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arxiv_dataset-148002106.02236
Refined clock-jitter reduction in the Sagnac-type time-delay interferometry combinations gr-qc The ongoing development of the space-based laser interferometer missions is aiming at unprecedented gravitational wave detections in the millihertz frequency band. The spaceborne nature of the experimental setups leads ...
arxiv topic:gr-qc
arxiv_dataset-148012106.02336
On an inverse scattering transform for the nonlinear Sch\"odinger equation on the half-line nlin.SI hep-th math-ph math.MP In this paper, we develop an inverse scattering transform for the integrable focusing nonlinear Schr\"odinger (NLS) equation on the half-line subject to a class of boundary conditions. The me...
arxiv topic:nlin.SI hep-th math-ph math.MP
arxiv_dataset-148022106.02436
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions cs.LG We study the stochastic Multi-Armed Bandit (MAB) problem with random delays in the feedback received by the algorithm. We consider two settings: the reward-dependent delay setting, where realized delays may depend on the stochastic rewards, ...
arxiv topic:cs.LG
arxiv_dataset-148032106.02536
The Penrose Property with a Cosmological Constant gr-qc hep-th A spacetime satisfies the non-timelike boundary version of the Penrose property if the timelike future of any point on $\mathcal{I}^-$ contains the whole of $\mathcal{I}^+$. This property was first discussed for asymptotically flat spacetimes by Penrose...
arxiv topic:gr-qc hep-th
arxiv_dataset-148042106.02636
MERLOT: Multimodal Neural Script Knowledge Models cs.CV cs.CL cs.LG As humans, we understand events in the visual world contextually, performing multimodal reasoning across time to make inferences about the past, present, and future. We introduce MERLOT, a model that learns multimodal script knowledge by watching m...
arxiv topic:cs.CV cs.CL cs.LG
arxiv_dataset-148052106.02736
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings cs.LG cs.CL While recent work has shown that scores from models trained by the ubiquitous masked language modeling (MLM) objective effectively discriminate probable from improbable sequences, it is still an open question ...
arxiv topic:cs.LG cs.CL
arxiv_dataset-148062106.02836
Constrained Generalized Additive 2 Model with Consideration of High-Order Interactions cs.LG In recent years, machine learning and AI have been introduced in many industrial fields. In fields such as finance, medicine, and autonomous driving, where the inference results of a model may have serious consequences, h...
arxiv topic:cs.LG
arxiv_dataset-148072106.02936
Paley type inequality on Hardy space in the Dunkl setting math.CA We investigate $\lambda$-Hilbert transform, $\lambda$-Possion integral and conjugate $\lambda$-Poisson integral on the atomic Hardy space in the Dunkl setting and establish a new version of Paley type inequality which extends the results in \cite{F} ...
arxiv topic:math.CA
arxiv_dataset-148082106.03036
Real-Time Cognitive Evaluation of Online Learners through Automatically Generated Questions cs.HC cs.AI cs.CL With the increased adoption of E-learning platforms, keeping online learners engaged throughout a lesson is challenging. One approach to tackle this challenge is to probe learn-ers periodically by asking ...
arxiv topic:cs.HC cs.AI cs.CL
arxiv_dataset-148092106.03136
3D Convolution Neural Network based Person Identification using Gait cycles cs.CV cs.AI Human identification plays a prominent role in terms of security. In modern times security is becoming the key term for an individual or a country, especially for countries which are facing internal or external threats. Gait a...
arxiv topic:cs.CV cs.AI
arxiv_dataset-148102106.03236
Graph2Graph Learning with Conditional Autoregressive Models cs.LG We present a graph neural network model for solving graph-to-graph learning problems. Most deep learning on graphs considers ``simple'' problems such as graph classification or regressing real-valued graph properties. For such tasks, the main require...
arxiv topic:cs.LG
arxiv_dataset-148112106.03336
Wide-Baseline Relative Camera Pose Estimation with Directional Learning cs.CV Modern deep learning techniques that regress the relative camera pose between two images have difficulty dealing with challenging scenarios, such as large camera motions resulting in occlusions and significant changes in perspective that ...
arxiv topic:cs.CV
arxiv_dataset-148122106.03436
Wave Analysis and Homogenization of Spatiotemporally Modulated Wire Medium physics.app-ph physics.optics In this paper we develop homogenization theory for spatiotemporally modulated wire medium. We first solve for the modal waves that are supported by this composite medium, we show peculiar properties such as ex...
