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arxiv_dataset-180002303.00203
Joint Coverage Regions: Simultaneous Confidence and Prediction Sets stat.ME We introduce Joint Coverage Regions (JCRs), which unify confidence intervals and prediction regions in frequentist statistics. Specifically, joint coverage regions aim to cover a pair formed by an unknown fixed parameter (such as the mean o...
arxiv topic:stat.ME
arxiv_dataset-180012303.00303
The Inversive Relationship Between Bugs and Patches: An Empirical Study cs.SE Software bugs pose an ever-present concern for developers, and patching such bugs requires a considerable amount of costs through complex operations. In contrast, introducing bugs can be an effortless job, in that even a simple mutation c...
arxiv topic:cs.SE
arxiv_dataset-180022303.00403
Can representation learning for multimodal image registration be improved by supervision of intermediate layers? cs.CV cs.LG Multimodal imaging and correlative analysis typically require image alignment. Contrastive learning can generate representations of multimodal images, reducing the challenging task of multi...
arxiv topic:cs.CV cs.LG
arxiv_dataset-180032303.00503
All-genus WDVV recursion, quivers, and BPS invariants math.AG Let $X$ be a smooth projective surface and $D$ a smooth rational ample divisor in $X$. We prove an all-genus generalization of the genus $0$ WDVV equation for primary Gromov--Witten invariants of the local 3-fold $\mathcal{O}_X(-D)$. The proof relies on ...
arxiv topic:math.AG
arxiv_dataset-180042303.00603
Radio jet precession in M81* astro-ph.HE astro-ph.GA We report four novel position angle measurements of the core region of M81* at 5GHz and 8GHz, which confirm the presence of sinusoidal jet precession of the M81 jet region as suggested by \cite{Marti-Vidal2011}. The model makes three testable predictions on the e...
arxiv topic:astro-ph.HE astro-ph.GA
arxiv_dataset-180052303.00703
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis cs.CV Performances on standard 3D point cloud benchmarks have plateaued, resulting in oversized models and complex network design to make a fractional improvement. We present an alternative to enhance existing deep neural networks without any rede...
arxiv topic:cs.CV
arxiv_dataset-180062303.00803
Guidelines for the estimation and reporting of plasmid conjugation rates q-bio.PE Conjugation is a central characteristic of plasmid biology and an important mechanism of horizontal gene transfer in bacteria. However, there is little consensus on how to accurately estimate and report plasmid conjugation rates, in p...
arxiv topic:q-bio.PE
arxiv_dataset-180072303.00903
Subgap spectroscopy along hybrid nanowires by nm-thick tunnel barriers cond-mat.mes-hall cond-mat.supr-con quant-ph Tunneling spectroscopy is widely used to examine the subgap spectra in semiconductor-superconductor nanostructures when searching for Majorana zero modes (MZMs). Typically, semiconductor sections cont...
arxiv topic:cond-mat.mes-hall cond-mat.supr-con quant-ph
arxiv_dataset-180082303.01003
Target Domain Data induces Negative Transfer in Mixed Domain Training with Disjoint Classes cs.LG cs.CV In practical scenarios, it is often the case that the available training data within the target domain only exist for a limited number of classes, with the remaining classes only available within surrogate doma...
arxiv topic:cs.LG cs.CV
arxiv_dataset-180092303.01103
Search for Two-neutrino Double-Beta Decay of $^{136}\rm Xe$ to the $0^+_1$ excited state of $^{136}\rm Ba$ with the Complete EXO-200 Dataset hep-ex nucl-ex A new search for two-neutrino double-beta ($2\nu\beta\beta$) decay of $^{136}\rm Xe$ to the $0^+_1$ excited state of $^{136}\rm Ba$ is performed with the full...
arxiv topic:hep-ex nucl-ex
arxiv_dataset-180102303.01203
Insight-HXMT and GECAM-C observations of the brightest-of-all-time GRB 221009A astro-ph.HE GRB 221009A is the brightest gamma-ray burst ever detected since the discovery of this kind of energetic explosions. However, an accurate measurement of the prompt emission properties of this burst is very challenging due t...
arxiv topic:astro-ph.HE
arxiv_dataset-180112303.01303
D{\'e}monstration d'une conjecture de Kruyswijk et Meijer sur le plus petit d{\'e}nominateur des nombres rationnels d'un intervalle math.NT The average value of the smallest denominator of a rational number belonging to the interval $](j-1)/N,j/N]$, where~$j=1,\dots, N$, is proved to be asymptotically equivalent ...
