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arxiv_dataset-160002202.01176
Epidemic Dreams: Dreaming about health during the COVID-19 pandemic cs.SI cs.CL cs.CY The continuity hypothesis of dreams suggests that the content of dreams is continuous with the dreamer's waking experiences. Given the unprecedented nature of the experiences during COVID-19, we studied the continuity hypothesis i...
arxiv topic:cs.SI cs.CL cs.CY
arxiv_dataset-160012202.01276
Maximum likelihood reconstruction of water Cherenkov events with deep generative neural networks hep-ex Large water Cherenkov detectors have shaped our current knowledge of neutrino physics and nucleon decay, and will continue to do so in the foreseeable future. These highly capable detectors allow for directiona...
arxiv topic:hep-ex
arxiv_dataset-160022202.01376
Cold Gas in Massive Galaxies as A Critical Test of Black Hole Feedback Models astro-ph.GA Black hole feedback has been widely implemented as the key recipe to quench star formation in massive galaxies in modern semi-analytic models and hydrodynamical simulations. As the theoretical details surrounding the accreti...
arxiv topic:astro-ph.GA
arxiv_dataset-160032202.01476
Long time self-modulation of nonlinear electromagnetic wave in two-dimensional cavity physics.optics The vacuum is expected to exhibit electromagnetic nonlinearity. We demonstrate the properties of nonlinear electromagnetic wave in a two-dimensional rectangular cavity by calculating the nonlinear correction for t...
arxiv topic:physics.optics
arxiv_dataset-160042202.01576
Formulating bulk viscosity for neutron star simulations astro-ph.HE gr-qc hep-ph nucl-th In order to extract the precise physical information encoded in the gravitational and electromagnetic signals from powerful neutron-star merger events, we need to include as much of the relevant physics as possible in our numer...
arxiv topic:astro-ph.HE gr-qc hep-ph nucl-th
arxiv_dataset-160052202.01676
Neutrino Astronomy with IMB, Kamiokande and Super Kamiokande astro-ph.HE hep-ex hep-th nucl-ex nucl-th Some of the earliest work on neutrino astronomy was accomplished by a class of underground detectors primarily designed for particle physics goals . These detectors used inexpensive water to obtain the large masse...
arxiv topic:astro-ph.HE hep-ex hep-th nucl-ex nucl-th
arxiv_dataset-160062202.01776
Gralmonium: Granular Aluminum Nano-Junction Fluxonium Qubit quant-ph cond-mat.supr-con Mesoscopic Josephson junctions (JJs), consisting of overlapping superconducting electrodes separated by a nanometer thin oxide layer, provide a precious source of nonlinearity for superconducting quantum circuits and are at the h...
arxiv topic:quant-ph cond-mat.supr-con
arxiv_dataset-160072202.01876
Sobolev Sampling of Free Energy Landscapes physics.comp-ph A family of fast sampling methods is introduced here for molecular simulations of systems having rugged free energy landscapes. The methods represent a generalization of a strategy consisting of adjusting a model for the free energy as a function of one- or...
arxiv topic:physics.comp-ph
arxiv_dataset-160082202.01976
Impact of spectral noise shape and correlations of laser beam jitter on acquiring optical links in space physics.ins-det physics.optics We investigate how the probability of acquiring an optical link between a scanning and a target spacecraft depends on the spectral shape, power and dimensionality of the beam jit...
arxiv topic:physics.ins-det physics.optics
arxiv_dataset-160092202.02076
Quantum Central Limit Theorems, Emergence of Classicality and Time-dependent Differential Entropy quant-ph math-ph math.MP We derive some Quantum Central Limit Theorems for expectation values of macroscopically coarse-grained observables, which are functions of coarse-grained hermitean operators. Thanks to the he...
arxiv topic:quant-ph math-ph math.MP
arxiv_dataset-160102202.02176
Impact of Dissipation on Universal Fluctuation Dynamics in Open Quantum Systems quant-ph cond-mat.quant-gas cond-mat.stat-mech Recent experimental and theoretical works have uncovered nontrivial quantum dynamics due to external dissipation. Using an exact numerical method and a renormalization-group-based analyti...
arxiv topic:quant-ph cond-mat.quant-gas cond-mat.stat-mech
arxiv_dataset-160112202.02276
Measuring Systemic Risk: Common Factor Exposures and Tail Dependence Effects q-fin.RM We model systemic risk using a common factor that accounts for market-wide shocks and a tail dependence factor that accounts for linkages among extreme stock returns. Specifically, our theoretical model allows for firm-specific ...
