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arxiv_dataset-195002311.07033
TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction eess.IV cs.CV Survival prediction plays a crucial role in assisting clinicians with the development of cancer treatment protocols. Recent evidence shows that multimodal data can help in the diagnosis of cancer disease and improv...
arxiv topic:eess.IV cs.CV
arxiv_dataset-195012311.07133
Plane partitions and rowmotion on rectangular and trapezoidal posets math.CO We define a birational map between labelings of a rectangular poset and its associated trapezoidal poset. This map tropicalizes to a bijection between the plane partitions of these posets of fixed height, giving a new bijective proof of a ...
arxiv topic:math.CO
arxiv_dataset-195022311.07233
IASCAR: Incremental Answer Set Counting by Anytime Refinement cs.AI cs.LO Answer set programming (ASP) is a popular declarative programming paradigm with various applications. Programs can easily have many answer sets that cannot be enumerated in practice, but counting still allows quantifying solution spaces. If o...
arxiv topic:cs.AI cs.LO
arxiv_dataset-195032311.07333
Large $N_c$ QCD phase diagram at $\mu_B = 0$ hep-ph hep-lat hep-th nucl-th Lattice studies suggest that at zero baryon chemical potential and increasing temperature there are three characteristic regimes in QCD that are connected by smooth analytical crossovers: a hadron gas regime at T < T_ch ~ 155 MeV, an interme...
arxiv topic:hep-ph hep-lat hep-th nucl-th
arxiv_dataset-195042311.07433
Third order corrections to the ground state energy of a Bose gas in the Gross-Pitaevskii regime math-ph cond-mat.quant-gas math.AP math.MP For a translation invariant system of $N$ bosons in the Gross-Pitaevskii regime, we establish a precise bound for the ground state energy $E_N$. While the leading, order $N$, ...
arxiv topic:math-ph cond-mat.quant-gas math.AP math.MP
arxiv_dataset-195052311.07533
Transfer learning relaxation, electronic structure and continuum model for twisted bilayer MoTe$_2$ cond-mat.str-el Large-scale moir\'e systems are extraordinarily sensitive, with even minute atomic shifts leading to significant changes in electronic structures. Here, we investigate the lattice relaxation effect ...
arxiv topic:cond-mat.str-el
arxiv_dataset-195062311.07633
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime cs.LG cs.AI math.OC Predictive combinatorial optimization, where the parameters of combinatorial optimization (CO) are unknown at the decision-making time, is the precise modeling of many real-world applications, including energy...
arxiv topic:cs.LG cs.AI math.OC
arxiv_dataset-195072311.07733
Credible Intervals for Probability of Failure with Gaussian Processes stat.ME math.PR Efficiently approximating the probability of system failure has gained increasing importance as expensive simulations begin to play a larger role in reliability quantification tasks in areas such as structural design, power grid d...
arxiv topic:stat.ME math.PR
arxiv_dataset-195082311.07833
Toward Efficient and Incremental Spectral Clustering via Parametric Spectral Clustering cs.LG Spectral clustering is a popular method for effectively clustering nonlinearly separable data. However, computational limitations, memory requirements, and the inability to perform incremental learning challenge its wide...
arxiv topic:cs.LG
arxiv_dataset-195092311.07933
Self Dual Black Holes as the Hydrogen Atom hep-th astro-ph.HE gr-qc hep-ph math-ph math.MP Rotating black holes exhibit a remarkable set of hidden symmetries near their horizon. These hidden symmetries have been shown to determine phenomena such as absorption scattering, superradiance and more recently tidal deform...
arxiv topic:hep-th astro-ph.HE gr-qc hep-ph math-ph math.MP
arxiv_dataset-195102311.08033
Eccentricity-induced systematic error on parametrized tests of general relativity: Hierarchical Bayesian inference applied to a binary black hole population gr-qc astro-ph.HE One approach to testing general relativity (GR) introduces free parameters in the post-Newtonian (PN) expansion of the gravitational-wave...
