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2310.09131
Machine learning-based prediction of Q-voter model in complex networks
In this article, we consider machine learning algorithms to accurately predict two variables associated with the $Q$-voter model in complex networks, i.e., (i) the consensus time and (ii) the frequency of opinion changes. Leveraging nine topological measures of the underlying networks, we verify that the clustering coe...
Aruane M. Pineda, Paul Kent, Colm Connaughton, Francisco A. Rodrigues
2023-10-13T14:18:03Z
http://arxiv.org/abs/2310.09131v1
# Machine learning-based prediction of \(Q\)-voter model in complex networks ###### Abstract In this article, we consider machine learning algorithms to accurately predict two variables associated with the \(Q\)-voter model in complex networks, i.e., (i) the consensus time and (ii) the frequency of opinion changes. L...
2303.09009
Accelerated Gradient and Skew-Symmetric Splitting Methods for a Class of Monotone Operator Equations
A class of monotone operator equations, which can be decomposed into sum of a gradient of a strongly convex function and a linear and skew-symmetric operator, is considered in this work. Based on discretization of the generalized gradient flow, gradient and skew-symmetric splitting (GSS) methods are proposed and proved...
Long Chen, Jingrong Wei
2023-03-16T00:49:54Z
http://arxiv.org/abs/2303.09009v1
Accelerated Gradient and Skew-Symmetric Splitting Methods for A Class of Monotone Operator Equations ###### Abstract A class of monotone operator equations, which can be decomposed into sum of a gradient of a strongly convex function and a linear and skew-symmetric operator, is considered in this work. Based on discr...
2310.06202
GPT-who: An Information Density-based Machine-Generated Text Detector
The Uniform Information Density (UID) principle posits that humans prefer to spread information evenly during language production. We examine if this UID principle can help capture differences between Large Language Models (LLMs)-generated and human-generated texts. We propose GPT-who, the first psycholinguistically-in...
Saranya Venkatraman, Adaku Uchendu, Dongwon Lee
2023-10-09T23:06:05Z
http://arxiv.org/abs/2310.06202v3
# GPT-who: ###### Abstract The Uniform Information Density principle posits that humans prefer to spread information evenly during language production. In this work, we examine if the UID principle can help capture differences between Large Language Models (LLMs) and human-generated text. We propose GPT-who, the firs...
2310.19322
Progressive Neural Network for Multi-Horizon Time Series Forecasting
In this paper, we introduce ProNet, an novel deep learning approach designed for multi-horizon time series forecasting, adaptively blending autoregressive (AR) and non-autoregressive (NAR) strategies. Our method involves dividing the forecasting horizon into segments, predicting the most crucial steps in each segment n...
Yang Lin
2023-10-30T07:46:40Z
http://arxiv.org/abs/2310.19322v2
# ProNet: Progressive Neural Network for Multi-Horizon Time Series Forecasting ###### Abstract In this paper, we introduce ProNet, an novel deep learning approach designed for multi-horizon time series forecasting, adaptively blending autoregressive (AR) and non-autoregressive (NAR) strategies. Our method involves di...
2308.03130
The Einstein-de Haas Effect in an $\textrm{Fe}_{15}$ Cluster
Classical models of spin-lattice coupling are at present unable to accurately reproduce results for numerous properties of ferromagnetic materials, such as heat transport coefficients or the sudden collapse of the magnetic moment in hcp-Fe under pressure. This inability has been attributed to the absence of a proper tr...
T. Wells, W. M. C. Foulkes, S. L. Dudarev, A. P. Horsfield
2023-08-06T14:44:31Z
http://arxiv.org/abs/2308.03130v2
# The Einstein-de Haas Effect in an Fe\({}_{15}\) Cluster ###### Abstract Classical models of spin-lattice coupling are at present unable to accurately reproduce results for numerous properties of ferromagnetic materials, such as heat transport coefficients or the sudden collapse of the magnetic moment in hcp-Fe unde...
2303.16129
Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This survey paper focuses on the deployment of AIGC applications, e.g., ChatGPT and Dall-E, at mobile edge networks, namely mobile AIGC networks, ...
Minrui Xu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han, Abbas Jamalipour, Dong In Kim, Xuemin Shen, Victor C. M. Leung, H. Vincent Poor
2023-03-28T16:52:05Z
http://arxiv.org/abs/2303.16129v4
# Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services ###### Abstract Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This survey paper focuses on th...
2310.15518
Non-Fungible Token Security
Non-fungible tokens (NFTs) are unique digital assets stored on the blockchain and is used to certify ownership and authenticity of the digital asset. NFTs were first created in 2014 while their popularity peaked between 2021 and 2022. In this paper, the authors dive into the world of Non-Fungible Tokens (NFTs), their h...
Ryleigh McKinney, Sundar Krishnan
2023-10-24T04:55:43Z
http://arxiv.org/abs/2310.15518v1
# Non-Fungible Token Security ###### Abstract Non-fungible tokens (NFTs) are unique digital assets stored on the blockchain and is used to certify ownership and authenticity of the digital asset. NFTs were first created in 2014 while their popularity peaked between 2021 and 2022. In this paper, the authors dive into ...
2305.09387
Non-Hermitian Stark Many-Body Localization
Utilizing exact diagonalization (ED) techniques, we investigate a one-dimensional, non-reciprocal, interacting hard-core boson model under a Stark potential with tail curvature. By employing the non-zero imaginary eigenenergies ratio, half-chain entanglement entropy, and eigenstate instability, we numerically confirm t...
Han-Ze Li, Xue-Jia Yu, Jian-Xin Zhong
2023-05-16T12:11:43Z
http://arxiv.org/abs/2305.09387v3
# Non-Hermitian Stark Many-Body Localization ###### Abstract Utilizing exact diagonalization (ED) techniques, we investigate a one-dimensional, non-reciprocal, interacting hard-core boson model under a Stark potential with tail curvature. By employing the non-zero imaginary eigenenergies ratio, half-chain entanglemen...
2302.12066
Teaching CLIP to Count to Ten
Large vision-language models (VLMs), such as CLIP, learn rich joint image-text representations, facilitating advances in numerous downstream tasks, including zero-shot classification and text-to-image generation. Nevertheless, existing VLMs exhibit a prominent well-documented limitation - they fail to encapsulate compo...
Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, Tali Dekel
2023-02-23T14:43:53Z
http://arxiv.org/abs/2302.12066v1
# Teaching CLIP to Count to Ten ###### Abstract Large vision-language models (VLMs), such as CLIP, learn rich joint image-text representations, facilitating advances in numerous downstream tasks, including zero-shot classification and text-to-image generation. Nevertheless, existing VLMs exhibit a prominent well-docu...
2308.07356
Age-Stratified Differences in Morphological Connectivity Patterns in ASD: An sMRI and Machine Learning Approach
Purpose: Age biases have been identified as an essential factor in the diagnosis of ASD. The objective of this study was to compare the effect of different age groups in classifying ASD using morphological features (MF) and morphological connectivity features (MCF). Methods: The structural magnetic resonance imaging (s...
Gokul Manoj, Sandeep Singh Sengar, Jac Fredo Agastinose Ronickom
2023-08-14T12:11:25Z
http://arxiv.org/abs/2308.07356v1
Age-Stratified Differences in Morphological Connectivity Patterns in ASD: An sMRI and Machine Learning Approach ###### Abstract **Purpose**: Age biases have been identified as an essential factor in the diagnosis of ASD. The objective of this study was to compare the effect of different age groups in classifying ASD ...
2307.06815
JSJ decompositions of knot exteriors, Dehn surgery and the $L$-space conjecture
In this article, we apply slope detection techniques to study properties of toroidal $3$-manifolds obtained by performing Dehn surgeries on satellite knots in the context of the $L$-space conjecture. We show that if $K$ is an $L$-space knot or admits an irreducible rational surgery with non-left-orderable fundamental g...
Steven Boyer, Cameron McA. Gordon, Ying Hu
2023-07-13T15:28:42Z
http://arxiv.org/abs/2307.06815v4
# JSJ Decompositions of Knot Exteriors, Dehn Surgery and the \(L\)-space Conjecture ###### Abstract. In this article, we apply slope detection techniques to study properties of toroidal \(3\)-manifolds obtained by performing Dehn surgeries on satellite knots in the context of the \(L\)-space conjecture. We show that ...
2301.04354
First 3D reconstruction of a blast furnace using muography
The blast furnace (BF) is the fundamental tool used in the iron manufacture. Due to the difficulty of accessing direct measurements of the inner phenomena, we determined the density distribution of its internal volume in order to improve its productivity using muography. This is an imaging technique based on the differ...
Amélie Cohu, Antoine Chevalier, Oleksandr Nechyporuk, Andreas Franzen, Jan Sauerwald, Jean-Christophe Ianigro, Jacques Marteau
2023-01-11T08:32:35Z
http://arxiv.org/abs/2301.04354v2
# First 3D reconstruction of a blast furnace using muography ###### Abstract The blast furnace (BF) is the fundamental tool used in the iron manufacture. Due to the difficulty of accessing direct measurements of the inner phenomena, we determined the density distribution of its internal volume in order to improve its...
2302.13378
Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive
Quadruped animal locomotion emerges from the interactions between the spinal central pattern generator (CPG), sensory feedback, and supraspinal drive signals from the brain. Computational models of CPGs have been widely used for investigating the spinal cord contribution to animal locomotion control in computational ne...
Milad Shafiee, Guillaume Bellegarda, Auke Ijspeert
2023-02-26T18:32:44Z
http://arxiv.org/abs/2302.13378v1
# _Puppeteer and Marionette:_ Learning Anticipatory Quadrupedal Locomotion ###### Abstract Quadruped animal locomotion emerges from the interactions between the spinal central pattern generator (CPG), sensory feedback, and supraspinal drive signals from the brain. Computational models of CPGs have been widely used fo...