arxiv topic:q-fin.RM
arxiv_dataset-160122202.02376
Strong europium luminescence in lanthan-euripium-erbium-calcium-vanadate nanocrystals, the result of codoping optimization cond-mat.mtrl-sci Co-doped with calcium, europium and erbium ions lanthanum vanadate crystalline nanoparticles are synthesized and investigated with a goal to clarify the mechanisms of calciu...
arxiv topic:cond-mat.mtrl-sci
arxiv_dataset-160132202.02476
Semantic Similarity Computing Model Based on Multi Model Fine-Grained Nonlinear Fusion cs.CL Natural language processing (NLP) task has achieved excellent performance in many fields, including semantic understanding, automatic summarization, image recognition and so on. However, most of the neural network models ...
arxiv topic:cs.CL
arxiv_dataset-160142202.02576
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation cs.IR cs.LG Traditional recommendation models trained on observational interaction data have generated large impacts in a wide range of applications, it faces bias problems that cover users' true intent and thus deteriorate the recommend...
arxiv topic:cs.IR cs.LG
arxiv_dataset-160152202.02676
Autocorrelation, Wigner and Ambiguity Transforms on Polygons for Coherent Radiation Rendering cs.RO cs.GR eess.SP Simulating the radar illumination of large scenes generally relies on a geometric model of light transport which largely ignores prominent wave effects. This can be remedied through coherence ray-trac...
arxiv topic:cs.RO cs.GR eess.SP
arxiv_dataset-160162202.02776
Human rights, democracy, and the rule of law assurance framework for AI systems: A proposal cs.AI cs.CY cs.HC cs.LG Following on from the publication of its Feasibility Study in December 2020, the Council of Europe's Ad Hoc Committee on Artificial Intelligence (CAHAI) and its subgroups initiated efforts to formul...
arxiv topic:cs.AI cs.CY cs.HC cs.LG
arxiv_dataset-160172202.02876
Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation eess.SP cs.AI In this paper, a deep convolutional neural network-based symbol detection and demodulation is proposed for generalized frequency division multiplexing with index modulation (GFDM-IM) sche...
arxiv topic:eess.SP cs.AI
arxiv_dataset-160182202.02976
Measuring and Reducing Model Update Regression in Structured Prediction for NLP cs.CL cs.AI cs.LG Recent advance in deep learning has led to the rapid adoption of machine learning-based NLP models in a wide range of applications. Despite the continuous gain in accuracy, backward compatibility is also an important...
arxiv topic:cs.CL cs.AI cs.LG
arxiv_dataset-160192202.03076
AMS-02 antiprotons and dark matter: Trimmed hints and robust bounds hep-ph astro-ph.HE Based on 4 yr AMS-02 antiproton data, we present bounds on the dark matter (DM) annihilation cross section vs. mass for some representative final state channels. We use recent cosmic-ray propagation models, a realistic treatment ...
arxiv topic:hep-ph astro-ph.HE
arxiv_dataset-160202202.03176
Field-of-View IoU for Object Detection in 360{\deg} Images cs.CV 360{\deg} cameras have gained popularity over the last few years. In this paper, we propose two fundamental techniques -- Field-of-View IoU (FoV-IoU) and 360Augmentation for object detection in 360{\deg} images. Although most object detection neural n...
arxiv topic:cs.CV
arxiv_dataset-160212202.03276
Ransomware: Analysing the Impact on Windows Active Directory Domain Services cs.CR Ransomware has become an increasingly popular type of malware across the past decade and continues to rise in popularity due to its high profitability. Organisations and enterprises have become prime targets for ransomware as they ...
arxiv topic:cs.CR
arxiv_dataset-160222202.03376
Message Passing Neural PDE Solvers cs.LG cs.CV cs.NA math.NA The numerical solution of partial differential equations (PDEs) is difficult, having led to a century of research so far. Recently, there have been pushes to build neural--numerical hybrid solvers, which piggy-backs the modern trend towards fully end-to-e...
arxiv topic:cs.LG cs.CV cs.NA math.NA
arxiv_dataset-160232202.03476
Admissible extensions of subtheories of second order arithmetic math.LO In this paper we study admissible extensions of several theories T of reverse mathematics. The idea is that in such an extension the structure M = (N,S,\in) of the natural numbers N and collection of sets of natural numbers S has to obey the ax...
arxiv topic:math.LO
arxiv_dataset-160242202.03576
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations cs.LG cs.AI cs.CR cs.CV Owing much to the revolution of information technology, the recent progress of deep learning benefits incredibly from the vastly enhanced access to data available in various digital formats. H...
