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2308.00150
Effects of mirror birefringence and its fluctuations to laser interferometric gravitational wave detectors
Crystalline materials are promising candidates as substrates or high-reflective coatings of mirrors to reduce thermal noises in future laser interferometric gravitational wave detectors. However, birefringence of such materials could degrade the sensitivity of gravitational wave detectors, not only because it can intro...
Yuta Michimura, Haoyu Wang, Francisco Salces-Carcoba, Christopher Wipf, Aidan Brooks, Koji Arai, Rana X Adhikari
2023-07-31T20:57:21Z
http://arxiv.org/abs/2308.00150v2
# On the effects of mirror birefringence and its fluctuations to ###### Abstract Crystalline materials are promising candidates as substrates or high-reflective coatings of mirrors to reduce thermal noises in future laser interferometric gravitational wave detectors. However, birefringence of such materials could deg...
2309.17063
GateSeeder: Near-memory CPU-FPGA Acceleration of Short and Long Read Mapping
Motivation: Read mapping is a computationally expensive process and a major bottleneck in genomics analyses. The performance of read mapping is mainly limited by the performance of three key computational steps: Index Querying, Seed Chaining, and Sequence Alignment. The first step is dominated by how fast and frequent ...
Julien Eudine, Mohammed Alser, Gagandeep Singh, Can Alkan, Onur Mutlu
2023-09-29T08:49:44Z
http://arxiv.org/abs/2309.17063v1
# GateSeeder: Near-memory CPU-FPGA Acceleration ###### Abstract **Motivation:** Read mapping is a computationally expensive process and a major bottleneck in genomics analyses. The performance of read mapping is mainly limited by the performance of three key computational steps: Index Querying, Seed Chaining, and Seq...
2307.16809
An enhanced system for the detection and active cancellation of snoring signals
Snoring is a common disorder that affects people's social and marital lives. The annoyance caused by snoring can be partially solved with active noise control systems. In this context, the present work aims at introducing an enhanced system based on the use of a convolutional recurrent neural network for snoring activi...
Valeria Bruschi, Michela Cantarini, Luca Serafini, Stefano Nobili, Stefania Cecchi, Stefano Squartini
2023-07-31T16:28:16Z
http://arxiv.org/abs/2307.16809v1
# An Enhanced System for the Detection and Active Cancellation of Snoring Signals ###### Abstract Snoring is a common disorder that affects people's social and marital lives. The annoyance caused by snoring can be partially solved with active noise control systems. In this context, the present work aims at introducin...
2309.11412
Creases and cusps in growing soft matter
The buckling of a soft elastic sample under growth or swelling has highlighted a new interest in materials science, morphogenesis, and biology or physiology. Indeed, the change of mass or volume is a common fact of any living species, and on a scale larger than the cell size, a macroscopic view can help to explain many...
Martine Ben Amar
2023-09-20T15:36:52Z
http://arxiv.org/abs/2309.11412v1
# Creases and cusps in growing soft matter ###### Abstract The buckling of a soft elastic sample under growth or swelling has highlighted a new interest in materials science, morphogenesis, and biology or physiology. Indeed, the change of mass or volume is a common fact of any living species, and on a scale larger th...
2309.15674
Speech collage: code-switched audio generation by collaging monolingual corpora
Designing effective automatic speech recognition (ASR) systems for Code-Switching (CS) often depends on the availability of the transcribed CS resources. To address data scarcity, this paper introduces Speech Collage, a method that synthesizes CS data from monolingual corpora by splicing audio segments. We further impr...
Amir Hussein, Dorsa Zeinali, Ondřej Klejch, Matthew Wiesner, Brian Yan, Shammur Chowdhury, Ahmed Ali, Shinji Watanabe, Sanjeev Khudanpur
2023-09-27T14:17:53Z
http://arxiv.org/abs/2309.15674v1
# Speech Collage: Code-Switched Audio Generation by Collaging Monolingual Corpora ###### Abstract Designing effective automatic speech recognition (ASR) systems for Code-Switching (CS) often depends on the availability of the transcribed CS resources. To address data scarcity, this paper introduces _Speech Collage_, ...
2309.13205
A Practical Survey on Zero-shot Prompt Design for In-context Learning
The remarkable advancements in large language models (LLMs) have brought about significant improvements in Natural Language Processing(NLP) tasks. This paper presents a comprehensive review of in-context learning techniques, focusing on different types of prompts, including discrete, continuous, few-shot, and zero-shot...
Yinheng Li
2023-09-22T23:00:34Z
http://arxiv.org/abs/2309.13205v1
# A Practical Survey on Zero-shot Prompt Design for In-context Learning ###### Abstract The remarkable advancements in large language models (LLMs) have brought about significant improvements in Natural Language Processing(NLP) tasks. This paper presents a comprehensive review of in-context learning techniques, focus...
2309.10724
Sound Source Localization is All about Cross-Modal Alignment
Humans can easily perceive the direction of sound sources in a visual scene, termed sound source localization. Recent studies on learning-based sound source localization have mainly explored the problem from a localization perspective. However, prior arts and existing benchmarks do not account for a more important aspe...
Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung
2023-09-19T16:04:50Z
http://arxiv.org/abs/2309.10724v1
# Sound Source Localization is All about Cross-Modal Alignment ###### Abstract Humans can easily perceive the direction of sound sources in a visual scene, termed sound source localization. Recent studies on learning-based sound source localization have mainly explored the problem from a localization perspective. How...
2309.09275
Breakdown in vehicular traffic: driver over-acceleration, not over-reaction
Contrary to a wide-accepted assumption about the decisive role of driver over-reaction for breakdown in vehicular traffic, we have shown that the cause of the breakdown is driver over-acceleration, not driver over-reaction. To reach this goal, we have introduced a mathematical approach for the description of driver ove...
Boris S. Kerner
2023-09-17T13:45:07Z
http://arxiv.org/abs/2309.09275v1
# Breakdown in vehicular traffic: driver over-acceleration, not over-reaction ###### Abstract Contrary to a wide-accepted assumption about the decisive role of driver over-reaction for breakdown in vehicular traffic, we have shown that the cause of the breakdown is driver over-acceleration, not over-reaction. To reac...
2309.06146
On Wolfgang Lusky's paper "The Gurarij spaces are unique''
This note surveys Wolfgang Lusky's proof of uniqueness of the Gurariy spaces and mentions further developments.
Dirk Werner
2023-09-12T11:34:55Z
http://arxiv.org/abs/2309.06146v1
# On Wolfgang Lusky's paper ###### Abstract. This note surveys Wolfgang Lusky's proof of uniqueness of the Gurariy spaces and mentions further developments. Key words and phrases:Gurariy space; Banach spaces of almost universal disposition 2020 Mathematics Subject Classification: Primary 46B04; Secondary 46B10, 46B2...
2310.00454
SimLVSeg: Simplifying Left Ventricular Segmentation in 2D+Time Echocardiograms with Self- and Weakly-Supervised Learning
Echocardiography has become an indispensable clinical imaging modality for general heart health assessment. From calculating biomarkers such as ejection fraction to the probability of a patient's heart failure, accurate segmentation of the heart structures allows doctors to assess the heart's condition and devise treat...
Fadillah Maani, Asim Ukaye, Nada Saadi, Numan Saeed, Mohammad Yaqub
2023-09-30T18:13:41Z
http://arxiv.org/abs/2310.00454v3
UniLVSeg: Unified Left Ventricular Segmentation with Sparsely Annotated Echocardiogram Videos through Self-Supervised Temporal Masking and Weakly Supervised Training ###### Abstract Echocardiography has become an indispensable clinical imaging modality for general heart health assessment. From calculating biomarkers ...
2309.04751
Optical microcavities as platforms for entangled photon spectroscopy
Optical microcavities are often proposed as platforms for spectroscopy in the single- and few-photon regime due to strong light-matter coupling. For classical-light spectroscopies, an empty microcavity simply acts as an optical filter. However, we find that in the single- or few-photon regime treating the empty microca...
Ravyn Malatesta, Lorenzo Uboldi, Evan J. Kumar, Esteban Rojas-Gatjens, Luca Moretti, Andy Cruz, Vinod Menon, Giulio Cerullo, Ajay Ram Srimath Kandada
2023-09-09T10:45:23Z
http://arxiv.org/abs/2309.04751v1
# Optical microcavities as platforms for entangled photon spectroscopy ###### Abstract Optical microcavities are often proposed as platforms for spectroscopy in the single- and few-photon regime due to strong light-matter coupling. For classical-light spectroscopies, an empty microcavity simply acts as an optical fil...
2309.03758
Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning
Motion planning is the soul of robot decision making. Classical planning algorithms like graph search and reaction-based algorithms face challenges in cases of dense and dynamic obstacles. Deep learning algorithms generate suboptimal one-step predictions that cause many collisions. Reinforcement learning algorithms gen...
Chengmin Zhou, Xin Lu, Jiapeng Dai, Bingding Huang, Xiaoxu Liu, Pasi Fränti
2023-09-07T15:00:49Z
http://arxiv.org/abs/2309.03758v1
# Hybrid of representation learning and reinforcement learning for dynamic and complex ###### Abstract Motion planning is the soul of robot decision making. Classical planning algorithms like graph search and reaction-based algorithms face challenges in cases of dense and dynamic obstacles. Deep learning algorithms g...
2310.00332
MFL Data Preprocessing and CNN-based Oil Pipeline Defects Detection
Recently, the application of computer vision for anomaly detection has been under attention in several industrial fields. An important example is oil pipeline defect detection. Failure of one oil pipeline can interrupt the operation of the entire transportation system or cause a far-reaching failure. The automated defe...
Iurii Katser, Vyacheslav Kozitsin, Igor Mozolin
2023-09-30T10:37:12Z
http://arxiv.org/abs/2310.00332v1
# MFL Data Preprocessing and CNN-based Oil Pipeline Defects Detection ###### Abstract Recently, the application of computer vision for anomaly detection has been under attention in several industrial fields. An important example is oil pipeline defect detection. Failure of one oil pipeline can interrupt the operation...
