertoire of movements can be generated by combination of basic modules. The
problems of solv... | Moses C. Nah, Johannes Lachner, Federico Tessari, Neville Hogan | 2023-09-26T21:10:12Z | http://arxiv.org/abs/2309.15271v2 | # Kinematic Modularity of Elementary Dynamic Actions
###### Abstract
In this paper, a kinematically modular approach to robot control is presented. The method involves structures called Elementary Dynamic Actions and a network model combining these elements. With this control framework, a rich repertoire of movements... |
2309.13166 | Invisible Watermarking for Audio Generation Diffusion Models | Diffusion models have gained prominence in the image domain for their
capabilities in data generation and transformation, achieving state-of-the-art
performance in various tasks in both image and audio domains. In the rapidly
evolving field of audio-based machine learning, safeguarding model integrity
and establishing ... | Xirong Cao, Xiang Li, Divyesh Jadav, Yanzhao Wu, Zhehui Chen, Chen Zeng, Wenqi Wei | 2023-09-22T20:10:46Z | http://arxiv.org/abs/2309.13166v2 | # Invisible Watermarking for Audio Generation Diffusion Models
###### Abstract
Diffusion models have gained prominence in the image domain for their capabilities in data generation and transformation, achieving state-of-the-art performance in various tasks in both image and audio domains. In the rapidly evolving fiel... |
2309.14609 | Elemental topological ferroelectrics and polar metals of few-layer
materials | Ferroelectricity can exist in elemental phases as a result of charge
transfers between atoms occupying inequivalent Wyckoff positions. We
investigate the emergence of ferroelectricity in two-dimensional elemental
materials with buckled honeycomb lattices. Various multi-bilayer structures
hosting ferroelectricity are de... | Hu Zhang, Lulu Zhao, RuiFeng Zhang, Chendong Jin, Ruqian Lian, Peng-Lai Gong, RuiNing Wang, JiangLong Wang, Xing-Qiang Shi | 2023-09-26T01:34:55Z | http://arxiv.org/abs/2309.14609v1 | # Elemental topological ferroelectrics and polar metals of few-layer materials
###### Abstract
Ferroelectricity can exist in elemental phases as a result of charge transfers between atoms occupying inequivalent Wyckoff positions. We investigate the emergence of ferroelectricity in two-dimensional elemental materials ... |
2308.00555 | Shortcut Partitions in Minor-Free Graphs: Steiner Point Removal,
Distance Oracles, Tree Covers, and More | The notion of shortcut partition, introduced recently by Chang, Conroy, Le,
Milenkovi\'c, Solomon, and Than [CCLMST23], is a new type of graph partition
into low-diameter clusters. Roughly speaking, the shortcut partition guarantees
that for every two vertices $u$ and $v$ in the graph, there exists a path
between $u$ a... | Hsien-Chih Chang, Jonathan Conroy, Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than | 2023-07-31T17:51:00Z | http://arxiv.org/abs/2308.00555v1 | # Shortcut Partitions in Minor-Free Graphs:
###### Abstract
The notion of _shortcut partition_, introduced recently by Chang, Conroy, Le, Milenkovic, Solomon, and Than [2], is a new type of graph partition into low-diameter clusters. Roughly speaking, the shortcut partition guarantees that for every two vertices \(u\... |
2309.07113 | Contrastive Deep Encoding Enables Uncertainty-aware
Machine-learning-assisted Histopathology | Deep neural network models can learn clinically relevant features from
millions of histopathology images. However generating high-quality annotations
to train such models for each hospital, each cancer type, and each diagnostic
task is prohibitively laborious. On the other hand, terabytes of training data
-- while lack... | Nirhoshan Sivaroopan, Chamuditha Jayanga, Chalani Ekanayake, Hasindri Watawana, Jathurshan Pradeepkumar, Mithunjha Anandakumar, Ranga Rodrigo, Chamira U. S. Edussooriya, Dushan N. Wadduwage | 2023-09-13T17:37:19Z | http://arxiv.org/abs/2309.07113v1 | # Contrastive Deep Encoding Enables Uncertainty-Aware Machine-Learning-Assisted histopathology
###### Abstract
Deep neural network models can learn clinically relevant features from millions of histopathology images. However generating high-quality annotations to train such models for each hospital, each cancer type,... |
2301.13744 | Elastic solids with strain-gradient elastic boundary surfaces | Recent works have shown that in contrast to classical linear elastic fracture
mechanics, endowing crack fronts in a brittle Green-elastic solid with
Steigmann-Ogden surface elasticity yields a model that predicts bounded
stresses and strains at the crack tips for plane-strain problems. However,
singularities persist fo... | Casey Rodriguez | 2023-01-31T16:26:02Z | http://arxiv.org/abs/2301.13744v3 | # Elastic solids with strain-gradient elastic boundary surfaces
###### Abstract.
Recent works have shown that in contrast to classical linear elastic fracture mechanics, endowing crack fronts in a brittle solid with Steigmann-Ogden surface elasticity yields a model that predicts bounded strains at the crack tips for ... |
2309.08220 | UniST: Towards Unifying Saliency Transformer for Video Saliency
Prediction and Detection | Video saliency prediction and detection are thriving research domains that
enable computers to simulate the distribution of visual attention akin to how
humans perceiving dynamic scenes. While many approaches have crafted
task-specific training paradigms for either video saliency prediction or video
salient object dete... | Junwen Xiong, Peng Zhang, Chuanyue Li, Wei Huang, Yufei Zha, Tao You | 2023-09-15T07:39:53Z | http://arxiv.org/abs/2309.08220v1 | # UniST: Towards Unifying Saliency Transformer for Video Saliency Prediction and Detection
###### Abstract
Video saliency prediction and detection are thriving research domains that enable computers to simulate the distribution of visual attention akin to how humans perceiving dynamic scenes. While many approaches ha... |
2309.11942 | On the Probability of Immunity | This work is devoted to the study of the probability of immunity, i.e. the
effect occurs whether exposed or not. We derive necessary and sufficient
conditions for non-immunity and $\epsilon$-bounded immunity, i.e. the
probability of immunity is zero and $\epsilon$-bounded, respectively. The
former allows us to estimate... | Jose M. Peña | 2023-09-21T09:57:03Z | http://arxiv.org/abs/2309.11942v2 | # On the probability of immunity