2310.13169
A posteriori analysis for a mixed formulation of the Stokes spectral problem
In two and three dimensions, we design and analyze a posteriori error estimators for the mixed Stokes eigenvalue problem. The unknowns on this mixed formulation are the pseudotress, velocity and pressure. With a lowest order mixed finite element scheme, together with a postprocressing technique, we prove that the propo...
Felipe Lepe, Jesus Vellojin
2023-10-19T21:39:12Z
http://arxiv.org/abs/2310.13169v1
# A posteriori analysis for a mixed formulation of the Stokes spectral problem ###### Abstract. In two and three dimensions, we design and analyze a posteriori error estimators for the mixed Stokes eigenvalue problem. The unknowns on this mixed formulation are the pseudotress, velocity and pressure. With a lowest ord...
2305.08099
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations
Self-supervised learning (SSL) speech models such as wav2vec and HuBERT have demonstrated state-of-the-art performance on automatic speech recognition (ASR) and proved to be extremely useful in low label-resource settings. However, the success of SSL models has yet to transfer to utterance-level tasks such as speaker, ...
Weiwei Lin, Chenhang He, Man-Wai Mak, Youzhi Tu
2023-05-14T08:26:24Z
http://arxiv.org/abs/2305.08099v3
# Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations ###### Abstract Self-supervised learning (SSL) speech models such as wav2vec and HuBERT have demonstrated state-of-the-art performance on automatic speech recognition (ASR) and proved to be extremely useful in low label-...
2308.01727
Local Large Language Models for Complex Structured Medical Tasks
This paper introduces an approach that combines the language reasoning capabilities of large language models (LLMs) with the benefits of local training to tackle complex, domain-specific tasks. Specifically, the authors demonstrate their approach by extracting structured condition codes from pathology reports. The prop...
V. K. Cody Bumgardner, Aaron Mullen, Sam Armstrong, Caylin Hickey, Jeff Talbert
2023-08-03T12:36:13Z
http://arxiv.org/abs/2308.01727v1
# Local Large Language Models for Complex Structured Tasks ###### Abstract This paper introduces an approach that combines the language reasoning capabilities of large language models (LLMs) with the benefits of local training to tackle complex, domain-specific tasks. Specifically, the authors demonstrate their appro...
2303.03242
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis
Although deep learning (DL) models have shown great success in many medical image analysis tasks, deployment of the resulting models into real clinical contexts requires: (1) that they exhibit robustness and fairness across different sub-populations, and (2) that the confidence in DL model predictions be accurately exp...
Raghav Mehta, Changjian Shui, Tal Arbel
2023-03-06T16:01:30Z
http://arxiv.org/abs/2303.03242v1
# Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis ###### Abstract Although deep learning (DL) models have shown great success in many medical image analysis tasks, deployment of the resulting models into real clinical contexts requires: (1) that they exhibit robustness and fai...
2303.14058
Newton's methods for solving linear inverse problems with neural network coders
Neural networks functions are supposed to be able to encode the desired solution of an inverse problem very efficiently. In this paper, we consider the problem of solving linear inverse problems with neural network coders. First we establish some correspondences of this formulation with existing concepts in regularizat...
Otmar Scherzer, Bernd Hofmann, Zuhair Nashed
2023-03-24T15:08:42Z
http://arxiv.org/abs/2303.14058v1
# Newton's methods for solving linear inverse problems with neural network coders ###### Abstract Neural networks functions are supposed to be able to encode the desired solution of an inverse problem very efficiently. In this paper, we consider the problem of solving linear inverse problems with neural network coder...
2304.09910
Robust trajectory tracking for underactuated mechanical systems without velocity measurements
In this paper, the notion of contraction is used to solve the trajectory-tracking problem for a class of mechanical systems. Additionally, we propose a dynamic extension to remove velocity measurements from the controller while rejecting matched disturbances. In particular, we propose three control designs stemming fro...
N. Javanmardi, P. Borja, M. J. Yazdanpanah, J. M. A. Scherpen
2023-04-19T18:15:59Z
http://arxiv.org/abs/2304.09910v2
# Robust trajectory tracking for ###### Abstract In this paper, the notion of contraction is used to solve the trajectory-tracking problem for a class of mechanical systems. Additionally, we propose a dynamic extension to remove velocity measurements from the controller while rejecting matched disturbances. In partic...
2302.12700
Accounting for Differential Rotation in Calculations of the Sun's Angular Momentum-loss Rate
Sun-like stars shed angular momentum due to the presence of magnetised stellar winds. Magnetohydrodynamic models have been successful in exploring the dependence of this "wind-braking torque" on various stellar properties, however the influence of surface differential rotation is largely unexplored. As the wind-braking...
Adam J. Finley, Allan Sacha Brun
2023-02-24T15:58:13Z
http://arxiv.org/abs/2302.12700v1
# Accounting for differential rotation in calculations of the Sun's angular momentum-loss rate ###### Abstract Context:Sun-like stars shed angular momentum due to the presence of magnetised stellar winds. Magnetohydrodynamic models have been successful in exploring the dependence of this "wind-braking torque" on vari...
2303.15346
Optimal Message-Passing with Noisy Beeps
Beeping models are models for networks of weak devices, such as sensor networks or biological networks. In these networks, nodes are allowed to communicate only via emitting beeps: unary pulses of energy. Listening nodes only the capability of {\it carrier sensing}: they can only distinguish between the presence or abs...
Peter Davies
2023-03-27T15:58:42Z
http://arxiv.org/abs/2303.15346v1
# Optimal Message-Passing with Noisy Beeps ###### Abstract Beeping models are models for networks of weak devices, such as sensor networks or biological networks. In these networks, nodes are allowed to communicate only via emitting beeps: unary pulses of energy. Listening nodes only the capability of _carrier sensin...
2306.04495
Limits, approximation and size transferability for GNNs on sparse graphs via graphops
Can graph neural networks generalize to graphs that are different from the graphs they were trained on, e.g., in size? In this work, we study this question from a theoretical perspective. While recent work established such transferability and approximation results via graph limits, e.g., via graphons, these only apply ...
Thien Le, Stefanie Jegelka
2023-06-07T15:04:58Z
http://arxiv.org/abs/2306.04495v1
# Limits, approximation and size transferability for GNNs on sparse graphs via graphops ###### Abstract Can graph neural networks generalize to graphs that are different from the graphs they were trained on, e.g., in size? In this work, we study this question from a theoretical perspective. While recent work establis...
2301.11981
Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data
Source separation involves the ill-posed problem of retrieving a set of source signals that have been observed through a mixing operator. Solving this problem requires prior knowledge, which is commonly incorporated by imposing regularity conditions on the source signals, or implicitly learned through supervised or uns...
Ali Siahkoohi, Rudy Morel, Maarten V. de Hoop, Erwan Allys, Grégory Sainton, Taichi Kawamura
2023-01-27T20:38:07Z
http://arxiv.org/abs/2301.11981v2
# Unearthing InSights into Mars: ###### Abstract Source separation entails the ill-posed problem of retrieving a set of source signals observed through a mixing operator. Solving this problem requires prior knowledge, which is commonly incorporated by imposing regularity conditions on the source signals or implicitly...
2302.08980
Model Doctor for Diagnosing and Treating Segmentation Error
Despite the remarkable progress in semantic segmentation tasks with the advancement of deep neural networks, existing U-shaped hierarchical typical segmentation networks still suffer from local misclassification of categories and inaccurate target boundaries. In an effort to alleviate this issue, we propose a Model Doc...
Zhijie Jia, Lin Chen, Kaiwen Hu, Lechao Cheng, Zunlei Feng, Mingli Song
2023-02-17T16:35:24Z
http://arxiv.org/abs/2302.08980v2
# Model Doctor for Diagnosing and Treating Segmentation Error ###### Abstract Despite the remarkable progress in semantic segmentation tasks with the advancement of deep neural networks, existing U-shaped hierarchical typical segmentation networks still suffer from local misclassification of categories and inaccurate...
2301.00654
On the existence and uniqueness of solution to a stochastic Chemotaxis-Navier-Stokes model
In this article, we study a mathematical system which models the dynamic of the collective behaviour of oxygen-driven swimming bacteria in an aquatic fluid flowing in a two dimensional bounded domain under stochastic perturbation. This model can be seen as a stochastic version of Chemotaxis-Navier-Stokes model. We prov...
Erika Hausenblas, Boris Jidjou Moghomye, Paul André Razafimandimby
2023-01-02T13:14:29Z
http://arxiv.org/abs/2301.00654v1
# On the existence and uniqueness of solution to a stochastic chemotaxis-Navier-Stokes model ###### Abstract. In this article, we study a mathematical system which models the dynamic of the collective behaviour of oxygen-driven swimming bacteria in an aquatic fluid flowing in a two dimensional bounded domain under st...
2303.11120
Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models
Positional reasoning is the process of ordering unsorted parts contained in a set into a consistent structure. We present Positional Diffusion, a plug-and-play graph formulation with Diffusion Probabilistic Models to address positional reasoning. We use the forward process to map elements' positions in a set to random ...
Francesco Giuliari, Gianluca Scarpellini, Stuart James, Yiming Wang, Alessio Del Bue
2023-03-20T14:01:01Z
http://arxiv.org/abs/2303.11120v1
# Positional Diffusion: Ordering Unordered Sets ###### Abstract Positional reasoning is the process of ordering unsorted parts contained in a set into a consistent structure. We present Positional Diffusion, a plug-and-play graph formulation with Diffusion Probabilistic Models to address positional reasoning. We use ...