2308.00178
Transparent conductive oxides and low loss nitride-rich silicon waveguides as building blocks for neuromorphic photonics
Fully CMOS-compatible photonic memory holding devices hold a potential in a development of ultrafast artificial neural networks. Leveraging the benefits of photonics such as high-bandwidth, low latencies, low-energy interconnect and high speed they can overcome the existing limits of the electronic processing. To satis...
Jacek Gosciniak, Jacob B. Khurgin
2023-07-31T22:20:11Z
http://arxiv.org/abs/2308.00178v1
Transparent conductive oxides and low loss nitride-rich silicon waveguides as building blocks for neuromorphic photonics ###### Abstract Fully CMOS-compatible photonic memory holding devices hold a potential in a development of ultrafast artificial neural networks. Leveraging the benefits of photonics such as high-ba...
2309.10042
Covariant operator bases for continuous variables
Coherent-state representations are a standard tool to deal with continuous-variable systems, as they allow one to efficiently visualize quantum states in phase space. Here, we work out an alternative basis consisting of monomials on the basic observables, with the crucial property of behaving well under symplectic tran...
A. Z. Goldberg, A. B. Klimov, G. Leuchs, L. L. Sanchez-Soto
2023-09-18T18:00:15Z
http://arxiv.org/abs/2309.10042v2
# Covariant operator bases for continuous variables ###### Abstract Coherent-state representations are a standard tool to deal with continuous-variable systems, as they allow one to efficiently visualize quantum states in phase space. Here, we work out an alternative basis consisting of monomials on the basic observa...
2301.13369
Free boundary problem with a nonlocal kernel
In this paper, we propose a new nonlocal model for two-phase Stefan problem, where the nonlocal version of the one-phase Stefan problem arises naturally as a special case. Among other things, we obtain the optimal condition for the pointwise convergence between local and nonlocal one-phase Stefan problem and an equival...
Xinfu Chen, Fang Li, Maolin Zhou
2023-01-31T02:29:55Z
http://arxiv.org/abs/2301.13369v1
# Free boundary problem with a nonlocal kernel + ###### Abstract In this paper, we propose a new nonlocal model for two-phase Stefan problem, where the nonlocal version of the one-phase Stefan problem arises naturally as a special case. Among other things, we obtain the optimal condition for the pointwise convergence...
2309.14230
Competitive Networked Bivirus SIS spread over Hypergraphs
The paper deals with the spread of two competing viruses over a network of population nodes, accounting for pairwise interactions and higher-order interactions (HOI) within and between the population nodes. We study the competitive networked bivirus susceptible-infected-susceptible (SIS) model on a hypergraph introduce...
Sebin Gracy, Brian D. O. Anderson, Mengbin Ye, Cesar A. Uribe
2023-09-25T15:41:58Z
http://arxiv.org/abs/2309.14230v1
# Competitive Networked Bivirus SIS spread over Hypergraphs ###### Abstract The paper deals with the spread of two competing viruses over a network of population nodes, accounting for pairwise interactions and higher-order interactions (HOI) within and between the population nodes. We study the competitive networked ...
2309.15648
SANGEA: Scalable and Attributed Network Generation
The topic of synthetic graph generators (SGGs) has recently received much attention due to the wave of the latest breakthroughs in generative modelling. However, many state-of-the-art SGGs do not scale well with the graph size. Indeed, in the generation process, all the possible edges for a fixed number of nodes must o...
Valentin Lemaire, Youssef Achenchabe, Lucas Ody, Houssem Eddine Souid, Gianmarco Aversano, Nicolas Posocco, Sabri Skhiri
2023-09-27T13:35:45Z
http://arxiv.org/abs/2309.15648v1
# SANGEA: Scalable and Attributed Network Generation ###### Abstract The topic of synthetic graph generators (SGGs) has recently received much attention due to the wave of the latest breakthroughs in generative modelling. However, many state-of-the-art SGGs do not scale well with the graph size. Indeed, in the genera...
2301.00301
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy
The ''Propose-Test-Release'' (PTR) framework is a classic recipe for designing differentially private (DP) algorithms that are data-adaptive, i.e. those that add less noise when the input dataset is nice. We extend PTR to a more general setting by privately testing data-dependent privacy losses rather than local sensit...
Rachel Redberg, Yuqing Zhu, Yu-Xiang Wang
2022-12-31T22:22:53Z
http://arxiv.org/abs/2301.00301v1
# Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy ###### Abstract The "Propose-Test-Release" (PTR) framework (Dwork and Lei, 2009) is a classic recipe for designing differentially private (DP) algorithms that are data-adaptive, i.e. those that add less noise when the inpu...
2309.15890
An Introduction to Complex Networks in Climate Finance
In this perspective, we introduce recent research into the structure and function of complex investor networks supporting sustainability efforts. Using the case of solar, wind and hydro energy technologies, this perspective explores the complexity in low-carbon finance markets, defined as markets that direct capital fl...
Alexander P. Kartun-Giles, Nadia Ameli
2023-09-27T16:47:25Z
http://arxiv.org/abs/2309.15890v1
# An Introduction to Complex Networks in Climate Finance ###### Abstract In this perspective, we introduce recent research into the structure and function of complex investor networks supporting sustainability efforts. Using the case of solar, wind and hydro energy technologies, this perspective explores the complexi...
2302.14624
The 2022 NIST Language Recognition Evaluation
In 2022, the U.S. National Institute of Standards and Technology (NIST) conducted the latest Language Recognition Evaluation (LRE) in an ongoing series administered by NIST since 1996 to foster research in language recognition and to measure state-of-the-art technology. Similar to previous LREs, LRE22 focused on conver...
Yooyoung Lee, Craig Greenberg, Eliot Godard, Asad A. Butt, Elliot Singer, Trang Nguyen, Lisa Mason, Douglas Reynolds
2023-02-28T15:05:33Z
http://arxiv.org/abs/2302.14624v1
# The 2022 NIST Language Recognition Evaluation ###### Abstract In 2022, the U.S. National Institute of Standards and Technology (NIST) conducted the latest Language Recognition Evaluation (LRE) in an ongoing series administered by NIST since 1996 to foster research in language recognition and to measure state-of-the...
2309.09261
Leveraging Large Language Models for Sequential Recommendation
Sequential recommendation problems have received increasing attention in research during the past few years, leading to the inception of a large variety of algorithmic approaches. In this work, we explore how large language models (LLMs), which are nowadays introducing disruptive effects in many AI-based applications, ...
Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, Marios Fragkoulis
2023-09-17T12:53:53Z
http://arxiv.org/abs/2309.09261v1
# Leveraging Large Language Models for Sequential Recommendation ###### Abstract. Sequential recommendation problems have received increasing attention in research during the past few years, leading to the inception of a large variety of algorithmic approaches. In this work, we explore how large language models (LLMs...
2309.06152
Distinguishing the importance of different charge trapping centers in CaF2-based 2D material MOSFETs
Crystalline CaF2 is drawing huge attentions due to its great potential of being the gate dielectric of two-dimensional (2D) material MOSFETs. It is deemed to be much superior than boron nitride and traditional SiO2 because of its larger dielectric constant, wider band gap, and lower defect density. Nevertheless, the Ca...
Zhe Zhao, Tao Xiong, Jian Gong, Yue-Yang Liu
2023-09-12T11:52:04Z
http://arxiv.org/abs/2309.06152v1
Distinguishing the importance of different charge trapping centers in CaF\({}_{2}\)-based 2D material MOSFETs ###### Abstract Crystalline CaF\({}_{2}\) is drawing huge attentions due to its great potential of being the gate dielectric of two-dimensional (2D) material MOSFETs. It is deemed to be much superior than bor...
2307.00110
Whole-Body Human Ultrasound Tomography
We developed a system for whole-body human ultrasound tomography in reflection and transmission modes. A custom 512-element ultrasound receiver array with a rotating single-element ultrasound transmitter are used to generate 2D isotropically resolved images across the entire human cross-section. We demonstrate this tec...
David C. Garrett, Jinhua Xu, Geng Ku, Lihong V. Wang
2023-06-30T19:52:33Z
http://arxiv.org/abs/2307.00110v1
# Whole-Body Human Ultrasound Tomography ###### Abstract We developed a system for whole-body human ultrasound tomography in reflection and transmission modes. A custom 512-element ultrasound receiver array with a rotating single-element ultrasound transmitter are used to generate 2D isotropically resolved images acr...
2307.16772
Weighted topological pressure revisited
Feng--Huang (2016) introduced weighted topological entropy and pressure for factor maps between dynamical systems and established its variational principle. Tsukamoto (2022) redefined those invariants quite differently for the simplest case and showed via the variational principle that the two definitions coincide. We ...
Nima Alibabaei
2023-07-31T15:38:39Z
http://arxiv.org/abs/2307.16772v1
# Weighted topological pressure revisited ###### Abstract. Feng-Huang (2016) introduced weighted topological entropy and pressure for factor maps between dynamical systems and established its variational principle. Tsukamoto (2022) redefined those invariants quite differently for the simplest case and showed via the ...
2303.17825
Refinements of Katz-Sarnak theory for the number of points on curves over finite fields
This paper goes beyond Katz-Sarnak theory on the distribution of curves over finite fields according to their number of rational points, theoretically, experimentally and conjecturally. In particular, we give a formula for the limits of the moments measuring the asymmetry of this distribution for (non-hyperelliptic) cu...
Jonas Bergström, Everett W. Howe, Elisa Lorenzo García, Christophe Ritzenthaler
2023-03-31T06:47:41Z
http://arxiv.org/abs/2303.17825v2
# Refinements of Katz-Sarnak theory for the number of points on curves over finite fields ###### Abstract. This paper goes beyond Katz-Sarnak theory on the distribution of curves over finite fields according to their number of rational points, theoretically, experimentally and conjecturally. In particular, we give a ...