###### Abstract.
This work is devoted to the study of the probability of immunity, i.e. the effect occurs whether exposed or not. We derive necessary and sufficient conditions for non-immunity and \(\epsilon\)-bounded immunity, i.e. the probability of immunity is zero and \(\epsilon\)... |
2309.10484 | Understanding and addressing the resistance towards autonomous vehicles
(AVs) | Autonomous vehicles (AVs) are expected to bring major benefits to transport
and society. To exploit this potential, their acceptance by society is a
necessary condition. However, AV acceptance is currently at stake: AVs face
resistance by bystanders and local communities. Resistance can prevent the
implementation and u... | Sina Nordhoff | 2023-09-19T09:54:17Z | http://arxiv.org/abs/2309.10484v1 | # Understanding and addressing the resistance towards autonomous vehicles (AVs)
###### Abstract
Autonomous vehicles (AVs) are expected to bring major benefits to transport and society. To exploit this potential, their acceptance by society is a necessary condition. However, AV acceptance is currently at stake. AVs fa... |
2302.14590 | Status of the lifetimes of heavy hadrons within the HQE | We present the theoretical status of the lifetimes of weakly decaying heavy
hadrons containing a bottom or a charm quark, and discuss the current
predictions, based on the framework of the Heavy Quark Expansion (HQE), for
both mesons and baryons. Potential improvements to reduce the theoretical
uncertainties are also h... | Maria Laura Piscopo | 2023-02-28T14:21:07Z | http://arxiv.org/abs/2302.14590v1 | # Status of the lifetimes of heavy hadrons within the HQE
###### Abstract:
We present the theoretical status of the lifetimes of weakly decaying heavy hadrons containing a bottom or a charm quark, and discuss the current predictions, based on the framework of the Heavy Quark Expansion (HQE), for both mesons and baryo... |
2303.18083 | Analysis and Comparison of Two-Level KFAC Methods for Training Deep
Neural Networks | As a second-order method, the Natural Gradient Descent (NGD) has the ability
to accelerate training of neural networks. However, due to the prohibitive
computational and memory costs of computing and inverting the Fisher
Information Matrix (FIM), efficient approximations are necessary to make NGD
scalable to Deep Neura... | Abdoulaye Koroko, Ani Anciaux-Sedrakian, Ibtihel Ben Gharbia, Valérie Garès, Mounir Haddou, Quang Huy Tran | 2023-03-31T14:21:53Z | http://arxiv.org/abs/2303.18083v2 | # Analysis and Comparison of Two-Level KFAC Methods for Training Deep Neural Networks
###### Abstract
As a second-order method, the Natural Gradient Descent (NGD) has the ability to accelerate training of neural networks. However, due to the prohibitive computational and memory costs of computing and inverting the Fi... |
2309.12293 | Taxonomy for Physics Beyond Quantum Mechanics | We propose terminology to classify interpretations of quantum mechanics and
models that modify or complete quantum mechanics. Our focus is on models which
have previously been referred to as superdeterministic (strong or weak),
retrocausal (with or without signalling, dynamical or non-dynamical),
future-input-dependent... | Emily Adlam, Jonte R. Hance, Sabine Hossenfelder, Tim N. Palmer | 2023-09-21T17:54:31Z | http://arxiv.org/abs/2309.12293v2 | # Taxonomy for Physics Beyond Quantum Mechanics
###### Abstract
We propose terminology to classify interpretations of quantum mechanics and models that modify or complete quantum mechanics. Our focus is on models which have previously been referred to as superdeterministic (strong or weak), retrocausal (with or witho... |
2309.05937 | The Gas Accretion Rate of Star-forming Galaxies over the last 4 Gyr | Star-forming galaxies are believed to replenish their atomic gas reservoir,
which is consumed in star-formation, through accretion of gas from their
circumgalactic mediums (CGMs). However, there are few observational constraints
today on the gas accretion rate in external galaxies. Here, we use our recent
measurement o... | Apurba Bera, Nissim Kanekar, Jayaram N. Chengalur, Jasjeet S. Bagla | 2023-09-12T03:24:17Z | http://arxiv.org/abs/2309.05937v2 | # The Gas Accretion Rate of Star-forming Galaxies over the last 4 Gyr
###### Abstract
Star-forming galaxies are believed to replenish their atomic gas reservoir, which is consumed in star-formation, through accretion of gas from their circumgalactic mediums (CGMs). However, there are few observational constraints tod... |
2309.05089 | Some gradient theories in linear visco-elastodynamics towards dispersion
and attenuation of waves in relation to large-strain models | Various spatial-gradient extensions of standard viscoelastic rheologies of
the Kelvin-Voigt, Maxwell's, and Jeffreys' types are analyzed in linear
one-dimensional situations as far as the propagation of waves and their
dispersion and attenuation. These gradient extensions are then presented in the
large-strain nonlinea... | Tomáš Roubíček | 2023-09-10T17:32:28Z | http://arxiv.org/abs/2309.05089v2 | # Some gradient theories in linear visco-elastodynamics towards dispersion and attenuation of waves
# Some gradient theories in linear visco-elastodynamics towards dispersion and attenuation of waves
in relation to large-strain models
Tomas Roubicek
**Abstract**. Various spatial-gradient extensions of standard visc... |
2310.00092 | Voice2Action: Language Models as Agent for Efficient Real-Time
Interaction in Virtual Reality | Large Language Models (LLMs) are trained and aligned to follow natural
language instructions with only a handful of examples, and they are prompted as
task-driven autonomous agents to adapt to various sources of execution
environments. However, deploying agent LLMs in virtual reality (VR) has been
challenging due to th... | Yang Su | 2023-09-29T19:06:52Z | http://arxiv.org/abs/2310.00092v1 | # Voice2Action: Language Models as Agent for
###### Abstract
Large Language Models (LLMs) are trained and aligned to follow natural language instructions with only a handful of examples, and they are prompted as task-driven autonomous agents to adapt to various sources of execution environments. However, deploying ag... |
2309.07852 | ExpertQA: Expert-Curated Questions and Attributed Answers | As language models are adopted by a more sophisticated and diverse set of
users, the importance of guaranteeing that they provide factually correct
information supported by verifiable sources is critical across fields of study.
This is especially the case for high-stakes fields, such as medicine and law,
where the risk... | Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth | 2023-09-14T16:54:34Z | http://arxiv.org/abs/2309.07852v2 | # ExpertQA \(\boldsymbol{\measuredangle}\): Expert-Curated Questions and Attributed Answers
###### Abstract
As language models are adapted by a more sophisticated and diverse set of users, the importance of guaranteeing that they provide factually correct information supported by verifiable sources is critical across... |
2309.16787 | Surface plasmon-polaritons in graphene, embedded into medium with gain
and losses | The paper deals with the theoretical consideration of surface
plasmon-polaritons in the graphene monolayer, embedded into dielectric with
spatially separated gain and losses. It is demonstrated, that presence of gain
and losses in the system leads to the formation of additional mode of graphene
surface plasmon-polarito... | O. A. Zhernovnykova, O. V. Popova, G. V. Deynychenko, T. I. Deynichenko, Yuliy V. Bludov | 2023-09-28T18:24:18Z | http://arxiv.org/abs/2309.16787v1 | # Surface plasmon-polaritons in graphene, embedded into medium with gain and losses
###### Abstract
The paper deals with the theoretical consideration of surface plasmon-polaritons in the graphene monolayer, embedded into dielectric with spatially separated gain and losses. It is demonstrated, that presence of gain a... |
2304.00119 | End-to-end deep learning-based framework for path planning and collision
checking: bin picking application | Real-time and efficient path planning is critical for all robotic systems. In
particular, it is of greater importance for industrial robots since the overall
planning and execution time directly impact the cycle time and automation
economics in production lines. While the problem may not be complex in static
environmen... | Mehran Ghafarian Tamizi, Homayoun Honari, Aleksey Nozdryn-Plotnicki, Homayoun Najjaran | 2023-03-31T20:28:28Z | http://arxiv.org/abs/2304.00119v1 | End-to-end deep learning-based framework for path planning and collision checking: bin picking application
###### Abstract
Real-time and efficient path planning is critical for all robotic systems. In particular, it is of greater importance for industrial robots since the overall planning and execution time directly ... |
2309.04383 | Quantum Ising model on two dimensional anti-de Sitter space | This paper investigates the transverse Ising model on a discretization of
two-dimensional anti-de Sitter space. We use classical and quantum algorithms
to simulate real-time evolution and measure out-of-time-ordered correlators
(OTOC). The latter can probe thermalization and scrambling of quantum
information under time... | Muhammad Asaduzzaman, Simon Catterall, Yannick Meurice, Goksu Can Toga | 2023-09-08T15:25:50Z | http://arxiv.org/abs/2309.04383v2 | # Quantum Ising model on two dimensional anti-de Sitter space
###### Abstract
This paper investigates the transverse Ising model on a discretization of two-dimensional anti-de Sitter space. We use classical and quantum algorithms to simulate real-time evolution and measure out-of-time-ordered correlators (OTOC). The ... |
2310.00086 | FPGA-based feedback control of quantum optics experiments with the open
source software package PyRPL | We present PyRPL, an open source software package that allows the
implementation of automatic digital feedback controllers for quantum optics
experiments on commercially available, affordable FPGA boards. Our software
implements the digital generation of various types of error signals, from an
analog input through the ... | Leonhard Neuhaus, Michaël Croquette, Rémi Metzdorff, Sheon Chua, Pierre-Edouard Jacquet, Alexandre Journeaux, Antoine Heidmann, Tristan Briant, Thibaut Jacqmin, Pierre-François Cohadon, Samuel Deléglise | 2023-09-29T18:53:51Z | http://arxiv.org/abs/2310.00086v1 | FPGA-based feedback control of quantum optics experiments with the open source software package PyRPL
###### Abstract
We present PyRPL, an open source software package that allows the implementation of automatic digital feedback controllers for quantum optics experiments on commercially available, affordable FPGA boa... |
2303.18097 | Phase noise analysis of mutually synchronized spin Hall nano-oscillators | The reduction of phase noise in electronic systems is of utmost importance in
modern communication and signal processing applications and requires an
understanding of the underlying physical processes. Here, we systematically
study the phase noise in mutually synchronized chains of nano-constriction spin
Hall nano-osci... | Artem Litvinenko, Akash Kumar, Mona Rajabali, Ahmad A. Awad, Roman Khymyn, Johan Akerman | 2023-03-31T14:40:40Z | http://arxiv.org/abs/2303.18097v1 | # Phase noise analysis of mutually synchronized spin Hall nano-oscillators
###### Abstract
The reduction of phase noise in electronic systems is of utmost importance in modern communication and signal processing applications and requires an understanding of the underlying physical processes. Here, we systematically s... |
2309.10490 | Comparative study of low-temperature opacities with GARSTEC models | We present a comparative study of the effect of low-temperature opacities on
stellar models up to the Red Giant branch (RGB), computed with the GARching
STellar Evolution Code. We have used two sets of low-temperature opacities;
{\AE}SOPUS ({\AE}) from the University of Padova and those from the Wichita
State Universit... | Pedro Diaz Reeve, Aldo Serenelli | 2023-09-19T09:57:37Z | http://arxiv.org/abs/2309.10490v1 | # Comparative study of low-temperature opacities with GARSTEC models
###### Abstract
We present a comparative study of the effect of low-temperature opacities on stellar models up to the Red Giant branch (RGB), computed with the GARching STellar Evolution Code. We have used two sets of low-temperature opacities; \(\L... |
2309.14806 | 3D printed realistic finger vein phantoms | Finger vein pattern recognition is an emerging biometric with a good
resistance to presentation attacks and low error rates. One problem is that it
is hard to obtain ground truth finger vein patterns from live fingers. In this
paper we propose an advanced method to create finger vein phantoms using 3D
printing where we... | Luuk Spreeuwers, Rasmus van der Grift, Pesigrihastamadya Normakristagaluh | 2023-09-26T10:03:57Z | http://arxiv.org/abs/2309.14806v1 | # 3D printed realistic finger vein phantoms
###### Abstract
Finger vein pattern recognition is an emerging biometric with a good resistance to presentation attacks and low error rates. One problem is that it is hard to obtain ground truth finger vein patterns from live fingers. In this paper we propose an advanced me... |
2301.00089 | Autonomous Driving Simulator based on Neurorobotics Platform | There are many artificial intelligence algorithms for autonomous driving, but
directly installing these algorithms on vehicles is unrealistic and expensive.