2308.13445
Eigenvector Dreaming
Among the performance-enhancing procedures for Hopfield-type networks that implement associative memory, Hebbian Unlearning (or dreaming) strikes for its simplicity and its clear biological interpretation. Yet, it does not easily lend itself to a clear analytical understanding. Here we show how Hebbian Unlearning can b...
Marco Benedetti, Louis Carillo, Enzo Marinari, Marc Mèzard
2023-08-09T16:18:47Z
http://arxiv.org/abs/2308.13445v1
# Eigenvector dreaming ###### Abstract Among the performance-enhancing procedures for Hopfield-type networks that implement associative memory, Hebbian Unlearning (or dreaming) strikes for its simplicity and its clear biological interpretation. Yet, it does not easily lend itself to a clear analytical understanding. ...
2306.05953
Calculation of the entropy for hard-sphere from integral equation method
The Ornstein-Zernike integral equation method has been employed for a single-component hard sphere fluid in terms of the Percus-Yevick (PY) and Martynov-Sarkisov (MS) approximations. Virial equation of state has been computed in both approximations. An excess chemical potential has been calculated with an analytical ex...
Purevkhuu Munkhbaatar, Banzragch Tsednee, Tsogbayar Tsednee, Tsookhuu Khinayat
2023-06-09T15:09:36Z
http://arxiv.org/abs/2306.05953v1
# Calculation of the entropy for hard-sphere from integral equation method ###### Abstract The Ornstein-Zernike integral equation method has been employed for a single-component hard sphere fluid in terms of the Percus-Yevick (PY) and Martynov-Sarkisov (MS) approximations. Virial equation of state has been computed i...
2301.10447
On algebraic and non-algebraic neighborhoods of rational curves
We prove that for any $d>0$ there exists an embedding of the Riemann sphere $\mathbb P^1$ in a smooth complex surface, with self-intersection $d$, such that the germ of this embedding cannot be extended to an embedding in an algebraic surface but the field of germs of meromorphic functions along $C$ has transcendence d...
Serge Lvovski
2023-01-25T07:48:21Z
http://arxiv.org/abs/2301.10447v3
# On algebraic and non-algebraic neighborhoods of rational curves ###### Abstract. We prove that for any \(d>0\) there exists an embedding of the Riemann sphere \(\mathbb{P}^{1}\) in a smooth complex surface, with self-intersection \(d\), such that the germ of this embedding cannot be extended to an embedding in an a...
2310.08549
Cross-Episodic Curriculum for Transformer Agents
We present a new algorithm, Cross-Episodic Curriculum (CEC), to boost the learning efficiency and generalization of Transformer agents. Central to CEC is the placement of cross-episodic experiences into a Transformer's context, which forms the basis of a curriculum. By sequentially structuring online learning trials an...
Lucy Xiaoyang Shi, Yunfan Jiang, Jake Grigsby, Linxi "Jim" Fan, Yuke Zhu
2023-10-12T17:45:05Z
http://arxiv.org/abs/2310.08549v1
# Cross-Episodic Curriculum for Transformer Agents ###### Abstract We present a new algorithm, Cross-Episodic Curriculum (CEC), to boost the learning efficiency and generalization of Transformer agents. Central to CEC is the placement of _cross-episodic_ experiences into a Transformer's context, which forms the basis...
2306.15598
The ${\mathbb S}_n$-equivariant Euler characteristic of the moduli space of graphs
We prove a formula for the ${\mathbb S}_n$-equivariant Euler characteristic of the moduli space of graphs $\mathcal{MG}_{g,n}$. Moreover, we prove that the rational ${\mathbb S}_n$-invariant cohomology of $\mathcal{MG}_{g,n}$ stabilizes for large $n$. That means, if $n \geq g \geq 2$, then there are isomorphisms $H^k(\...
Michael Borinsky, Jos Vermaseren
2023-06-27T16:34:42Z
http://arxiv.org/abs/2306.15598v3
# The \(\mathbb{S}_{n}\)-equivariant Euler characteristic of ###### Abstract. We prove a formula for the \(\mathbb{S}_{n}\)-equivariant Euler characteristic of the moduli space of graphs \(\mathcal{M}\mathcal{G}_{g,n}\). Moreover, we prove that the rational \(\mathbb{S}_{n}\)-invariant cohomology of \(\mathcal{M}\mat...
2301.06225
Non-phononic density of states of two-dimensional glasses revealed by random pinning
The vibrational density of states of glasses is considerably different from that of crystals. In particular, there exist spatially localized vibrational modes in glasses. The density of states of these non-phononic modes has been observed to follow $g(\omega) \propto \omega^4$, where $\omega$ is the frequency. However,...
Kumpei Shiraishi, Hideyuki Mizuno, Atsushi Ikeda
2023-01-16T00:51:40Z
http://arxiv.org/abs/2301.06225v1
# Non-phononic density of states of two-dimensional glasses revealed by random pinning ###### Abstract The vibrational density of states of glasses is considerably different from that of crystals. In particular, there exist spatially localized vibrational modes in glasses. The density of states of these non-phononic ...
2303.07742
ForDigitStress: A multi-modal stress dataset employing a digital job interview scenario
We present a multi-modal stress dataset that uses digital job interviews to induce stress. The dataset provides multi-modal data of 40 participants including audio, video (motion capturing, facial recognition, eye tracking) as well as physiological information (photoplethysmography, electrodermal activity). In addition...
Alexander Heimerl, Pooja Prajod, Silvan Mertes, Tobias Baur, Matthias Kraus, Ailin Liu, Helen Risack, Nicolas Rohleder, Elisabeth André, Linda Becker
2023-03-14T09:40:37Z
http://arxiv.org/abs/2303.07742v1
# ForDigitStress: A multi-modal stress dataset employing a digital job interview scenario ###### Abstract We present a multi-modal stress dataset that uses digital job interviews to induce stress. The dataset provides multi-modal data of 40 participants including audio, video (motion capturing, facial recognition, ey...
2307.04964
Secrets of RLHF in Large Language Models Part I: PPO
Large language models (LLMs) have formulated a blueprint for the advancement of artificial general intelligence. Its primary objective is to function as a human-centric (helpful, honest, and harmless) assistant. Alignment with humans assumes paramount significance, and reinforcement learning with human feedback (RLHF) ...
Rui Zheng, Shihan Dou, Songyang Gao, Yuan Hua, Wei Shen, Binghai Wang, Yan Liu, Senjie Jin, Qin Liu, Yuhao Zhou, Limao Xiong, Lu Chen, Zhiheng Xi, Nuo Xu, Wenbin Lai, Minghao Zhu, Cheng Chang, Zhangyue Yin, Rongxiang Weng, Wensen Cheng, Haoran Huang, Tianxiang Sun, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huan...
2023-07-11T01:55:24Z
http://arxiv.org/abs/2307.04964v2
# Secrets of RLHF in Large Language Models ###### Abstract Large language models (LLMs) have formulated a blueprint for the advancement of artificial general intelligence. Its primary objective is to function as a human-centric (helpful, honest, and harmless) assistant. Alignment with humans assumes paramount signifi...
2303.16897
Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos
Modeling sounds emitted from physical object interactions is critical for immersive perceptual experiences in real and virtual worlds. Traditional methods of impact sound synthesis use physics simulation to obtain a set of physics parameters that could represent and synthesize the sound. However, they require fine deta...
Kun Su, Kaizhi Qian, Eli Shlizerman, Antonio Torralba, Chuang Gan
2023-03-29T17:59:53Z
http://arxiv.org/abs/2303.16897v3
# Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos ###### Abstract Modeling sounds emitted from physical object interactions is critical for immersive perceptual experiences in real and virtual worlds. Traditional methods of impact sound synthesis use physics simulation to obtain a set of physic...
2308.02548
Aspect based sentimental analysis for travellers' reviews
Airport service quality evaluation is commonly found on social media, including Google Maps. This valuable for airport management in order to enhance the quality of services provided. However; prior studies either provide general review for topics discussed by travellers or provide sentimental value to tag the entire r...
Mohammed Saad M Alaydaa, Jun Li, Karl Jinkins
2023-08-01T21:23:02Z
http://arxiv.org/abs/2308.02548v1
# Aspect-based Sentimental Analysis for Travellers' Reviews ###### Abstract Airport service quality evaluation is commonly found on social media, including Google Maps. This valuable for airport management in order to enhance the quality of services provided. However; prior studies either provide general review for t...
2308.15034
Fast immersed boundary method based on weighted quadrature
Combining sum factorization, weighted quadrature, and row-based assembly enables efficient higher-order computations for tensor product splines. We aim to transfer these concepts to immersed boundary methods, which perform simulations on a regular background mesh cut by a boundary representation that defines the domain...
Benjamin Marussig, René Hiemstra, Dominik Schillinger
2023-08-29T05:37:57Z
http://arxiv.org/abs/2308.15034v1
# Fast immersed boundary method based on weighted quadrature ###### Abstract Combining sum factorization, weighted quadrature, and row-based assembly enables efficient higher-order computations for tensor product splines. We aim to transfer these concepts to immersed boundary methods, which perform simulations on a r...
2304.14014
Current Safety Legislation of Food Processing Smart Robot Systems The Red Meat Sector
Ensuring the safety of the equipment, its environment and most importantly, the operator during robot operations is of paramount importance. Robots and complex robotic systems are appearing in more and more industrial and professional service applications. However, while mechanical components and control systems are ad...