2310.20169
Plateau borders in soap films and Gauss' capillarity theory
We provide, in the setting of Gauss' capillarity theory, a rigorous derivation of the equilibrium law for the three dimensional structures known as Plateau borders which arise in "wet" soap films and foams. A key step in our analysis is a complete measure-theoretic overhaul of the homotopic spanning condition introduce...
Francesco Maggi, Michael Novack, Daniel Restrepo
2023-10-31T04:37:55Z
http://arxiv.org/abs/2310.20169v1
# Plateau borders in soap films ###### Abstract. We provide, in the setting of Gauss' capillarity theory, a rigorous derivation of the equilibrium law for the three dimensional structures known as _Plateau borders_ which arise in "wet" soap films and foams. A key step in our analysis is a complete measure-theoretic o...
2308.16849
The construction of a $E_7$-like quantum subgroup of $SU(3)$
In this short note we construct an embedding of the planar algebra for $\overline{\operatorname{Rep}(U_q(sl_3))}$ at $q = e^{2\pi i \frac{1}{24}}$ into the graph planar algebra of di Francesco and Zuber's candidate graph $\mathcal{E}_4^{12}$. Via the graph planar algebra embedding theorem we thus construct a rank 11 mo...
Cain Edie-Michell, Lance Marinelli
2023-08-31T16:30:20Z
http://arxiv.org/abs/2308.16849v2
# The construction of a \(E_{7}\)-like quantum subgroup of \(Su(3)\) ###### Abstract. In this short note we construct an embedding of the planar algebra for \(\overline{\operatorname{Rep}(U_{q}(\mathfrak{sl}_{3}))}\) at \(q=e^{2\pi i\frac{2}{4}}\) into the graph planar algebra of di Francesco and Zuber's candidate gr...
2309.06973
DNNShifter: An Efficient DNN Pruning System for Edge Computing
Deep neural networks (DNNs) underpin many machine learning applications. Production quality DNN models achieve high inference accuracy by training millions of DNN parameters which has a significant resource footprint. This presents a challenge for resources operating at the extreme edge of the network, such as mobile a...
Bailey J. Eccles, Philip Rodgers, Peter Kilpatrick, Ivor Spence, Blesson Varghese
2023-09-13T14:05:50Z
http://arxiv.org/abs/2309.06973v1
# DNNShifter: An Efficient DNN Pruning System for Edge Computing ###### Abstract Deep neural networks (DNNs) underpin many machine learning applications. Production quality DNN models achieve high inference accuracy by training millions of DNN parameters which has a significant resource footprint. This presents a cha...
2309.08792
An entropy-based approach for a robust least squares spline approximation
We consider the weighted least squares spline approximation of a noisy dataset. By interpreting the weights as a probability distribution, we maximize the associated entropy subject to the constraint that the mean squared error is prescribed to a desired (small) value. Acting on this error yields a robust regression me...
Luigi Brugnano, Domenico Giordano, Felice Iavernaro, Giorgia Rubino
2023-09-15T22:20:48Z
http://arxiv.org/abs/2309.08792v1
# An entropy-based approach for a robust least squares spline approximation ###### Abstract We consider the weighted least squares spline approximation of a noisy dataset. By interpreting the weights as a probability distribution, we maximize the associated entropy subject to the constraint that the mean squared erro...
2309.06967
On motives of parabolic Higgs bundles and parabolic connections
Let $X$ be a compact Riemann surface of genus $g \geq 2$ and let $D\subset X$ be a fixed finite subset. We considered the moduli spaces of parabolic Higgs bundles and of parabolic connections over $X$ with the parabolic structure over $D$. For generic weights, we showed that these two moduli spaces have equal Grothendi...
Sumit Roy
2023-09-13T14:03:08Z
http://arxiv.org/abs/2309.06967v2
# On motives of parabolic Higgs bundles and parabolic connections ###### Abstract. Let \(X\) be a compact Riemann surface of genus \(g\geq 2\) and let \(D\subset X\) be a fixed finite subset. We considered the moduli spaces of parabolic Higgs bundles and of parabolic connections over \(X\) with the parabolic structur...
2309.12912
Symmetric Exponential Time Requires Near-Maximum Circuit Size
We show that there is a language in $\mathsf{S}_2\mathsf{E}/_1$ (symmetric exponential time with one bit of advice) with circuit complexity at least $2^n/n$. In particular, the above also implies the same near-maximum circuit lower bounds for the classes $\Sigma_2\mathsf{E}$, $(\Sigma_2\mathsf{E}\cap\Pi_2\mathsf{E})/_1...
Lijie Chen, Shuichi Hirahara, Hanlin Ren
2023-09-22T14:56:59Z
http://arxiv.org/abs/2309.12912v1
# Symmetric Exponential Time Requires Near-Maximum Circuit Size ###### Abstract We show that there is a language in \(\mathsf{S}_{2}\mathsf{E}/_{1}\) (symmetric exponential time with one bit of advice) with circuit complexity at least \(2^{n}/n\). In particular, the above also implies the same near-maximum circuit lo...
2309.04816
Non-LTE Monte Carlo Radiative Transfer. III. The thermal properties of Tilted and Warped Be Star Discs
We use the three-dimensional Monte Carlo radiative transfer code HDUST to model Be stars where the disc is tilted from the equatorial plane of the star. We compute 128 models across 4 spectral types, B0, B2, B5 and B8, tilting the disc by $0^o$, $10^o$, $20^o$, and $40^o$, while varying disc density according to spectr...
M. W. Suffak, C. E. Jones, A. C. Carciofi, T. H. de Amorim
2023-09-09T14:55:19Z
http://arxiv.org/abs/2309.04816v1
Non-LTE Monte Carlo Radiative Transfer. III. The thermal properties of Tilted and Warped Be Star Discs ###### Abstract We use the three-dimensional Monte Carlo radiative transfer code _hdust_ to model Be stars where the disc is tilted from the equatorial plane of the star. We compute 128 models across 4 spectral type...
2306.17751
Confirming Resonance in Three Transiting Systems
Although resonant planets have orbital periods near commensurability, resonance is also dictated by other factors, such as the planets' eccentricities and masses, and therefore must be confirmed through a study of the system's dynamics. Here, we perform such a study for five multi-planet systems: Kepler-226, Kepler-254...
Tyler Quinn, Mariah MacDonald
2023-06-30T16:01:37Z
http://arxiv.org/abs/2306.17751v1
# Confirming Resonance in Three Transiting Systems ###### Abstract Although resonant planets have orbital periods near commensurability, resonance is also dictated by other factors, such as the planets' eccentricities and masses, and therefore must be confirmed through a study of the system's dynamics. Here, we perfo...
2310.20633
Defining a New NLP Playground
The recent explosion of performance of large language models (LLMs) has changed the field of Natural Language Processing (NLP) more abruptly and seismically than any other shift in the field's 80-year history. This has resulted in concerns that the field will become homogenized and resource-intensive. The new status qu...
Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi R. Fung, Charles Yu, Joel R. Tetreault, Eduard H. Hovy, Heng Ji
2023-10-31T17:02:33Z
http://arxiv.org/abs/2310.20633v1
# Defining a New NLP Playground ###### Abstract The recent explosion of performance of large language models (LLMs) has changed the field of Natural Language Processing (NLP) more abruptly and seismically than any other shift in the field's 80-year history. This has resulted in concerns that the field will become hom...
2309.08962
Dynamic Separation Logic
This paper introduces a dynamic logic extension of separation logic. The assertion language of separation logic is extended with modalities for the five types of the basic instructions of separation logic: simple assignment, look-up, mutation, allocation, and de-allocation. The main novelty of the resulting dynamic log...
Frank S. de Boer, Hans-Dieter A. Hiep, Stijn de Gouw
2023-09-16T11:31:05Z
http://arxiv.org/abs/2309.08962v2
# Dynamic Separation Logic ###### Abstract This paper introduces a dynamic logic extension of separation logic. The assertion language of separation logic is extended with modalities for the five types of the basic instructions of separation logic: simple assignment, look-up, mutation, allocation, and de-allocation. ...
2309.16584
Collaborative Distributed Machine Learning
Various collaborative distributed machine learning (CDML) systems, including federated learning systems and swarm learning systems, with different key traits were developed to leverage resources for development and use of machine learning (ML) models in a confidentiality-preserving way. To meet use case requirements, s...
David Jin, Niclas Kannengießer, Sascha Rank, Ali Sunyaev
2023-09-28T16:44:18Z
http://arxiv.org/abs/2309.16584v3
# A Design Toolbox for the Development of Collaborative Distributed Machine Learning Systems ###### Abstract To leverage data for the sufficient training of machine learning (ML) models from multiple parties in a confidentiality-preserving way, various collaborative distributed ML (CDML) system designs have been deve...
2309.14393
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
The carbon footprint associated with large language models (LLMs) is a significant concern, encompassing emissions from their training, inference, experimentation, and storage processes, including operational and embodied carbon emissions. An essential aspect is accurately estimating the carbon impact of emerging LLMs ...
Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Prateek Sharma, Fan Chen, Lei Jiang
2023-09-25T14:50:04Z
http://arxiv.org/abs/2309.14393v2
# LLMcarbon: Modeling the End-To-End Carbon Footprint of Large Language Models ###### Abstract The carbon footprint associated with large language models (LLMs) is a significant concern, encompassing emissions from their training, inference, experimentation, and storage processes, including operational and embodied c...
2309.03837
Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications
Multi-task learning (MTL) is a powerful approach in deep learning that leverages the information from multiple tasks during training to improve model performance. In medical imaging, MTL has shown great potential to solve various tasks. However, existing MTL architectures in medical imaging are limited in sharing infor...