arxiv topic:physics.app-ph physics.optics
arxiv_dataset-148132106.03536
Performance assessment of Synchronous Condensers vs Voltage Source Converters providing grid-forming functions eess.SY cs.SY Having sufficient grid-forming sources is one of the necessary conditions to guarantee the stability in a power system hosting a very large share of inverter-based generation. The grid-form...
arxiv topic:eess.SY cs.SY
arxiv_dataset-148142106.03636
Usage of GPUs in ALICE Online and Offline processing during LHC Run 3 physics.ins-det ALICE will significantly increase its Pb--Pb data taking rate from the 1\,kHz of triggered readout in Run 2 to 50 kHz of continuous readout for LHC Run 3. Updated tracking detectors are installed for Run 3 and a new two-phase comp...
arxiv topic:physics.ins-det
arxiv_dataset-148152106.03736
The effect of phased recurrent units in the classification of multiple catalogs of astronomical lightcurves astro-ph.IM cs.AI In the new era of very large telescopes, where data is crucial to expand scientific knowledge, we have witnessed many deep learning applications for the automatic classification of lightcu...
arxiv topic:astro-ph.IM cs.AI
arxiv_dataset-148162106.03836
Tunable Trajectory Planner Using G3 Curves cs.RO cs.SY eess.SY Trajectory planning is commonly used as part of a local planner in autonomous driving. This paper considers the problem of planning a continuous-curvature-rate trajectory between fixed start and goal states that minimizes a tunable trade-off between pas...
arxiv topic:cs.RO cs.SY eess.SY
arxiv_dataset-148172106.03936
Partial Optimal Transport for a Constant-Volume Lagrangian Mesh with Free Boundaries physics.flu-dyn cs.CE This article introduces a representation of dynamic meshes, adapted to some numerical simulations that require controlling the volume of objects with free boundaries, such as incompressible fluid simulation,...
arxiv topic:physics.flu-dyn cs.CE
arxiv_dataset-148182106.04036
Ratio sets of random sets math.CO math.NT We study the typical behavior of the size of the ratio set $A/A$ for a random subset $A\subset \{1,\dots , n\}$. For example, we prove that $|A/A|\sim \frac{2\text{Li}_2(3/4)}{\pi^2}n^2 $ for almost all subsets $A \subset\{1,\dots ,n\}$. We also prove that the proportion of...
arxiv topic:math.CO math.NT
arxiv_dataset-148192106.04136
Unrestricted Quantum Moduli Algebras, II: Noetherianity and Simple Fraction Rings at Roots of 1 math.QA We prove that the quantum graph algebra and the quantum moduli algebra associated to a punctured sphere and complex semisimple Lie algebra $\mathfrak{g}$ are Noetherian rings and finitely generated rings over $...
arxiv topic:math.QA
arxiv_dataset-148202106.04236
Study of pair production in inhomogeneous two-color electric fields using the computational quantum field theory hep-ph quant-ph We first demonstrate theoretically that the computational quantum field theory is equivalent to the quantum kinetic theory for pair creation in a spatially homogeneous and time-dependen...
arxiv topic:hep-ph quant-ph
arxiv_dataset-148212106.04336
Efficient Online Learning for Dynamic k-Clustering cs.LG We study dynamic clustering problems from the perspective of online learning. We consider an online learning problem, called \textit{Dynamic $k$-Clustering}, in which $k$ centers are maintained in a metric space over time (centers may change positions) such a...
arxiv topic:cs.LG
arxiv_dataset-148222106.04436
Cooperation and competition between pair and multi-player social games in spatial populations physics.soc-ph cond-mat.stat-mech cs.GT q-bio.PE The conflict between individual and collective interests is in the heart of every social dilemmas established by evolutionary game theory. We cannot avoid these conflicts ...
arxiv topic:physics.soc-ph cond-mat.stat-mech cs.GT q-bio.PE
arxiv_dataset-148232106.04536
TOI-1278 B: SPIRou unveils a rare Brown Dwarf Companion in Close-In Orbit around an M dwarf astro-ph.SR astro-ph.EP We present the discovery of an $18.5\pm0.5$M$_{\rm Jup}$ brown dwarf (BD) companion to the M0V star TOI-1278. The system was first identified through a percent-deep transit in TESS photometry; furth...
arxiv topic:astro-ph.SR astro-ph.EP
arxiv_dataset-148242106.04636
Automatically Differentiable Random Coefficient Logistic Demand Estimation econ.EM cs.DC stat.CO stat.ML We show how the random coefficient logistic demand (BLP) model can be phrased as an automatically differentiable moment function, including the incorporation of numerical safeguards proposed in the literature....