Kristof Takacs, Alex Mason, Luis Eduardo Cordova-Lopez, Marta Alexy, Peter Galambos, Tamas Haidegger
2023-04-27T08:20:13Z
http://arxiv.org/abs/2304.14014v1
# Current Safety Legislation of Food Processing Smart Robot Systems - The Red Meat Sector ###### Abstract _Ensuring the safety of the equipment, its environment and most importantly, the operator during robot operations is of paramount importance. Robots and complex robotic systems are appearing in more and more indu...
2310.16944
Zephyr: Direct Distillation of LM Alignment
We aim to produce a smaller language model that is aligned to user intent. Previous research has shown that applying distilled supervised fine-tuning (dSFT) on larger models significantly improves task accuracy; however, these models are unaligned, i.e. they do not respond well to natural prompts. To distill this prope...
Lewis Tunstall, Edward Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro von Werra, Clémentine Fourrier, Nathan Habib, Nathan Sarrazin, Omar Sanseviero, Alexander M. Rush, Thomas Wolf
2023-10-25T19:25:16Z
http://arxiv.org/abs/2310.16944v1
# Zephyr: Direct Distillation of LM Alignment ###### Abstract We aim to produce a smaller language model that is aligned to user intent. Previous research has shown that applying distilled supervised fine-tuning (dSFT) on larger models significantly improves task accuracy; however, these models are unaligned, i.e. th...
2305.03641
Phase-locking an interferometer with single-photon detections
We report on a novel phase-locking technique for fiber-based Mach-Zehnder interferometers based on discrete single-photon detections, and demonstrate this in a setup. Our interferometer decodes relative-phase-encoded optical pulse pairs for quantum key distribution applications and requires no locking laser in addition...
Bastian Hacker, Kevin Günthner, Conrad Rößler, Christoph Marquardt
2023-05-05T16:01:47Z
http://arxiv.org/abs/2305.03641v2
# Phase-locking an interferometer with single-photon detections ###### Abstract We report on a novel phase-locking technique for fiber-based Mach-Zehnder interferometers based on discrete single-photon detections, and demonstrate this in a setup. Our interferometer decodes relative-phase-encoded optical pulse pairs f...
2306.15573
Reliability and operation cost of underdamped memories during cyclic erasures
The reliability of fast repeated erasures is studied experimentally and theoretically in a 1-bit underdamped memory. The bit is encoded by the position of a micro-mechanical oscillator whose motion is confined in a double well potential. To contain the energetic cost of fast erasures, we use a resonator with high quali...
Salambô Dago, Sergio Ciliberto, Ludovic Bellon
2023-06-27T15:49:17Z
http://arxiv.org/abs/2306.15573v2
# Reliability and operation cost of underdamped memories during cyclic erasures ###### Abstract The reliability of fast repeated erasures is studied experimentally and theoretically in a 1-bit underdamped memory. The bit is encoded by the position of a micro-mechanical oscillator whose motion is confined in a double ...
2307.02326
Security Defect Detection via Code Review: A Study of the OpenStack and Qt Communities
Background: Despite the widespread use of automated security defect detection tools, software projects still contain many security defects that could result in serious damage. Such tools are largely context-insensitive and may not cover all possible scenarios in testing potential issues, which makes them susceptible to...
Jiaxin Yu, Liming Fu, Peng Liang, Amjed Tahir, Mojtaba Shahin
2023-07-05T14:30:41Z
http://arxiv.org/abs/2307.02326v1
# Security Defect Detection via Code Review: A Study of the OpenStack and Qt Communities ###### Abstract _Background_: Despite the widespread use of automated security defect detection tools, software projects still contain many security defects that could result in serious damage. Such tools are largely context-inse...
2307.05449
On the hull and complementarity of one generator quasi-cyclic codes and four-circulant codes
We study one generator quasi-cyclic codes and four-circulant codes, which are also quasi-cyclic but have two generators. We state the hull dimensions for both classes of codes in terms of the polynomials in their generating elements. We prove results such as the hull dimension of a four-circulant code is even and one-d...
Zohreh Aliabadi, Cem Güneri, Tekgül Kalaycı
2023-07-11T17:23:27Z
http://arxiv.org/abs/2307.05449v2
# On the hull and complementarity of one generator quasi-cyclic codes and four-circulant codes ###### Abstract. We study one generator quasi-cyclic codes and four-circulant codes, which are also quasi-cyclic but have two generators. We state the hull dimensions for both classes of codes in terms of the polynomials in...
2310.09864
Vavilov-Cherenkov emission with a twist: a study of the final entangled state
We present a theoretical investigation of the Vavilov-Cherenkov (VC) radiation by a plane-wave or twisted electron. Special emphasis is put on the question whether and at what conditions the emitted VC photons can be twisted. For this aim we obtain a general expression in the coordinate and momentum representations for...
A. D. Chaikovskaia, D. V. Karlovets, V. G. Serbo
2023-10-15T15:42:35Z
http://arxiv.org/abs/2310.09864v2
# Vavilov-Cherenkov emission with a twist: ###### Abstract The Vavilov-Cherenkov radiation by a plane-wave electron or a twisted electron is considered within quantum electrodynamics. A twisted electron has a definite projection of the total angular momentum (TAM) \(m=\pm 1/2\), \(\pm 3/2\),...on the direction of mot...
2305.03899
NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing
Deep learning has been applied to compressive sensing (CS) of images successfully in recent years. However, existing network-based methods are often trained as the black box, in which the lack of prior knowledge is often the bottleneck for further performance improvement. To overcome this drawback, this paper proposes ...
Shuai Bian, Shouliang Qi, Chen Li, Yudong Yao, Yueyang Teng
2023-05-06T02:34:28Z
http://arxiv.org/abs/2305.03899v1
# NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing ###### Abstract Deep learning has been applied to compressive sensing (CS) of images successfully in recent years. However, existing network-based methods are often trained as the black box, in which the lack of prior knowledge is often the...
2309.02852
CelticGraph: Drawing Graphs as Celtic Knots and Links
Celtic knots are an ancient art form often attributed to Celtic cultures, used to decorate monuments and manuscripts, and to symbolise eternity and interconnectedness. This paper describes the framework CelticGraph to draw graphs as Celtic knots and links. The drawing process raises interesting combinatorial concepts i...
Peter Eades, Niklas Gröne, Karsten Klein, Patrick Eades, Leo Schreiber, Ulf Hailer, Falk Schreiber
2023-09-06T09:25:40Z
http://arxiv.org/abs/2309.02852v2
# CelticGraph: Drawing Graphs as Celtic Knots and Links ###### Abstract Celtic knots are an ancient art form often attributed to Celtic cultures, used to decorate monuments and manuscripts, and to symbolise eternity and interconnectedness. This paper describes the framework CelticGraph to draw graphs as Celtic knots ...
2305.15023
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
Recently, growing interest has been aroused in extending the multimodal capability of large language models (LLMs), e.g., vision-language (VL) learning, which is regarded as the next milestone of artificial general intelligence. However, existing solutions are prohibitively expensive, which not only need to optimize ex...
Gen Luo, Yiyi Zhou, Tianhe Ren, Shengxin Chen, Xiaoshuai Sun, Rongrong Ji
2023-05-24T11:06:15Z
http://arxiv.org/abs/2305.15023v3
# Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models ###### Abstract Recently, growing interest has been aroused in extending the multimodal capability of large language models (LLMs), _e.g._, vision-language (VL) learning, which is regarded as the next milestone of artificial gen...
2310.18969
Analyzing Vision Transformers for Image Classification in Class Embedding Space
Despite the growing use of transformer models in computer vision, a mechanistic understanding of these networks is still needed. This work introduces a method to reverse-engineer Vision Transformers trained to solve image classification tasks. Inspired by previous research in NLP, we demonstrate how the inner represent...
Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig
2023-10-29T10:25:23Z
http://arxiv.org/abs/2310.18969v1
# Analyzing Vision Transformers for Image Classification in Class Embedding Space ###### Abstract Despite the growing use of transformer models in computer vision, a mechanistic understanding of these networks is still needed. This work introduces a method to reverse-engineer Vision Transformers trained to solve imag...
2306.00618
Effective Structured Prompting by Meta-Learning and Representative Verbalizer
Prompt tuning for pre-trained masked language models (MLM) has shown promising performance in natural language processing tasks with few labeled examples. It tunes a prompt for the downstream task, and a verbalizer is used to bridge the predicted token and label prediction. Due to the limited training data, prompt init...
Weisen Jiang, Yu Zhang, James T. Kwok
2023-06-01T12:44:33Z
http://arxiv.org/abs/2306.00618v2
# Effective Structured Prompting ###### Abstract Prompt tuning for pre-trained masked language models (MLM) has shown promising performance in natural language processing tasks with few labeled examples. It tunes a _prompt_ for the downstream task, and a _verbalizer_ is used to bridge the predicted token and label pr...
2305.01056
From Organizations to Individuals: Psychoactive Substance Use By Professional Programmers
Psychoactive substances, which influence the brain to alter perceptions and moods, have the potential to have positive and negative effects on critical software engineering tasks. They are widely used in software, but that use is not well understood. We present the results of the first qualitative investigation of the ...
Kaia Newman, Madeline Endres, Brittany Johnson, Westley Weimer
2023-05-01T19:44:00Z
http://arxiv.org/abs/2305.01056v1
# From Organizations to Individuals: Psychoactive Substance Use By Professional Programmers ###### Abstract Psychoactive substances, which influence the brain to alter perceptions and moods, have the potential to have positive and negative effects on critical software engineering tasks. They are widely used in softwa...
2303.13904
Multiorbital exciton formation in an organic semiconductor
Harnessing the optoelectronic response of organic semiconductors requires a thorough understanding of the fundamental light-matter interaction that is dominated by the excitation of correlated electron-hole pairs, i.e. excitons. The nature of these excitons would be fully captured by knowing the quantum-mechanical wave...