Sangwook Kim, Thomas G. Purdie, Chris McIntosh
2023-09-07T16:50:40Z
http://arxiv.org/abs/2309.03837v1
# Cross-Task Attention Network: Improving Multi-Task Learning for Medical Imaging Applications ###### Abstract Multi-task learning (MTL) is a powerful approach in deep learning that leverages the information from multiple tasks during training to improve model performance. In medical imaging, MTL has shown great pote...
2310.00285
Optimal Local Measurements in Many-body Quantum Metrology
Quantum measurements are key to quantum metrology. Constrained by experimental capabilities, collective measurements on a large number of copies of metrological probes can pose significant challenges. Therefore, the locality in quantum measurements must be considered. In this work, we propose a method dubbed as the "it...
Jia-Xuan Liu, Jing Yang, Hai-Long Shi, Sixia Yu
2023-09-30T07:34:31Z
http://arxiv.org/abs/2310.00285v1
# Optimal Local Measurements in Many-body Quantum Metrology ###### Abstract Quantum measurements are key to quantum metrology. Constrained by experimental capabilities, collective measurements on a large number of copies of metrological probes can pose significant challenges. Therefore, the locality in quantum measur...
2310.20155
MLatom 3: Platform for machine learning-enhanced computational chemistry simulations and workflows
Machine learning (ML) is increasingly becoming a common tool in computational chemistry. At the same time, the rapid development of ML methods requires a flexible software framework for designing custom workflows. MLatom 3 is a program package designed to leverage the power of ML to enhance typical computational chemis...
Pavlo O. Dral, Fuchun Ge, Yi-Fan Hou, Peikun Zheng, Yuxinxin Chen, Mario Barbatti, Olexandr Isayev, Cheng Wang, Bao-Xin Xue, Max Pinheiro Jr, Yuming Su, Yiheng Dai, Yangtao Chen, Lina Zhang, Shuang Zhang, Arif Ullah, Quanhao Zhang, Yanchi Ou
2023-10-31T03:41:39Z
http://arxiv.org/abs/2310.20155v1
# MLatom 3: Platform for machine learning-enhanced computational chemistry simulations and workflows ###### Abstract We present a new MLatom 3 for machine learning-enhanced computational chemistry simulation of a molecular ###### Abstract Machine learning (ML) is increasingly becoming a common tool in computational ...
2309.14387
Exploring Robot Morphology Spaces through Breadth-First Search and Random Query
Evolutionary robotics offers a powerful framework for designing and evolving robot morphologies, particularly in the context of modular robots. However, the role of query mechanisms during the genotype-to-phenotype mapping process has been largely overlooked. This research addresses this gap by conducting a comparative...
Jie Luo
2023-09-25T06:46:19Z
http://arxiv.org/abs/2309.14387v1
# Exploring Robot Morphology Spaces through Breadth-First Search and Random Query ###### Abstract Evolutionary robotics offers a powerful framework for designing and evolving robot morphologies, particularly in the context of modular robots. However, the role of query mechanisms during the genotype-to-phenotype mappi...
2310.00291
Coexistence of insulating phases in confined fermionic chains with a Wannier-Stark potential
We study fermions on a finite chain, interacting repulsively when residing on the same and on nearest-neighbor sites, and subjected to a Wannier-Stark linearly-varying potential. Using the density matrix renormalization-group numerical technique to solve this generalized extended Hubbard model, the ground state exhibit...
N. Aucar Boidi, K. Hallberg, A. Aharony, O. Entin-Wohlman
2023-09-30T07:48:44Z
http://arxiv.org/abs/2310.00291v2
# Coexistence of insulating phases in confined ###### Abstract We study fermions on a finite chain, interacting repulsively when residing on the same and on nearest-neighbor sites, and subjected to a Wannier-Stark linearly-varying potential. Using the density matrix renormalization-group numerical technique to solve ...
2310.20141
Contrastive Difference Predictive Coding
Predicting and reasoning about the future lie at the heart of many time-series questions. For example, goal-conditioned reinforcement learning can be viewed as learning representations to predict which states are likely to be visited in the future. While prior methods have used contrastive predictive coding to model ti...
Chongyi Zheng, Ruslan Salakhutdinov, Benjamin Eysenbach
2023-10-31T03:16:32Z
http://arxiv.org/abs/2310.20141v2
# Contrastive Difference Predictive Coding ###### Abstract Predicting and reasoning about the future lie at the heart of many time-series questions. For example, goal-conditioned reinforcement learning can be viewed as learning representations to predict which states are likely to be visited in the future. While prio...
2302.00080
Rainbow Hamilton cycle in hypergraph system
In this paper, we develop a new rainbow Hamilton framework, which is of independent interest, settling the problem proposed by Gupta, Hamann, M\"{u}yesser, Parczyk, and Sgueglia when $k=3$, and draw the general conclusion for any $k\geq3$ as follows. A $k$-graph system $\textbf{H}=\{H_i\}_{i\in[n]}$ is a family of not ...
Yucong Tang, Bin Wang, Guanghui Wang, Guiying Yan
2023-01-31T20:23:00Z
http://arxiv.org/abs/2302.00080v1
# Rainbow Hamilton cycle in hypergraph system ###### Abstract. In this paper, we develop a new rainbow Hamilton framework, which is of independent interest, settling the problem proposed by Gupta, Hamann, Muyesser, Parczyk, and Sgueglia when \(k=3\), and draw the general conclusion for any \(k\geq 3\) as follows. A \...
2309.16590
Vertex-primitive digraphs with large fixity
The relative fixity of a digraph $\Gamma$ is defined as the ratio between the largest number of vertices fixed by a nontrivial automorphism of $\Gamma$ and the number of vertices of $\Gamma$. We characterize the vertex-primitive digraphs whose relative fixity is at least $1/3$, and we show that there are only finitely ...
Marco Barbieri, Primož Potočnik
2023-09-28T16:50:44Z
http://arxiv.org/abs/2309.16590v1
# Vertex-primitive digraphs with large fixity ###### Abstract. The relative fixity of a digraph \(\Gamma\) is defined as the ratio between the largest number of vertices fixed by a nontrivial automorphism of \(\Gamma\) and the number of vertices of \(\Gamma\). We characterize the vertex-primitive digraphs whose relat...
2305.19576
Periodic Vlasov-Stokes' system: Existence and Uniqueness of strong solutions
This paper deals with the Vlasov-Stokes' system in three dimensions with periodic boundary conditions in the spatial variable. We prove the existence of a unique strong solution to this two-phase model under the assumption that initial velocity moments of certain order are bounded. We use a fixed point argument to arri...
Harsha Hutridurga, Krishan Kumar, Amiya K. Pani
2023-05-31T05:53:35Z
http://arxiv.org/abs/2305.19576v1
# Periodic Vlasov-Stokes' system: existence ###### Abstract. This paper deals with the Vlasov-Stokes' system in three dimensions with periodic boundary conditions in the spatial variable. We prove the existence of a unique strong solution to this two-phase model under the assumption that initial velocity moments of c...
2307.00138
Substrate suppression of oxidation process in pnictogen monolayers
2D materials present an interesting platform for device designs. However, oxidation can drastically change the system's properties, which need to be accounted for. Through {\it ab initio} calculations, we investigated freestanding and SiC-supported As, Sb, and Bi mono-elemental layers. The oxidation process occurs thro...
R. L. H. Freire, F. Crasto de Lima, A. Fazzio
2023-06-30T21:07:37Z
http://arxiv.org/abs/2307.00138v1
# Substrate suppression of oxidation process in pnictogen monolayers ###### Abstract 2D materials present an interesting platform for device designs. However, oxidation can drastically change the system's properties, which need to be accounted for. Through _ab initio_ calculations, we investigated freestanding and Si...
2302.14793
TREXIO: A File Format and Library for Quantum Chemistry
TREXIO is an open-source file format and library developed for the storage and manipulation of data produced by quantum chemistry calculations. It is designed with the goal of providing a reliable and efficient method of storing and exchanging wave function parameters and matrix elements, making it an important tool fo...
Evgeny Posenitskiy, Vijay Gopal Chilkuri, Abdallah Ammar, Michał Hapka, Katarzyna Pernal, Ravindra Shinde, Edgar Josué Landinez Borda, Claudia Filippi, Kosuke Nakano, Otto Kohulák, Sandro Sorella, Pablo de Oliveira Castro, William Jalby, Pablo López Rıós, Ali Alavi, Anthony Scemama
2023-02-28T17:44:54Z
http://arxiv.org/abs/2302.14793v2
# TREXIO: A File Format and Library for Quantum Chemistry ###### Abstract TREXIO is an open-source file format and library developed for the storage and manipulation of data produced by quantum chemistry calculations. It is designed with the goal of providing a reliable and efficient method of storing and exchanging ...
2309.12090
Multi-Task Cooperative Learning via Searching for Flat Minima
Multi-task learning (MTL) has shown great potential in medical image analysis, improving the generalizability of the learned features and the performance in individual tasks. However, most of the work on MTL focuses on either architecture design or gradient manipulation, while in both scenarios, features are learned in...
Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas Nichols, Bartlomiej W. Papiez
2023-09-21T14:00:11Z
http://arxiv.org/abs/2309.12090v1
# Multi-Task Cooperative Learning via Searching for Flat Minima ###### Abstract Multi-task learning (MTL) has shown great potential in medical image analysis, improving the generalizability of the learned features and the performance in individual tasks. However, most of the work on MTL focuses on either architecture...
2309.04619
High-entropy effect at rare-earth site in DyNi
We report the structural and magnetic properties of RNi (R=Dy, Tb$_{1/3}$Dy$_{1/3}$Ho$_{1/3}$, and Gd$_{1/5}$Tb$_{1/5}$Dy$_{1/5}$Ho$_{1/5}$Er$_{1/5}$) to investigate the high-entropy effect at the rare-earth site. The lattice parameters are almost unchanged by the increase of configurational entropy, which is due to th...