At the same time, many of these algorithms need an environment to train and
optimize. Simulation is a valuable and meaningful solution with training and
testing fu... | Wei Cao, Liguo Zhou, Yuhong Huang, Alois Knoll | 2022-12-31T01:12:27Z | http://arxiv.org/abs/2301.00089v1 | # Autonomous Driving Simulator based on Neurorobotics Platform
###### Abstract
There are many artificial intelligence algorithms for autonomous driving in the present market, but directly installing these algorithms on vehicles is unrealistic and expensive. At the same time, many of these algorithms need an environme... |
2309.16977 | Reliability Quantification of Deep Reinforcement Learning-based Control | Reliability quantification of deep reinforcement learning (DRL)-based control
is a significant challenge for the practical application of artificial
intelligence (AI) in safety-critical systems. This study proposes a method for
quantifying the reliability of DRL-based control. First, an existing method,
random noise di... | Hitoshi Yoshioka, Hirotada Hashimoto | 2023-09-29T04:49:49Z | http://arxiv.org/abs/2309.16977v2 | # Reliability Quantification of Deep Reinforcement Learning-based Control
###### Abstract
Reliability quantification of deep reinforcement learning (DRL)-based control is a significant challenge for the practical application of artificial intelligence (AI) in safety-critical systems. This study proposes a method for ... |
2309.08591 | Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation
into Multicultural Proverbs and Sayings | Large language models (LLMs) are highly adept at question answering and
reasoning tasks, but when reasoning in a situational context, human
expectations vary depending on the relevant cultural common ground. As
languages are associated with diverse cultures, LLMs should also be
culturally-diverse reasoners. In this pap... | Chen Cecilia Liu, Fajri Koto, Timothy Baldwin, Iryna Gurevych | 2023-09-15T17:45:28Z | http://arxiv.org/abs/2309.08591v2 | Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings
###### Abstract
Large language models (LLMs) are highly adept at question answering and reasoning tasks, but when reasoning in situational context, human expectations vary depending on the relevant cultural co... |
2305.19985 | On the Existence of Reactive Strategies Resilient to Delay | We compare games under delayed control and delay games, two types of infinite
games modelling asynchronicity in reactive synthesis. In games under delayed
control both players suffer from partial informedness due to symmetrically
delayed communication, while in delay games, the protagonist has to grant
lookahead to the... | Martin Fränzle, Paul Kröger, Sarah Winter, Martin Zimmermann | 2023-05-31T16:08:10Z | http://arxiv.org/abs/2305.19985v4 | # Strategies Resilient to Delay:
###### Abstract
We compare games under delayed control and delay games, two types of infinite games modelling asynchronicity in reactive synthesis. Our main result, the interreducibility of the existence of sure winning strategies for the protagonist, allows to transfer known complexi... |
2304.00125 | On topological obstructions to the existence of non-periodic Wannier
bases | Recently, M. Ludewig and G. C. Thiang introduced a notion of a uniformly
localized Wannier basis with localization centers in an arbitrary uniformly
discrete subset $D$ in a complete Riemannian manifold $X$. They show that,
under certain geometric conditions on $X$, the class of the orthogonal
projection onto the span ... | Yu. Kordyukov, V. Manuilov | 2023-03-31T20:53:33Z | http://arxiv.org/abs/2304.00125v1 | # On topological obstructions to the existence of non-periodic Wannier bases
###### Abstract.
Recently, M. Ludewig and G. C. Thiang introduced a notion of a uniformly localized Wannier basis with localization centers in an arbitrary uniformly discrete subset \(D\) in a complete Riemannian manifold \(X\). They show th... |
2309.16963 | Effect of irradiation on the spin of millisecond pulsars | A millisecond pulsar (MSP) is an old neutron star (NS) that has accreted
material from its companion star, causing it to spin up, which is known as the
recycling scenario. During the mass transfer phase, the system manifests itself
as an X-ray binary. PSR J1402+13 is an MSP with a spin period of $5.89~{\rm
ms}$ and a s... | Shunyi Lan, Xiangcun Meng | 2023-09-29T04:14:05Z | http://arxiv.org/abs/2309.16963v1 | # Effect of irradiation on the spin of millisecond pulsars
###### Abstract
A millisecond pulsar (MSP) is an old neutron star (NS) that has accreted material from its companion star, causing it to spin up, which is known as the recycling scenario. During the mass transfer phase, the system manifests itself as an X-ray... |
2309.09843 | Instruction-Following Speech Recognition | Conventional end-to-end Automatic Speech Recognition (ASR) models primarily
focus on exact transcription tasks, lacking flexibility for nuanced user
interactions. With the advent of Large Language Models (LLMs) in speech
processing, more organic, text-prompt-based interactions have become possible.
However, the mechani... | Cheng-I Jeff Lai, Zhiyun Lu, Liangliang Cao, Ruoming Pang | 2023-09-18T14:59:10Z | http://arxiv.org/abs/2309.09843v1 | # Instruction-Following Speech Recognition
###### Abstract
Conventional end-to-end Automatic Speech Recognition (ASR) models primarily focus on exact transcription tasks, lacking flexibility for nuanced user interactions. With the advent of Large Language Models (LLMs) in speech processing, more organic, text-prompt-... |
2307.16571 | Thermodynamics of Dissipative Solitons | We establish a close analogy between the thermodynamics of the nonlinear
systems far from equilibrium and the dissipative solitons. Unlike the solitons
in the Hamiltonian systems, their dissipative counterpart looks like an
aggregation of bounded quasi-particles interacting on the short range, obeying
the Rayleigh-Jean... | Vladimir L. Kalashnikov, Alexander Rudenkov, Irina T. Sorokina | 2023-07-31T11:04:23Z | http://arxiv.org/abs/2307.16571v2 | # Thermodynamics of Dissipative Solitons
###### Abstract
We establish a close analogy between the thermodynamics of the nonlinear systems far from equilibrium and the dissipative solitons. Unlike the solitons in the Hamiltonian systems, their dissipative counterpart looks like an aggregation of bounded quasi-particle... |
2309.04156 | Cross-Utterance Conditioned VAE for Speech Generation | Speech synthesis systems powered by neural networks hold promise for
multimedia production, but frequently face issues with producing expressive
speech and seamless editing. In response, we present the Cross-Utterance
Conditioned Variational Autoencoder speech synthesis (CUC-VAE S2) framework to
enhance prosody and ens... | Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun | 2023-09-08T06:48:41Z | http://arxiv.org/abs/2309.04156v2 | # Cross-Utterance Conditioned VAE
###### Abstract
Speech synthesis systems powered by neural networks hold promise for multimedia production, but frequently face issues with producing expressive speech and seamless editing. In response, we present the Cross-Utterance Conditioned Variational Autoencoder speech synthes... |
2309.05248 | Enhancing Speaker Diarization with Large Language Models: A Contextual
Beam Search Approach | Large language models (LLMs) have shown great promise for capturing
contextual information in natural language processing tasks. We propose a novel
approach to speaker diarization that incorporates the prowess of LLMs to
exploit contextual cues in human dialogues. Our method builds upon an
acoustic-based speaker diariz... | Tae Jin Park, Kunal Dhawan, Nithin Koluguri, Jagadeesh Balam | 2023-09-11T05:47:56Z | http://arxiv.org/abs/2309.05248v3 | # Enhancing Speaker Diarization with Large Language Models:
###### Abstract
Large language models (LLMs) have shown great promise for capturing contextual information in natural language processing tasks. We propose a novel approach to speaker diarization that incorporates the prowess of LLMs to exploit contextual cu... |
2309.06741 | A Multi-task Learning Framework for Drone State Identification and
Trajectory Prediction | The rise of unmanned aerial vehicle (UAV) operations, as well as the
vulnerability of the UAVs' sensors, has led to the need for proper monitoring
systems for detecting any abnormal behavior of the UAV. This work addresses
this problem by proposing an innovative multi-task learning framework (MLF-ST)
for UAV state iden... | Antreas Palamas, Nicolas Souli, Tania Panayiotou, Panayiotis Kolios, Georgios Ellinas | 2023-09-13T06:21:23Z | http://arxiv.org/abs/2309.06741v1 | # A Multi-task Learning Framework for Drone State Identification and Trajectory Prediction
###### Abstract
The rise of unmanned aerial vehicle (UAV) operations, as well as the vulnerability of the UAVs' sensors, has led to the need for proper monitoring systems for detecting any abnormal behavior of the UAV. This wor... |
2309.06999 | An adaptive functional regression framework for spatially heterogeneous
signals in spectroscopy | The attention towards food products characteristics, such as nutritional
properties and traceability, has risen substantially in the recent years.