Wiebke Bennecke, Andreas Windischbacher, David Schmitt, Jan Philipp Bange, Ralf Hemm, Christian S. Kern, Gabriele D`Avino, Xavier Blase, Daniel Steil, Sabine Steil, Martin Aeschlimann, Benjamin Stadtmueller, Marcel Reutzel, Peter Puschnig, G. S. Matthijs Jansen, Stefan Mathias
2023-03-24T10:34:30Z
http://arxiv.org/abs/2303.13904v1
# Multiorbital exciton formation in an organic semiconductor ###### Abstract Harnessing the optoelectronic response of organic semiconductors requires a thorough understanding of the fundamental light-matter interaction that is dominated by the excitation of correlated electron-hole pairs, i.e. excitons. The nature o...
2306.08244
Clairaut slant Riemannian maps to Kähler manifolds
The aim of this article is to describe the idea of Clairaut slant Riemannian maps from Riemannian manifolds to K\"ahler manifolds. First, for the slant Riemannian map, we obtain the necessary and sufficient conditions for a curve to be a geodesic on the base manifold. Further, we find the necessary and sufficient condi...
Jyoti Yadav, Gauree Shanker, Murat Polat
2023-06-14T05:09:22Z
http://arxiv.org/abs/2306.08244v1
# Clairaut slant Riemannian maps to Kahler manifolds ###### Abstract The aim of this article is to describe the idea of Clairaut slant Riemannian maps from Riemannian manifolds to Kahler manifolds. First, for the slant Riemannian map, we obtain the necessary and sufficient conditions for a curve to be a geodesic on t...
2304.06410
MIK2 is a candidate gene of the S-locus for sporophytic self-incompatibility (SSI) in chicory (Cichorium intybus, Asteraceae)
The Cichorium genus offers a unique opportunity to study the sporophytic self incompatibility (SSI) system, being composed of species characterized by highly efficient SI (C. intybus) and complete self compatibility (C. endivia). The chicory genome was used to map 7 previously identified SSI locus-associated markers. T...
Fabio Palumbo, Samela Draga, Gabriele Magon, Giovanni Gabelli, Alessandro Vannozzi, Silvia Farinati, Francesco Scariolo, Margherita Lucchin, Gianni Barcaccia
2023-04-13T11:16:51Z
http://arxiv.org/abs/2304.06410v1
_MIK2_ is a candidate gene of the S-locus for sporophytic self-incompatibility (SSI) in chicory (_Cichorium intybus_, Asteraceae) ## Abstract The _Cichorium_ genus offers a unique opportunity to study the sporophytic self-incompatibility (SSI) system, being composed of species characterized by highly efficient SI (_C...
2307.09273
Low-ionization iron-rich Broad Absorption-Line Quasar SDSS J1652+2650: Physical conditions in the ejected gas from excited FeII and metastable HeI
We present high-resolution VLT/UVES spectroscopy and a detailed analysis of the unique Broad Absorption-Line system towards the quasar SDSS J165252.67+265001.96. This system exhibits low-ionization metal absorption lines from the ground states and excited energy levels of Fe II and Mn II, and the meta-stable 2^3S excit...
Balashev S. A., Ledoux C., Noterdaeme P., Boissé P., Krogager J. K., López S., Telikova K. N
2023-07-18T14:10:08Z
http://arxiv.org/abs/2307.09273v2
Low-ionization iron-rich Broad Absorption-Line Quasar SDSS J 1652+2650: Physical conditions in the ejected gas from excited Fe ii and metastable He i+ ###### Abstract We present high-resolution VLT/UVES spectroscopy and a detailed analysis of the unique Broad Absorption-Line system towards the quasar SDSS J 165252.67...
2308.08930
Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection
By integrating complementary information from RGB image and depth map, the ability of salient object detection (SOD) for complex and challenging scenes can be improved. In recent years, the important role of Convolutional Neural Networks (CNNs) in feature extraction and cross-modality interaction has been fully explore...
Runmin Cong, Hongyu Liu, Chen Zhang, Wei Zhang, Feng Zheng, Ran Song, Sam Kwong
2023-08-17T11:57:49Z
http://arxiv.org/abs/2308.08930v1
# Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection ###### Abstract. By integrating complementary information from RGB image and depth map, the ability of salient object detection (SOD) for complex and challenging scenes can be improved. In recent years, the important role ...
2305.07427
Ab-initio investigation of the physical properties of BaAgAs Dirac semimetal and its possible thermo-mechanical and optoelectronic applications
BaAgAs is a ternary Dirac semimetal which can be tuned across a number of topological orders. In this study we have investigated the bulk physical properties of BaAgAs using density functional theory based computations. Most of the results presented in this work are novel. The optimized structural parameters are in goo...
A. S. M. Muhasin Reza, S. H. Naqib
2023-05-12T12:50:21Z
http://arxiv.org/abs/2305.07427v1
**Ab-initio investigation of the physical properties of BaAgAs Dirac semimetal** ###### Abstract BaAgAs is a ternary Dirac semimetal which can be tuned across a number of topological orders. In this study we have investigated the bulk physical properties of BaAgAs using density functional theory based computations. M...
2306.11715
Multi-Fidelity Active Learning with GFlowNets
In the last decades, the capacity to generate large amounts of data in science and engineering applications has been growing steadily. Meanwhile, machine learning has progressed to become a suitable tool to process and utilise the available data. Nonetheless, many relevant scientific and engineering problems present ch...
Alex Hernandez-Garcia, Nikita Saxena, Moksh Jain, Cheng-Hao Liu, Yoshua Bengio
2023-06-20T17:43:42Z
http://arxiv.org/abs/2306.11715v2
# Multi-Fidelity Active Learning with GFlowNets ###### Abstract In the last decades, the capacity to generate large amounts of data in science and engineering applications has been growing steadily. Meanwhile, the progress in machine learning has turned it into a suitable tool to process and utilise the available dat...
2309.01383
LoRA-like Calibration for Multimodal Deception Detection using ATSFace Data
Recently, deception detection on human videos is an eye-catching techniques and can serve lots applications. AI model in this domain demonstrates the high accuracy, but AI tends to be a non-interpretable black box. We introduce an attention-aware neural network addressing challenges inherent in video data and deception...
Shun-Wen Hsiao, Cheng-Yuan Sun
2023-09-04T06:22:25Z
http://arxiv.org/abs/2309.01383v1
# LoRA-like Calibration for Multimodal Deception Detection using ATSFace Data ###### Abstract Recently, deception detection on human videos is an eye-catching techniques and can serve lots applications. AI model in this domain demonstrates the high accuracy, but AI tends to be a non-interpretable black box. We introd...
2302.04189
Physical Layer Security in Near-Field Communications
A near-field secure transmission framework is proposed. Employing the hybrid beamforming architecture, a multi-antenna base station (BS) transmits confidential information to a multi-antenna legitimate user (U) against a multi-antenna eavesdropper (E) in the near field. A two-stage algorithm is proposed to maximize the...
Zheng Zhang, Yuanwei Liu, Zhaolin Wang, Xidong Mu, Jian Chen
2023-02-08T16:57:30Z
http://arxiv.org/abs/2302.04189v3
# Physical Layer Security in Near-Field Communications ###### Abstract A near-field secure transmission framework is proposed. Employing the hybrid beamforming architecture, a multi-antenna base station (BS) transmits confidential information to a multi-antenna legitimate user (U) against a multi-antenna eavesdropper...
2305.00348
Modality-invariant Visual Odometry for Embodied Vision
Effectively localizing an agent in a realistic, noisy setting is crucial for many embodied vision tasks. Visual Odometry (VO) is a practical substitute for unreliable GPS and compass sensors, especially in indoor environments. While SLAM-based methods show a solid performance without large data requirements, they are l...
Marius Memmel, Roman Bachmann, Amir Zamir
2023-04-29T21:47:12Z
http://arxiv.org/abs/2305.00348v1
# Modality-invariant Visual Odometry for Embodied Vision ###### Abstract Effectively localizing an agent in a realistic, noisy setting is crucial for many embodied vision tasks. Visual Odometry (VO) is a practical substitute for unreliable GPS and compass sensors, especially in indoor environments. While SLAM-based m...
2310.04398
Analysis and Algorithmic Construction of Self-Assembled DNA Complexes
DNA self-assembly is an important tool that has a wide range of applications such as building nanostructures, the transport of target virotherapies, and nano-circuitry. Tools from graph theory can be used to encode the biological process of DNA self-assembly. The principle component of this process is to examine collec...
Cory Johnson, Andrew Lavengood-Ryan
2023-10-06T17:43:20Z
http://arxiv.org/abs/2310.04398v1
# Analysis and Algorithmic Construction of Self-Assembled DNA Complexes ###### Abstract DNA self-assembly is an important tool that has a wide range of applications such as building nanostructures, the transport of target virotherapies, and nano-circuitry. Tools from graph theory can be used to encode the biological ...
2306.01506
BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
Self-supervised techniques for learning speech representations have been shown to develop linguistic competence from exposure to speech without the need for human labels. In order to fully realize the potential of these approaches and further our understanding of how infants learn language, simulations must closely emu...
Marvin Lavechin, Yaya Sy, Hadrien Titeux, María Andrea Cruz Blandón, Okko Räsänen, Hervé Bredin, Emmanuel Dupoux, Alejandrina Cristia
2023-06-02T12:54:38Z
http://arxiv.org/abs/2306.01506v2
# BabySLM: language-acquisition-friendly benchmark ###### Abstract Self-supervised techniques for learning speech representations have been shown to develop linguistic competence from exposure to speech without the need for human labels. In order to fully realize the potential of these approaches and further our unde...