arxiv topic:gr-qc astro-ph.HE
arxiv_dataset-195112311.08133
Exogenous-endogenous surfactant interaction yields heterogeneous spreading in complex branching networks physics.flu-dyn math-ph math.MP Experiments have shown that surfactant introduced to a liquid-filled maze can find the solution path. We reveal how the maze-solving dynamics arise from interactions between the...
arxiv topic:physics.flu-dyn math-ph math.MP
arxiv_dataset-195122311.08233
Conformal Tilings, Combinatorial Curvature, and the Type Problem math.CV math.CO math.MG Roughly, a conformal tiling of a Riemann surface is a tiling where each tile is a suitable conformal image of a Euclidean regular polygon. In 1997, Bowers and Stephenson constructed an edge-to-edge conformal tiling of the compl...
arxiv topic:math.CV math.CO math.MG
arxiv_dataset-195132311.08333
Calibration of an Elastic Humanoid Upper Body and Efficient Compensation for Motion Planning cs.RO High absolute accuracy is an essential prerequisite for a humanoid robot to autonomously and robustly perform manipulation tasks while avoiding obstacles. We present for the first time a kinematic model for a humano...
arxiv topic:cs.RO
arxiv_dataset-195142311.08433
Clinical Characteristics and Laboratory Biomarkers in ICU-admitted Septic Patients with and without Bacteremia q-bio.QM cs.LG stat.AP Few studies have investigated the diagnostic utilities of biomarkers for predicting bacteremia among septic patients admitted to intensive care units (ICU). Therefore, this study e...
arxiv topic:q-bio.QM cs.LG stat.AP
arxiv_dataset-195152311.08533
Natural Language Processing for Financial Regulation cs.CL cs.LG q-fin.CP This article provides an understanding of Natural Language Processing techniques in the framework of financial regulation, more specifically in order to perform semantic matching search between rules and policy when no dataset is available fo...
arxiv topic:cs.CL cs.LG q-fin.CP
arxiv_dataset-195162311.08633
Infrared thermochromic antenna composite for self-adaptive thermoregulation physics.optics cond-mat.mtrl-sci Self-adaptive thermoregulation, the mechanism living organisms use to balance their temperature, holds great promise for decarbonizing cooling and heating processes. The functionality can be effectively em...
arxiv topic:physics.optics cond-mat.mtrl-sci
arxiv_dataset-195172311.08733
Topological States Decorated by Twig Boundary in Plasma Photonic Crystals cond-mat.mes-hall physics.optics physics.plasm-ph quant-ph The twig edge states in graphene-like structures are viewed as the fourth states complementary to their zigzag, bearded, and armchair counterparts. In this work, we study a rod-in-p...
arxiv topic:cond-mat.mes-hall physics.optics physics.plasm-ph quant-ph
arxiv_dataset-195182311.08833
Phase retrieval with semi-algebraic and ReLU neural network priors eess.SP cs.IT math.IT The key ingredient to retrieving a signal from its Fourier magnitudes, namely, to solve the phase retrieval problem, is an effective prior on the sought signal. In this paper, we study the phase retrieval problem under the prio...
arxiv topic:eess.SP cs.IT math.IT
arxiv_dataset-195192311.08933
Design and Implementation of a Hybrid Wireless Power and Communication System for Medical Implants eess.SP cs.SY eess.SY Data collection and analysis from multiple implant nodes in humans can provide targeted medicine and treatment strategies that can prevent many chronic diseases. This data can be collected for ...
arxiv topic:eess.SP cs.SY eess.SY
arxiv_dataset-195202311.09033
MELA: Multilingual Evaluation of Linguistic Acceptability cs.CL cs.AI In this work, we present the largest benchmark to date on linguistic acceptability: Multilingual Evaluation of Linguistic Acceptability -- MELA, with 46K samples covering 10 languages from a diverse set of language families. We establish LLM base...