arxiv topic:math.NT
arxiv_dataset-180122303.01403
iART: Learning from Demonstration for Assisted Robotic Therapy Using LSTM cs.RO cs.AI In this paper, we present an intelligent Assistant for Robotic Therapy (iART), that provides robotic assistance during 3D trajectory tracking tasks. We propose a novel LSTM-based robot learning from demonstration (LfD) paradigm ...
arxiv topic:cs.RO cs.AI
arxiv_dataset-180132303.01503
FeatAug-DETR: Enriching One-to-Many Matching for DETRs with Feature Augmentation cs.CV One-to-one matching is a crucial design in DETR-like object detection frameworks. It enables the DETR to perform end-to-end detection. However, it also faces challenges of lacking positive sample supervision and slow convergenc...
arxiv topic:cs.CV
arxiv_dataset-180142303.01603
Anharmonic Fluctuations Govern the Band Gap of Halide Perovskites cond-mat.mtrl-sci We determine the impact of anharmonic thermal vibrations on the fundamental band gap of CsPbBr$_3$, a prototypical model system for the broader class of halide perovskite semiconductors. Through first-principles molecular dynamics a...
arxiv topic:cond-mat.mtrl-sci
arxiv_dataset-180152303.01703
Spin- and orbital-angular-momentum nonlinear optical selectivity of single-mode nanolasers physics.optics Selective control of light is essential for optical science and technology with numerous applications. Nanophotonic waveguides and integrated couplers have been developed to achieve selective coupling and spa...
arxiv topic:physics.optics
arxiv_dataset-180162303.01803
Confidence-driven Bounding Box Localization for Small Object Detection cs.CV Despite advancements in generic object detection, there remains a performance gap in detecting small objects compared to normal-scale objects. We for the first time observe that existing bounding box regression methods tend to produce dist...
arxiv topic:cs.CV
arxiv_dataset-180172303.01903
Prophet: Prompting Large Language Models with Complementary Answer Heuristics for Knowledge-based Visual Question Answering cs.CV cs.CL cs.LG Knowledge-based visual question answering (VQA) requires external knowledge beyond the image to answer the question. Early studies retrieve required knowledge from explicit...
arxiv topic:cs.CV cs.CL cs.LG
arxiv_dataset-180182303.02003
Mean-field criticality explained by random matrices theory cond-mat.stat-mech How a system initially at infinite temperature responds when suddenly placed at finite temperatures is a way to check the existence of phase transitions. It has been shown in [R. da Silva, IJMPC 2023] that phase transitions are imprinted ...
arxiv topic:cond-mat.stat-mech
arxiv_dataset-180192303.02103
Physical non-viability of a wide class of $f(R)$ models and their constant-curvature solutions gr-qc astro-ph.CO Constant-curvature solutions lie at the very core of gravitational physics, with Schwarzschild and (Anti)-de Sitter being two of the most paradigmatic examples. Although such kind of solutions are very...
arxiv topic:gr-qc astro-ph.CO
arxiv_dataset-180202303.02203
X$^3$KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection cs.CV cs.RO Recent advances in 3D object detection (3DOD) have obtained remarkably strong results for LiDAR-based models. In contrast, surround-view 3DOD models based on multiple camera images underperform due...
arxiv topic:cs.CV cs.RO
arxiv_dataset-180212303.02303
Electricity Virtual Bidding Strategy Via Entropy-Regularized Stochastic Control Method q-fin.PM We propose a virtual bidding strategy by modeling the price differences between the day-ahead market and the real-time market as Brownian motion with drift, where the drift rate and volatility are functions of meteorol...
arxiv topic:q-fin.PM
arxiv_dataset-180222303.02403
Discussion of Martingale Posterior Distributions stat.ME I briefly discuss the Martingale Posteriors Distributions paper by Edwing Hong, Chris Holmes and Stephen G. Walker
arxiv topic:stat.ME
arxiv_dataset-180232303.02503
Zero-Effort Two-Factor Authentication Using Wi-Fi Radio Wave Transmission and Machine Learning cs.CR cs.LG The proliferation of sensitive information being stored online highlights the pressing need for secure and efficient user authentication methods. To address this issue, this paper presents a novel zero-effor...
arxiv topic:cs.CR cs.LG
arxiv_dataset-180242303.02603
Homotopy Cardinality via Extrapolation of Morava-Euler Characteristics math.AT We answer a question of John Baez, on the relationship between the classical Euler characteristic and the Baez-Dolan homotopy cardinality, by constructing a unique additive common generalization after restriction to an odd prime p. This ...