arxiv topic:econ.EM cs.DC stat.CO stat.ML
arxiv_dataset-148252106.04736
Analysis of Hybrid Gas-Dust Outbursts Observed at 67P/Churyumov-Gerasimenko astro-ph.EP Cometary outbursts offer a valuable window into the composition of comet nuclei with their forceful ejection of dust and volatiles in explosive events, revealing the interior components of the comet. Understanding how differen...
arxiv topic:astro-ph.EP
arxiv_dataset-148262106.04836
A black-box, general purpose quadratic self-consistent field code with and without Cholesky Decomposition of the two-electron integrals physics.chem-ph We present the implementation of a quadratically convergent Self-consistent field (QCSCF) algorithm based on an adaptive trust-radius optimization scheme for rest...
arxiv topic:physics.chem-ph
arxiv_dataset-148272106.04936
Penumbral decay observed in active region NOAA 12585 astro-ph.SR The physical conditions leading the sunspot penumbra decay are poorly understood so far. We investigate the photospheric magnetic and velocity properties of a sunspot penumbra during the decay phase to advance the current knowledge of the conditions l...
arxiv topic:astro-ph.SR
arxiv_dataset-148282106.05036
Towards Defending against Adversarial Examples via Attack-Invariant Features cs.CV Deep neural networks (DNNs) are vulnerable to adversarial noise. Their adversarial robustness can be improved by exploiting adversarial examples. However, given the continuously evolving attacks, models trained on seen types of adv...
arxiv topic:cs.CV
arxiv_dataset-148292106.05136
Hemivariational Inequalities on Graphs math.AP math.OC In this paper, a new class of hemivariational inequalities is introduced. It concerns Laplace operator on locally finite graphs together with multivalued nonmonotone nonlinearities expressed in terms of Clarke's subdifferential. First of all, we state and prove...
arxiv topic:math.AP math.OC
arxiv_dataset-148302106.05236
Design and fabrication of solar powered remote controlled all terrain sprayer and mower robot cs.RO Manual spraying of pesticides and herbicides to crops and weed inhibitors onto the field are quite laborious work to humans. Manual trimming of selected unwanted plants or harvested crops from the field is also dif...
arxiv topic:cs.RO
arxiv_dataset-148312106.05336
Spectra of non-regular elements in irreducible representations of simple algebraic groups math.RT math.GR We study the spectra of non-regular semisimple elements in irreducible representations of simple algebraic groups. More precisely, we prove that if G is a simply connected simple linear algebraic group and f ...
arxiv topic:math.RT math.GR
arxiv_dataset-148322106.05436
An adaptive Origin-Destination flows cluster-detecting method to identify urban mobility trends cs.CG cs.CV Origin-Destination (OD) flow, as an abstract representation of the object`s movement or interaction, has been used to reveal the urban mobility and human-land interaction pattern. As an important spatial an...
arxiv topic:cs.CG cs.CV
arxiv_dataset-148332106.05536
An Interpretable Neural Network for Parameter Inference stat.ML cs.LG econ.EM Adoption of deep neural networks in fields such as economics or finance has been constrained by the lack of interpretability of model outcomes. This paper proposes a generative neural network architecture - the parameter encoder neural ne...
arxiv topic:stat.ML cs.LG econ.EM
arxiv_dataset-148342106.05636
Measuring the rationality in evacuation behavior with deep learning physics.soc-ph The bounded rationality is a crucial component in human behaviors. It plays a key role in the typical collective behavior of evacuation, in which the heterogeneous information leads to the deviation of rational choices. In this study...
arxiv topic:physics.soc-ph
arxiv_dataset-148352106.05736
Charged reflecting shells supporting non-minimally coupled massless scalar field configurations gr-qc astro-ph.HE hep-th We study {\it analytically} the physical and mathematical properties of spatially regular massless scalar field configurations which are non-minimally coupled to the electromagnetic field of a ...
arxiv topic:gr-qc astro-ph.HE hep-th
arxiv_dataset-148362106.05836
EventDrop: data augmentation for event-based learning cs.LG cs.RO The advantages of event-sensing over conventional sensors (e.g., higher dynamic range, lower time latency, and lower power consumption) have spurred research into machine learning for event data. Unsurprisingly, deep learning has emerged as a competi...
arxiv topic:cs.LG cs.RO
arxiv_dataset-148372106.05936
Photoinduced Floquet topological magnons in a ferromagnetic checkerboard lattice cond-mat.other This theoretical work is devoted to investigating laser-irradiated Floquet topological magnon insulators on a two-dimensional checkerboard ferromagnet and corresponding topological phase transitions. It is shown that t...