Consequently, we are witnessing an increased demand for the development of
modern tools to monitor, analyse and assess food quality and authenticity.
Within this framework, ... | Federico Ferraccioli, Alessandro Casa, Marco Stefanucci | 2023-09-13T14:52:34Z | http://arxiv.org/abs/2309.06999v1 | # An adaptive functional regression framework for spatially heterogeneous signals in spectroscopy
###### Abstract
The attention towards food products characteristics, such as nutritional properties and traceability, as well as towards the adherence of production systems to environmental and ethical procedures, has ri... |
2309.10123 | On the generalization of the Kruskal-Szekeres coordinates: a global
conformal charting of the Reissner-Nordstrom spacetime | The Kruskal-Szekeres coordinates construction for the Schwarzschild spacetime
could be viewed geometrically as a squeezing of the $t$-line associated with
the asymptotic observer into a single point, at the event horizon $r=2M$.
Starting from this point, we extend the Kruskal charting to spacetimes with two
horizons, i... | Ali Fawzi, Dejan Stojkovic | 2023-09-18T19:56:43Z | http://arxiv.org/abs/2309.10123v2 | On the Generalization of the Kruskal-Szekeres Coordinates: A Global Conformal Charting of the Reissner-Nordstrom Spacetime
###### Abstract
The Kruskal-Szekeres coordinates construction for the Schwarzschild spacetime could be viewed geometrically as a squeezing of the \(t\)-line associated with the asymptotic observe... |
2309.16234 | Analyzing Political Figures in Real-Time: Leveraging YouTube Metadata
for Sentiment Analysis | Sentiment analysis using big data from YouTube videos metadata can be
conducted to analyze public opinions on various political figures who represent
political parties. This is possible because YouTube has become one of the
platforms for people to express themselves, including their opinions on various
political figure... | Danendra Athallariq Harya Putra, Arief Purnama Muharram | 2023-09-28T08:15:55Z | http://arxiv.org/abs/2309.16234v1 | # Analyzing Political Figures in Real-Time: Leveraging YouTube Metadata for Sentiment Analysis
###### Abstract
Sentiment analysis using big data from YouTube videos metadata can be conducted to analyze public opinions on various political figures who represent political parties. This is possible because YouTube has b... |
2307.16798 | Forster-Warmuth Counterfactual Regression: A Unified Learning Approach | Series or orthogonal basis regression is one of the most popular
non-parametric regression techniques in practice, obtained by regressing the
response on features generated by evaluating the basis functions at observed
covariate values. The most routinely used series estimator is based on ordinary
least squares fitting... | Yachong Yang, Arun Kumar Kuchibhotla, Eric Tchetgen Tchetgen | 2023-07-31T16:05:57Z | http://arxiv.org/abs/2307.16798v4 | # Forster-Warmuth Counterfactual Regression: A Unified Learning Approach
###### Abstract
Series or orthogonal basis regression is one of the most popular non-parametric regression techniques in practice, obtained by regressing the response on features generated by evaluating the basis functions at observed covariate ... |
2310.00521 | Minimal special degenerations and duality | This paper includes the classification, in a simple Lie algebra, of the
singularities of Slodowy slices between special nilpotent orbits that are
adjacent in the partial order on nilpotent orbits. The irreducible components
of most singularities are (up to normalization) either a simple surface
singularity or the closu... | Daniel Juteau, Paul Levy, Eric Sommers | 2023-09-30T23:09:06Z | http://arxiv.org/abs/2310.00521v1 | # Minimal special degenerations and duality
###### Abstract.
This paper includes the classification, in a simple Lie algebra \(\mathfrak{g}\), of the singularities of Slodowy slices between special nilpotent orbits that are adjacent in the partial order on nilpotent orbits. The irreducible components of most singular... |
2309.13358 | Towards Quantum Software Requirements Engineering | Quantum software engineering (QSE) is receiving increasing attention, as
evidenced by increasing publications on topics, e.g., quantum software
modeling, testing, and debugging. However, in the literature, quantum software
requirements engineering (QSRE) is still a software engineering area that is
relatively less inve... | Tao Yue, Shaukat Ali, Paolo Arcaini | 2023-09-23T12:34:04Z | http://arxiv.org/abs/2309.13358v1 | # Towards Quantum Software Requirements Engineering
###### Abstract
Quantum software engineering (QSE) is receiving increasing attention, as evidenced by increasing publications on topics, e.g., quantum software modeling, testing, and debugging. However, in the literature, quantum software requirements engineering (Q... |
2302.14745 | Epitaxial growth and characterization of (001) [NiFe/M]$_{20}$ (M = Cu,
CuPt and Pt) superlattices | We present optimization of [(15 $\unicode{x212B}$) Ni$_{80}$Fe$_{20}$/(5
$\unicode{xC5}$) M]$_{20}$ single crystal multilayers on (001) MgO, with M
being Cu, Cu$_{50}$Pt$_{50}$ and Pt. These superlattices were characterized by
high-resolution X-ray reflectivity (XRR) and diffraction (XRD) as well as polar
mapping of im... | Movaffaq Kateb, Jon Tomas Gudmundsson, Snorri Ingvarsson | 2023-02-28T16:45:13Z | http://arxiv.org/abs/2302.14745v1 | Epitaxial growth and characterization of (001) [NiFe/M]\({}_{20}\) (M = Cu, CuPt and Pt) superlattices
###### Abstract
We present optimization of [(15 A) Ni\({}_{0}\)Fe\({}_{20}\)/(5 A) M]\({}_{20}\) single crystal multilayers on (001) MgO, with M being Cu, Cu\({}_{50}\)Pt\({}_{50}\) and Pt. These superlattices were ... |
2309.16220 | Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection
in Medical Tabular Data | Despite their success, Machine Learning (ML) models do not generalize
effectively to data not originating from the training distribution. To reliably
employ ML models in real-world healthcare systems and avoid inaccurate
predictions on out-of-distribution (OOD) data, it is crucial to detect OOD
samples. Numerous OOD de... | Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Ciná | 2023-09-28T07:52:01Z | http://arxiv.org/abs/2309.16220v1 | # Unmasking the Chameleons: A Benchmark for
###### Abstract
Despite their success, Machine Learning (ML) models do not generalize effectively to data not originating from the training distribution. To reliably employ ML models in real-world healthcare systems and avoid inaccurate predictions on out-of-distribution (O... |
2309.06033 | Energy-Aware Federated Learning with Distributed User Sampling and
Multichannel ALOHA | Distributed learning on edge devices has attracted increased attention with
the advent of federated learning (FL). Notably, edge devices often have limited
battery and heterogeneous energy availability, while multiple rounds are
required in FL for convergence, intensifying the need for energy efficiency.
Energy depleti... | Rafael Valente da Silva, Onel L. Alcaraz López, Richard Demo Souza | 2023-09-12T08:05:39Z | http://arxiv.org/abs/2309.06033v1 | # Energy-Aware Federated Learning with Distributed User Sampling and Multichannel ALOHA
###### Abstract
Distributed learning on edge devices has attracted increased attention with the advent of federated learning (FL). Notably, edge devices often have limited battery and heterogeneous energy availability, while multi... |
2309.09300 | AutoAM: An End-To-End Neural Model for Automatic and Universal Argument
Mining | Argument mining is to analyze argument structure and extract important
argument information from unstructured text. An argument mining system can help
people automatically gain causal and logical information behind the text. As
argumentative corpus gradually increases, like more people begin to argue and
debate on soci... | Lang Cao | 2023-09-17T15:26:21Z | http://arxiv.org/abs/2309.09300v1 | # AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining
###### Abstract
Argument mining is to analyze argument structure and extract important argument information from unstructured text. An argument mining system can help people automatically gain causal and logical information behind the te... |
2309.11229 | Trace Monomial Boolean Functions with Large High-Order Nonlinearities | Exhibiting an explicit Boolean function with a large high-order nonlinearity
is an important problem in cryptography, coding theory, and computational
complexity. We prove lower bounds on the second-order, third-order, and
higher-order nonlinearities of some trace monomial Boolean functions.