arxiv topic:cs.CL cs.AI
arxiv_dataset-195212311.09133
Explainable Text Classification Techniques in Legal Document Review: Locating Rationales without Using Human Annotated Training Text Snippets cs.IR US corporations regularly spend millions of dollars reviewing electronically-stored documents in legal matters. Recently, attorneys apply text classification to effic...
arxiv topic:cs.IR
arxiv_dataset-195222311.09233
Neural Packing: from Visual Sensing to Reinforcement Learning cs.LG cs.GR cs.RO We present a novel learning framework to solve the transport-and-packing (TAP) problem in 3D. It constitutes a full solution pipeline from partial observations of input objects via RGBD sensing and recognition to final box placement, vi...
arxiv topic:cs.LG cs.GR cs.RO
arxiv_dataset-195232311.09333
Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production cs.LG cs.AI A significant challenge for predictive maintenance in the pulp-and-paper industry is the infrequency of paper breaks during the production process. In t...
arxiv topic:cs.LG cs.AI
arxiv_dataset-195242311.09433
Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment cs.CR cs.AI cs.CL To ensure AI safety, instruction-tuned Large Language Models (LLMs) are specifically trained to ensure alignment, which refers to making models behave in accordance with human intentions. W...
arxiv topic:cs.CR cs.AI cs.CL
arxiv_dataset-195252311.09533
Effective Large Language Model Adaptation for Improved Grounding and Citation Generation cs.CL Large language models (LLMs) have achieved remarkable advancements in natural language understanding and generation. However, one major issue towards their widespread deployment in the real world is that they can genera...
arxiv topic:cs.CL
arxiv_dataset-195262311.09633
Reconciling Radio Tomographic Imaging with Phaseless Inverse Scattering physics.app-ph eess.SP physics.comp-ph Radio Tomographic Imaging (RTI) is a phaseless imaging approach that can provide shape reconstruction and localization of objects using received signal strength (RSS) measurements. RSS measurements can be ...
arxiv topic:physics.app-ph eess.SP physics.comp-ph
arxiv_dataset-195272311.09733
MOKA: Moral Knowledge Augmentation for Moral Event Extraction cs.CL News media often strive to minimize explicit moral language in news articles, yet most articles are dense with moral values as expressed through the reported events themselves. However, values that are reflected in the intricate dynamics among part...
arxiv topic:cs.CL
arxiv_dataset-195282311.09833
Two-particle angular correlations of identified particles in pp collisions at $\sqrt{s}$ = 13 TeV with ALICE nucl-ex hep-ex Two-particle angular correlation is one of the most powerful tools to study the mechanism of particle production in proton--proton (pp) collision systems by relating the difference between t...
arxiv topic:nucl-ex hep-ex
arxiv_dataset-195292311.09933
Heuristic Learning for Co-Design Scheme of Optimal Sequential Attack math.OC This paper considers a novel co-design problem of the optimal \textit{sequential} attack, whose attack strategy changes with the time series, and in which the \textit{sequential} attack selection strategy and \textit{sequential} attack sig...
arxiv topic:math.OC
arxiv_dataset-195302311.10033
PALANTIR: an updated prediction tool for exoplanetary radio emissions astro-ph.EP astro-ph.IM astro-ph.SR In the past two decades, it has been convincingly argued that magnetospheric radio emissions, of cyclotron maser origin, can occur for exoplanetary systems, similarly as solar planets, with the same periodicity...
arxiv topic:astro-ph.EP astro-ph.IM astro-ph.SR
arxiv_dataset-195312311.10133
The Age Distribution of Stellar Orbit Space Clumps astro-ph.GA The orbit distribution of young stars in the Galactic disk is highly structured, from well-defined clusters to streams of stars that may be widely dispersed across the sky, but are compact in orbital action-angle space. The age distribution of such grou...
arxiv topic:astro-ph.GA
arxiv_dataset-195322311.10233
Weight representations of affine Kac-Moody algebras and small quantum groups math.RT math-ph math.MP math.QA We study the weight modules over affine Kac-Moody algebras from the view point of vertex algebras, and determine the abelian category of weight modules for the simple affine vertex algebra $L_k(\mathfrak{s...