Yuito Nakamura, Koshin Takeshita, Terukazu Nishizaki, Jiro Kitagawa
2023-09-08T22:13:50Z
http://arxiv.org/abs/2309.04619v1
# High-entropy effect at rare-earth site in DyNi ###### Abstract We report the structural and magnetic properties of RNi (R=Dy, Tb\({}_{1/3}\)Dy\({}_{1/3}\)Ho\({}_{0/3}\), and Gd\({}_{1/5}\)Tb\({}_{1/5}\)Dy\({}_{1/5}\)Ho\({}_{1/5}\)Er\({}_{1/5}\)) to investigate the high-entropy effect at the rare-earth site. The lat...
2309.05507
A Co-design Study for Multi-Stakeholder Job Recommender System Explanations
Recent legislation proposals have significantly increased the demand for eXplainable Artificial Intelligence (XAI) in many businesses, especially in so-called `high-risk' domains, such as recruitment. Within recruitment, AI has become commonplace, mainly in the form of job recommender systems (JRSs), which try to match...
Roan Schellingerhout, Francesco Barile, Nava Tintarev
2023-09-11T14:51:20Z
http://arxiv.org/abs/2309.05507v1
# A Co-design Study for Multi-Stakeholder Job Recommender System Explanations ###### Abstract Recent legislation proposals have significantly increased the demand for eXplainable Artificial Intelligence (XAI) in many businesses, especially in so-called 'high-risk' domains, such as recruitment. Within recruitment, AI ...
2309.11572
Architecture Knowledge Representation and Communication Industry Survey
Background: The literature offers various methods for capturing software architectural knowledge (AK), including views, viewpoints, and architecture decision records (ADRs). In parallel, sustainability has gained prominence in software engineering, especially concerning software architecture. Nevertheless, practical in...
Haben Birhane Gebreweld
2023-09-20T18:17:16Z
http://arxiv.org/abs/2309.11572v1
# Architecture Knowledge Representation and Communication Industry Survey ###### Abstract. _Background:_ The literature presents several approaches, such as views, viewpoint, and architecture decision records (ADRs), to describe software architectural knowledge (AK). On the other hand, sustainability is a subject tha...
2309.07310
CRIL: A Concurrent Reversible Intermediate Language
We present a reversible intermediate language with concurrency for translating a high-level concurrent programming language to another lower-level concurrent programming language, keeping reversibility. Intermediate languages are commonly used in compiling a source program to an object code program closer to the machin...
Shunya Oguchi, Shoji Yuen
2023-09-13T20:52:54Z
http://arxiv.org/abs/2309.07310v1
# CRIL: A Concurrent Reversible Intermediate Language ###### Abstract We present a reversible intermediate language with concurrency for translating a high-level concurrent programming language to another lower-level concurrent programming language, keeping reversibility. Intermediate languages are commonly used in c...
2301.13547
Machine learning of evolving physics-based material models for multiscale solid mechanics
In this work we present a hybrid physics-based and data-driven learning approach to construct surrogate models for concurrent multiscale simulations of complex material behavior. We start from robust but inflexible physics-based constitutive models and increase their expressivity by allowing a subset of their material ...
I. B. C. M. Rocha, P. Kerfriden, F. P. van der Meer
2023-01-31T10:50:07Z
http://arxiv.org/abs/2301.13547v1
# Machine learning of evolving physics-based material models for multiscale solid mechanics ###### Abstract In this work we present a hybrid physics-based and data-driven learning approach to construct surrogate models for concurrent multiscale simulations of complex material behavior. We start from robust but inflex...
2308.00030
Electroweak mass difference of mesons
We consider electroweak (EW) gauge boson corrections to the masses of pseudoscalar mesons to next to leading order (NLO) in $\alpha_s$ and $1/N_C$. The pion mass shift induced by the $Z$-boson is shown to be $m_{\pi^\pm}-m_{\pi^0} = -0.00201(12)$ MeV. While being small compared to the electromagnetic mass shift, the pr...
Antonio Pich, Arthur Platschorre, Mario Reig
2023-07-31T18:00:01Z
http://arxiv.org/abs/2308.00030v1
# Electroweak mass difference of mesons ###### Abstract We consider electroweak (EW) gauge boson corrections to the masses of pseudoscalar mesons to next to leading order (NLO) in \(\alpha_{s}\) and \(1/N_{C}\). The pion mass shift induced by the \(Z\)-boson is shown to be \(m_{\pi^{\pm}}-m_{\pi^{0}}=-0.00201(12)\) M...
2309.05261
Gall Bladder Cancer Detection from US Images with Only Image Level Labels
Automated detection of Gallbladder Cancer (GBC) from Ultrasound (US) images is an important problem, which has drawn increased interest from researchers. However, most of these works use difficult-to-acquire information such as bounding box annotations or additional US videos. In this paper, we focus on GBC detection u...
Soumen Basu, Ashish Papanai, Mayank Gupta, Pankaj Gupta, Chetan Arora
2023-09-11T06:37:12Z
http://arxiv.org/abs/2309.05261v1
# Gall Bladder Cancer Detection from US Images with Only Image Level Labels ###### Abstract Automated detection of Gallbladder Cancer (GBC) from Ultrasound (US) images is an important problem, which has drawn increased interest from researchers. However, most of these works use difficult-to-acquire information such a...
2309.13403
Game of Travesty: Decoy-based Psychological Cyber Deception for Proactive Human Agents
The concept of cyber deception has been receiving emerging attention. The development of cyber defensive deception techniques requires interdisciplinary work, among which cognitive science plays an important role. In this work, we adopt a signaling game framework between a defender and a human agent to develop a cyber ...
Yinan Hu, Quanyan Zhu
2023-09-23T15:27:26Z
http://arxiv.org/abs/2309.13403v1
# Game of travesty: decoy-based psychological cyber deception for proactive human agents ###### Abstract The concept of cyber deception has been receiving emerging attention. The development of cyber defensive deception techniques requires interdisciplinary work, among which cognitive science plays an important role....
2309.03604
Estimating the Coverage Measure and the Area Explored by a Line-Sweep Sensor on the Plane
This paper presents a method for determining the area explored by a line-sweep sensor during an area-covering mission in a two-dimensional plane. Accurate knowledge of the explored area is crucial for various applications in robotics, such as mapping, surveillance, and coverage optimization. The proposed method leverag...
Maria Costa Vianna, Eric Goubault, Luc Jaulin, Sylvie Putot
2023-09-07T09:57:26Z
http://arxiv.org/abs/2309.03604v1
# Estimating the Coverage Measure and the Area Explored by a Line-Sweep Sensor on the Plane ###### Abstract This paper presents a method for determining the area explored by a line-sweep sensor during an area-covering mission in a two-dimensional plane. Accurate knowledge of the explored area is crucial for various a...
2309.13417
A Review on Practical Challenges of Aerial Quantum Communication
The increasing demand for the realization of global-scale quantum communication services necessitates critical investigation for a practical quantum secure communication network that relies on full-time all-location coverage. In this direction, the non-terrestrial quantum key distribution is expected to play an importa...
Umang Dubey, Prathamesh Bhole, Arindam Dutta, Dibya Prakash Behera, Vethonulu Losu, Guru Satya Dattatreya Pandeeti, Abhir Raj Metkar, Anindita Banerjee, Anirban Pathak
2023-09-23T16:03:23Z
http://arxiv.org/abs/2309.13417v1
# A Review on Practical Challenges of ###### Abstract The increasing demand for the realization of global-scale quantum communication services necessitates critical investigation for a practical quantum secure communication network that relies on full-time all-location coverage. In this direction, the non-terrestrial...
2309.07462
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?
Large Language Models (LLMs) excel in various Natural Language Processing (NLP) tasks, yet their evaluation, particularly in languages beyond the top $20$, remains inadequate due to existing benchmarks and metrics limitations. Employing LLMs as evaluators to rank or score other models' outputs emerges as a viable solut...
Rishav Hada, Varun Gumma, Adrian de Wynter, Harshita Diddee, Mohamed Ahmed, Monojit Choudhury, Kalika Bali, Sunayana Sitaram
2023-09-14T06:41:58Z
http://arxiv.org/abs/2309.07462v2
# Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation? ###### Abstract Large Language Models (LLMs) have demonstrated impressive performance on Natural Language Processing (NLP) tasks, such as Question Answering, Summarization, and Classification. The use of LLMs as evaluators...
2305.19589
SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT
Second language acquisition (SLA) research has extensively studied cross-linguistic transfer, the influence of linguistic structure of a speaker's native language [L1] on the successful acquisition of a foreign language [L2]. Effects of such transfer can be positive (facilitating acquisition) or negative (impeding acqu...
Aditya Yadavalli, Alekhya Yadavalli, Vera Tobin
2023-05-31T06:22:07Z
http://arxiv.org/abs/2305.19589v1
# SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT ###### Abstract Second language acquisition (SLA) research has extensively studied cross-linguistic transfer, the influence of linguistic structure of a speaker's native language [L1] on the successful acquisition of a foreign language [L2]...
2308.16646
Hydrodynamic limit and Newtonian limit from the relativistic Boltzmann equation to the classical Euler equations
The hydrodynamic limit and Newtonian limit are important in the relativistic kinetic theory. We justify rigorously the validity of the two independent limits from the special relativistic Boltzmann equation to the classical Euler equations without assuming any dependence between the Knudsen number $\varepsilon$ and the...
Yong Wang, Changguo Xiao
2023-08-31T11:36:31Z
http://arxiv.org/abs/2308.16646v1
Hydrodynamic limit and Newtonian limit from the relativistic Boltzmann equation to the classical Euler equations ###### Abstract. The hydrodynamic limit and Newtonian limit are important in the relativistic kinetic theory. We justify rigorously the validity of the two independent limits from the special relativistic ...