2304.10514
Deformation of d=4, N> 4 Supergravities Breaks Nonlinear Local Supersymmetry
We study d=4, $N\geq 5$ supergravities and their deformation via candidate counterterms, with the purpose to absorb UV divergences. We generalize the earlier studies of deformation and twisted self-duality constraint to the case with unbroken local H-symmetry in presence of fermions. We find that the deformed action br...
Renata Kallosh, Yusuke Yamada
2023-04-20T17:48:53Z
http://arxiv.org/abs/2304.10514v1
# Deformation of \(d=4,\ {\cal N}\geq 5\) Supergravities ###### Abstract We study \(d=4,\,{\cal N}\geq 5\) supergravities and their deformation via candidate counterterms, with the purpose to absorb UV divergences. We generalize the earlier studies of deformation and twisted self-duality constraint to the case with u...
2308.10819
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
Large Language Models (LLMs) have demonstrated exceptional proficiency in instruction-following, becoming increasingly crucial across various applications. However, this capability brings with it the risk of prompt injection attacks, where attackers inject instructions into LLMs' input to elicit undesirable actions or ...
Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan
2023-08-17T06:21:50Z
http://arxiv.org/abs/2308.10819v3
# Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection ###### Abstract Large Language Models (LLMs) have shown remarkable proficiency in following instructions, making them valuable in customer-facing applications. However, their impressive capabilities also raise concerns abou...
2302.03180
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal
The increasing complexity of AI systems has led to the growth of the field of Explainable Artificial Intelligence (XAI), which aims to provide explanations and justifications for the outputs of AI algorithms. While there is considerable demand for XAI, there remains a scarcity of studies aimed at comprehensively unders...
Maryam Hashemi, Ali Darejeh, Francisco Cruz
2023-02-07T01:06:38Z
http://arxiv.org/abs/2302.03180v2
# Who wants what and how: a Mapping Function for Explainable Artificial Intelligence ###### Abstract The increasing complexity of AI systems has led to the growth of the field of explainable AI (XAI), which aims to provide _explanations_ and _justifications_ for the outputs of AI algorithms. These methods mainly focu...
2306.11073
Quantum state preparation of gravitational waves
We detail a quantum circuit capable of efficiently encoding analytical approximations to gravitational wave signal waveforms of compact binary coalescences into the amplitudes of quantum bits using both quantum arithmetic operations and hybrid classical-quantum generative modelling. The gate cost of the proposed method...
Fergus Hayes, Sarah Croke, Chris Messenger, Fiona Speirits
2023-06-19T17:17:59Z
http://arxiv.org/abs/2306.11073v1
# Quantum state preparation of gravitational waves ###### Abstract We detail a quantum circuit capable of efficiently encoding analytical approximations to gravitational wave signal waveforms of compact binary coalescences into the amplitudes of quantum bits using both quantum arithmetic operations and hybrid classic...
2304.09045
The Bohr compactification of an arithmetic group
Given a group $\Gamma,$ its Bohr compactification $\operatorname{Bohr}(\Gamma)$ and its profinite completion $\operatorname{Prof}(\Gamma)$ are compact groups naturally associated to $\Gamma$; moreover, $\operatorname{Prof}(\Gamma)$ can be identified with the quotient of $\operatorname{Bohr}(\Gamma)$ by its connected co...
Bachir Bekka
2023-04-18T15:07:51Z
http://arxiv.org/abs/2304.09045v1
# The Bohr compactification of an arithmetic group ###### Abstract. Given a group \(\Gamma\), its Bohr compactification \(\operatorname{Bohr}(\Gamma)\) and its profinite completion \(\operatorname{Prof}(\Gamma)\) are compact groups naturally associated to \(\Gamma\); moreover, \(\operatorname{Prof}(\Gamma)\) can be i...
2306.07611
Outerplane bipartite graphs with isomorphic resonance graphs
We present novel results related to isomorphic resonance graphs of 2-connected outerplane bipartite graphs. As the main result, we provide a structure characterization for 2-connected outerplane bipartite graphs with isomorphic resonance graphs. Moreover, two additional characterizations are expressed in terms of reson...
Simon Brezovnik, Zhongyuan Che, Niko Tratnik, Petra Žigert Pleteršek
2023-06-13T08:09:26Z
http://arxiv.org/abs/2306.07611v1
# Outerplane bipartite graphs with isomorphic resonance graphs ###### Abstract We present novel results related to isomorphic resonance graphs of 2-connected outerplane bipartite graphs. As the main result, we provide a structure characterization for 2-connected outerplane bipartite graphs with isomorphic resonance g...
2306.08522
Challenges of Indoor SLAM: A multi-modal multi-floor dataset for SLAM evaluation
Robustness in Simultaneous Localization and Mapping (SLAM) remains one of the key challenges for the real-world deployment of autonomous systems. SLAM research has seen significant progress in the last two and a half decades, yet many state-of-the-art (SOTA) algorithms still struggle to perform reliably in real-world e...
Pushyami Kaveti, Aniket Gupta, Dennis Giaya, Madeline Karp, Colin Keil, Jagatpreet Nir, Zhiyong Zhang, Hanumant Singh
2023-06-14T14:12:57Z
http://arxiv.org/abs/2306.08522v1
# Challenges of Indoor SLAM: A multi-modal multi-floor dataset for SLAM evaluation ###### Abstract Robustness in Simultaneous Localization and Mapping (SLAM) remains one of the key challenges for the real-world deployment of autonomous systems. SLAM research has seen significant progress in the last two and a half de...
2308.01914
Fritz-John optimality condition in fuzzy optimization problems and its application to classification of fuzzy data
The main objective of this paper is to derive the optimality conditions for one type of fuzzy optimization problems. At the beginning, we define a cone of descent direction for fuzzy optimization, and prove that its intersection with the cone of feasible directions at an optimal point is an empty set. Then, we present ...
Fangfang Shi, Guoju Ye, Wei Liu, Debdas Ghosh
2023-07-05T09:34:10Z
http://arxiv.org/abs/2308.01914v1
Fritz-John optimality condition in fuzzy optimization problems and its application to classification of fuzzy data ###### Abstract The main objective of this paper is to derive the optimality conditions for one type of fuzzy optimization problems. At the beginning, we define a cone of descent direction for fuzzy opti...
2307.00257
Efficient Subclass Segmentation in Medical Images
As research interests in medical image analysis become increasingly fine-grained, the cost for extensive annotation also rises. One feasible way to reduce the cost is to annotate with coarse-grained superclass labels while using limited fine-grained annotations as a complement. In this way, fine-grained data learning i...
Linrui Dai, Wenhui Lei, Xiaofan Zhang
2023-07-01T07:39:08Z
http://arxiv.org/abs/2307.00257v1
# Efficient Subclass Segmentation in Medical Images ###### Abstract As research interests in medical image analysis become increasingly fine-grained, the cost for extensive annotation also rises. One feasible way to reduce the cost is to annotate with coarse-grained super-class labels while using limited fine-grained...
2305.02239
The Benefits of Label-Description Training for Zero-Shot Text Classification
Pretrained language models have improved zero-shot text classification by allowing the transfer of semantic knowledge from the training data in order to classify among specific label sets in downstream tasks. We propose a simple way to further improve zero-shot accuracies with minimal effort. We curate small finetuning...
Lingyu Gao, Debanjan Ghosh, Kevin Gimpel
2023-05-03T16:19:31Z
http://arxiv.org/abs/2305.02239v2
# The Benefits of Label-Description Training ###### Abstract Large language models have improved zero-shot text classification by allowing the transfer of semantic knowledge from the training data in order to classify among specific label sets in downstream tasks. We propose a simple way to further improve zero-shot ...
2308.15961
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting
The task of radiology reporting comprises describing and interpreting the medical findings in radiographic images, including description of their location and appearance. Automated approaches to radiology reporting require the image to be encoded into a suitable token representation for input to the language model. Pre...
Francesco Dalla Serra, Chaoyang Wang, Fani Deligianni, Jeffrey Dalton, Alison Q. O'Neil
2023-08-30T11:35:21Z
http://arxiv.org/abs/2308.15961v1
# Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting ###### Abstract The task of radiology reporting comprises describing and interpreting the medical findings in radiographic images, including description of their location and appearance. Automated approaches to radiology reporting require the image...
2301.08585
Probe of a Randall-Sundrum-like model from muon pair production at high energy muon collider
We have examined inclusive $\mu^+\mu^- \rightarrow \mu^+ \mu^- + E_{\mathrm{miss}}$ and annihilation $\mu^+\mu^- \rightarrow \mu^+ \mu^-$ processes at future high energy muon colliders in the framework of the Randall-Sundrum-like model with a small curvature of space-time. The collision energies of 3 TeV, 14 TeV and, 1...
S. C. İnan, A. V. Kisselev
2023-01-20T14:01:53Z
http://arxiv.org/abs/2301.08585v3
# Probe of a Randall-Sundrum-like model from muon pair production at high energy muon collider ###### Abstract We have examined \(\mu^{+}\mu^{-}\to 2(\mu^{+}\mu^{-})\) and \(\mu^{+}\mu^{-}\to\mu^{+}\mu^{-}\) collisions at future high energy muon colliders in the framework of the Randall-Sundrum-like model with a smal...
2306.03477
Effect of a magnetic field on the thermodynamic properties of a high-temperature hadron resonance gas with van der Waals interactions
We study the behavior of a hadronic matter in the presence of an external magnetic field within the van der Waals hadron resonance gas model, considering both attractive and repulsive interactions among the hadrons. Various thermodynamic quantities like pressure ($P$), energy density ($\varepsilon$), magnetization ($\m...