arxiv topic:math.RT math-ph math.MP math.QA
arxiv_dataset-195332311.10333
Topological Discrimination of Steep to Supersteep Gap as Evidence of Tunneling in Adiabatic Quantum Processes quant-ph It is shown that the gap that limits the speed of a quantum annealing process can take three salient morphologies: (i) the supersteep gap where both the ground and the first excited eigenenergy l...
arxiv topic:quant-ph
arxiv_dataset-195342311.10433
Task Scheduling Optimization from a Tensor Network Perspective quant-ph cs.ET We present a novel method for task optimization in industrial plants using quantum-inspired tensor network technology. This method allows us to obtain the best possible combination of tasks on a set of machines with a set of constraints w...
arxiv topic:quant-ph cs.ET
arxiv_dataset-195352311.10533
Parsing Millions of URLs per Second cs.PL cs.DS URLs are fundamental elements of web applications. By applying vector algorithms, we built a fast standard-compliant C++ implementation. Our parser uses three times fewer instructions than competing parsers following the WHATWG standard (e.g., Servo's rust-url) and up...
arxiv topic:cs.PL cs.DS
arxiv_dataset-195362311.10633
Predicting the Probability of Collision of a Satellite with Space Debris: A Bayesian Machine Learning Approach cs.LG Space is becoming more crowded in Low Earth Orbit due to increased space activity. Such a dense space environment increases the risk of collisions between space objects endangering the whole space ...
arxiv topic:cs.LG
arxiv_dataset-195372311.10733
Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23) cs.CY cs.CL cs.IR This is the Proceedings of the 3rd International Workshop on Mining and Learning in the Legal Domain (MLLD-23) which took place in conjunction with the 32nd ACM International Conference on Informat...
arxiv topic:cs.CY cs.CL cs.IR
arxiv_dataset-195382311.10833
Generative AI has lowered the barriers to computational social sciences cs.HC cs.CY Generative artificial intelligence (AI) has revolutionized the field of computational social science (CSS), unleashing new possibilities for collecting and analyzing multimodal data, especially for scholars who may not have extensiv...
arxiv topic:cs.HC cs.CY
arxiv_dataset-195392311.10933
Representing visual classification as a linear combination of words cs.AI cs.CL cs.CV cs.HC Explainability is a longstanding challenge in deep learning, especially in high-stakes domains like healthcare. Common explainability methods highlight image regions that drive an AI model's decision. Humans, however, heavil...
arxiv topic:cs.AI cs.CL cs.CV cs.HC
arxiv_dataset-195402311.11033
Accretion of the relativistic Vlasov gas onto a Kerr black hole gr-qc astro-ph.HE hep-ph We study the accretion of relativistic Vlasov gas onto a Kerr black hole, regarding the particles as distributed throughout all the space, other than just in the equatorial plane. We solve the relativistic Liouville equation in...
arxiv topic:gr-qc astro-ph.HE hep-ph
arxiv_dataset-195412311.11133
Busting the Myth of Spontaneous Formation of H2O2 at the Air-Water Interface: Contributions of the Liquid-Solid Interface and Dissolved Oxygen Exposed cond-mat.soft Recent reports on the spontaneous formation of H2O2(aq) at the air-water interface and the solid-water interface have been sensational. The specula...
arxiv topic:cond-mat.soft
arxiv_dataset-195422311.11233
Bottomonia production in Modified NRQCD hep-ph hep-ex Motivated by the success of Modified Non-Relativistic Quantum Chromodynamics (Modified NRQCD) in explaining data from experiments at the Large Hadron Collider (LHC) for charmonia, we now turn to the study of bottomonium production at the LHC. Modified NRQCD does...