2309.08989
RMP: A Random Mask Pretrain Framework for Motion Prediction
As the pretraining technique is growing in popularity, little work has been done on pretrained learning-based motion prediction methods in autonomous driving. In this paper, we propose a framework to formalize the pretraining task for trajectory prediction of traffic participants. Within our framework, inspired by the ...
Yi Yang, Qingwen Zhang, Thomas Gilles, Nazre Batool, John Folkesson
2023-09-16T13:09:02Z
http://arxiv.org/abs/2309.08989v1
# RMP: A Random Mask Pretrain Framework for Motion Prediction ###### Abstract Xi _Abstract_--As the pretraining technique is growing in popularity, little work has been done on pretrained learning-based motion prediction methods in autonomous driving. In this paper, we propose a framework to formalize the pretraining...
2309.11200
Rotating Alfvén waves in rotating plasmas
Angular momentum coupling between a rotating magnetized plasma and torsional Alfv\'en waves carrying orbital angular momentum (OAM) is examined. It is not only demonstrated that rotation is the source of Fresnel-Faraday rotation - or orbital Faraday rotation effects - for OAM carrying Alfv\'en waves, but also that angu...
J. -M. Rax, R. Gueroult, N. J. Fisch
2023-09-20T10:36:49Z
http://arxiv.org/abs/2309.11200v1
# Rotating Alfven waves in rotating plasmas ###### Abstract Angular momentum coupling between a rotating magnetized plasma and torsional Alfven waves carrying orbital angular momentum (OAM) is examined. It is not only demonstrated that rotation is the source of Fresnel-Faraday rotation - or orbital Faraday rotation e...
2309.09329
A Few-Shot Approach to Dysarthric Speech Intelligibility Level Classification Using Transformers
Dysarthria is a speech disorder that hinders communication due to difficulties in articulating words. Detection of dysarthria is important for several reasons as it can be used to develop a treatment plan and help improve a person's quality of life and ability to communicate effectively. Much of the literature focused ...
Paleti Nikhil Chowdary, Vadlapudi Sai Aravind, Gorantla V N S L Vishnu Vardhan, Menta Sai Akshay, Menta Sai Aashish, Jyothish Lal. G
2023-09-17T17:23:41Z
http://arxiv.org/abs/2309.09329v1
# A Few-Shot Approach to Dysarthrie Speech Intelligibility Level Classification Using Transformers ###### Abstract Dysarthria is a speech disorder that hinders communication due to difficulties in articulating words. Detection of dysarthria is important for several reasons as it can be used to develop a treatment pla...
2309.11566
SignBank+: Preparing a Multilingual Sign Language Dataset for Machine Translation Using Large Language Models
We introduce SignBank+, a clean version of the SignBank dataset, optimized for machine translation between spoken language text and SignWriting, a phonetic sign language writing system. In addition to previous work that employs complex factorization techniques to enable translation between text and SignWriting, we show...
Amit Moryossef, Zifan Jiang
2023-09-20T18:08:28Z
http://arxiv.org/abs/2309.11566v2
# SignBank+: Multilingual Sign Language Translation Dataset ###### Abstract This work advances the field of sign language machine translation by focusing on dataset quality and simplification of the translation system. We introduce SignBank+, a clean version of the SignBank dataset, optimized for machine translation....
2309.07304
The Way We Were: Structural Operational Semantics Research in Perspective
This position paper on the (meta-)theory of Structural Operational Semantic (SOS) is motivated by the following two questions: (1) Is the (meta-)theory of SOS dying out as a research field? (2) If so, is it possible to rejuvenate this field with a redefined purpose? In this article, we will consider possible answers ...
Luca Aceto, Pierluigi Crescenzi, Anna Ingólfsdóttir, Mohammad Reza Mousavi
2023-09-13T20:50:53Z
http://arxiv.org/abs/2309.07304v1
# The Way We Were: Structural Operational Semantics Research in Perspective ###### Abstract This paper presents a novel approach to the (meta-)theory of structural Operational Semantics. We show that the (meta-)theory of structural Operational Semantics is motivated by the following two questions: * Is the (meta-)th...
2306.17792
Towards Improving the Performance of Pre-Trained Speech Models for Low-Resource Languages Through Lateral Inhibition
With the rise of bidirectional encoder representations from Transformer models in natural language processing, the speech community has adopted some of their development methodologies. Therefore, the Wav2Vec models were introduced to reduce the data required to obtain state-of-the-art results. This work leverages this ...
Andrei-Marius Avram, Răzvan-Alexandru Smădu, Vasile Păiş, Dumitru-Clementin Cercel, Radu Ion, Dan Tufiş
2023-06-30T16:48:22Z
http://arxiv.org/abs/2306.17792v1
Towards Improving the Performance of Pre-Trained Speech Models for Low-Resource Languages Through Lateral Inhibition ###### Abstract With the rise of bidirectional encoder representations from Transformer models in natural language processing, the speech community has adopted some of their development methodologies. ...
2309.08037
Gain and Phase: Decentralized Stability Conditions for Power Electronics-Dominated Power Systems
This paper proposes decentralized stability conditions for multi-converter systems based on the combination of the small gain theorem and the small phase theorem. Instead of directly computing the closed-loop dynamics, e.g., eigenvalues of the state-space matrix, or using the generalized Nyquist stability criterion, th...
Linbin Huang, Dan Wang, Xiongfei Wang, Huanhai Xin, Ping Ju, Karl H. Johansson, Florian Dörfler
2023-09-14T21:58:50Z
http://arxiv.org/abs/2309.08037v2
# Gain and Phase: Decentralized Stability Conditions for Power Electronics-Dominated Power Systems ###### Abstract This paper proposes decentralized stability conditions for multi-converter systems based on the combination of the small gain theorem and the small phase theorem. Instead of directly computing the closed...
2309.13371
Small telescopes being effective: MAGIC or not?
The paper describes the MAGIC multi-mode focal reducer (Monitoring of Active Galaxies by Investigation of their Cores), commissioned on the 1-m Zeiss-1000 telescope of the Special Astrophysical Observatory of the Russian Academy of Sciences in September 2020. Three observational modes are currently realised: photometry...
Victor L. Afanasiev, Eugene A. Malygin, Elena S. Shablovinskaya, Roman I. Uklein, Vladimir R. Amirkhanyan, Alexander E. Perepelitsyn, Irina V. Afanasieva
2023-09-23T13:20:51Z
http://arxiv.org/abs/2309.13371v1
# Small telescopes being effective: MAGIC or not? ###### Abstract The paper describes the MAGIC multi-mode focal reducer (Monitoring of Active Galaxies by Investigation of their Cores), commissioned on the 1-m Zeiss-1000 telescope of the Special Astrophysical Observatory of the Russian Academy of Sciences in Septembe...
2301.00249
Minimal surfaces and the new main inequality
We establish the new main inequality as a minimizing criterion for minimal maps to products of $\mathbb{R}$-trees, and the infinitesimal new main inequality as a stability criterion for minimal maps to $\mathbb{R}^n$. Along the way, we develop a new perspective on destabilizing minimal surfaces in $\mathbb{R}^n$, and a...
Vladimir Markovic, Nathaniel Sagman
2022-12-31T16:47:10Z
http://arxiv.org/abs/2301.00249v2
# Minimal surfaces and the new main inequality ###### Abstract. We establish the new main inequality as a minimizing criterion for minimal maps into products of \(\mathbb{R}\)-trees, and the infinitesimal new main inequality as a stability criterion for minimal maps to \(\mathbb{R}^{n}\). Along the way, we develop a ...
2310.00508
Analytical Modeling of Parameter Imbalance in Permanent Magnet Synchronous Machines
This paper presents a systematic and comprehensive analysis of the impact of parameter imbalance in permanent magnet synchronous machines. Analytical models that reveal the effects of imbalance are obtained for each parameter. Thereafter, the models are verified for accuracy by comparison with complex simulations that ...
Prerit Pramod
2023-09-30T22:07:06Z
http://arxiv.org/abs/2310.00508v1
# Analytical Modeling of Parameter Imbalance in Permanent Magnet Synchronous Machines ###### Abstract This paper presents a systematic and comprehensive analysis of the impact of parameter imbalance in permanent magnet synchronous machines. Analytical models that reveal the effects of imbalance are obtained for each ...
2309.09301
RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
The current interacting hand (IH) datasets are relatively simplistic in terms of background and texture, with hand joints being annotated by a machine annotator, which may result in inaccuracies, and the diversity of pose distribution is limited. However, the variability of background, pose distribution, and texture ca...
Lijun Li, Linrui Tian, Xindi Zhang, Qi Wang, Bang Zhang, Mengyuan Liu, Chen Chen
2023-09-17T15:30:58Z
http://arxiv.org/abs/2309.09301v3
# RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation ###### Abstract The current interacting hand (IH) datasets are relatively simplistic in terms of background and texture, with hand joints being annotated by a machine annotator, which may result in inaccuracies, and the diversity of p...
2309.06032
Explicit formula for the Gamma-convergence homogenized quadratic curvature energy in isotropic Cosserat shell models
We show how to explicitly compute the homogenized curvature energy appearing in the isotropic $\Gamma$-limit for flat and for curved initial configuration Cosserat shell models, when a parental three-dimensional minimization problem on $\Omega \subset \mathbb{R}^3$ for a Cosserat energy based on the second order disloc...
Maryam Mohammadi Saem, Emilian Bulgariu, Ionel-Dumitrel Ghiba, Patrizio Neff
2023-09-12T08:05:20Z
http://arxiv.org/abs/2309.06032v1
Explicit formula for the Gamma-convergence homogenized quadratic curvature energy in isotropic Cosserat shell models ###### Abstract We show how to explicitly compute the homogenized curvature energy appearing in the isotropic \(\Gamma\)-limit for flat and for curved initial configuration Cosserat shell models, when ...