arxiv topic:cond-mat.other
arxiv_dataset-148382106.06036
Leavitt path algebras of labelled graphs math.RA math.OA A Leavitt labelled path algebra over a commutative unital ring is associated with a labelled space, generalizing Leavitt path algebras associated with graphs and ultragraphs as well as torsion-free commutative algebras generated by idempotents. We show that L...
arxiv topic:math.RA math.OA
arxiv_dataset-148392106.06136
Security and Privacy for Healthcare Blockchains cs.CR Healthcare blockchains provide an innovative way to store healthcare information, execute healthcare transactions, and build trust for healthcare data sharing and data integration in a decentralized open healthcare network environment. Although the healthcare bl...
arxiv topic:cs.CR
arxiv_dataset-148402106.06236
Losses in interacting quantum gases: ultra-violet divergence and its regularization cond-mat.quant-gas We investigate the effect of losses on an interacting quantum gas. We show that, for gases in dimension higher than one, assuming together a vanishing correlation time of the reservoir where dissipation occurs, ...
arxiv topic:cond-mat.quant-gas
arxiv_dataset-148412106.06336
Connection between Phantom and Spatial Correlation in the Kolmogorov-Johnson-Mehl-Avrami-model: A brief review cond-mat.stat-mech The goal of this minireview is restricted to describe how the Kolmogorov-Johnson-Mehl-Avrami model has evolved from its birth up to the present day. The model, which dates back to the ...
arxiv topic:cond-mat.stat-mech
arxiv_dataset-148422106.06436
Finding the Contextual Gap Towards Employee Engagement in Financial Sector: A Review Study econ.GN q-fin.EC This review paper identifies the core evidence of research on employee engagement , considering a stern challenge facing the financial sector nowadays. The study highlights the noteworthy knowledge gaps tha...
arxiv topic:econ.GN q-fin.EC
arxiv_dataset-148432106.06536
Unsupervised Neural Hidden Markov Models with a Continuous latent state space cs.LG We introduce a new procedure to neuralize unsupervised Hidden Markov Models in the continuous case. This provides higher flexibility to solve problems with underlying latent variables. This approach is evaluated on both synthetic ...
arxiv topic:cs.LG
arxiv_dataset-148442106.06636
Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR cs.CL cs.SD eess.AS Simultaneous speech-to-text translation is widely useful in many scenarios. The conventional cascaded approach uses a pipeline of streaming ASR followed by simultaneous MT, but suffers from error propagation ...
arxiv topic:cs.CL cs.SD eess.AS
arxiv_dataset-148452106.06736
Multi-level Attention Fusion Network for Audio-visual Event Recognition cs.CV cs.MM Event classification is inherently sequential and multimodal. Therefore, deep neural models need to dynamically focus on the most relevant time window and/or modality of a video. In this study, we propose the Multi-level Attention F...
arxiv topic:cs.CV cs.MM
arxiv_dataset-148462106.06836
Cox Models for Vehicular Networks: SIR Performance and Equivalence cs.NI cs.IT math.IT We introduce a general framework for the modeling and analysis of vehicular networks by defining street systems as random 1D subsets of $\mathbb{R}^{2}$. The street system, in turn, specifies the random intensity measure of a Cox...
arxiv topic:cs.NI cs.IT math.IT
arxiv_dataset-148472106.06936
Advantages of a semi-implicit scheme over a fully implicit scheme for Landau-Lifshitz-Gilbert equation physics.comp-ph Magnetization dynamics in magnetic materials is modeled by the Landau-Lifshitz-Gilbert (LLG) equation. In the LLG equation, the length of magnetization is conserved and the system energy is dissi...
arxiv topic:physics.comp-ph
arxiv_dataset-148482106.07036
Protein-Ligand Docking Surrogate Models: A SARS-CoV-2 Benchmark for Deep Learning Accelerated Virtual Screening q-bio.BM cs.LG We propose a benchmark to study surrogate model accuracy for protein-ligand docking. We share a dataset consisting of 200 million 3D complex structures and 2D structure scores across a co...
arxiv topic:q-bio.BM cs.LG
arxiv_dataset-148492106.07136
Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery cs.CV This paper reports a CPU-level real-time stereo matching method for surgical images (10 Hz on 640 * 480 image with a single core of i5-9400). The proposed method is built on the fast ''dense inverse search...
arxiv topic:cs.CV
arxiv_dataset-148502106.07236
Physical requirements for scaling up network-based biocomputation physics.bio-ph cs.ET The high energy consumption of electronic data processors, together with physical challenges limiting their further improvement, has triggered intensive interest in alternative computation paradigms. Here we focus on network-base...