arxiv topic:hep-ph hep-ex
arxiv_dataset-195432311.11333
Stable $(r+1)$-th capillary hypersurfaces math.DG math.AP In this paper, we propose a new definition of stable $(r+1)$-th capillary hypersurfaces from variational perspective for any $1\leq r\leq n-1$. More precisely, we define stable $(r+1)$-th capillary hypersurfaces to be smooth local minimizers of a new energy ...
arxiv topic:math.DG math.AP
arxiv_dataset-195442311.11433
Refining Blecher and Knopfmacher's Integer Partition Fixed Points math.CO Recently, Blecher and Knopfmacher explored the notion of fixed points in integer partitions. Here, we distinguish partitions with a fixed point by which value is fixed and analyze the resulting triangle of integers. In particular, we confirm ...
arxiv topic:math.CO
arxiv_dataset-195452311.11533
Event Camera Data Dense Pre-training cs.CV This paper introduces a self-supervised learning framework designed for pre-training neural networks tailored to dense prediction tasks using event camera data. Our approach utilizes solely event data for training. Transferring achievements from dense RGB pre-training dire...
arxiv topic:cs.CV
arxiv_dataset-195462311.11633
Applying Trust for Operational States of ICT-Enabled Power Grid Services cs.CR Digitalization enables the automation required to operate modern cyber-physical energy systems (CPESs), leading to a shift from hierarchical to organic systems. However, digitalization increases the number of factors affecting the state ...
arxiv topic:cs.CR
arxiv_dataset-195472311.11733
Linearity Property of Unique Colourings in Random Graphs math.CO math.PR In this paper, we study unique colourings in random graphs as a generalization of both conflict-free and injective colourings. Specifically, we impose the condition that a fraction of vertices in the neighbourhood of any vertex are assigned un...
arxiv topic:math.CO math.PR
arxiv_dataset-195482311.11833
Towards Perturbation-Induced Static Pivoting on GPU-Based Linear Solvers eess.SY cs.SY Linear system solving is a key tool for computational power system studies, e.g., optimal power flow, transmission switching, or unit commitment. CPU-based linear system solver speeds, however, have saturated in recent years. Eme...
arxiv topic:eess.SY cs.SY
arxiv_dataset-195492311.11933
Spin Hall conductivity in Bi$_{1-x}$Sb$_x$ as an experimental test of bulk-boundary correspondence cond-mat.mes-hall Bulk-boundary correspondence is a foundational principle underlying the electronic band structure and physical behavior of topological quantum materials. Although it has been rigorously tested in t...
arxiv topic:cond-mat.mes-hall
arxiv_dataset-195502311.12033
An improved two-threshold quantum segmentation algorithm for NEQR image quant-ph cs.CV The quantum image segmentation algorithm is to divide a quantum image into several parts, but most of the existing algorithms use more quantum resource(qubit) or cannot process the complex image. In this paper, an improved two-th...
arxiv topic:quant-ph cs.CV
arxiv_dataset-195512311.12133
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation cs.DC cs.CE cs.DB Error-bounded lossy compression has been identified as a promising solution for significantly reducing scientific data volumes upon users' requirements on data distortion. For the ...
arxiv topic:cs.DC cs.CE cs.DB
arxiv_dataset-195522311.12233
Unifying Corroborative and Contributive Attributions in Large Language Models cs.CL As businesses, products, and services spring up around large language models, the trustworthiness of these models hinges on the verifiability of their outputs. However, methods for explaining language model outputs largely fall ac...
arxiv topic:cs.CL
arxiv_dataset-195532311.12333
QuGeo: An End-to-end Quantum Learning Framework for Geoscience -- A Case Study on Full-Waveform Inversion quant-ph The rapid advancement of quantum computing has generated considerable anticipation for its transformative potential. However, harnessing its full potential relies on identifying "killer applications"...
arxiv topic:quant-ph
arxiv_dataset-195542311.12433
Constellation Shaping under Phase Noise Impairment for Sub-THz Communications cs.IT eess.SP math.IT The large untapped spectrum in the sub-THz allows for ultra-high throughput communication to realize many seemingly impossible applications in 6G. One of the challenges in radio communications in sub-THz is the har...