2309.10888
Effect of interatomic repulsion on Majorana zero modes in a coupled quantum-dot-superconducting-nanowire hybrid system
We study the low-energy eigenstates of a topological superconductor wire modeled by a Kitaev chain, which is connected at one of its ends to a quantum dot through nearest-neighbor (NN) hopping and NN Coulomb repulsion. Using an unrestricted Hartree-Fock approximation to decouple the Coulomb term, we obtain that the qua...
R. Kenyi Takagui Perez, A. A. Aligia
2023-09-19T19:29:12Z
http://arxiv.org/abs/2309.10888v3
Effect of interatomic repulsion on Majorana zero modes in a coupled quantum-dot-superconducting-nanowire hybrid system ###### Abstract We study the low-energy eigenstates of a topological superconductor wire modeled by a Kitaev chain coupled at one of its ends to a quantum dot by nearest-neighbor (NN) hopping and NN ...
2302.14744
Tightness of prescriptive tree-based mixed-integer optimization formulations
We focus on modeling the relationship between an input feature vector and the predicted outcome of a trained decision tree using mixed-integer optimization. This can be used in many practical applications where a decision tree or tree ensemble is incorporated into an optimization problem to model the predicted outcomes...
Max Biggs, Georgia Perakis
2023-02-28T16:44:10Z
http://arxiv.org/abs/2302.14744v1
# Tightness of prescriptive tree-based mixed-integer optimization formulations ###### Abstract We focus on modeling the relationship between an input feature vector and the predicted outcome of a trained decision tree using mixed-integer optimization. This can be used in many practical applications where a decision t...
2310.02337
Hilbert Expansion of Boltzmann Equation with Soft Potentials and Specular Boundary Condition in Half-space
Boundary effects play an important role in the study of hydrodynamic limits in the Boltzmann theory. We justify rigorously the validity of the hydrodynamic limit from the Boltzmann equation of soft potentials to the compressible Euler equations by the Hilbert expansion with multi-scales. Specifically, the Boltzmann sol...
Jing Ouyang, Yong Wang
2023-09-19T01:44:53Z
http://arxiv.org/abs/2310.02337v1
Hilbert expansion of Boltzmann equation with soft potentials and specular boundary condition in half-space ###### Abstract. Boundary effects play an important role in the study of hydrodynamic limits in the Boltzmann theory. We justify rigorously the validity of the hydrodynamic limit from the Boltzmann equation of s...
2309.04625
Democracy from topology
Chiral form fields in $d$ dimensions can be effectively described as edge modes of topological Chern-Simons theories in $d+1$ dimensions. At the same time, manifestly Lorentz-invariant Lagrangian description of such fields directly in terms of a $d$-dimensional field theory is challenging and requires introducing nontr...
Oleg Evnin, Euihun Joung, Karapet Mkrtchyan
2023-09-08T22:31:56Z
http://arxiv.org/abs/2309.04625v1
# Democracy from topology ###### Abstract Chiral form fields in \(d\) dimensions can be effectively described as edge modes of topological Chern-Simons theories in \(d+1\) dimensions. At the same time, manifestly Lorentz-invariant Lagrangian description of such fields directly in terms of a \(d\)-dimensional field th...
2309.13359
Analysis of the Gravitational Wave Background Using Gamma-Ray Pulsar Timing Arrays with Next-Generation Detectors
In this work, we investigate the potential of gamma-ray pulsar time array (PTA) on gravitational waves background (GWB) using future gamma-ray detectors with larger effective areas. We consider both spaceborne detectors and ground-based imaging air Cherenkov telescope arrays (IACTs). We simulated the detected photons f...
Zhen Xie, Zhipeng Zhang, Jieshuang Wang, Ruizhi Yang
2023-09-23T12:44:08Z
http://arxiv.org/abs/2309.13359v1
Analysis of the Gravitational Wave Background Using Gamma-Ray Pulsar Timing Arrays with Next-Generation Detectors ###### Abstract In this work, we investigate the potential of gamma-ray pulsar time array (PTA) on gravitational waves background (GWB) using future gamma-ray detectors with larger effective areas. We con...
2301.00261
Cluster radioactivity in trans-lead region: A systematic study with modified empirical formulas
The possibility of cluster emission from trans-lead (86$\leq$Z$\leq$96) region of periodic chart has been explored comprehensively by employing few empirical formulas which are modified by adding angular momentum ($l$) or isospin-dependent ($I=(N-Z)/A$) or both terms for the calculation of cluster decay half-lives. The...
A. Jain, P. K. Sharma, S. K. Jain, J. K. Deegwal, G. Saxena
2022-12-31T18:03:03Z
http://arxiv.org/abs/2301.00261v1
# Cluster radioactivity in trans-lead region: A systematic study with modified empirical formulas ###### Abstract The possibility of cluster emission from trans-lead (86\(\leq\)Z\(\leq\)96) region of periodic chart has been explored comprehensively by employing few empirical formulas which are modified by adding angu...
2309.12721
Metrology of Rydberg states of the hydrogen atom
We present a method to precisly measure the frequencies of transitions to high-$n$ Rydberg states of the hydrogen atom which are not subject to uncontrolled systematic shifts caused by stray electric fields. The method consists in recording Stark spectra of the field-insensitive $k=0$ Stark states and the field-sensiti...
Simon Scheidegger, Josef A. Agner, Hansjürg Schmutz, Frédéric Merkt
2023-09-22T09:11:55Z
http://arxiv.org/abs/2309.12721v1
# Metrology of Rydberg states of the hydrogen atom ###### Abstract We present a method to precisly measure the frequencies of transitions to high-\(n\) Rydberg states of the hydrogen atom which are not subject to uncontrolled systematic shifts caused by stray electric fields. The method consists in recording Stark sp...
2310.00246
A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud
As an emerging field that aims to bridge the gap between human activities and computing systems, human-centered computing (HCC) in cloud, edge, fog has had a huge impact on the artificial intelligence algorithms. The quantum generative adversarial network (QGAN) is considered to be one of the quantum machine learning a...
Wenjie Liu, Ying Zhang, Zhiliang Deng, Jiaojiao Zhao, Lian Tong
2023-09-30T04:31:23Z
http://arxiv.org/abs/2310.00246v1
A hybrid quantum-classical conditional generative adversarial network algorithm for human-centered paradigm in cloud ###### Abstract As an emerging field that aims to bridge the gap between human activities and computing systems, human-centered computing (HCC) in cloud, edge, fog has had a huge impact on the artifici...
2310.20196
Further Development of Event-Based Analysis of X-ray Polarization Data
An event-based maximum likelihood method for handling X-ray polarimetry data is extended to include the effects of background and nonuniform sampling of the possible position angle space. While nonuniform sampling in position angle space generally introduces cross terms in the uncertainties of polarization parameters t...
Herman L. Marshall
2023-10-31T05:43:43Z
http://arxiv.org/abs/2310.20196v2
# Further Development of Event-Based Analysis of X-Ray Polarization Data ###### Abstract An event-based maximum likelihood method for handling X-ray polarimetry data is extended to include the effects of background and nonuniform sampling of the possible position angle space. While nonuniform sampling in position ang...
2309.14350
Training neural mapping schemes for satellite altimetry with simulation data
Satellite altimetry combined with data assimilation and optimal interpolation schemes have deeply renewed our ability to monitor sea surface dynamics. Recently, deep learning (DL) schemes have emerged as appealing solutions to address space-time interpolation problems. The scarcity of real altimetry dataset, in terms o...
Quentin Febvre, Julien Le Sommer, Clément Ubelmann, Ronan Fablet
2023-09-19T14:32:25Z
http://arxiv.org/abs/2309.14350v1
# Training neural mapping schemes for satellite altimetry with simulation data ###### Abstract We propose to train neural mapping schemes for real altimeter data from ocean simulation data. The trained neural schemes significantly outperform the operational mapping of real altimetry data for a Gulf Stream case-study...
2309.04143
On several problems in p-Bergman theory
In this paper, we first answer Chen-Zhang's problem on $p$-Bergman metric proposed in \cite{CZ22}. Second, we prove the off-diagonal p-Bergman kernel function $K_p(z,w)$ is H\"older continuous of order (1-$\varepsilon$) about the second component when $p>1$ for any $\varepsilon>0$, which improves the corresponding resu...
Yinji Li
2023-09-08T05:55:10Z
http://arxiv.org/abs/2309.04143v1
# On several problems in P-Bergman theory ###### Abstract. In this paper, we first answer Chen-Zhang's problem on \(p\)-Bergman metric proposed in [2]. Second, we prove the off-diagonal p-Bergman kernel function \(K_{p}(z,w)\) is Holder continuous of order (1-\(\varepsilon\)) about the second component when \(p{>}1\)...
2309.16547
Controlling spin polarization of gapless states in defected trilayer graphene with a gate voltage
Trilayer graphene exhibits valley-protected gapless states when the stacking order changes from ABC to CBA and a gate voltage is applied to outer layers. Some of these states survive strong distortions of the trilayer. For example, they persist when the outer layers are partially devoid yielding a system of two trilaye...
Wlodzimierz Jaskolski
2023-09-28T15:58:58Z
http://arxiv.org/abs/2309.16547v1
# Controlling spin polarization of gapless states in defected trilayer graphene ###### Abstract Trilayer graphene exhibits valley-protected gapless states when the stacking order changes from ABC to CBA and a gate voltage is applied to outer layers. Some of these states survive strong distortions of the trilayer. For...
2309.11228
Towards Robust Few-shot Point Cloud Semantic Segmentation
Few-shot point cloud semantic segmentation aims to train a model to quickly adapt to new unseen classes with only a handful of support set samples. However, the noise-free assumption in the support set can be easily violated in many practical real-world settings. In this paper, we focus on improving the robustness of f...