We prove lower bounds on ... | Jinjie Gao, Haibin Kan, Yuan Li, Jiahua Xu, Qichun Wang | 2023-09-20T11:40:19Z | http://arxiv.org/abs/2309.11229v1 | # Trace Monomial Boolean Functions with Large High-Order Nonlinearities
###### Abstract
Exhibiting an explicit Boolean function with a large high-order nonlinearity is an important problem in cryptography, coding theory, and computational complexity. We prove lower bounds on the second-order, third-order, and higher-... |
2309.16546 | Correcting for heterogeneity in real-time epidemiological indicators | Auxiliary data sources have become increasingly important in epidemiological
surveillance, as they are often available at a finer spatial and temporal
resolution, larger coverage, and lower latency than traditional surveillance
signals. We describe the problem of spatial and temporal heterogeneity in these
signals deri... | Aaron Rumack, Roni Rosenfeld, F. William Townes | 2023-09-28T15:57:18Z | http://arxiv.org/abs/2309.16546v1 | Correcting for heterogeneity in real-time epidemiological indicators
## Abstract
Auxiliary data sources have become increasingly important in epidemiological surveillance, as they are often available at a finer spatial and temporal resolution, larger coverage, and lower latency than traditional surveillance signals. ... |
2309.10137 | Spatz: Clustering Compact RISC-V-Based Vector Units to Maximize
Computing Efficiency | The ever-increasing computational and storage requirements of modern
applications and the slowdown of technology scaling pose major challenges to
designing and implementing efficient computer architectures. In this paper, we
leverage the architectural balance principle to alleviate the bandwidth
bottleneck at the L1 da... | Matheus Cavalcante, Matteo Perotti, Samuel Riedel, Luca Benini | 2023-09-18T20:26:25Z | http://arxiv.org/abs/2309.10137v1 | # Spatz: Clustering Compact RISC-V-Based Vector Units to Maximize Computing Efficiency
###### Abstract
The ever-increasing computational and storage requirements of modern applications and the slowdown of technology scaling pose major challenges to designing and implementing efficient computer architectures. In this ... |
2309.14351 | To build or not to build -- A queueing-based approach to timetable
independent railway junction infrastructure dimensioning | Many infrastructure managers have the goal to increase the capacity of their
railway infrastructure due to an increasing demand. While methods for
performance calculations of railway line infrastructure are already well
established, the determination of railway junction capacity remains a
challenge. This work utilizes ... | Tamme Emunds, Nils Nießen | 2023-09-20T12:51:10Z | http://arxiv.org/abs/2309.14351v1 | To build or not to build - A queueing-based approach to timetable independent railway junction infrastructure dimensioning
###### Abstract
Many infrastructure managers have the goal to increase the capacity of their railway infrastructure due to an increasing demand. While methods for performance calculations of rail... |
2309.11201 | Noise-induced transition from superfluid to vortex state in
two-dimensional nonequilibrium polariton condensates -- semi-analytical
treatment | We develop a semi-analytical description for the
Berezinskii-Kosterlitz-Thouless (BKT) like phase transition in nonequilibrium
Bose-Einstein condensates. Our theoretical analysis is based on a noisy
generalized Gross-Pitaevskii equation. Above a critical strength of the noise,
spontaneous vortex-antivortex pairs are ge... | Vladimir N. Gladilin, Michiel Wouters | 2023-09-20T10:38:03Z | http://arxiv.org/abs/2309.11201v1 | Noise-induced transition from superfluid to vortex state in two-dimensional nonequilibrium polariton condensates - semi-analytical treatment
###### Abstract
We develop a semi-analytical description for the Berezinskii-Kosterlitz-Thouless (BKT) like phase transition in nonequilibrium Bose-Einstein condensates. Our the... |
2309.08988 | Multi-objective tuning for torque PD controllers of cobots | Collaborative robotics is a new and challenging field in the realm of motion
control and human-robot interaction. The safety measures needed for a reliable
interaction between the robot and its environment hinder the use of classical
control methods, pushing researchers to try new techniques such as machine
learning (M... | Diego Navarro-Cabrera, Niceto R. Luque, Eduardo Ros | 2023-09-16T13:06:36Z | http://arxiv.org/abs/2309.08988v1 | # Multi-objective tuning for torque PD controllers of cobots
###### Abstract
Collaborative robotics is a new and challenging field in the realm of motion control and human-robot interaction. The safety measures needed for a reliable interaction between the robot and its environment hinder the use of classical control... |
2309.14379 | Machine-assisted mixed methods: augmenting humanities and social
sciences with artificial intelligence | The increasing capacities of large language models (LLMs) present an
unprecedented opportunity to scale up data analytics in the humanities and
social sciences, augmenting and automating qualitative analytic tasks
previously typically allocated to human labor. This contribution proposes a
systematic mixed methods frame... | Andres Karjus | 2023-09-24T14:21:50Z | http://arxiv.org/abs/2309.14379v1 | Machine-assisted mixed methods: augmenting humanities and social sciences with artificial intelligence
###### Abstract
The increasing capacities of large language models (LLMs) present an unprecedented opportunity to scale up data analytics in the humanities and social sciences, augmenting and automating qualitative ... |
2309.03605 | Virtual segmentation of a small contact HPGe detector: inference of hit
positions of single-site events via pulse shape analysis | Exploring hit positions of recorded events can help to understand and
suppress backgrounds in rare event searching experiments. In this study, we
virtually segment a small contact P-type high purity germanium detector (HPGe)
into two layers. Single-site events (SSEs) in each layer are selected by an
algorithm based on ... | W. H. Dai, H. Ma, Z. Zeng, L. T. Yang, Q. Yue, J. P. Cheng | 2023-09-07T10:00:26Z | http://arxiv.org/abs/2309.03605v1 | Virtual segmentation of a small contact HPGe detector: inference of hit positions of single-site events via pulse shape analysis
###### Abstract
Exploring hit positions of recorded events can help to understand and suppress backgrounds in rare event searching experiments. In this study, we virtually segment a small c... |
2309.15067 | Logic Locking based Trojans: A Friend Turns Foe | Logic locking and hardware Trojans are two fields in hardware security that
have been mostly developed independently from each other. In this paper, we
identify the relationship between these two fields. We find that a common
structure that exists in many logic locking techniques has desirable properties
of hardware Tr... | Yuntao Liu, Aruna Jayasena, Prabhat Mishra, Ankur Srivastava | 2023-09-26T16:55:42Z | http://arxiv.org/abs/2309.15067v1 | # Logic Locking based Trojans: A Friend Turns Foe
###### Abstract
Logic locking and hardware Trojans are two fields in hardware security that have been mostly developed independently from each other. In this paper, we identify the relationship between these two fields. We find that a common structure that exists in m... |
2309.15701 | HyPoradise: An Open Baseline for Generative Speech Recognition with
Large Language Models | Advancements in deep neural networks have allowed automatic speech
recognition (ASR) systems to attain human parity on several publicly available
clean speech datasets. However, even state-of-the-art ASR systems experience
performance degradation when confronted with adverse conditions, as a
well-trained acoustic model... | Chen Chen, Yuchen Hu, Chao-Han Huck Yang, Sabato Macro Siniscalchi, Pin-Yu Chen, Eng Siong Chng | 2023-09-27T14:44:10Z | http://arxiv.org/abs/2309.15701v2 | # HyPordise: An Open Baseline for Generative Speech Recognition with Large Language Models
###### Abstract
Advancements in deep neural networks have allowed automatic speech recognition (ASR) systems to attain human parity on several publicly available clean speech datasets. However, even state-of-the-art ASR systems... |
2301.13552 | Minimal Left-Right Symmetric Model with $A_4$ modular symmetry | In this paper, we have realized the left-right symmetric model with modular
symmetry. We have used $\Gamma$(3) modular group which is isomorphic to
non-abelian discrete symmetry group $A_4$. The advantage of using modular
symmetry is the non-requirement for the use of extra particles called
'flavons'. In this model, th... | Ankita Kakoti, Bichitra Bijay Boruah, Mrinal Kumar Das | 2023-01-31T11:04:01Z | http://arxiv.org/abs/2301.13552v1 | # Minimal Left-Right Symmetric Model with \(A_{4}\) modular symmetry
###### Abstract
In this paper, we have realized the left-right symmetric model with modular symmetry. We have used \(\Gamma(3)\) modular group which is isomorphic to non-abelian discrete symmetry group \(A_{4}\). The advantage of using modular symme... |
2309.07305 | SHIELD: Secure Haplotype Imputation Employing Local Differential Privacy | We introduce Secure Haplotype Imputation Employing Local Differential privacy
(SHIELD), a program for accurately estimating the genotype of target samples at
markers that are not directly assayed by array-based genotyping platforms while
preserving the privacy of donors to public reference panels. At the core of
SHIELD... | Marc Harary | 2023-09-13T20:51:11Z | http://arxiv.org/abs/2309.07305v1 | # SHIELD: Secure Haplotype Imputation Employing Local Differential Privacy
###### Abstract
We introduce Secure Haplotype Imputation Employing Local Differential privacy (SHIELD), a program for accurately estimating the genotype of target samples at markers that are not directly assayed by array-based genotyping platf... |