arxiv topic:cs.IT eess.SP math.IT
arxiv_dataset-195552311.12533
Reflection Properties of Ordinals in Generic Extensions math.LO We study the question of when a given countable ordinal $\alpha$ is $\Sigma^1_n$- or $\Pi^1_n$-reflecting in models which are neither $\mathsf{PD}$ models nor the constructible universe, focusing on generic extensions of $L$. We prove, amongst other th...
arxiv topic:math.LO
arxiv_dataset-195562311.12633
Finite groups with some subgroups satisfying the partial $ \Pi $-property math.GR Let $ H $ be a subgroup of a finite group $ G $. We say that $ H $ satisfies the partial $ \Pi $-property in $ G $ if there exists a chief series $ \varGamma_{G}: 1 =G_{0} < G_{1} < \cdot\cdot\cdot < G_{n}= G $ of $ G $ such that fo...
arxiv topic:math.GR
arxiv_dataset-195572311.12733
Not Just Training, Also Testing: High School Youths' Perspective-Taking through Peer Testing Machine Learning-Powered Applications cs.CY cs.HC Most attention in K-12 artificial intelligence and machine learning (AI/ML) education has been given to having youths train models, with much less attention to the equally...
arxiv topic:cs.CY cs.HC
arxiv_dataset-195582311.12833
HPC-GPT: Integrating Large Language Model for High-Performance Computing cs.DC cs.AI cs.CL Large Language Models (LLMs), including the LLaMA model, have exhibited their efficacy across various general-domain natural language processing (NLP) tasks. However, their performance in high-performance computing (HPC) doma...
arxiv topic:cs.DC cs.AI cs.CL
arxiv_dataset-195592311.12933
Fast infrared winds during the radio-loud and X-ray obscured stages of the black hole transient GRS 1915+105 astro-ph.HE astro-ph.SR The black hole transient GRS 1915+105 entered a new phase of activity in 2018, generally characterised by low X-ray and radio fluxes. This phase has been only interrupted by episode...
arxiv topic:astro-ph.HE astro-ph.SR
arxiv_dataset-195602311.13033
Invariance Proximity: Closed-Form Error Bounds for Finite-Dimensional Koopman-Based Models math.OC cs.SY eess.SY math.DS A popular way to approximate the Koopman operator's action on a finite-dimensional subspace of functions is via orthogonal projections. The quality of the projected model directly depends on th...
arxiv topic:math.OC cs.SY eess.SY math.DS
arxiv_dataset-195612311.13133
LIMIT: Less Is More for Instruction Tuning Across Evaluation Paradigms cs.LG cs.AI cs.CL Large Language Models are traditionally finetuned on large instruction datasets. However recent studies suggest that small, high-quality datasets can suffice for general purpose instruction following. This lack of consensus sur...
arxiv topic:cs.LG cs.AI cs.CL
arxiv_dataset-195622311.13233
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation cs.CR cs.AI Completely Automated Public Turing test to tell Computers and Humans Apart, short for CAPTCHA, is an essential and relatively easy way to defend against malicious attacks implemented by bots. The security and usability trad...
arxiv topic:cs.CR cs.AI
arxiv_dataset-195632311.13333
Trace-enabled Timing Model Synthesis for ROS2-based Autonomous Applications cs.OS Autonomous applications are typically developed over Robot Operating System 2.0 (ROS2) even in time-critical systems like automotive. Recent years have seen increased interest in developing model-based timing analysis and schedule o...
arxiv topic:cs.OS
arxiv_dataset-195642311.13433
State Diagrams to determine Tree Tensor Network Operators quant-ph cond-mat.str-el This work is concerned with tree tensor network operators (TTNOs) for representing quantum Hamiltonians. We first establish a mathematical framework connecting tree topologies with state diagrams. Based on these, we devise an algorit...