arxiv topic:cs.LG cs.AI cs.CR cs.CV
arxiv_dataset-160252202.03676
An Application of Singular Traces to Crystals and Percolation math-ph cond-mat.other math.FA math.MP quant-ph For a certain class of discrete metric spaces, we provide a formula for the density of states. This formula involves Dixmier traces and is proven using recent advances in operator theory. Various examples a...
arxiv topic:math-ph cond-mat.other math.FA math.MP quant-ph
arxiv_dataset-160262202.03776
Spin-Phonon Relaxation in Magnetic Molecules: Theory, Predictions and Insights cond-mat.mtrl-sci Magnetic molecules have played a central role in the development of magnetism and coordination chemistry and their study keeps leading innovation in cutting-edge scientific fields such as magnetic resonance, magnetism...
arxiv topic:cond-mat.mtrl-sci
arxiv_dataset-160272202.03876
Multilevel Delayed Acceptance MCMC stat.ME stat.CO We develop a novel Markov chain Monte Carlo (MCMC) method that exploits a hierarchy of models of increasing complexity to efficiently generate samples from an unnormalized target distribution. Broadly, the method rewrites the Multilevel MCMC approach of Dodwell et ...
arxiv topic:stat.ME stat.CO
arxiv_dataset-160282202.03976
Communication-Control Co-design in Wireless Edge Industrial Systems eess.SY cs.SY eess.SP We consider the problem of controlling a series of industrial systems, such as industrial robotics, in a factory environment over a shared wireless channel leveraging edge computing capabilities. The wireless control system mo...
arxiv topic:eess.SY cs.SY eess.SP
arxiv_dataset-160292202.04076
K-ST: A Formal Executable Semantics of the Structured Text Language for PLCs cs.PL cs.SE Programmable Logic Controllers (PLCs) are responsible for automating process control in many industrial systems (e.g. in manufacturing and public infrastructure), and thus it is critical to ensure that they operate correctly ...
arxiv topic:cs.PL cs.SE
arxiv_dataset-160302202.04176
Crime Hot-Spot Modeling via Topic Modeling and Relative Density Estimation cs.LG cs.CL cs.IR We present a method to capture groupings of similar calls and determine their relative spatial distribution from a collection of crime record narratives. We first obtain a topic distribution for each narrative, and then p...
arxiv topic:cs.LG cs.CL cs.IR
arxiv_dataset-160312202.04276
$\Xi$ hypernuclei $^{15}_{\Xi}$C, $^{12}_{\Xi}$Be and $\Xi N$ two-body interaction nucl-th We study the energy spectra of $\Xi$ hypernuclei $^{15}_{\Xi}$C and $^{12}_{\Xi}$Be with a relativistic mean field (RMF) model with meson exchange $\Xi N$ interactions. The RMF parameters are optimized to reproduce the aver...
arxiv topic:nucl-th
arxiv_dataset-160322202.04376
Improving short-term bike sharing demand forecast through an irregular convolutional neural network cs.AI As an important task for the management of bike sharing systems, accurate forecast of travel demand could facilitate dispatch and relocation of bicycles to improve user satisfaction. In recent years, many dee...
arxiv topic:cs.AI
arxiv_dataset-160332202.04476
Counting Kernels in Directed Graphs with Arbitrary Orientations cs.DM math.CO A kernel of a directed graph is a subset of vertices that is both independent and absorbing (every vertex not in the kernel has an out-neighbour in the kernel). Not all directed graphs contain kernels, and computing a kernel or deciding t...
arxiv topic:cs.DM math.CO
arxiv_dataset-160342202.04576
Every metric space of weight $\lambda=\lambda^{\aleph_0}$ admits a condensation onto a Banach space math.GN In this paper, we have proved that for each cardinal number $\lambda$ such that $\lambda=\lambda^{\aleph_0}$ a metric space of weight $\lambda$ admits a bijective continuous mapping onto a Banach space of w...
arxiv topic:math.GN
arxiv_dataset-160352202.04676
Connecting Galactic and extragalactic outflows: From the Cygnus-X cluster to active galaxies astro-ph.GA astro-ph.SR Molecular outflows are often detected originating from both protostellar and extragalactic sources. Studies of low-mass, isolated high-mass, and extragalactic sources reveal scaling relations conne...
arxiv topic:astro-ph.GA astro-ph.SR
arxiv_dataset-160362202.04776
Coherent photoproduction of the neutral pion and eta meson on the deuteron at incident energies below 1.15 GeV nucl-ex hep-ex nucl-th Coherent photoproduction of the neutral pion and eta meson on the deuteron, $\gamma{d}${$\to$}$\pi^0\eta{d}$, has been experimentally studied at incident photon energies ranging fr...