arxiv topic:math.AT
arxiv_dataset-180252303.02703
Pseudo-observation of spiral galaxies in the radio band to verify depolarization models astro-ph.GA Studies of the three-dimensional (3D) structures of galactic magnetic fields are now entering a new era, with broadband, highly sensitive radio observations and new analysis methods. To reveal the magnetic field co...
arxiv topic:astro-ph.GA
arxiv_dataset-180262303.02803
The characteristics of the meandering effect in a stratified wake physics.flu-dyn The gradual suppression of the vertical motions and the emergence of large-scale horizontal structures are characteristics of a stratified wake flow. We isolate the resulting wake meandering from the stationary velocity, i.e., the vel...
arxiv topic:physics.flu-dyn
arxiv_dataset-180272303.02903
Monolithic Platform for Integrated Quantum Photonics with Hexagonal Boron Nitride physics.optics physics.app-ph Integrated quantum photonics (IQP) provides a path to practical, scalable quantum computation, communications and information processing. Realization of an IQP platform requires integration of quantum e...
arxiv topic:physics.optics physics.app-ph
arxiv_dataset-180282303.03003
Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features cs.CV Existing neural radiance fields (NeRF) methods for large-scale scene modeling require days of training using multiple GPUs, hindering their applications in scenarios with limited computing resources. Despite ...
arxiv topic:cs.CV
arxiv_dataset-180292303.03103
Towards Zero-Shot Functional Compositionality of Language Models cs.CL cs.AI Large Pre-trained Language Models (PLM) have become the most desirable starting point in the field of NLP, as they have become remarkably good at solving many individual tasks. Despite such success, in this paper, we argue that current par...
arxiv topic:cs.CL cs.AI
arxiv_dataset-180302303.03203
Linear dynamics of an operator associated to the Collatz map math.FA In this paper, we study the dynamics of an operator $\mathcal T$ naturally associated to the so-called Collatz map, which maps an integer $n \geq 0$ to $n / 2$ if $n$ is even and $3n + 1$ if $n$ is odd. This operator $\mathcal T$ is defined on cer...
arxiv topic:math.FA
arxiv_dataset-180312303.03303
Social herding in mean field games econ.GN cs.SY eess.SY q-fin.EC In this paper, we consider a mean field model of social behavior where there are an infinite number of players, each of whom observes a type privately that represents her preference, and publicly observes a mean field state of types and actions of th...
arxiv topic:econ.GN cs.SY eess.SY q-fin.EC
arxiv_dataset-180322303.03403
DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets cs.LG Microstructure reconstruction is an important and emerging field of research and an essential foundation to improving inverse computational materials engineering (ICME). Much of the recent progress i...
arxiv topic:cs.LG
arxiv_dataset-180332303.03503
Going Beyond the Cumulant Approximation II:Power Series Correction to Single Particle Green's Function in 1D Holstein Chain cond-mat.mtrl-sci cond-mat.other cond-mat.stat-mech Previously, we introduced a method for systematically correcting a quasiparticle green's function via a power series expansion. Here we pr...
arxiv topic:cond-mat.mtrl-sci cond-mat.other cond-mat.stat-mech
arxiv_dataset-180342303.03603
Rapid measurement of the net charge on a nanoparticle in an optical levitation system physics.app-ph The accurate measurement of the net charge on a nanoparticle is critical in both the research and application of nanoparticles. Particularly, in the field of precision sensing based on optically levitated nanopart...
arxiv topic:physics.app-ph
arxiv_dataset-180352303.03703
Geometry-based spherical JND modeling for 360$^\circ$ display eess.IV 360$^\circ$ videos have received widespread attention due to its realistic and immersive experiences for users. To date, how to accurately model the user perceptions on 360$^\circ$ display is still a challenging issue. In this paper, we exploit t...
arxiv topic:eess.IV
arxiv_dataset-180362303.03803
On small non-uniform hypergraphs without property B math.CO For a given hypergraph $H = (V,E)$ consider the sum $q(H)$ of $2^{-|e|}$ over $e \in E$. Consider the class of hypergraphs with the smallest edge of size $n$ and without a 2-colouring without monochromatic edges. Let $q(n)$ be the smallest value of $q(H)$ ...