arxiv topic:quant-ph cond-mat.str-el
arxiv_dataset-195652311.13533
Volumetric 3D Point Cloud Attribute Compression: Learned polynomial bilateral filter for prediction eess.SP We extend a previous study on 3D point cloud attribute compression scheme that uses a volumetric approach: given a target volumetric attribute function $f : \mathbb{R}^3 \mapsto \mathbb{R}$, we quantize and...
arxiv topic:eess.SP
arxiv_dataset-195662311.13633
Open AdS/CFT via a Double Trace Deformation hep-th gr-qc A concrete model of extracting the physics from the bulk of a gravitational universe is important to the study of quantum gravity and its possible relationship with experiments. Such a model can be constructed in the AdS/CFT correspondence by gluing a bath on...
arxiv topic:hep-th gr-qc
arxiv_dataset-195672311.13733
Nonrelaxational FMR peak broadening in spatially inhomogeneous films cond-mat.mes-hall The modification of magnetic properties in spatially inhomogeneous epitaxial films of magnetic shape memory alloys in martensitic state with the temperature variation has been studied. The proposed theoretical model is based on L...
arxiv topic:cond-mat.mes-hall
arxiv_dataset-195682311.13833
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models cs.CV cs.CL cs.LG Text-to-Image (T2I) models excel at synthesizing concepts such as nouns, appearances, and styles. To enable customized content creation based on a few example images of a con...
arxiv topic:cs.CV cs.CL cs.LG
arxiv_dataset-195692311.13933
Numerically exact simulation of photo-doped Mott insulators cond-mat.str-el A description of long-lived photo-doped states in Mott insulators is challenging, as it needs to address exponentially separated timescales. We demonstrate how properties of such states can be computed using numerically exact steady state t...
arxiv topic:cond-mat.str-el
arxiv_dataset-195702311.14033
Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows cs.LG Trading on the day-ahead electricity markets requires accurate information about the realization of electricity prices and the uncertainty attached to the predictions. Deriving accurate forecasting models presents a dif...
arxiv topic:cs.LG
arxiv_dataset-195712311.14133
A robust framework for quantum computation using quasi-hidden molecular degrees of freedom physics.atom-ph physics.chem-ph quant-ph We discuss a novel approach to quantum information processing with molecules based on molecular degrees of freedom which are isolated from the environment as well as from the rest of...
arxiv topic:physics.atom-ph physics.chem-ph quant-ph
arxiv_dataset-195722311.14233
Holographic Fluids from 5D Dilaton Gravity hep-th hep-ph We study a solvable class of five-dimensional dilaton gravity models that continuously interpolate between anti-de Sitter (AdS$_5$), linear dilaton (LD$_5$) and positively curved spacetimes as a function of a continuous parameter $\nu$. The dilaton vacuum exp...
arxiv topic:hep-th hep-ph
arxiv_dataset-195732311.14333
Cycle Invariant Positional Encoding for Graph Representation Learning cs.LG Cycles are fundamental elements in graph-structured data and have demonstrated their effectiveness in enhancing graph learning models. To encode such information into a graph learning framework, prior works often extract a summary quantity,...
arxiv topic:cs.LG
arxiv_dataset-195742311.14433
SRB measures for mostly expanding partially hyperbolic diffeomorphisms via the variational approach math.DS By using the variational approach, we prove the existence of Sinai-Ruelle-Bowen measures for partially hyperbolic $\mathcal C^1$ diffeomorphisms with mostly expanding properties. The same conclusion holds t...
arxiv topic:math.DS
arxiv_dataset-195752311.14533
Introducing 3DCNN ResNets for ASD full-body kinematic assessment: a comparison with hand-crafted features cs.LG Autism Spectrum Disorder (ASD) is characterized by challenges in social communication and restricted patterns, with motor abnormalities gaining traction for early detection. However, kinematic analysis ...