arxiv topic:physics.bio-ph cs.ET
arxiv_dataset-148512106.07336
Entropy-Based Proofs of Combinatorial Results on Bipartite Graphs cs.IT math.CO math.IT This work considers new entropy-based proofs of some known, or otherwise refined, combinatorial bounds for bipartite graphs. These include upper bounds on the number of the independent sets, lower bounds on the minimal number of...
arxiv topic:cs.IT math.CO math.IT
arxiv_dataset-148522106.07436
Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify "Icing" Variability and Processes physics.geo-ph physics.ins-det Current climate shift has significant impacts on both quality and quantity of snow precipitation. This directly influences spatial variability of the snowp...
arxiv topic:physics.geo-ph physics.ins-det
arxiv_dataset-148532106.07536
Throughput Maximization Leveraging Just-Enough SNR Margin and Channel Spacing Optimization cs.NI eess.SP Flexible optical network is a promising technology to accommodate high-capacity demands in next-generation networks. To ensure uninterrupted communication, existing lightpath provisioning schemes are mainly do...
arxiv topic:cs.NI eess.SP
arxiv_dataset-148542106.07636
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data stat.ML cs.AI cs.LG stat.ME Modern kernel-based two-sample tests have shown great success in distinguishing complex, high-dimensional distributions with appropriate learned kernels. Previous work has demonstrated that this kernel learning proce...
arxiv topic:stat.ML cs.AI cs.LG stat.ME
arxiv_dataset-148552106.07736
Unique sparse decomposition of low rank matrices math.OC cs.LG cs.NA eess.SP math.NA The problem of finding the unique low dimensional decomposition of a given matrix has been a fundamental and recurrent problem in many areas. In this paper, we study the problem of seeking a unique decomposition of a low rank matri...
arxiv topic:math.OC cs.LG cs.NA eess.SP math.NA
arxiv_dataset-148562106.07836
Improved Regret Bounds for Online Submodular Maximization cs.LG math.OC stat.ML In this paper, we consider an online optimization problem over $T$ rounds where at each step $t\in[T]$, the algorithm chooses an action $x_t$ from the fixed convex and compact domain set $\mathcal{K}$. A utility function $f_t(\cdot)$ is...
arxiv topic:cs.LG math.OC stat.ML
arxiv_dataset-148572106.07936
Modeling morphology with Linear Discriminative Learning: considerations and design choices cs.CL This study addresses a series of methodological questions that arise when modeling inflectional morphology with Linear Discriminative Learning. Taking the semi-productive German noun system as example, we illustrate h...
arxiv topic:cs.CL
arxiv_dataset-148582106.08036
Measurement of the Iron Spectrum in Cosmic Rays from 10 GeV$/n$ to 2.0 TeV$/n$ with the Calorimetric Electron Telescope on the International Space Station astro-ph.HE The Calorimetric Electron Telescope (CALET), in operation on the International Space Station since 2015, collected a large sample of cosmic-ray i...
arxiv topic:astro-ph.HE
arxiv_dataset-148592106.08136
Einstein-Cartan cosmology and the high-redshift Universe physics.gen-ph The Hubble tension, known as a discrepancy between the local measurements vs. the CMB, SNe and galaxy clustering fits of the Hubble constant, the first measurement of the 21-centimeter high-redshift signal by EDGES, the high-redshift galaxy hal...
arxiv topic:physics.gen-ph
arxiv_dataset-148602106.08236
Light--like propagation of self--interacting Klein--Gordon fields in cosmology gr-qc It is showed that complex scalar fields with a self-interaction potential may propagate along null geodesics on flat Friedmann--Lema\^itre--Robertson--Walker universes with different time-dependent scale factors. This occurs prov...
arxiv topic:gr-qc
arxiv_dataset-148612106.08336
Low-luminosity galaxies in the early universe have observed sizes similar to star cluster complexes astro-ph.GA We compare the sizes and luminosities of faint $z=6$-8 galaxies magnified by the Hubble Frontier Fields (HFF) clusters with star-forming regions, as well as more evolved objects, in the nearby universe....
arxiv topic:astro-ph.GA
arxiv_dataset-148622106.08436
Thermodynamical and spectral phase transition for local diffeomorphisms in the circle math.DS It is known that all uniformly expanding dynamics have no phase transition with respect to H\"older continuous potentials. In this paper we show that given a local diffeomorphism $f$ on the circle, that is neither a unif...
arxiv topic:math.DS
arxiv_dataset-148632106.08536
Detection of Consonant Errors in Disordered Speech Based on Consonant-vowel Segment Embedding eess.AS cs.SD Speech sound disorder (SSD) refers to a type of developmental disorder in young children who encounter persistent difficulties in producing certain speech sounds at the expected age. Consonant errors are th...