Bhagyarathi Sahoo, Kshitish Kumar Pradhan, Dushmanta Sahu, Raghunath Sahoo
2023-06-06T07:51:04Z
http://arxiv.org/abs/2306.03477v2
Effect of magnetic field on the optical and thermodynamic properties of a high-temperature hadron resonance gas with van der Waals interactions ###### Abstract We study the behavior of a hadronic matter in the presence of an external magnetic field within the van der Waals hadron resonance gas (VDWHRG) model, conside...
2310.00840
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
Text generation models are notoriously vulnerable to errors in the training data. With the wide-spread availability of massive amounts of web-crawled data becoming more commonplace, how can we enhance the robustness of models trained on a massive amount of noisy web-crawled text? In our work, we propose Error Norm Trun...
Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray
2023-10-02T01:30:27Z
http://arxiv.org/abs/2310.00840v2
# Error Norm Truncation: ###### Abstract Text generation models are notoriously vulnerable to errors in the training data. With the wide-spread availability of massive amounts of web-crawled data becoming more commonplace, how can we enhance the robustness of models trained on a massive amount of noisy web-crawled te...
2305.04890
Steam Recommendation System
We aim to leverage the interactions between users and items in the Steam community to build a game recommendation system that makes personalized suggestions to players in order to boost Steam's revenue as well as improve the users' gaming experience. The whole project is built on Apache Spark and deals with Big Data. T...
Samin Batra, Varun Sharma, Yurou Sun, Xinyao Wang, Yinyu Wang
2023-05-03T16:06:49Z
http://arxiv.org/abs/2305.04890v1
# Steam Recommendation System ###### Abstract This project aims to leverage the interactions between users and items on the Steam community to build a game recommendation system that makes personalized suggestions to players in order to boost Steam's revenue as well as improve users' gaming experience. The whole proj...
2305.15745
Robust Ante-hoc Graph Explainer using Bilevel Optimization
Explaining the decisions made by machine learning models for high-stakes applications is critical for increasing transparency and guiding improvements to these decisions. This is particularly true in the case of models for graphs, where decisions often depend on complex patterns combining rich structural and attribute ...
Kha-Dinh Luong, Mert Kosan, Arlei Lopes Da Silva, Ambuj Singh
2023-05-25T05:50:38Z
http://arxiv.org/abs/2305.15745v2
# Robust Ante-hoc Graph Explainer ###### Abstract Explaining the decisions made by machine learning models for high-stakes applications is critical for increasing transparency and guiding improvements to these decisions. This is particularly true in the case of models for graphs, where decisions often depend on compl...
2301.09843
Ab initio Prediction of Mechanical, Electronic, Magnetic and Transport Properties of Bulk and Heterostructure of a Novel Fe-Cr based Full Heusler Chalcogenide
Using electronic structure calculations based on density functional theory, we predict and study the structural, mechanical, electronic, magnetic and transport properties of a new full Heusler chalcogenide, namely, Fe$_2$CrTe, both in bulk and heterostructure form. The system shows a ferromagnetic and half-metallic(HM)...
Joydipto Bhattacharya, Rajeev Dutt, Aparna Chakrabarti
2023-01-24T07:02:30Z
http://arxiv.org/abs/2301.09843v1
(Ab-initio\) Prediction of Mechanical, Electronic, Magnetic and Transport Properties of Bulk and Heterostructure of a Novel Fe-Cr based Full Heusler Chalcogenide ###### Abstract Using electronic structure calculations based on density functional theory, we predict and study the structural, mechanical, electronic, mag...
2304.12303
Inoculation strategies for bounded degree graphs
We analyze a game-theoretic abstraction of epidemic containment played on an undirected graph $G$: each player is associated with a node in $G$ and can either acquire protection from a contagious process or risk infection. After decisions are made, an infection starts at a random node $v$ and propagates through all unp...
Mason DiCicco, Henry Poskanzer, Daniel Reichman
2023-04-24T17:54:17Z
http://arxiv.org/abs/2304.12303v1
# Inoculation strategies for bounded degree graphs ###### Abstract We analyze a game-theoretic abstraction of epidemic containment played on an undirected graph \(G\): each player is associated with a node in \(G\) and can either acquire protection from a contagious process or risk infection. After decisions are made...
2306.04318
$J/Ψ$ suppression in a rotating magnetized holographic QGP matter
We study the dissociation effect of $J/\Psi$ in magnetized, rotating QGP matter at finite temperature and chemical potential using gauge/gravity duality. By incorporating angular velocity into the holographic magnetic catalysis model, we analyze the influence of temperature, chemical potential, magnetic field, and angu...
Yan-Qing Zhao, Defu Hou
2023-06-07T10:32:51Z
http://arxiv.org/abs/2306.04318v1
# \(J/\Psi\) suppression in a rotating magnetized holographic QGP matter ###### Abstract We study the dissociation effect of \(J/\Psi\) in magnetized, rotating QGP matter at finite temperature and chemical potential using gauge/gravity duality. By incorporating angular velocity into the holographic magnetic catalysis...
2305.05556
Quantum Approximate Optimization Algorithm with Cat Qubits
The Quantum Approximate Optimization Algorithm (QAOA) -- one of the leading algorithms for applications on intermediate-scale quantum processors -- is designed to provide approximate solutions to combinatorial optimization problems with shallow quantum circuits. Here, we study QAOA implementations with cat qubits, usin...
Pontus Vikstål, Laura García-Álvarez, Shruti Puri, Giulia Ferrini
2023-05-09T15:44:52Z
http://arxiv.org/abs/2305.05556v2
# Quantum Approximate Optimization Algorithm with Cat Qubits ###### Abstract The Quantum Approximate Optimization Algorithm (QAOA)--one of the leading algorithms for applications on intermediate-scale quantum processors--is designed to provide approximate solutions to combinatorial optimization problems with shallow ...
2305.13334
Absence of cross-sublattice spin pumping and spin-transfer torques in collinear antiferromagnets
We resolve the debate over the existence and magnitude of cross-sublattice (CS) contributions to spin pumping and spin-transfer torques in a two-sublattice antiferromagnet connected to a non-magnetic metal. Guided by symmetry considerations, we first relate the controversial CS terms to specific components in the spin ...
Junyu Tang, Ran Cheng
2023-05-20T02:51:39Z
http://arxiv.org/abs/2305.13334v2
# Absence of cross-sublattice spin pumping and spin-transfer torques in collinear antiferromagnets ###### Abstract There have been debates over the existence of cross-sublattice (CS) contributions to spin pumping and spin-transfer torques in an antiferromagnet (AFM) connected to a non-magnetic metal. By studying the ...
2302.00489
Noncommutative Fibrations via Positive Maps and Bimodules
We construct a Leray-Serre spectral sequence for fibrations for de Rham cohomology on noncommutative algebras. The fibrations are bimodules with zero-curvature extendable bimodule connections satisfying an additional condition. By the KSGNS construction, completely positive maps between C*-algebras correspond to Hilber...
Edwin J. Beggs, James E. Blake
2023-02-01T14:53:56Z
http://arxiv.org/abs/2302.00489v1
# Noncommutative Fibrations via Positive Maps and Bimodules ###### Abstract We construct a Leray-Serre spectral sequence for fibrations for de Rham cohomology on noncommutative algebras. The fibrations are bimodules with zero-curvature extendable bimodule connections satisfying an additional condition. By the KSGNS c...
2304.04561
Digitization of the Australian Parliamentary Debates, 1998-2022
Public knowledge of what is said in parliament is a tenet of democracy, and a critical resource for political science research. In Australia, following the British tradition, the written record of what is said in parliament is known as Hansard. While the Australian Hansard has always been publicly available, it has bee...
Lindsay Katz, Rohan Alexander
2023-04-07T17:14:14Z
http://arxiv.org/abs/2304.04561v2
# Digitization of the Australian Parliamentary Debates, 1998-2022 ###### Abstract Public knowledge of what is said in parliament is a tenet of democracy, and a critical resource for political science research. In Australia, following the British tradition, the written record of what is said in parliament is known as ...
2307.12653
Unidirectional spin wave emission by travelling pair of magnetic field profiles
We demonstrate that the spin wave Cherenkov effect can be used to design the unidirectional spin wave emitter with tunable frequency and switchable direction of emission. In our numerical studies, we propose to use a pair of traveling profiles of the magnetic field which generate the spin waves, for sufficiently large ...
Gauthier Philippe, Mathieu Moalic, Jarosław W. Kłos
2023-07-24T09:51:17Z
http://arxiv.org/abs/2307.12653v4
# Unidirectional spin wave emission by travelling pair of magnetic field profiles ###### Abstract We demonstrate that the spin wave Cherenkov effect can be used to design the unidirectional spin wave emitter with tunable frequency and switchable direction of emission. In our numerical studies, we propose to use a pai...
2307.03986
The Riemannian Bianchi identities of metric connections with skew torsion and generalized Ricci solitons
Curvature properties of a metric connection with totally skew-symmetric torsion are investigated. It is shown that if either the 3-form $T$ is harmonic, $dT=\delta T=0$ or the curvature of the torsion connection $R\in S^2\Lambda^2$ then the scalar curvature of a $\nabla$-Einstein manifold is determined by the norm of t...
Stefan Ivanov, Nikola Stanchev
2023-07-08T14:25:00Z
http://arxiv.org/abs/2307.03986v5
###### Abstract ###### Abstract Curvature properties of a metric connection with totally skew-symmetric torsion are investigated. It is shown that if either the 3-form \(T\) is harmonic, \(dT=\delta T=0\) or the curvature of the torsion connection \(R\in S^{2}\Lambda^{2}\) then the scalar curvature of a \(\nabla\)-Ei...