arxiv topic:math.CO
arxiv_dataset-180372303.03903
Proprioceptive Sensor-Based Simultaneous Multi-Contact Point Localization and Force Identification for Robotic Arms cs.RO In this paper, we propose an algorithm that estimates contact point and force simultaneously. We consider a collaborative robot equipped with proprioceptive sensors, in particular, joint torqu...
arxiv topic:cs.RO
arxiv_dataset-180382303.04003
Near-Field Communications: What Will Be Different? cs.IT eess.SP math.IT The design dilemma of "What will be different between near-field communications (NFC) and far-field communications (FFC)?" is addressed from four perspectives. 1) From the channel modelling perspective, the differences between near-field and f...
arxiv topic:cs.IT eess.SP math.IT
arxiv_dataset-180392303.04103
A Step Toward Deep Online Aggregation (Extended Version) cs.DB For exploratory data analysis, it is often desirable to know what answers you are likely to get before actually obtaining those answers. This can potentially be achieved by designing systems to offer the estimates of a data operation result -- say op(da...
arxiv topic:cs.DB
arxiv_dataset-180402303.04203
Toward a Geometric Theory of Manifold Untangling cs.LG cs.CV It has been hypothesized that the ventral stream processing for object recognition is based on a mechanism called cortically local subspace untangling. A mathematical abstraction of object recognition by the visual cortex is how to untangle the manifolds ...
arxiv topic:cs.LG cs.CV
arxiv_dataset-180412303.04303
The Cosmology of David Bohm: Scientific and Theological Significance physics.hist-ph We discuss David Bohm's dual contributions as a physicist and thinker. First, de Grijs introduces Bohm's universe, with an emphasis on the physical quest that led Bohm to the elaboration of an original cosmology at the nexus of sci...
arxiv topic:physics.hist-ph
arxiv_dataset-180422303.04403
Wind to start the washing machine? High-Resolution Wind Atlas for Finland math.NA cs.NA The current fossil fuel and climate crisis has led to an increased demand for renewable energy sources, such as wind power. In northern Europe, the efficient use of wind power is crucial for achieving carbon neutrality. To ass...
arxiv topic:math.NA cs.NA
arxiv_dataset-180432303.04503
An Optimal Energy Management Algorithm Considering Regenerative Braking and Renewable Energy for EV Charging in Railway Stations eess.SY cs.SY This paper proposes a novel optimal Energy Management System (EMS) algorithm for Electric Vehicle (EV) charging in smart electric railway stations with renewable generatio...
arxiv topic:eess.SY cs.SY
arxiv_dataset-180442303.04603
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement eess.IV cs.CV The quality of a fundus image can be compromised by numerous factors, many of which are challenging to be appropriately and mathematically modeled. In this paper, we introduce a novel diffusion model based framewor...
arxiv topic:eess.IV cs.CV
arxiv_dataset-180452303.04703
Asymptotically-consistent analytical solutions for the non-Newtonian Sakiadis boundary layer physics.flu-dyn math-ph math.MP The Sakiadis boundary layer induced by a moving wall in a semi-infinite fluid domain is a fundamental laminar flow field relevant to high speed coating processes. This work provides an anal...
arxiv topic:physics.flu-dyn math-ph math.MP
arxiv_dataset-180462303.04803
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models cs.CV We present ODISE: Open-vocabulary DIffusion-based panoptic SEgmentation, which unifies pre-trained text-image diffusion and discriminative models to perform open-vocabulary panoptic segmentation. Text-to-image diffusion models have th...
arxiv topic:cs.CV
arxiv_dataset-180472303.04903
Topological electromagnetic waves in dispersive and lossy plasma crystals physics.optics physics.plasm-ph Topological photonic crystals, which offer topologically protected and back-scattering-immune transport channels, have recently gained significant attention for both scientific and practical reasons. Although...
arxiv topic:physics.optics physics.plasm-ph
arxiv_dataset-180482303.05003
Energy regularized models for logarithmic SPDEs and their numerical approximations math.NA cs.NA Understanding the properties of the stochastic phase field models is crucial to model processes in several practical applications, such as soft matters and phase separation in random environments. To describe such ran...
arxiv topic:math.NA cs.NA
arxiv_dataset-180492303.05103
Algorithmic neutrality cs.CY cs.IR Algorithms wield increasing control over our lives: over the jobs we get, the loans we're granted, the information we see online. Algorithms can and often do wield their power in a biased way, and much work has been devoted to algorithmic bias. In contrast, algorithmic neutrality ...