arxiv topic:eess.AS cs.SD
arxiv_dataset-148642106.08636
Optimal Water-Filling Algorithm in Downlink Multi-Cluster NOMA Systems cs.IT eess.SP math.IT The key idea of power-domain non-orthogonal multiple access (NOMA) is to exploit the superposition coding (SC) combined with successive interference cancellation (SIC) technique (called SC-SIC) while reducing the receivers'...
arxiv topic:cs.IT eess.SP math.IT
arxiv_dataset-148652106.08736
Symplectic groups over noncommutative algebras math.DG math.RA We introduce the symplectic group $\mathrm{Sp}_2(A,\sigma)$ over a noncommutative algebra $A$ with an anti-involution $\sigma$. We realize several classical Lie groups as $\mathrm{Sp}_2$ over various noncommutative algebras, which provides new insights ...
arxiv topic:math.DG math.RA
arxiv_dataset-148662106.08836
Axion clouds may survive the perturbative tidal interaction over the early inspiral phase of black hole binaries gr-qc astro-ph.CO hep-ph Gravitational wave observation has the potential of probing ultralight bosonic fields such as axion. Axion forms a cloud around a rotating black hole (BH) by superradiant insta...
arxiv topic:gr-qc astro-ph.CO hep-ph
arxiv_dataset-148672106.08936
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video Coding eess.IV cs.CV cs.LG cs.MM The versatility of recent machine learning approaches makes them ideal for improvement of next generation video compression solutions. Unfortunately, these approaches typically bring ...
arxiv topic:eess.IV cs.CV cs.LG cs.MM
arxiv_dataset-148682106.09036
Fock-space anatomy of eigenstates across the many-body localisation transition cond-mat.dis-nn cond-mat.quant-gas cond-mat.stat-mech cond-mat.str-el quant-ph We explore the Fock-space structure of eigenstates across the many-body localisation (MBL) transition in a disordered, interacting quantum spin-1/2 chain. E...
arxiv topic:cond-mat.dis-nn cond-mat.quant-gas cond-mat.stat-mech cond-mat.str-el quant-ph
arxiv_dataset-148692106.09136
Binary classification with corrupted labels math.ST stat.ML stat.TH In a binary classification problem where the goal is to fit an accurate predictor, the presence of corrupted labels in the training data set may create an additional challenge. However, in settings where likelihood maximization is poorly behaved-fo...
arxiv topic:math.ST stat.ML stat.TH
arxiv_dataset-148702106.09236
Efficient Conformer with Prob-Sparse Attention Mechanism for End-to-EndSpeech Recognition cs.SD eess.AS End-to-end models are favored in automatic speech recognition (ASR) because of their simplified system structure and superior performance. Among these models, Transformer and Conformer have achieved state-of-th...
arxiv topic:cs.SD eess.AS
arxiv_dataset-148712106.09336
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers cs.CV We present THUNDR, a transformer-based deep neural network methodology to reconstruct the 3d pose and shape of people, given monocular RGB images. Key to our methodology is an intermediate 3d marker representation, where we aim to combine the pred...
arxiv topic:cs.CV
arxiv_dataset-148722106.09436
Semi-Autoregressive Transformer for Image Captioning cs.CV Current state-of-the-art image captioning models adopt autoregressive decoders, \ie they generate each word by conditioning on previously generated words, which leads to heavy latency during inference. To tackle this issue, non-autoregressive image captioni...
arxiv topic:cs.CV
arxiv_dataset-148732106.09536
Single Event Transient Fault Analysis of ELEPHANT cipher cs.CR cs.AR In this paper, we propose a novel fault attack termed as Single Event Transient Fault Analysis (SETFA) attack, which is well suited for hardware implementations. The proposed approach pinpoints hotspots in the cypher's Sbox combinational logic cir...
arxiv topic:cs.CR cs.AR
arxiv_dataset-148742106.09636
Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification cs.LG Multivariable time series classification problems are increasing in prevalence and complexity in a variety of domains, such as biology and finance. While deep learning methods are an effective tool for these problems, ...
arxiv topic:cs.LG
arxiv_dataset-148752106.09736
Effect of field dissipation and cooling on the mass-radius relation of strongly magnetised white dwarfs astro-ph.SR astro-ph.HE We investigate the luminosity suppression and its effect on the mass-radius relation as well as cooling evolution of highly magnetised white dwarfs. Based on the effect of magnetic field...