arxiv topic:nucl-ex hep-ex nucl-th
arxiv_dataset-160372202.04876
Distilling Hypernymy Relations from Language Models: On the Effectiveness of Zero-Shot Taxonomy Induction cs.CL cs.AI In this paper, we analyze zero-shot taxonomy learning methods which are based on distilling knowledge from language models via prompting and sentence scoring. We show that, despite their simplicit...
arxiv topic:cs.CL cs.AI
arxiv_dataset-160382202.04976
Fast Muon Tracking with Machine Learning Implemented in FPGA physics.ins-det In this work, we present a new approach for fast tracking on multiwire proportional chambers with neural networks. The tracking networks are developed and adapted for the first-level trigger at hadron collider experiments. We use Monte Car...
arxiv topic:physics.ins-det
arxiv_dataset-160392202.05076
Volterra equations driven by rough signals 3: Probabilistic construction of the Volterra rough path for fractional Brownian motions math.PR Based on the recent development of the framework of Volterra rough paths, we consider here the probabilistic construction of the Volterra rough path associated to the fractio...
arxiv topic:math.PR
arxiv_dataset-160402202.05176
Evaluating the impact of quarantine measures on COVID-19 spread q-bio.PE During the early stage of the COVID-19 pandemic, many countries implemented non-pharmaceutical interventions (NPIs) to control the transmission of SARS-CoV-2, the causative pathogen of COVID-19. Among those NPIs, quarantine measures were widel...
arxiv topic:q-bio.PE
arxiv_dataset-160412202.05276
Massive vector form factors to three loops hep-ph We compute the three-loop non-singlet corrections to the photon-quark form factors taking into account the full dependence on the virtuality of the photon and the quark mass. We combine the method of differential equations in an effective way with expansions around ...
arxiv topic:hep-ph
arxiv_dataset-160422202.05376
Development of a Scalable Quantum Memory Platform -- Materials Science of Erbium-Doped TiO$_2$ Thin Films on Silicon cond-mat.mtrl-sci physics.app-ph Rare-earth ions (REI) have emerged as an attractive candidate for solid-state qubits, particularly as a quantum memory. Their 4f-4f transitions are shielded by fill...
arxiv topic:cond-mat.mtrl-sci physics.app-ph
arxiv_dataset-160432202.05476
Physics-informed PointNet: A deep learning solver for steady-state incompressible flows and thermal fields on multiple sets of irregular geometries physics.flu-dyn physics.comp-ph We present a novel physics-informed deep learning framework for solving steady-state incompressible flow on multiple sets of irregul...
arxiv topic:physics.flu-dyn physics.comp-ph
arxiv_dataset-160442202.05576
Jarzyski's equality and Crooks' fluctuation theorem for general Markov chains with application to decision-making systems cond-mat.stat-mech math-ph math.MP We define common thermodynamic concepts purely within the framework of general Markov chains and derive Jarzynski's equality and Crooks' fluctuation theorem ...
arxiv topic:cond-mat.stat-mech math-ph math.MP
arxiv_dataset-160452202.05676
Deep artificial neural network for prediction of atrial fibrillation through the analysis of 12-leads standard ECG eess.SP cs.LG Atrial Fibrillation (AF) is a heart's arrhythmia which, despite being often asymptomatic, represents an important risk factor for stroke, therefore being able to predict AF at the elect...
arxiv topic:eess.SP cs.LG
arxiv_dataset-160462202.05776
Privately Estimating Graph Parameters in Sublinear time cs.DS cs.CR We initiate a systematic study of algorithms that are both differentially private and run in sublinear time for several problems in which the goal is to estimate natural graph parameters. Our main result is a differentially-private $(1+\rho)$-appro...
arxiv topic:cs.DS cs.CR
arxiv_dataset-160472202.05876
Group testing via residuation and partial geometries stat.OT cs.DM math.CO math.ST stat.TH The motivation for this paper comes from the ongoing SARS-CoV-2 Pandemic. Its goal is to present a previously neglected approach to non-adaptive group testing and describes it in terms of residuated pairs on partially ordered...
arxiv topic:stat.OT cs.DM math.CO math.ST stat.TH
arxiv_dataset-160482202.05976
High Spatial and Temporal Resolution NIR-IIb Gastrointestinal Imaging in Mice physics.med-ph physics.optics Conventional biomedical imaging modalities, including endoscopy, X-rays, and magnetic resonance, are invasive and cannot provide sufficient spatial and temporal resolutions for regular imaging of gastrointe...