arxiv topic:cs.CY cs.IR
arxiv_dataset-180502303.05203
RMMDet: Road-Side Multitype and Multigroup Sensor Detection System for Autonomous Driving cs.RO cs.AI cs.SY eess.SY Autonomous driving has now made great strides thanks to artificial intelligence, and numerous advanced methods have been proposed for vehicle end target detection, including single sensor or multi s...
arxiv topic:cs.RO cs.AI cs.SY eess.SY
arxiv_dataset-180512303.05303
Graphene on quartz modified with rhenium oxide as a semitransparent electrode for organic electronic physics.app-ph cond-mat.mtrl-sci Our research shows that commercially available graphene on quartz modified with rhenium oxide meets the requirements for its use as a conductive and transparent anode in optoelectr...
arxiv topic:physics.app-ph cond-mat.mtrl-sci
arxiv_dataset-180522303.05403
Making ghost vortices visible in two-component Bose-Einstein condensates cond-mat.quant-gas Ghost vortices constitute an elusive class of topological excitations in quantum fluids since the relevant phase singularities fall within regions where the superfluid density is almost zero. Here we present a platform that ...
arxiv topic:cond-mat.quant-gas
arxiv_dataset-180532303.05503
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision cs.CV cs.AI cs.LG Many top-down architectures for instance segmentation achieve significant success when trained and tested on pre-defined closed-world taxonomy. However, when deployed in the open world, they exhibit notable bias towar...
arxiv topic:cs.CV cs.AI cs.LG
arxiv_dataset-180542303.05603
The Influence of the Galactic Bar on the Dynamics of Globular Clusters astro-ph.GA We make use of recent estimates for the parameters of the Milky Way's halo globular clusters and study the influence of the galactic bar on the dynamics of these clusters by computing their orbits. We use both an axisymmetric and non...
arxiv topic:astro-ph.GA
arxiv_dataset-180552303.05703
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field cs.CV cs.GR We present MovingParts, a NeRF-based method for dynamic scene reconstruction and part discovery. We consider motion as an important cue for identifying parts, that all particles on the same part share the common motion pattern. From t...
arxiv topic:cs.CV cs.GR
arxiv_dataset-180562303.05803
Generalizations of the Erd\H{o}s-Kac Theorem and the Prime Number Theorem math.NT math.DS In this paper, we study the linear independence between the distribution of the number of prime factors of integers and that of the largest prime factors of integers. Respectively, under a restriction on the largest prime fa...
arxiv topic:math.NT math.DS
arxiv_dataset-180572303.05903
Fields of Definition of Components of Hurwitz Spaces math.NT For a fixed finite group $G$, we study the fields of definition of geometrically irreducible components of Hurwitz moduli schemes of marked branched $G$-covers of the projective line. The main focus is on determining whether components obtained by "gluing...
arxiv topic:math.NT
arxiv_dataset-180582303.06003
The binary actions of alternating groups math.GR Given a conjugacy class $\mathcal{C}$ in a group $G$ we define a new graph, $\Gamma(\mathcal{C})$, whose vertices are elements of $\mathcal{C}$; two vertices $g,h\in \mathcal{C}$ are connected in $\Gamma(\mathcal{C})$ if $[g,h]=1$ and either $gh^{-1}$ or $hg^{-1}$ is...
arxiv topic:math.GR
arxiv_dataset-180592303.06103
Anomalously Abrupt Switching of Ferroelectric Wurtzites cond-mat.mtrl-sci Ferroelectric polarization switching is one common example of a process that occurs via nucleation and growth, and understanding switching kinetics is crucial for applications such as ferroelectric memory. Here we describe and interpret anoma...
arxiv topic:cond-mat.mtrl-sci
arxiv_dataset-180602303.06203
Real enumerative invariants relative to the anti-canonical divisor and their refinement math.AG We introduce new invariants of the projective plane (and, more generally, of certain toric surfaces) that arise from the appropriate enumeration of real elliptic curves. These invariants admit a refinement (according t...
arxiv topic:math.AG
arxiv_dataset-180612303.06303
The electronic structure of intrinsic magnetic topological insulator MnBi2Te4 quantum wires cond-mat.mes-hall The ferromagnetic and antiferromagnetic nanostructure are crucial for fundamental spintronics devices, motivated by its potential application in spintronics, we theoretically investigate the electronic st...