arxiv topic:astro-ph.SR astro-ph.HE
arxiv_dataset-148762106.09836
RSK in last passage percolation: a unified approach math.PR math.CO We present a version of the RSK correspondence based on the Pitman transform and geometric considerations. This version unifies ordinary RSK, dual RSK and continuous RSK. We show that this version is both a bijection and an isometry, two crucial pr...
arxiv topic:math.PR math.CO
arxiv_dataset-148772106.09936
A Squeezed Vacuum State Laser with Zero Diffusion quant-ph We propose a method for building a squeezed vacuum state laser with zero diffusion, which results from the introduction of the reservoir engineering technique into the laser theory. As well as the reservoir engineering, our squeezed vacuum laser demands the...
arxiv topic:quant-ph
arxiv_dataset-148782106.10036
Electrical tuning of the spin-orbit interaction in nanowire by transparent ZnO gate grown by atomic layer deposition cond-mat.mes-hall cond-mat.mtrl-sci physics.app-ph We develop an InAs nanowire gate-all-around field-effect transistor using a transparent conductive zinc oxide (ZnO) gate electrode, which is in-si...
arxiv topic:cond-mat.mes-hall cond-mat.mtrl-sci physics.app-ph
arxiv_dataset-148792106.10136
The inconsistency of linear dynamics and Born's rule quant-ph cond-mat.str-el Modern experiments using nanoscale devices come ever closer to bridging the divide between the quantum and classical realms, bringing experimental tests of objective collapse theories that propose alterations to Schr\"{o}dinger's equation...
arxiv topic:quant-ph cond-mat.str-el
arxiv_dataset-148802106.10236
Efficient Black-Box Importance Sampling for VaR and CVaR Estimation q-fin.RM cs.LG math.PR stat.AP stat.ML This paper considers Importance Sampling (IS) for the estimation of tail risks of a loss defined in terms of a sophisticated object such as a machine learning feature map or a mixed integer linear optimisation...
arxiv topic:q-fin.RM cs.LG math.PR stat.AP stat.ML
arxiv_dataset-148812106.10336
Risk-Oriented Design Approach For Forensic-Ready Software Systems cs.CR cs.SE Digital forensic investigation is a complex and time-consuming activity in response to a cybersecurity incident or cybercrime to answer questions related to it. These typically are what happened, when, where, how, and who is responsible. ...
arxiv topic:cs.CR cs.SE
arxiv_dataset-148822106.10436
On spectral Petrov-Galerkin method for solving optimal control problem governed by a two-sided fractional diffusion equation math.NA cs.NA math.OC In this paper, we investigate a spectral Petrov-Galerkin method for an optimal control problem governed by a two-sided space-fractional diffusion-advection-reaction eq...
arxiv topic:math.NA cs.NA math.OC
arxiv_dataset-148832106.10536
Slow exponential growth representations of Sp(n, 1) at the edge of Cowling's strip math.RT math.FA We obtain a slow exponential growth estimate for the spherical principal series representation rho_s of Lie group Sp(n, 1) at the edge (Re(s)=1) of Cowling's strip (|Re(s)|<1) on the Sobolev space H^alpha(G/P) when ...
arxiv topic:math.RT math.FA
arxiv_dataset-148842106.10636
Cycles of paleomagnetic activity in the phanerozoic physics.geo-ph Quasi-periodic changes of the paleointensity and geomagnetic polarity in the intervals of 170 Ma to the present time and of 550 Ma to the present time were studied, respectively. It is revealed that the spectrum of the basic variations in the paleoi...
arxiv topic:physics.geo-ph
arxiv_dataset-148852106.10736
Circular orderability of 3-manifold groups math.GT math.GR This paper initiates the study of circular orderability of $3$-manifold groups, motivated by the L-space conjecture. We show that a compact, connected, $\mathbb{P}^2$-irreducible $3$-manifold has a circularly orderable fundamental group if and only if there...
arxiv topic:math.GT math.GR
arxiv_dataset-148862106.10836
Active Learning for Deep Neural Networks on Edge Devices cs.LG cs.CV cs.NI When dealing with deep neural network (DNN) applications on edge devices, continuously updating the model is important. Although updating a model with real incoming data is ideal, using all of them is not always feasible due to limits, such ...
arxiv topic:cs.LG cs.CV cs.NI
arxiv_dataset-148872106.10936
TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning cs.CV cs.CL Existing research for image captioning usually represents an image using a scene graph with low-level facts (objects and relations) and fails to capture the high-level semantics. In this paper, we propose a Theme Concepts ext...