2306.17793 | Screw and Lie Group Theory in Multibody Dynamics -- Recursive Algorithms
and Equations of Motion of Tree-Topology Systems | Screw and Lie group theory allows for user-friendly modeling of multibody
systems (MBS) while at the same they give rise to computationally efficient
recursive algorithms. The inherent frame invariance of such formulations allows
for use of arbitrary reference frames within the kinematics modeling (rather
than obeying ... | Andreas Mueller | 2023-06-30T16:48:25Z | http://arxiv.org/abs/2306.17793v1 | Screw and Lie Group Theory in Multibody Dynamics Recursive Algorithms and Equations of Motion of Tree-Topology Systems
###### Abstract
Screw and Lie group theory allows for user-friendly modeling of multibody systems (MBS) while at the same they give rise to computationally efficient recursive algorithms. The inheren... |
2301.12894 | F-transforms determined by overlap and grouping maps over a complete
lattice | This paper is about the study of F-transforms based on overlap and grouping
maps, residual and co-residual implicator over complete lattice from both
constructive and axiomatic approaches. Further, the duality, basic properties,
and the inverse of proposed F-transforms have been studied, and axiomatic
characterizations... | Abha Tripathi, S. P. Tiwari, Sutapa Mahato | 2022-12-16T14:44:50Z | http://arxiv.org/abs/2301.12894v1 | # \(F\)-transforms determined by overlap and grouping maps over a complete lattice
###### Abstract
This paper is about the study of \(F\)-transforms based on overlap and grouping maps, residual and co-residual implicator over complete lattice from both constructive and axiomatic approaches. Further, the duality, basi... |
2309.16208 | Low-rank tensor completion via tensor joint rank with logarithmic
composite norm | Low-rank tensor completion (LRTC) aims to recover a complete low-rank tensor
from incomplete observed tensor, attracting extensive attention in various
practical applications such as image processing and computer vision. However,
current methods often perform well only when there is a sufficient of observed
information... | Hongbing Zhang | 2023-09-28T07:17:44Z | http://arxiv.org/abs/2309.16208v2 | # Nonconvex third-order Tensor Recovery Based on Logarithmic Minimax Function
###### Abstract
Recent researches have shown that low-rank tensor recovery based non-convex relaxation has gained extensive attention. In this context, we propose a new Logarithmic Minimax (LM) function. The comparative analysis between the... |
2309.11567 | On the Hagedorn behavior of the superstring propating in a cosmological
time dependent background | In this work the LvN quantization of the type IIB superstring is carried on
in a time dependent plane wave background with a constant self-dual
Ramond-Ramond 5-form and a linear dilaton in the light-like direction. Such an
endeavour allows us to define an invariant density matrix and study important
issues in real time... | Daniel Luiz Nedel | 2023-09-20T18:10:46Z | http://arxiv.org/abs/2309.11567v1 | # On the Hagedorn behavior of the superstring
###### Abstract
In this work the LvN quantization of the type IIB superstring is carried on in a time dependent plane wave background with a constant self-dual Ramond-Ramond 5-form and a linear dilaton in the light-like direction. Such an endeavour allows us to define an ... |
2309.08022 | Empowering Visually Impaired Individuals: A Novel Use of Apple Live
Photos and Android Motion Photos | Numerous applications have been developed to assist visually impaired
individuals that employ a machine learning unit to process visual input.
However, a critical challenge with these applications is the sub-optimal
quality of images captured by the users. Given the complexity of operating a
camera for visually impaire... | Seyedalireza Khoshsirat, Chandra Kambhamettu | 2023-09-14T20:46:35Z | http://arxiv.org/abs/2309.08022v1 | Empowering Visually Impaired Individuals: A Novel Use of Apple Live Photos and Android Motion Photos
###### Abstract
Numerous applications have been developed to assist visually impaired individuals that employ a machine learning unit to process visual input. However, a critical challenge with these applications is t... |
2301.13546 | Joint Task Offloading and Cache Placement for Energy-Efficient Mobile
Edge Computing Systems | This letter investigates a cache-enabled multiuser mobile edge computing
(MEC) system with dynamic task arrivals, taking into account the impact of
proactive cache placement on the system's overall energy consumption. We
consider that an access point (AP) schedules a wireless device (WD) to offload
computational tasks ... | Jingxuan Liang, Hong Xing, Feng Wang, Vincent K. N. Lau | 2023-01-31T10:47:59Z | http://arxiv.org/abs/2301.13546v1 | # Joint Task Offloading and Cache Placement for Energy-Efficient Mobile Edge Computing Systems
###### Abstract
This letter investigates a cache-enabled multiuser mobile edge computing (MEC) system with dynamic task arrivals, taking into account the impact of proactive cache placement on the system's overall energy co... |
2309.07311 | Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and
Simplicity Bias in MLMs | Most interpretability research in NLP focuses on understanding the behavior
and features of a fully trained model. However, certain insights into model
behavior may only be accessible by observing the trajectory of the training
process. We present a case study of syntax acquisition in masked language
models (MLMs) that... | Angelica Chen, Ravid Shwartz-Ziv, Kyunghyun Cho, Matthew L. Leavitt, Naomi Saphra | 2023-09-13T20:57:11Z | http://arxiv.org/abs/2309.07311v5 | # Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
###### Abstract
Most interpretability research in NLP focuses on understanding the behavior and features of a fully trained model. However, certain insights into model behavior may only be accessible by observing the trajec... |
2302.14779 | Twisted Drinfeld Centers and Framed String-Nets | We discuss a string-net construction on 2-framed surfaces, taking as
algebraic input a finite, rigid tensor category, which is neither assumed to be
pivotal nor semi-simple. It is shown that circle categories of our framed
string-net construction essentially compute Drinfeld centers twisted by powers
of the double dual... | Hannes Knötzele, Christoph Schweigert, Matthias Traube | 2023-02-28T17:24:32Z | http://arxiv.org/abs/2302.14779v3 | # Twisted Drinfeld Centers and Framed String-Nets
###### Abstract.
We discuss a string-net construction on 2-framed surfaces, taking as algebraic input a finite, rigid tensor category, which is neither assumed to be pivotal nor semi-simple. It is shown that circle categories of our framed string-net construction esse... |
2309.05506 | Singularity theory of Weyl-point creation and annihilation | Weyl points (WP) are robust spectral degeneracies, which can not be split by
small perturbations, as they are protected by their non-zero topological
charge. For larger perturbations, WPs can disappear via pairwise annihilation,
where two oppositely charged WPs merge, and the resulting neutral degeneracy
disappears. Th... | György Frank, Gergő Pintér, András Pályi | 2023-09-11T14:49:30Z | http://arxiv.org/abs/2309.05506v1 | # Singularity theory of Weyl-point creation and annihilation
###### Abstract
Weyl points (WP) are robust spectral degeneracies, which can not be split by small perturbations, as they are protected by their non-zero topological charge. For larger perturbations, WPs can disappear via pairwise annihilation, where two op... |
2309.03177 | 3D Object Positioning Using Differentiable Multimodal Learning | This article describes a multi-modal method using simulated Lidar data via
ray tracing and image pixel loss with differentiable rendering to optimize an
object's position with respect to an observer or some referential objects in a
computer graphics scene. Object position optimization is completed using
gradient descen... | Sean Zanyk-McLean, Krishna Kumar, Paul Navratil | 2023-09-06T17:30:26Z | http://arxiv.org/abs/2309.03177v1 | # 3D Object Positioning Using Differentiable Multimodal Learning
###### Abstract
This article describes a multi-modal method using simulated Lidar data via ray tracing and image pixel loss with differentiable rendering to optimize an object's position with respect to an observer or some referential objects in a compu... |
2309.04618 | Simulation-driven engineering for the management of harmful algal and
cyanobacterial blooms | Harmful Algal and Cyanobacterial Blooms (HABs), occurring in inland and
maritime waters, pose threats to natural environments by producing toxins that
affect human and animal health. In the past, HABs have been assessed mainly by
the manual collection and subsequent analysis of water samples and occasionally
by automat... | José L. Risco-Martín, Segundo Esteban, Jesús Chacón, Gonzalo Carazo-Barbero, Eva Besada-Portas, José A. López-Orozco | 2023-09-08T22:13:48Z | http://arxiv.org/abs/2309.04618v1 | # Simulation-driven engineering for the management of harmful algal and cyanobacterial blooms
###### Abstract
Harmful Algal and Cyanobacterial Blooms (HABs), occurring in inland and maritime waters, pose threats to natural environments by producing toxins that affect human and animal health. In the past, HABs have be... |
2301.01624 | Pattern Recognition Experiments on Mathematical Expressions | We provide the results of pattern recognition experiments on mathematical
expressions.
We give a few examples of conjectured results. None of which was thoroughly
checked for novelty. We did not attempt to prove all the relations found and
focused on their generation. | David Naccache, Ofer Yifrach-Stav | 2022-12-21T10:53:32Z | http://arxiv.org/abs/2301.01624v1 | # Pattern Recognition Experiments on Mathematical Expressions
###### Abstract
We provide the results of pattern recognition experiments on mathematical expressions.