arxiv topic:cond-mat.mes-hall
arxiv_dataset-180622303.06403
Kagom\'e quantum oscillations in graphene superlattices cond-mat.mes-hall cond-mat.mtrl-sci Periodic systems feature the Hofstadter butterfly spectrum produced by Brown--Zak minibands of electrons formed when magnetic field flux through the lattice unit cell is commensurate with flux quantum and manifested by magne...
arxiv topic:cond-mat.mes-hall cond-mat.mtrl-sci
arxiv_dataset-180632303.06503
Semi-Quantitative Analysis and Serological Evidence of Hepatitis A Virus IgG Antibody among children in Rumuewhor, Emuoha, Rivers State, Nigeria q-bio.OT Hepatitis A virus (HAV) infection has been greatly reduced in most developed countries through the use of vaccine and improved hygienic conditions. However, the...
arxiv topic:q-bio.OT
arxiv_dataset-180642303.06603
Correlation between upstreamness and downstreamness in random global value chains stat.AP cond-mat.stat-mech econ.GN q-fin.EC q-fin.ST This paper is concerned with upstreamness and downstreamness of industries and countries. Upstreamness and downstreamness measure respectively the average distance of an industria...
arxiv topic:stat.AP cond-mat.stat-mech econ.GN q-fin.EC q-fin.ST
arxiv_dataset-180652303.06703
Near-field imaging of domain switching in in-operando VO$_{2}$ devices cond-mat.str-el cond-mat.mes-hall Experimental insight in the nanoscale dynamics underlying switching in novel memristive devices is limited owing to the scarcity of techniques that can probe the electronic structure of these devices. Scattering...
arxiv topic:cond-mat.str-el cond-mat.mes-hall
arxiv_dataset-180662303.06803
Energy flux and high-order statistics of hydrodynamic turbulence physics.flu-dyn nlin.CD We use the Dyson-Wyld diagrammatic technique to analyze the infinite series for the correlation functions of the velocity in the hydrodynamic turbulence. We demonstrate the fundamental role played by the triple correlator of th...
arxiv topic:physics.flu-dyn nlin.CD
arxiv_dataset-180672303.06903
Resource-efficient Direct Characterization of General Density Matrix quant-ph physics.optics Sequential weak measurements allow the direct extraction of individual density-matrix elements instead of globally reconstructing the whole density matrix, opening a new avenue for the characterization of quantum systems. N...
arxiv topic:quant-ph physics.optics
arxiv_dataset-180682303.07003
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems cs.CR cs.AI Nowadays, numerous applications incorporate machine learning (ML) algorithms due to their prominent achievements. However, many studies in the field of computer vision have shown that ML can b...
arxiv topic:cs.CR cs.AI
arxiv_dataset-180692303.07103
Could a Large Language Model be Conscious? cs.AI cs.CL cs.LG There has recently been widespread discussion of whether large language models might be sentient. Should we take this idea seriously? I will break down the strongest reasons for and against. Given mainstream assumptions in the science of consciousness, th...
arxiv topic:cs.AI cs.CL cs.LG
arxiv_dataset-180702303.07203
On the Robustness of Text Vectorizers cs.CL cs.LG stat.ML A fundamental issue in machine learning is the robustness of the model with respect to changes in the input. In natural language processing, models typically contain a first embedding layer, transforming a sequence of tokens into vector representations. Whil...
arxiv topic:cs.CL cs.LG stat.ML
arxiv_dataset-180712303.07303
Assembling Cartesian Harmonic Tensors physics.class-ph physics.comp-ph Cartesian harmonic tensors are completely symmetric traceless tensors in three dimensional space constructed from the direct product of unit vectors. They are useful in generating expressions for the angular coupling of spherical harmonics of di...
arxiv topic:physics.class-ph physics.comp-ph
arxiv_dataset-180722303.07403
Polar-VQA: Visual Question Answering on Remote Sensed Ice sheet Imagery from Polar Region cs.CV cs.AI For glaciologists, studying ice sheets from the polar regions is critical. With the advancement of deep learning techniques, we can now extract high-level information from the ice sheet data (e.g., estimating the...
arxiv topic:cs.CV cs.AI
arxiv_dataset-180732303.07503
Oscillon formation from preheating in asymmetric inflationary potentials astro-ph.CO gr-qc We investigate the possibility of oscillon formation during the preheating phase of asymmetric inflationary potentials. We analytically establish the existence of oscillon-like solutions for the Klein-Gordon equation for a po...