arxiv topic:cs.CV cs.CL
arxiv_dataset-148882106.11036
Know Your Model (KYM): Increasing Trust in AI and Machine Learning cs.CY cs.AI cs.LG The widespread utilization of AI systems has drawn attention to the potential impacts of such systems on society. Of particular concern are the consequences that prediction errors may have on real-world scenarios, and the trust hum...
arxiv topic:cs.CY cs.AI cs.LG
arxiv_dataset-148892106.11136
Standardizing reverberation-measured Mg II time-lag quasars, by using the radius-luminosity relation, and constraining cosmological model parameters astro-ph.CO gr-qc hep-ph hep-th We use 78 reverberation-measured Mg II time-lag quasars (QSOs) in the redshift range $0.0033 \leq z \leq 1.89$ to constrain cosmolo...
arxiv topic:astro-ph.CO gr-qc hep-ph hep-th
arxiv_dataset-148902106.11236
Can poachers find animals from public camera trap images? cs.CV cs.AI q-bio.PE To protect the location of camera trap data containing sensitive, high-target species, many ecologists randomly obfuscate the latitude and longitude of the camera when publishing their data. For example, they may publish a random locatio...
arxiv topic:cs.CV cs.AI q-bio.PE
arxiv_dataset-148912106.11336
Storage Codes with Flexible Number of Nodes cs.IT math.IT This paper presents flexible storage codes, a class of error-correcting codes that can recover information from a flexible number of storage nodes. As a result, one can make a better use of the available storage nodes in the presence of unpredictable node fa...
arxiv topic:cs.IT math.IT
arxiv_dataset-148922106.11436
Quantum uncertainty as classical uncertainty of real-deterministic variables constructed from complex weak values and a global random variable quant-ph What does it take for real-deterministic c-valued (i.e., classical, commuting) variables to comply with the Heisenberg uncertainty principle? Here, we construct a...
arxiv topic:quant-ph
arxiv_dataset-148932106.11536
Deep3DPose: Realtime Reconstruction of Arbitrarily Posed Human Bodies from Single RGB Images cs.CV We introduce an approach that accurately reconstructs 3D human poses and detailed 3D full-body geometric models from single images in realtime. The key idea of our approach is a novel end-to-end multi-task deep lear...
arxiv topic:cs.CV
arxiv_dataset-148942106.11636
Aluminium storage using nitrogen-doped graphene nanoribbons from first principles cond-mat.mtrl-sci physics.app-ph physics.chem-ph Pristine graphene interacts relatively weakly with Al, which is a specie of importance for novel generations of metal-ion batteries. We employ DFT calculations to explore the possibil...
arxiv topic:cond-mat.mtrl-sci physics.app-ph physics.chem-ph
arxiv_dataset-148952106.11736
Quantum Nanophotonics in Two-Dimensional Materials physics.optics cond-mat.mes-hall quant-ph The field of 2D materials-based nanophotonics has been growing at a rapid pace, triggered by the ability to design nanophotonic systems with in situ control, unprecedented degrees of freedom, and to build material heterostr...
arxiv topic:physics.optics cond-mat.mes-hall quant-ph
arxiv_dataset-148962106.11836
Sharp $(H_p,L_p)$ and $(H_p,\text{weak}-L_p)$ type inequalities of weighted maximal operators of $T$ means with respect to Vilenkin systems math.CA We discuss $(H_p,L_p)$ and $(H_p,\text{weak}-L_p)$ type inequalities of weighted maximal operators of $T$ means with respect to the Vilenkin systems with monotone coe...
arxiv topic:math.CA
arxiv_dataset-148972106.11936
Sparsistent Model Discovery stat.ML cs.LG physics.comp-ph Discovering the partial differential equations underlying spatio-temporal datasets from very limited and highly noisy observations is of paramount interest in many scientific fields. However, it remains an open question to know when model discovery algorithm...
arxiv topic:stat.ML cs.LG physics.comp-ph
arxiv_dataset-148982106.12036
Effect of forward speed on the level-crossing distribution of kinematic variables in multidirectional ocean waves physics.ao-ph physics.flu-dyn The influence of forward speed on stochastic free-surface crossing, in a Gaussian wave field, is investigated. The case of a material point moving with a constant forward...
arxiv topic:physics.ao-ph physics.flu-dyn
arxiv_dataset-148992106.12136
2-LC triangulated manifolds are exponentially many math.CO math-ph math.GT math.MP We introduce "$t$-LC triangulated manifolds" as those triangulations obtainable from a tree of $d$-simplices by recursively identifying two boundary $(d-1)$-faces whose intersection has dimension at least $d-t-1$. The $t$-LC notion i...
arxiv topic:math.CO math-ph math.GT math.MP