We give a few examples of conjectured results. None of which was thoroughly checked for novelty. We did not attempt to prove all the relations found and... |
2308.16653 | Sketches, moves and partitions: counting regions of deformations of
reflection arrangements | The collection of reflecting hyperplanes of a finite Coxeter group is called
a reflection arrangement and it appears in many subareas of combinatorics and
representation theory. We focus on the problem of counting regions of
reflection arrangements and their deformations. Inspired by the recent work of
Bernardi, we sho... | Priyavrat Deshpande, Krishna Menon | 2023-08-31T11:51:53Z | http://arxiv.org/abs/2308.16653v1 | # Sketches, moves and partitions: counting regions of deformations of reflection arrangements
###### Abstract.
The collection of reflecting hyperplanes of a finite Coxeter group is called a reflection arrangement and it appears in many subareas of combinatorics and representation theory. We focus on the problem of co... |
2309.08744 | Personalized Food Image Classification: Benchmark Datasets and New
Baseline | Food image classification is a fundamental step of image-based dietary
assessment, enabling automated nutrient analysis from food images. Many current
methods employ deep neural networks to train on generic food image datasets
that do not reflect the dynamism of real-life food consumption patterns, in
which food images... | Xinyue Pan, Jiangpeng He, Fengqing Zhu | 2023-09-15T20:11:07Z | http://arxiv.org/abs/2309.08744v1 | # Personalized Food Image Classification: Benchmark Datasets and New Baseline
###### Abstract
Food image classification is a fundamental step of image-based dietary assessment, enabling automated nutrient analysis from food images. Many current methods employ deep neural networks to train on generic food image datase... |
2302.00081 | SonoUno web: an innovative user centred web interface | Sonification as a complement of visualization is been under research for
decades as a new ways of data deployment. ICAD conferences, gather together
specialists from different disciplines to discuss about sonification. Different
tools as sonoUno, starSound and Web Sandbox are attempt to reach a tool to open
astronomica... | Gonzalo De La Vega, Leonardo Martin Exequiel Dominguez, Johanna Casado, Beatriz García | 2023-01-31T20:23:00Z | http://arxiv.org/abs/2302.00081v1 | # SonoUno web: an innovative user centred web interface+
###### Abstract
Sonification as a complement of visualization is been under research for decades as a new ways of data deployment. ICAD conferences, gather together specialists from different disciplines to discuss about sonification. Different tools as sonoUno... |
2309.15098 | Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of
Language Models | We investigate the internal behavior of Transformer-based Large Language
Models (LLMs) when they generate factually incorrect text. We propose modeling
factual queries as constraint satisfaction problems and use this framework to
investigate how the LLM interacts internally with factual constraints. We find
a strong po... | Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik, Hamid Palangi, Ece Kamar, Besmira Nushi | 2023-09-26T17:48:55Z | http://arxiv.org/abs/2309.15098v2 | # Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
###### Abstract
We investigate the internal behavior of Transformer-based Large Language Models (LLMs) when they generate factually incorrect text. We propose modeling factual queries as Constraint Satisfaction Problems and use... |
2310.00290 | Universality of periodic points in bounded discrete time series | We consider arbitrary bounded discrete time series originating from dynamical
system. Without any use of the Fourier transform, we find periodic points which
suitably characterizes (i.e. independent of Lyapunov exponent) the
corresponding time series. In particular, bounded discrete time series
generated by the autoreg... | Chikara Nakayama, Tsuyoshi Yoneda | 2023-09-30T07:46:47Z | http://arxiv.org/abs/2310.00290v6 | Mathematical structure of perfect predictive reservoir computing for autoregressive type of time series data
###### Abstract.
Reservoir Computing (RC) is a type of recursive neural network (RNN), and there can be no doubt that the RC will be more and more widely used for building future prediction models for time-ser... |
2309.15926 | Magnetic flux plays an important role during a BHXRB outburst in
radiative 2T GRMHD simulations | Black hole (BH) X-ray binaries cycle through different spectral states of
accretion over the course of months to years. Although fluctuations in the BH
mass accretion rate are generally recognized as the most important component of
state transitions, it is becoming increasingly evident that magnetic fields
play a simil... | M. T. P. Liska, N. Kaaz, K. Chatterjee, Razieh Emami, Gibwa Musoke | 2023-09-27T18:05:02Z | http://arxiv.org/abs/2309.15926v2 | # Magnetic flux plays an important role during a BHXRB outburst in radiative 2T GRMHD simulations
###### Abstract
Black hole (BH) X-ray binaries cycle through different spectral states of accretion over the course of months to years. Although fluctuations in the BH mass accretion rate are generally recognized as the ... |
2309.12091 | Scotogenic model from an extended electroweak symmetry | We argue that the higher weak isospin $SU(3)_L$ manifestly unifies dark
matter and normal matter in its isomultiplets for which dark matter carries a
conserved dark charge while normal matter does not. The resultant gauge
symmetry is given by $SU(3)_C\otimes SU(3)_L \otimes U(1)_X\otimes U(1)_G$,
where the first factor... | Phung Van Dong, Duong Van Loi | 2023-09-21T14:03:04Z | http://arxiv.org/abs/2309.12091v2 | # Scotoelectroweak theory
###### Abstract
We argue that the higher weak isospin \(SU(3)_{L}\) manifestly unifies dark matter and normal matter in its isomultiplets for which dark matter carries a conserved dark charge while normal matter does not. The resultant gauge symmetry is given by \(SU(3)_{C}\otimes SU(3)_{L}\... |
2302.14792 | Continuous Stability Conditions of Type A and Measured Laminations of
the Hyperbolic Plane | We introduce stability conditions (in the sense of King) for representable
modules of continuous quivers of type A along with a special criteria called
the four point condition. The stability conditions are defined using a
generalization of delta functions, called half-delta functions. We show that
for a continuous qui... | Kiyoshi Igusa, Job Daisie Rock | 2023-02-28T17:44:32Z | http://arxiv.org/abs/2302.14792v1 | Continuous stability conditions of type \(\mathbb{A}\) and measured laminations of the hyperbolic plane
###### Abstract.
We introduce stability conditions (in the sense of King) for representable modules of continuous quivers of type \(\mathbb{A}\) along with a special criteria called the four point condition. The st... |
2309.11598 | A theory satisfying a strong version of Tennenbaum's theorem | We answer a question of Pakhomov by showing that there is a consistent, c.e.
theory $T$ such that no theory which is definitionally equivalent to $T$ has a
computable model. A key tool in our proof is the model-theoretic notion of
mutual algebraicity. | Patrick Lutz, James Walsh | 2023-09-20T19:21:11Z | http://arxiv.org/abs/2309.11598v1 | # A theory satisfying a strong version of Tennenbaum's theorem
###### Abstract.
We answer a question of Pakhomov by showing that there is a consistent, c.e. theory \(T\) such that no theory which is definitionally equivalent to \(T\) has a computable model. A key tool in our proof is the model-theoretic notion of mut... |
2307.00139 | 3D oxygen vacancy order and defect-property relations in multiferroic
(LuFeO$_3$)$_9$/(LuFe$_2$O$_4$)$_1$ superlattices | Oxide heterostructures exhibit a vast variety of unique physical properties.
Examples are unconventional superconductivity in layered nickelates and
topological polar order in (PbTiO$_3$)$_n$/(SrTiO$_3$)$_n$ superlattices.
Although it is clear that variations in oxygen content are crucial for the
electronic correlation... | K. A. Hunnestad, H. Das, C. Hatzoglou, M. Holtz, C. M. Brooks, A. T. J. van Helvoort, D. A. Muller, D. G. Schlom, J. A. Mundy, D. Meier | 2023-06-30T21:14:47Z | http://arxiv.org/abs/2307.00139v1 | D oxygen vacancy order and defect-property relations in multiferroic (LuFeO\({}_{3}\))\({}_{9}\)/(LuFe\({}_{2}\)O\({}_{4}\))\({}_{1}\) superlattices
###### Abstract
Oxide heterostructures exhibit a vast variety of unique physical properties. Examples are unconventional superconductivity in layered nickelates[1] and t... |
2306.00210 | PERFOGRAPH: A Numerical Aware Program Graph Representation for
Performance Optimization and Program Analysis | The remarkable growth and significant success of machine learning have
expanded its applications into programming languages and program analysis.