Yating Xu, Na Zhao, Gim Hee Lee
2023-09-20T11:40:10Z
http://arxiv.org/abs/2309.11228v1
# Towards Robust Few-shot Point Cloud Semantic Segmentation ###### Abstract Few-shot point cloud semantic segmentation aims to train a model to quickly adapt to new unseen classes with only a handful of support set samples. However, the noise-free assumption in the support set can be easily violated in many practical...
2309.09467
A model of stochastic memoization and name generation in probabilistic programming: categorical semantics via monads on presheaf categories
Stochastic memoization is a higher-order construct of probabilistic programming languages that is key in Bayesian nonparametrics, a modular approach that allows us to extend models beyond their parametric limitations and compose them in an elegant and principled manner. Stochastic memoization is simple and useful in pr...
Younesse Kaddar, Sam Staton
2023-09-18T04:02:03Z
http://arxiv.org/abs/2309.09467v2
A Model of Stochastic Memoization and Name Generation in Probabilistic Programming: Categorical Semantics via Monads on Presheaf Categories ###### Abstract Stochastic memoization is a higher-order construct of probabilistic programming languages that is key in Bayesian nonparametrics, a modular approach that allows u...
2309.10122
Graph Threading
Inspired by artistic practices such as beadwork and himmeli, we study the problem of threading a single string through a set of tubes, so that pulling the string forms a desired graph. More precisely, given a connected graph (where edges represent tubes and vertices represent junctions where they meet), we give a polyn...
Erik D. Demaine, Yael Kirkpatrick, Rebecca Lin
2023-09-18T19:51:58Z
http://arxiv.org/abs/2309.10122v2
# Graph Threading ###### Abstract Inspired by artistic practices such as beadwork and himmeli, we study the problem of _threading_ a single string through a set of tubes, so that pulling the string forms a desired graph. More precisely, given a connected graph (where edges represent tubes and vertices represent junct...
2308.00018
Entanglement and chaos near critical point in strongly coupled gauge theory
We perform a holographic study of the high and low temperature behaviours of logarithmic negativity (LN) and entanglement wedge cross section (EWCS) in a large $N$ strongly coupled thermal field theory with critical point having a well defined gravity dual known as 1RC black hole. The critical point is defined via $\xi...
Sanjay Pant, Debanjan Karan
2023-07-31T17:55:54Z
http://arxiv.org/abs/2308.00018v3
# More on Entanglement and Chaos near Critical Point in Strongly Coupled Gauge Theory ###### Abstract We perform a holographic study of the high and low temperature behaviours of logarithmic negativity (LN) and entanglement wedge cross section (EWCS) in a large \(N\) strongly coupled thermal field theory with critica...
2309.12735
Optimal Dynamic Fees for Blockchain Resources
We develop a general and practical framework to address the problem of the optimal design of dynamic fee mechanisms for multiple blockchain resources. Our framework allows to compute policies that optimally trade-off between adjusting resource prices to handle persistent demand shifts versus being robust to local noise...
Davide Crapis, Ciamac C. Moallemi, Shouqiao Wang
2023-09-22T09:34:33Z
http://arxiv.org/abs/2309.12735v1
# Optimal Dynamic Fees for Blockchain Resources ###### Abstract We develop a general and practical framework to address the problem of the optimal design of dynamic fee mechanisms for multiple blockchain resources. Our framework allows to compute policies that optimally trade-off between adjusting resource prices to ...
2309.04631
Open and reusable deep learning for pathology with WSInfer and QuPath
The field of digital pathology has seen a proliferation of deep learning models in recent years. Despite substantial progress, it remains rare for other researchers and pathologists to be able to access models published in the literature and apply them to their own images. This is due to difficulties in both sharing an...
Jakub R. Kaczmarzyk, Alan O'Callaghan, Fiona Inglis, Tahsin Kurc, Rajarsi Gupta, Erich Bremer, Peter Bankhead, Joel H. Saltz
2023-09-08T22:47:23Z
http://arxiv.org/abs/2309.04631v1
# Open and reusable deep learning for pathology with WSInfer and QuPath ###### Abstract The field of digital pathology has seen a proliferation of deep learning models in recent years. Despite substantial progress, it remains rare for other researchers and pathologists to be able to access models published in the lit...
2309.12053
AceGPT, Localizing Large Language Models in Arabic
This paper is devoted to the development of a localized Large Language Model (LLM) specifically for Arabic, a language imbued with unique cultural characteristics inadequately addressed by current mainstream models. Significant concerns emerge when addressing cultural sensitivity and local values. To address this, the ...
Huang Huang, Fei Yu, Jianqing Zhu, Xuening Sun, Hao Cheng, Dingjie Song, Zhihong Chen, Abdulmohsen Alharthi, Bang An, Juncai He, Ziche Liu, Zhiyi Zhang, Junying Chen, Jianquan Li, Benyou Wang, Lian Zhang, Ruoyu Sun, Xiang Wan, Haizhou Li, Jinchao Xu
2023-09-21T13:20:13Z
http://arxiv.org/abs/2309.12053v5
# AceGPT, Localizing Large Language Models ###### Abstract This paper is devoted to the development of a localized Large Language Model (LLM) specifically for Arabic, a language imbued with unique cultural characteristics inadequately addressed by current mainstream models. Significant concerns emerge when addressing...
2307.16799
Toward Privacy in Quantum Program Execution On Untrusted Quantum Cloud Computing Machines for Business-sensitive Quantum Needs
Quantum computing is an emerging paradigm that has shown great promise in accelerating large-scale scientific, optimization, and machine-learning workloads. With most quantum computing solutions being offered over the cloud, it has become imperative to protect confidential and proprietary quantum code from being access...
Tirthak Patel, Daniel Silver, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari
2023-07-31T16:07:37Z
http://arxiv.org/abs/2307.16799v1
Toward Privacy in Quantum Program Execution On Untrusted Quantum Cloud Computing Machines for Business-sensitive Quantum Needs ###### Abstract. Quantum computing is an emerging paradigm that has shown great promise in accelerating large-scale scientific, optimization, and machine-learning workloads. With most quantum...
2309.16235
Language models in molecular discovery
The success of language models, especially transformer-based architectures, has trickled into other domains giving rise to "scientific language models" that operate on small molecules, proteins or polymers. In chemistry, language models contribute to accelerating the molecule discovery cycle as evidenced by promising r...
Nikita Janakarajan, Tim Erdmann, Sarath Swaminathan, Teodoro Laino, Jannis Born
2023-09-28T08:19:54Z
http://arxiv.org/abs/2309.16235v1
# Language models in molecular discovery ###### Abstract The success of language models, especially transformer-based architectures, has trickled into other domains giving rise to "scientific language models" that operate on small molecules, proteins or polymers. In chemistry, language models contribute to accelerati...
2309.16962
Lifting the Fog of Uncertainties: Dynamic Resource Orchestration for the Containerized Cloud
The advances in virtualization technologies have sparked a growing transition from virtual machine (VM)-based to container-based infrastructure for cloud computing. From the resource orchestration perspective, containers' lightweight and highly configurable nature not only enables opportunities for more optimized strat...
Yuqiu Zhang, Tongkun Zhang, Gengrui Zhang, Hans-Arno Jacobsen
2023-09-29T04:11:12Z
http://arxiv.org/abs/2309.16962v1
# Lifting the Fog of Uncertainties: Dynamic Resource Orchestration for the Containerized Cloud ###### Abstract. The advances in virtualization technologies have sparked a growing transition from virtual machine (VM)-based to container-based infrastructure for cloud computing. From the resource orchestration perspecti...
2308.16493
Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception
Vision-language models (VLMs) have shown powerful capabilities in visual question answering and reasoning tasks by combining visual representations with the abstract skill set large language models (LLMs) learn during pretraining. Vision, while the most popular modality to augment LLMs with, is only one representation ...
Riley Tavassoli, Mani Amani, Reza Akhavian
2023-08-31T06:53:55Z
http://arxiv.org/abs/2308.16493v1
# Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception ###### Abstract Vision-language models (VLMs) have shown powerful capabilities in visual question answering and reasoning tasks by combining visual representations with the abstract skill set large language models (LLMs) l...
2301.13786
Deep learning-based lung segmentation and automatic regional template in chest X-ray images for pediatric tuberculosis
Tuberculosis (TB) is still considered a leading cause of death and a substantial threat to global child health. Both TB infection and disease are curable using antibiotics. However, most children who die of TB are never diagnosed or treated. In clinical practice, experienced physicians assess TB by examining chest X-ra...
Daniel Capellán-Martín, Juan J. Gómez-Valverde, Ramon Sanchez-Jacob, David Bermejo-Peláez, Lara García-Delgado, Elisa López-Varela, Maria J. Ledesma-Carbayo
2023-01-31T17:33:35Z
http://arxiv.org/abs/2301.13786v1
Deep learning-based lung segmentation and automatic regional template in chest X-ray images for pediatric tuberculosis ###### Abstract Tuberculosiss (TB) is still considered a leading cause of death and a substantial threat to global child health. Both TB infection and disease are curable using antibiotics. However, ...
2306.17547
Spaces of innovation and venture formation: the case of biotech in the United Kingdom
Patents serve as valuable indicators of innovation and provide insights into the spaces of innovation and venture formation within geographic regions. In this study, we utilise patent data to examine the dynamics of innovation and venture formation in the biotech sector across the United Kingdom (UK). By analysing pate...
Francesco Marzolla, Przemysław Nowak, Rohit Sahasrabuddhe, Chakresh Singh, Matteo Straccamore, Erik Zhivkoplias, Elsa Arcaute
2023-06-30T11:04:41Z
http://arxiv.org/abs/2306.17547v1
# Spaces of innovation and venture formation: the case of biotech in the United Kingdom ###### Abstract Patents serve as valuable indicators of innovation and provide insights into the spaces of innovation and venture formation within geographic regions. In this study, we utilise patent data to examine the dynamics o...