arxiv topic:physics.med-ph physics.optics
arxiv_dataset-160492202.06076
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers cs.CV cs.LG When a clinician refers a patient for an imaging exam, they include the reason (e.g. relevant patient history, suspected disease) in the scan request; this appears as the indication field in the ...
arxiv topic:cs.CV cs.LG
arxiv_dataset-160502202.06176
Detection of tripartite entanglement based on principal basis matrix representations quant-ph We study the entanglement in tripartite quantum systems by using the principal basis matrix representations of density matrices. Using the Schmidt decomposition and local unitary transformation, we first convert the gene...
arxiv topic:quant-ph
arxiv_dataset-160512202.06276
Natural Image Stitching Using Depth Maps cs.CV Natural image stitching (NIS) aims to create one natural-looking mosaic from two overlapping images that capture the same 3D scene from different viewing positions. Challenges inevitably arise when the scene is non-planar and the camera baseline is wide, since parallax...
arxiv topic:cs.CV
arxiv_dataset-160522202.06376
An Approach for Non-Convex Uniformly Concave Structured Saddle Point Problem math.OC Recently, saddle point problems have received much attention due to their powerful modeling capability for a lot of problems from diverse domains. Applications of these problems occur in many applied areas, such as robust optimiz...
arxiv topic:math.OC
arxiv_dataset-160532202.06476
Modeling Intention, Emotion and External World in Dialogue Systems cs.CL cs.AI Intention, emotion and action are important elements in human activities. Modeling the interaction process between individuals by analyzing the relationships between these elements is a challenging task. However, previous work mainly foc...
arxiv topic:cs.CL cs.AI
arxiv_dataset-160542202.06576
Minimal Steklov eigenvalues on combinatorial graphs math.DG math.CO In this paper, we study extremal problems of Steklov eigenvalues on combinatorial graphs by extending Friedman's theory [Duke Math. J. 69 (1993), no. 3, 487--525] of nodal domains for Laplacian eigenfunctions to Steklov eigenfunctions, and solve an...
arxiv topic:math.DG math.CO
arxiv_dataset-160552202.06676
On the Computation of General Vector-valued Modular Forms math.NT We present and discuss an algorithm and its implementation that is capable of directly determining Fourier expansions of any vector-valued modular form of weight at least $2$ associated with representations whose kernel is a congruence subgroup. It c...
arxiv topic:math.NT
arxiv_dataset-160562202.06776
Aspect Based Sentiment Analysis Using Spectral Temporal Graph Neural Network cs.CL cs.LG The objective of Aspect Based Sentiment Analysis is to capture the sentiment of reviewers associated with different aspects. However, complexity of the review sentences, presence of double negation and specific usage of words...
arxiv topic:cs.CL cs.LG
arxiv_dataset-160572202.06876
A Graphical Approach For Brain Haemorrhage Segmentation eess.IV cs.CV cs.LG Haemorrhaging of the brain is the leading cause of death in people between the ages of 15 and 24 and the third leading cause of death in people older than that. Computed tomography (CT) is an imaging modality used to diagnose neurological e...
arxiv topic:eess.IV cs.CV cs.LG
arxiv_dataset-160582202.06976
Optimizing quantum circuits with Riemannian gradient flow quant-ph Variational quantum algorithms are a promising class of algorithms that can be performed on currently available quantum computers. In most settings, the free parameters of a variational circuit are optimized using a classical optimizer that updates ...
arxiv topic:quant-ph
arxiv_dataset-160592202.07076
Collimated versatile atomic beam source with alkali dispensers physics.atom-ph physics.app-ph physics.ins-det quant-ph Alkali metal dispensers have become an indispensable tool in the production of atomic vapors for magnetometry, alkali vapor cell clocks, and laser cooling experiments. A primary advantage of these ...
arxiv topic:physics.atom-ph physics.app-ph physics.ins-det quant-ph
arxiv_dataset-160602202.07176
DeepONet-Grid-UQ: A Trustworthy Deep Operator Framework for Predicting the Power Grid's Post-Fault Trajectories math.NA cs.LG cs.NA This paper proposes a new data-driven method for the reliable prediction of power system post-fault trajectories. The proposed method is based on the fundamentally new concept of Dee...
arxiv topic:math.NA cs.LG cs.NA
arxiv_dataset-160612202.07276
Explaining reaction coordinates of alanine dipeptide isomerization obtained from deep neural networks using Explainable Artificial Intelligence (XAI) physics.chem-ph cond-mat.soft A method for obtaining appropriate reaction coordinates is required to identify transition states distinguishing product and reactan...