2304.14772
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
Simulation-free methods for training continuous-time generative models construct probability paths that go between noise distributions and individual data samples. Recent works, such as Flow Matching, derived paths that are optimal for each data sample. However, these algorithms rely on independent data and noise sampl...
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
2023-04-28T11:33:08Z
http://arxiv.org/abs/2304.14772v2
# Multisample Flow Matching: Straightening Flows with Minibatch Couplings ###### Abstract Simulation-free methods for training continuous-time generative models construct probability paths that go between noise distributions and individual data samples. Recent works, such as Flow Matching, derived paths that are opti...
2306.02769
On simple expectations and observations of intelligent agents: A complexity study
Public observation logic (POL) reasons about agent expectations and agent observations in various real world situations. The expectations of agents take shape based on certain protocols about the world around and they remove those possible scenarios where their expectations and observations do not match. This in turn i...
Sourav Chakraborty, Avijeet Ghosh, Sujata Ghosh, François Schwarzentruber
2023-06-05T10:53:27Z
http://arxiv.org/abs/2306.02769v1
# On simple expectations and observations of intelligent agents: A complexity study ###### Abstract Public observation logic (POL) reasons about agent expectations and agent observations in various real world situations. The expectations of agents take shape based on certain protocols about the world around and they ...
2305.03127
2D triangular Ising model with bond phonons: An entropic simulation study
In this work, we study and evaluate the impact of a periodic spin-lattice coupling in an Ising-like system on a 2D triangular lattice. Our proposed simple Hamiltonian considers this additional interaction as an effect of preferential phonon propagation direction augmented by the symmetry ofthe underline lattice. The si...
R. M. L. Nascimento, Claudio J. DaSilva, L. S. Ferreira, A. A. Caparica
2023-05-04T19:56:33Z
http://arxiv.org/abs/2305.03127v2
# The Ising model with a periodic spin-lattice coupling on the triangular lattice ###### Abstract In this work, we study and evaluate the impact of a periodic spin-lattice coupling in an Ising-like system on a 2D triangular lattice. Our proposed simple Hamiltonian considers this additional interaction as an effect of...
2307.02440
Membrane Thickness Sensitivity of Avian Prestin: Implications
Avian prestin is sensitive to membrane thickness as much as mammalian prestin, which undergoes conformational transitions in membrane area and thereby drives length changes of the cylindrical cell body of outer hair cells. The membrane thickness dependence of mammalian prestin stems from changes in hydrophobic profile ...
Kuni H Iwasa
2023-07-05T17:10:43Z
http://arxiv.org/abs/2307.02440v1
# Membrane Thickness Sensitivity ###### Abstract Avian prestin is sensitive to membrane thickness as much as mammalian prestin, which undergoes conformational transitions in membrane area and thereby drives length changes of the cylindrical cell body of outer hair cells. The membrane thickness dependence of mammalian...
2302.11590
Q-balls in the sky
There may exist extended configurations in the dark matter sector that are analogues of structures in the visible sector. In this work, we explore non-topological solitonic configurations, specifically Q-balls, and study when they may form macroscopic astrophysical structures and what their distinct characteristics mig...
Arhum Ansari, Lalit Singh Bhandari, Arun M. Thalapillil
2023-02-22T19:00:07Z
http://arxiv.org/abs/2302.11590v3
# Q-balls in the sky ###### Abstract There may exist extended configurations in the dark matter sector that are analogues of structures in the visible sector. In this work, we explore non-topological solitonic configurations, specifically Q-balls, and study when they may form macroscopic astrophysical structures and ...
2307.14236
UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text
This demo paper presents UnScientify, an interactive system designed to detect scientific uncertainty in scholarly full text. The system utilizes a weakly supervised technique that employs a fine-grained annotation scheme to identify verbally formulated uncertainty at the sentence level in scientific texts. The pipelin...
Panggih Kusuma Ningrum, Philipp Mayr, Iana Atanassova
2023-07-26T15:04:24Z
http://arxiv.org/abs/2307.14236v1
# UnScientificy: Detecting Scientific Uncertainty in Scholarly Full Text ###### Abstract. This demo paper presents UnScientific 1, an interactive system designed to detect scientific uncertainty in scholarly full text. The system utilizes a weakly supervised technique that employs a fine-grained annotation scheme to ...
2310.11781
Blind estimation of audio effects using an auto-encoder approach and differentiable digital signal processing
Blind Estimation of Audio Effects (BE-AFX) aims at estimating the Audio Effects (AFXs) applied to an original, unprocessed audio sample solely based on the processed audio sample. To train such a system traditional approaches optimize a loss between ground truth and estimated AFX parameters. This involves knowing the e...
Côme Peladeau, Geoffroy Peeters
2023-10-18T08:20:54Z
http://arxiv.org/abs/2310.11781v2
Blind estimation of audio effects using an auto-encoder approach and differentiable signal processing ###### Abstract Blind Estimation of Audio Effects (BE-AFX) aims at estimating the Audio Effects (AFXs) applied to an original, unprocessed audio sample solely based on the processed audio sample. To train such a syst...
2305.04884
Predicting the Price Movement of Cryptocurrencies Using Linear Law-based Transformation
The aim of this paper is to investigate the effect of a novel method called linear law-based feature space transformation (LLT) on the accuracy of intraday price movement prediction of cryptocurrencies. To do this, the 1-minute interval price data of Bitcoin, Ethereum, Binance Coin, and Ripple between 1 January 2019 an...
Marcell T. Kurbucz, Péter Pósfay, Antal Jakovác
2023-04-27T15:04:08Z
http://arxiv.org/abs/2305.04884v1
# Predicting the Price Movement of Cryptocurrencies Using Linear Law-based Transformation ###### Abstract The aim of this paper is to investigate the effect of a novel method called linear law-based feature space transformation (LLT) on the accuracy of intraday price movement prediction of cryptocurrencies. To do thi...
2307.04025
Global Lipschitz stability for an inverse coefficient problem for a mean field game system
For an inverse coefficient problem of determining a state-varying factor in the corresponding Hamiltonian for a mean field game system, we prove the global Lipschitz stability by spatial data of one component and interior data in an arbitrarily chosen subdomain over a time interval. The proof is based on Carleman estim...
Oleg Imanuvilov, Masahiro Yamamoto
2023-07-08T18:12:27Z
http://arxiv.org/abs/2307.04025v1
# Global Lipschitz stability for an inverse coefficient problem for a mean field game system ###### Abstract For an inverse coefficient problem of determining a state-varying factor in the corresponding Hamiltonian for a mean field game system, we prove the global Lipschitz stability by spatial data of one component ...
2302.10856
Overview of the TREC 2021 Fair Ranking Track
The TREC Fair Ranking Track aims to provide a platform for participants to develop and evaluate novel retrieval algorithms that can provide a fair exposure to a mixture of demographics or attributes, such as ethnicity, that are represented by relevant documents in response to a search query. For example, particular dem...
Michael D. Ekstrand, Graham McDonald, Amifa Raj, Isaac Johnson
2023-02-21T18:13:06Z
http://arxiv.org/abs/2302.10856v1
# Overview of the TREC 2021 Fair Ranking Track ###### Abstract The TREC Fair Ranking Track aims to provide a platform for participants to develop and evaluate novel retrieval algorithms that can provide a fair exposure to a mixture of demographics or attributes, such as ethnicity, that are represented by relevant doc...
2301.09857
Large amplitude problem of BGK model: Relaxation to quadratic nonlinearity
Bhatnagar-Gross-Krook (BGK) equation is a relaxation model of the Boltzmann equation which is widely used in place of the Boltzmann equation for the simulation of various kinetic flow problems. In this work, we study the asymptotic stability of the BGK model when the initial data is not necessarily close to the global ...
Gi-Chan Bae, Gyounghun Ko, Donghyun Lee, Seok-Bae Yun
2023-01-24T08:18:38Z
http://arxiv.org/abs/2301.09857v2
# Large amplitude problem of BGK model: relaxation to quadratic nonlinearity ###### Abstract. Bhatnagar-Gross-Krook (BGK) equation is a relaxation model of the Boltzmann equation which is widely used in place of the Boltzmann equation for the simulation of various kinetic flow problems. In this work, we study the asy...
2307.13559
The homotopy category of monomorphisms between projective modules
Let $(S, \n)$ be a commutative noetherian local ring and $\omega\in\n$ be non-zerodivisor. This paper deals with the behavior of the category $\mon(\omega, \cp)$ consisting of all monomorphisms between finitely generated projective $S$-modules with cokernels annihilated by $\omega$. We introduce a homotopy category $\H...
Abdolnaser Bahlekeh, Fahimeh Sadat Fotouhi, Armin Nateghi, Shokrollah Salarian
2023-07-25T15:05:50Z
http://arxiv.org/abs/2307.13559v1
# The homotopy category of monomorphisms between projective modules ###### Abstract. Let \((S,\mathfrak{n})\) be a commutative noetherian local ring and \(\omega\in\mathfrak{n}\) be non-zerodivisor. This paper deals with the behavior of the category \(\mathsf{Mon}(\omega,\mathcal{P})\) consisting of all monomorphisms...
2304.12317
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis
We explore the task of embodied view synthesis from monocular videos of deformable scenes. Given a minute-long RGBD video of people interacting with their pets, we render the scene from novel camera trajectories derived from the in-scene motion of actors: (1) egocentric cameras that simulate the point of view of a targ...
Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan
2023-04-24T17:59:52Z
http://arxiv.org/abs/2304.12317v2
# Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis ###### Abstract We explore the task of embodied view synthesis from monocular videos of deformable scenes. Given a minute-long RGBD video of people interacting with their pets, we render the scene from novel camera trajectories derived from in...