arxiv topic:astro-ph.CO gr-qc
arxiv_dataset-180742303.07603
Redrawing attendance boundaries to promote racial and ethnic diversity in elementary schools cs.CY cs.AI Most US school districts draw "attendance boundaries" to define catchment areas that assign students to schools near their homes, often recapitulating neighborhood demographic segregation in schools. Focusing ...
arxiv topic:cs.CY cs.AI
arxiv_dataset-180752303.07703
Test gravitational waves in sandwich wave background gr-qc The scattering of test fields by sandwich waves has been studied extensively. It has been found that for a variety of test fields, the energy of the scattered waves is amplified. In this paper, Scattering of test gravitational waves by sandwich waves are ca...
arxiv topic:gr-qc
arxiv_dataset-180762303.07803
Changes in mobility choices during the first wave of the COVID-19 pandemic: a comparison between Italy and Sweden physics.soc-ph cs.CY The spread of COVID-19 disease affected people's lives worldwide, particularly their travel behaviours and how they performed daily activities. During the first wave of the pandem...
arxiv topic:physics.soc-ph cs.CY
arxiv_dataset-180772303.07903
A Concentration-Based Approach for Optimizing the Estimation Performance in Stochastic Sensor Selection eess.SY cs.SY In this work, we consider a sensor selection drawn at random by a sampling with replacement policy for a linear time-invariant dynamical system subject to process and measurement noise. We employ ...
arxiv topic:eess.SY cs.SY
arxiv_dataset-180782303.08003
Multi-agent Attention Actor-Critic Algorithm for Load Balancing in Cellular Networks cs.AI cs.NI In cellular networks, User Equipment (UE) handoff from one Base Station (BS) to another, giving rise to the load balancing problem among the BSs. To address this problem, BSs can work collaboratively to deliver a smoo...
arxiv topic:cs.AI cs.NI
arxiv_dataset-180792303.08103
Multi-task Meta Label Correction for Time Series Prediction cs.LG cs.CE Time series classification faces two unavoidable problems. One is partial feature information and the other is poor label quality, which may affect model performance. To address the above issues, we create a label correction method to time seri...
arxiv topic:cs.LG cs.CE
arxiv_dataset-180802303.08203
Gene Expression Programming for Quantum Computing quant-ph cond-mat.str-el We introduce QuantumGEP, a scientific computer program that uses gene expression programming (GEP) to find a quantum circuit that either (i) maps a given set of input states to a given set of output states, or (ii) transforms a fixed initial...
arxiv topic:quant-ph cond-mat.str-el
arxiv_dataset-180812303.08303
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification cs.CV cs.LG Recently, deep learning has produced encouraging results for kidney stone classification using endoscope images. However, the shortage of annotated training data poses a severe problem in impro...
arxiv topic:cs.CV cs.LG
arxiv_dataset-180822303.08403
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision cs.LG cs.AI cs.CY Algorithmic fairness has become an important machine learning problem, especially for mission-critical Web applications. This work presents a self-supervised model, called DualFair, that c...
arxiv topic:cs.LG cs.AI cs.CY
arxiv_dataset-180832303.08503
Defining the sample designs for small area estimation stat.ME stat.AP The paper delineates a proper statistical setting for defining the sampling design for a small area estimation problem. This problem is often treated only via indirect estimation using the values of the variable of interest also from different ar...
arxiv topic:stat.ME stat.AP
arxiv_dataset-180842303.08603
Compatible Relative Open Books on Relative Contact Pairs via Generalized Square Bridge Diagrams math.GT Using square bridge position, Akbulut-Ozbagci and later Arikan gave algorithms both of which construct an explicit compatible open book decomposition on a closed contact $3$-manifold which results from a contac...
arxiv topic:math.GT
arxiv_dataset-180852303.08703
On the differential operators of odd order with PT-symmetric periodic matrix coefficients math.SP In this paper we investigate the spectrum of the differential operators generated by the ordinary differential expression of odd order with PT-symmertic periodic matrix coefficients
arxiv topic:math.SP
arxiv_dataset-180862303.08803
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources cs.DC cs.AI Applications that fuse machine learning and simulation can benefit from the use of multiple computing resources, with, for example, simulation codes running on highly parallel supercomputers and AI training a...
arxiv topic:cs.DC cs.AI
arxiv_dataset-180872303.08903
Algebraic Geometry codes in the sum-rank metric math.AG cs.IT math.IT We introduce the first geometric construction of codes in the sum-rank metric, which we called linearized Algebraic Geometry codes, using quotients of the ring of Ore polynomials with coefficients in the function field of an algebraic curve. We s...