arxiv topic:physics.chem-ph cond-mat.soft
arxiv_dataset-160622202.07376
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction cs.IR Motivated by the recent success of end-to-end deep neural models for ranking tasks, we present here a supervised end-to-end neural approach for query performance prediction (QPP). In contrast to unsupervis...
arxiv topic:cs.IR
arxiv_dataset-160632202.07476
MGCVAE: Multi-objective Inverse Design via Molecular Graph Conditional Variational Autoencoder cs.LG physics.chem-ph The ultimate goal of various fields is to directly generate molecules with desired properties, such as finding water-soluble molecules in drug development and finding molecules suitable for organic...
arxiv topic:cs.LG physics.chem-ph
arxiv_dataset-160642202.07576
Accuracy of Restricted Boltzmann Machines for the one-dimensional $J_1-J_2$ Heisenberg model cond-mat.str-el Neural networks have been recently proposed as variational wave functions for quantum many-body systems [G. Carleo and M. Troyer, Science 355, 602 (2017)]. In this work, we focus on a specific architecture...
arxiv topic:cond-mat.str-el
arxiv_dataset-160652202.07676
Signatures of a surviving helium-star companion in Type Ia supernovae and constraints on the progenitor companion of SN 2011fe astro-ph.SR astro-ph.HE Single-degenerate (SD) binary systems composed of a white dwarf and a non-degenerate helium (He)-star companion have been proposed as the potential progenitors of ...
arxiv topic:astro-ph.SR astro-ph.HE
arxiv_dataset-160662202.07776
Characterization of Multianode Photomultiplier Tubes for use in the CLAS12 RICH Detector physics.ins-det hep-ex nucl-ex We present results of the detailed study of several hundred Hamamatsu H12700 Multianode Photomultiplier Tubes (MaPMTs), characterizing their response to the Cherenkov light photons in the second...
arxiv topic:physics.ins-det hep-ex nucl-ex
arxiv_dataset-160672202.07876
Vector Bundles associated to Monads on Cartesian Products of Projective Spaces math.AG In this paper we construct vector bundles associated to monads on $X=\mathbb{P}^n\times\mathbb{P}^n\times\mathbb{P}^m\times\mathbb{P}^m$. We first establish the existence of such monads on $X$. Once the monads exist, the next n...
arxiv topic:math.AG
arxiv_dataset-160682202.07976
Extreme Value Theory for Hurwitz Complex Continued Fractions math.NT math.DS math.PR The Hurwitz complex continued fraction is a generalization of the nearest integer continued fraction. In this paper we prove various results concerning extremes of the modulus of Hurwitz complex continued fraction digits. This incl...
arxiv topic:math.NT math.DS math.PR
arxiv_dataset-160692202.08076
Bimorphic Floquet Topological Insulators physics.optics Topological theories have established a new set of rules that govern the transport properties in a wide variety of wave-mechanical settings. In a marked departure from the established approaches that induce Floquet topological phases by specifically tailored d...
arxiv topic:physics.optics
arxiv_dataset-160702202.08176
Bias and unfairness in machine learning models: a systematic literature review cs.LG cs.AI One of the difficulties of artificial intelligence is to ensure that model decisions are fair and free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and mitigate algorithmic unfairness...
arxiv topic:cs.LG cs.AI
arxiv_dataset-160712202.08276
Quantifying the cool ISM in radio AGNs: evidence for late-time re-triggering by galaxy mergers and interactions astro-ph.GA We use deep Herschel observations of the complete 2Jy sample of powerful radio AGNs in the local universe (0.05 < z < 0.7) to probe their cool interstellar medium (ISM) contents and star-for...
arxiv topic:astro-ph.GA
arxiv_dataset-160722202.08376
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity cs.LG cs.CV Although traditional optimization methods focus on finding a single optimal solution, most objective functions in modern machine learning problems, especially those in deep learning, often have multiple or infinite number...
arxiv topic:cs.LG cs.CV
arxiv_dataset-160732202.08476
High Precision QED Initial State Corrections for $e^+ e^- \rightarrow \gamma^*/Z^*$ Annihilation hep-ph The precise knowledge of the QED initial state corrections is of instrumental importance in studying high luminosity measurements in $e^+e^-$ annihilation at facilities like LEP, the International Linear Collid...
arxiv topic:hep-ph
arxiv_dataset-160742202.08576
Local Differential Privacy for Belief Functions cs.CR In this paper, we propose two new definitions of local differential privacy for belief functions. One is based on Shafer's semantics of randomly coded messages and the other from the perspective of imprecise probabilities. We show that such basic properties as c...