However, a key challenge in adopting the latest machine learning methods is the
representation of programming languages, which directly impacts the ability of
machine learnin... | Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari | 2023-05-31T21:59:50Z | http://arxiv.org/abs/2306.00210v2 | Perfograph: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis
###### Abstract
The remarkable growth and significant success of machine learning have expanded its applications into programming languages and program analysis. However, a key challenge in adopting the latest... |
2309.03188 | Leo T Dissected with the MUSE-Faint Survey | Leo T is the lowest mass galaxy known to contain neutral gas and to show
signs of recent star formation, which makes it a valuable laboratory for
studying the nature of gas and star formation at the limits of where galaxies
are found to have rejuvenating episodes of star formation. Here we discuss a
novel study of Leo ... | Daniel Vaz, Jarle Brinchmann, The MUSE Collaboration | 2023-09-06T17:51:47Z | http://arxiv.org/abs/2309.03188v1 | # Leo T Dissected with the MUSE-Faint Survey
###### Abstract
Leo T is the lowest mass galaxy known to contain neutral gas and to show signs of recent star formation, which makes it a valuable laboratory for studying the nature of gas and star formation at the limits of where galaxies are found to have rejuvenating ep... |
2310.20632 | Constrained Planarity in Practice -- Engineering the Synchronized
Planarity Algorithm | In the constrained planarity setting, we ask whether a graph admits a planar
drawing that additionally satisfies a given set of constraints. These
constraints are often derived from very natural problems; prominent examples
are Level Planarity, where vertices have to lie on given horizontal lines
indicating a hierarchy... | Simon D. Fink, Ignaz Rutter | 2023-10-31T17:01:32Z | http://arxiv.org/abs/2310.20632v1 | # Constrained Planarity in Practice
###### Abstract.
In the constrained planarity setting, we ask whether a graph admits a planar drawing that additionally satisfies a given set of constraints. These constraints are often derived from very natural problems; prominent examples are Level Planarity, where vertices have ... |
2309.14392 | Unveiling Fairness Biases in Deep Learning-Based Brain MRI
Reconstruction | Deep learning (DL) reconstruction particularly of MRI has led to improvements
in image fidelity and reduction of acquisition time. In neuroimaging, DL
methods can reconstruct high-quality images from undersampled data. However, it
is essential to consider fairness in DL algorithms, particularly in terms of
demographic ... | Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris | 2023-09-25T11:07:25Z | http://arxiv.org/abs/2309.14392v1 | # Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction
###### Abstract
Deep learning (DL) reconstruction particularly of MRI has led to improvements in image fidelity and reduction of acquisition time. In neuroimaging, DL methods can reconstruct high-quality images from undersampled data. However... |
2305.19563 | Zero-Shot Automatic Pronunciation Assessment | Automatic Pronunciation Assessment (APA) is vital for computer-assisted
language learning. Prior methods rely on annotated speech-text data to train
Automatic Speech Recognition (ASR) models or speech-score data to train
regression models. In this work, we propose a novel zero-shot APA method based
on the pre-trained a... | Hongfu Liu, Mingqian Shi, Ye Wang | 2023-05-31T05:17:17Z | http://arxiv.org/abs/2305.19563v1 | # Zero-Shot Automatic Pronunciation Assessment
###### Abstract
Automatic Pronunciation Assessment (APA) is vital for computer-assisted language learning. Prior methods rely on annotated speech-text data to train Automatic Speech Recognition (ASR) models or speech-score data to train regression models. In this work, w... |
2308.16874 | D-VAT: End-to-End Visual Active Tracking for Micro Aerial Vehicles | Visual active tracking is a growing research topic in robotics due to its key
role in applications such as human assistance, disaster recovery, and
surveillance. In contrast to passive tracking, active tracking approaches
combine vision and control capabilities to detect and actively track the
target. Most of the work ... | Alberto Dionigi, Simone Felicioni, Mirko Leomanni, Gabriele Costante | 2023-08-31T17:21:18Z | http://arxiv.org/abs/2308.16874v2 | # D-VAT: End-to-End Visual Active Tracking
###### Abstract
Visual active tracking is a growing research topic in robotics due to its key role in applications such as human assistance, disaster recovery, and surveillance. In contrast to passive tracking, active tracking approaches combine vision and control capabiliti... |
2309.16585 | Text-to-3D using Gaussian Splatting | Automatic text-to-3D generation that combines Score Distillation Sampling
(SDS) with the optimization of volume rendering has achieved remarkable
progress in synthesizing realistic 3D objects. Yet most existing text-to-3D
methods by SDS and volume rendering suffer from inaccurate geometry, e.g., the
Janus issue, since ... | Zilong Chen, Feng Wang, Yikai Wang, Huaping Liu | 2023-09-28T16:44:31Z | http://arxiv.org/abs/2309.16585v4 | # Text-to-3D using Gaussian Splatting
###### Abstract
In this paper, we present Gaussian Splatting based text-to-3D generation (Gsgen), a novel approach for generating high-quality 3D objects. Previous methods suffer from inaccurate geometry and limited fidelity due to the absence of 3D prior and proper representatio... |
2309.08963 | Struc-Bench: Are Large Language Models Really Good at Generating Complex
Structured Data? | Despite the remarkable capabilities of Large Language Models (LLMs) like
GPT-4, producing complex, structured tabular data remains challenging. Our
study assesses LLMs' proficiency in structuring tables and introduces a novel
fine-tuning method, cognizant of data structures, to bolster their performance.
We unveil Stru... | Xiangru Tang, Yiming Zong, Jason Phang, Yilun Zhao, Wangchunshu Zhou, Arman Cohan, Mark Gerstein | 2023-09-16T11:31:58Z | http://arxiv.org/abs/2309.08963v3 | # Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
###### Abstract
Despite the power of Large Language Models (LLMs) like GPT-4, they still struggle with tasks that require generating complex, structured outputs. In this study, we assess the capability of Current LLMs in gener... |
2309.08793 | Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and
Explanation Generation | Fact-checking in financial domain is under explored, and there is a shortage
of quality dataset in this domain. In this paper, we propose Fin-Fact, a
benchmark dataset for multimodal fact-checking within the financial domain.
Notably, it includes professional fact-checker annotations and justifications,
providing exper... | Aman Rangapur, Haoran Wang, Ling Jian, Kai Shu | 2023-09-15T22:24:00Z | http://arxiv.org/abs/2309.08793v2 | # Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation
###### Abstract
Fact-checking in financial domain is under explored, and there is a shortage of quality dataset in this domain. In this paper, we propose Fin-Fact, a benchmark dataset for multimodal fact-checking within ... |
2307.16773 | AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of
Autism Spectrum Disorder | To easily obtain the knowledge about autism spectrum disorder and help its
early screening and diagnosis, we create AsdKB, a Chinese knowledge base on
autism spectrum disorder. The knowledge base is built on top of various
sources, including 1) the disease knowledge from SNOMED CT and ICD-10 clinical
descriptions on me... | Tianxing Wu, Xudong Cao, Yipeng Zhu, Feiyue Wu, Tianling Gong, Yuxiang Wang, Shenqi Jing | 2023-07-31T15:40:45Z | http://arxiv.org/abs/2307.16773v2 | # AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder
###### Abstract
To easily obtain the knowledge about autism spectrum disorder and help its early screening and diagnosis, we create AsdKB, a Chinese knowledge base on autism spectrum disorder. The knowledge base is bui... |
2306.17744 | Zespol: A Lightweight Environment for Training Swarming Agents | Agent-based modeling (ABM) and simulation have emerged as important tools for
studying emergent behaviors, especially in the context of swarming algorithms
for robotic systems. Despite significant research in this area, there is a lack
of standardized simulation environments, which hinders the development and
deploymen... | Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa | 2023-06-30T15:52:18Z | http://arxiv.org/abs/2306.17744v1 | # Zespol: A Lightweight Environment for Training Swarming Agents
###### Abstract.
Agent-based modeling (ABM) and simulation have emerged as important tools for studying emergent behaviors, especially in the context of swarming algorithms for robotic systems. Despite significant research in this area, there is a lack ... |
2309.06972 | Gravitational bremsstrahlung in plasmas and clusters | We study the gravitational bremsstrahlung owing to collisions mediated by a
$1/r$ potential. We combine classical and first order Born approximation
results in order to construct an approximate gravitational `Gaunt factor' for
the total emitted energy. We also obtain the cross-section with an angular
momentum cut-off, ... | A. M. Steane | 2023-09-13T14:05:48Z | http://arxiv.org/abs/2309.06972v2 | # Gravitational bremsstrahlung in plasmas and clusters
###### Abstract
We study the gravitational bremsstrahlung owing to collisions mediated by a \(1/r\) potential. We combine classical and first order Born approximation results in order to construct an approximate gravitational 'Gaunt factor' for the total emitted ... |
2309.08787 | Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata | Content metadata plays a very important role in movie recommender systems as
it provides valuable information about various aspects of a movie such as
genre, cast, plot synopsis, box office summary, etc. Analyzing the metadata can
help understand the user preferences to generate personalized recommendations
and item co... | Saurabh Agrawal, John Trenkle, Jaya Kawale | 2023-09-15T22:11:29Z | http://arxiv.org/abs/2309.08787v1 | # Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata
###### Abstract.
Content metadata plays a very important role in movie recommender systems as it provides valuable information about various aspects of a movie such as genre, cast, plot synopsis, box office summary, etc. Analyzing the metadata ca... |
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