arxiv topic:math.AG cs.IT math.IT
arxiv_dataset-180882303.09003
Integrated Design of Cooperative Area Coverage and Target Tracking with Multi-UAV System cs.MA cs.RO This paper systematically studies the cooperative area coverage and target tracking problem of multiple-unmanned aerial vehicles (multi-UAVs). The problem is solved by decomposing into three sub-problems: informat...
arxiv topic:cs.MA cs.RO
arxiv_dataset-180892303.09103
Machine learning based biomedical image processing for echocardiographic images eess.IV cs.CV cs.LG The popularity of Artificial intelligence and machine learning have prompted researchers to use it in the recent researches. The proposed method uses K-Nearest Neighbor (KNN) algorithm for segmentation of medical i...
arxiv topic:eess.IV cs.CV cs.LG
arxiv_dataset-180902303.09203
Mellin$-$Barnes Transformation for Two-Loop Master-Diagram hep-th In the paper, we obtain an expression for a two-loop master-diagram by using the Mellin$-$Barnes transformation. In the two-dimensional case we managed to factorize the answer and write it as a bilinear combination of hypergeometric functions ${}_3F_...
arxiv topic:hep-th
arxiv_dataset-180912303.09303
Cusps in $\mathbb{C}^3$ with prescribed ramification math.AG math.CO math.NT We study value semigroups associated to germs of maps $\mathbb{C} \rightarrow \mathbb{C}^3$ with fixed ramification profiles in a distinguished point. We then apply our analysis to deduce that Severi varieties of unicuspidal rational fixed...
arxiv topic:math.AG math.CO math.NT
arxiv_dataset-180922303.09403
Learning Feasibility Constraints for Control Barrier Functions math.OC cs.LG cs.SY eess.SY It has been shown that optimizing quadratic costs while stabilizing affine control systems to desired (sets of) states subject to state and control constraints can be reduced to a sequence of Quadratic Programs (QPs) by using...
arxiv topic:math.OC cs.LG cs.SY eess.SY
arxiv_dataset-180932303.09503
The Intel Neuromorphic DNS Challenge cs.NE A critical enabler for progress in neuromorphic computing research is the ability to transparently evaluate different neuromorphic solutions on important tasks and to compare them to state-of-the-art conventional solutions. The Intel Neuromorphic Deep Noise Suppression Cha...
arxiv topic:cs.NE
arxiv_dataset-180942303.09603
Rigorous Analytic Combinatorics in Several Variables in SageMath math.CO cs.SC We introduce the new sage_acsv package for the SageMath computer algebra system, allowing users to rigorously compute asymptotics for a large variety of multivariate sequences with rational generating functions. Using Sage's support for ...
arxiv topic:math.CO cs.SC
arxiv_dataset-180952303.09703
A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset cs.LG Anomalies refer to data points or events that deviate from normal and homogeneous events, which can include fraudulent activities, network infiltrations, equipment malfunctions, process changes, or other significan...
arxiv topic:cs.LG
arxiv_dataset-180962303.09803
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields q-bio.NC cs.CV eess.IV This paper presents a theory for how geometric image transformations can be handled by a first layer of linear receptive fields, in terms of true covariance pr...
arxiv topic:q-bio.NC cs.CV eess.IV
arxiv_dataset-180972303.09903
On the signless Laplacian spectrum of k-uniform hypergraphs math.CO Let $\mathcal{H}$ be a connected $k$-uniform hypergraph on $n$ vertices and $m$ hyperedges. In [A.~Banerjee, On the spectrum of hypergraph, Linear Algebra and its Application, 614(2021), 82--110], Anirban Banerjee introduced a new adjacency matrix ...
arxiv topic:math.CO
arxiv_dataset-180982303.10003
Accreting neutron stars: composition of the upper layers of the inner crust astro-ph.HE We model the nuclear evolution of an accreted matter as it sinks toward the stellar center, in order to find its composition and equation of state. To this aim, we developed a simplified reaction network that allows for redist...
arxiv topic:astro-ph.HE
arxiv_dataset-180992303.10103
Image comparison and scaling via nonlinear elasticity math.AP cs.CV A nonlinear elasticity model for comparing images is formulated and analyzed, in which optimal transformations between images are sought as minimizers of an integral functional. The existence of minimizers in a suitable class of homeomorphisms betw...
arxiv topic:math.AP cs.CV