arxiv topic:cs.CR
arxiv_dataset-160752202.08676
Inclusive nonresonant multilepton probes of new phenomena at $\sqrt{s} =$ 13 TeV hep-ex An inclusive search for nonresonant signatures of beyond the standard model (SM) phenomena in events with three or more charged leptons, including hadronically decaying $\tau$ leptons, is presented. The analysis is based on a ...
arxiv topic:hep-ex
arxiv_dataset-160762202.08776
Machine Learning Approaches to Solar-Flare Forecasting: Is Complex Better? astro-ph.SR astro-ph.IM Recently, there has been growing interest in the use of machine-learning methods for predicting solar flares. Initial efforts along these lines employed comparatively simple models, correlating features extracted fr...
arxiv topic:astro-ph.SR astro-ph.IM
arxiv_dataset-160772202.08876
An alternative approach to train neural networks using monotone variational inequality stat.ML cs.LG We propose an alternative approach to neural network training using the monotone vector field, an idea inspired by the seminal work of Juditsky and Nemirovski [Juditsky & Nemirovsky, 2019] developed originally to ...
arxiv topic:stat.ML cs.LG
arxiv_dataset-160782202.08976
Minkowski tensor-based shape analysis methods on the sphere astro-ph.IM astro-ph.CO Recently, Minkowski Tensors (MT) have gained popularity for morphological analysis tasks. As opposed to the scalar Minkowski functionals (MF; in 2D given by area, perimeter and Euler characteristic), MT can characterize symmetry and...
arxiv topic:astro-ph.IM astro-ph.CO
arxiv_dataset-160792202.09076
Improving Test Automation Maturity: a Multivocal Literature Review cs.SE Mature test automation is key for achieving software quality at speed. In this paper, we present a multivocal literature review with the objective to survey and synthesize the guidelines given in the literature for improving test automation ma...
arxiv topic:cs.SE
arxiv_dataset-160802202.09176
Discrete Poisson hardcore 1D model and reinfections math.CO math.PR q-bio.PE We suggest a new hardcore Poisson-type distribution for Young diagrams with the row lengths from some finite list. A discrete variant of the time-ordered Mat\'{e}rn II process in 1D is employed. This approach is related to that based on th...
arxiv topic:math.CO math.PR q-bio.PE
arxiv_dataset-160812202.09276
Geometric Regularization from Overparameterization cs.LG The volume of the distribution of weight sets associated with a loss value may be the source of implicit regularization from overparameterization due to the phenomenon of contracting volume with increasing dimensions for geometric figures demonstrated by hype...
arxiv topic:cs.LG
arxiv_dataset-160822202.09376
Using Artificial Intelligence and real galaxy images to constrain parameters in galaxy formation simulations astro-ph.GA Cosmological galaxy formation simulations are still limited by their spatial/mass resolution and cannot model from first principles some of the processes, like star formation, that are key in d...
arxiv topic:astro-ph.GA
arxiv_dataset-160832202.09476
Mixing of Condensable Constituents with H-He During the Formation & Evolution of Jupiter astro-ph.EP astro-ph.SR Simulations of Jupiter's formation are presented that incorporate mixing of H-He with denser material entering the planet as solids. Heavy compounds and gas mix substantially when the planet becomes ro...
arxiv topic:astro-ph.EP astro-ph.SR
arxiv_dataset-160842202.09576
Routh-Hurwitz criterion of stability and robust stability for fractional-order systems with order {\alpha}{\in}[1,2) math.DS Based on the generalized Routh-Hurwitz criterion, we propose a sufficient and necessary criterion for testing the stability of fractional-order linear systems with order {\alpha}{\in}[1,2),...
arxiv topic:math.DS
arxiv_dataset-160852202.09676
Gabber rigidity in hermitian K-theory math.KT math.AT We note that Gabber's rigidity theorem for the algebraic K-theory of henselian pairs also holds true for hermitian K-theory with respect to arbitrary form parameters.
arxiv topic:math.KT math.AT
arxiv_dataset-160862202.09776
Towards a dichotomy for the Reidemeister zeta function math.GR math.AT math.DS We prove a dichotomy between rationality and a natural boundary for the analytic behavior of the Reidemeister zeta function for automorphisms of non-finitely generated torsion abelian groups and for endomorphisms of groups $\mathbb Z_p^d...
arxiv topic:math.GR math.AT math.DS
arxiv_dataset-160872202.09876
Performance Analysis of Optimally Coordinated Connected and Automated Vehicles in a Mixed Traffic Environment eess.SY cs.SY Trajectory planning of connected and automated vehicles (CAVs) poses significant challenges in a mixed traffic environment due to the presence of human-driven vehicles (HDVs). In this paper,...
arxiv topic:eess.SY cs.SY
arxiv_dataset-160882202.09976
Goal-directed Planning and Goal Understanding by Active Inference: Evaluation Through Simulated and Physical Robot Experiments cs.RO cs.AI We show that goal-directed action planning and generation in a teleological framework can be formulated using the free energy principle. The proposed model, which is built on ...
arxiv topic:cs.RO cs.AI
arxiv_dataset-160892202.10076
Model-independent classification of events from the first CHIME/FRB Fast Radio Burst catalog astro-ph.HE astro-ph.IM The CHIME/FRB collaboration has recently published a catalog containing about half a thousand fast radio bursts (FRBs) including their spectra and several reconstructed properties, like signal widt...
arxiv topic:astro-ph.HE astro-ph.IM
arxiv_dataset-160902202.10176
Twisted chiral superconductivity in photodoped frustrated Mott insulators cond-mat.str-el cond-mat.supr-con Recent advances in ultrafast pump-probe spectroscopy provide access to hidden phases of correlated matter, including light-induced superconducting states, but the theoretical understanding of these nonequil...
arxiv topic:cond-mat.str-el cond-mat.supr-con
arxiv_dataset-160912202.10276
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey cs.CR cs.AI Machine learning models have been widely adopted in several fields. However, most recent studies have shown several vulnerabilities from attacks with a potential to jeopardize the integrity of the model, presenting a new window of resea...
arxiv topic:cs.CR cs.AI
arxiv_dataset-160922202.10376
Same Cause; Different Effects in the Brain q-bio.NC cs.AI cs.LG cs.NE stat.AP To study information processing in the brain, neuroscientists manipulate experimental stimuli while recording participant brain activity. They can then use encoding models to find out which brain "zone" (e.g. which region of interest, vol...
arxiv topic:q-bio.NC cs.AI cs.LG cs.NE stat.AP
arxiv_dataset-160932202.10476
Cotton Double Copy for Gravitational Waves hep-th gr-qc We construct a double copy relation between the Cotton spinor and the dual field strength spinor of topologically massive theories, as the three-dimensional analogue of the Weyl double copy. The relationship holds in curved backgrounds for wave solutions. We g...
arxiv topic:hep-th gr-qc
arxiv_dataset-160942202.10576
Unveiling the Main Sequence to Starburst Transition Region with a Sample of Intermediate Redshift Luminous Infrared Galaxies astro-ph.GA We present a CO(3-2) study of four systems composed of six (ultra) luminous infrared galaxies (U/LIRGs), located at 0.28 < z < 0.44, that straddle the transition region between ...
arxiv topic:astro-ph.GA
arxiv_dataset-160952202.10676
Tracking the 3D evolution of a halo coronal mass ejection using the revised cone model astro-ph.SR This paper aims to track the 3D evolution of a full halo CME on 2011 June 21. The CME results from a non-radial eruption of a filament-carrying flux rope in NOAA active region 11236. The eruption is observed in EUV ...
arxiv topic:astro-ph.SR
arxiv_dataset-160962202.10776
XtraLibD: Detecting Irrelevant Third-Party libraries in Java and Python Applications cs.SE Software development comprises the use of multiple Third-Party Libraries (TPLs). However, the irrelevant libraries present in software application's distributable often lead to excessive consumption of resources such as CPU...
arxiv topic:cs.SE
arxiv_dataset-160972202.10876
Observation of rovibrationally coupled bi-modality and speed-dependent orientation in DEA dynamics of OCS: reveals partial correlations among point group symmetries physics.atom-ph physics.atm-clus Dissociative electron attachment (DEA) to gas-phase carbonyl sulfide (OCS) has been studied diligently using the t...
arxiv topic:physics.atom-ph physics.atm-clus
arxiv_dataset-160982202.10976
DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning cs.SD eess.AS Any-to-any voice conversion problem aims to convert voices for source and target speakers, which are out of the training data. Previous works wildly utilize the disentangle-based models. The disentangle-based model assume...
arxiv topic:cs.SD eess.AS
arxiv_dataset-160992202.11076
Topological Universality of the Art Gallery Problem cs.CG We prove that any compact semi-algebraic set is homeomorphic to the solution space of some art gallery problem. Previous works have established similar universality theorems, but holding only up to homotopy equivalence, rather than homeomorphism, and prior t...
arxiv topic:cs.CG