arxiv topic:cs.LG
arxiv_dataset-195762311.14633
One Strike, You're Out: Detecting Markush Structures in Low Signal-to-Noise Ratio Images cs.CV cs.AI Modern research increasingly relies on automated methods to assist researchers. An example of this is Optical Chemical Structure Recognition (OCSR), which aids chemists in retrieving information about chemicals fr...
arxiv topic:cs.CV cs.AI
arxiv_dataset-195772311.14733
Thinking Outside the Box: Orthogonal Approach to Equalizing Protected Attributes cs.CY cs.CV cs.LG There is growing concern that the potential of black box AI may exacerbate health-related disparities and biases such as gender and ethnicity in clinical decision-making. Biased decisions can arise from data availab...
arxiv topic:cs.CY cs.CV cs.LG
arxiv_dataset-195782311.14833
Surface Scattering Expansion of the Casimir-Polder Interaction for Magneto-dielectric Bodies: Convergence Properties for Insulators, Conductors and Semiconductors quant-ph cond-mat.stat-mech Fluctuation induced forces are a hallmark of the interplay of fluctuations and geometry. We recently proved the existence...
arxiv topic:quant-ph cond-mat.stat-mech
arxiv_dataset-195792311.14933
ArcaDB: A Container-based Disaggregated Query Engine for Heterogenous Computational Environments cs.DB Modern enterprises rely on data management systems to collect, store, and analyze vast amounts of data related with their operations. Nowadays, clusters and hardware accelerators (e.g., GPUs, TPUs) have become a...
arxiv topic:cs.DB
arxiv_dataset-195802311.15033
Agent as Cerebrum, Controller as Cerebellum: Implementing an Embodied LMM-based Agent on Drones cs.RO cs.AI In this study, we present a novel paradigm for industrial robotic embodied agents, encapsulating an 'agent as cerebrum, controller as cerebellum' architecture. Our approach harnesses the power of Large Mult...
arxiv topic:cs.RO cs.AI
arxiv_dataset-195812311.15133
Rotationally displaced electric field intensity distribution around square nanoantennas induced by circularly polarized light physics.optics An optical field around regular polygon metal nanostructures excited by circularly polarized light can exhibit rotationally displaced intensity distributions. Although this ...
arxiv topic:physics.optics
arxiv_dataset-195822311.15233
Sparse modeling approach to extract spectral functions with covariance of Euclidean-time correlators of lattice QCD hep-lat We present our sparse modeling study to extract spectral functions from Euclidean-time correlation functions. In this study covariance between different Euclidean times of the correlation fu...
arxiv topic:hep-lat
arxiv_dataset-195832311.15333
Asymptotic Error Analysis of Multilevel Stochastic Approximations for the Value-at-Risk and Expected Shortfall q-fin.RM math.PR q-fin.CP Cr\'epey, Frikha, and Louzi (2023) introduced a nested stochastic approximation algorithm and its multilevel acceleration to compute the value-at-risk and expected shortfall of ...
arxiv topic:q-fin.RM math.PR q-fin.CP
arxiv_dataset-195842311.15433
An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems cs.DC The emergence of more and more blockchain solutions with innovative approaches to optimising performance, scalability, privacy and governance complicates performance analysis. Reasons for the difficulty of benchmarking blockchains...
arxiv topic:cs.DC
arxiv_dataset-195852311.15533
Simulating Open Quantum Systems Using Hamiltonian Simulations quant-ph We present a novel method to simulate the Lindblad equation, drawing on the relationship between Lindblad dynamics, stochastic differential equations, and Hamiltonian simulations. We derive a sequence of unitary dynamics in an enlarged Hilbert s...
arxiv topic:quant-ph
arxiv_dataset-195862311.15633
Toward a real-time TCP SYN Flood DDoS mitigation using Adaptive Neuro-Fuzzy classifier and SDN Assistance in Fog Computing cs.CR The growth of the Internet of Things (IoT) has recently impacted our daily lives in many ways. As a result, a massive volume of data is generated and needs to be processed in a short pe...
arxiv topic:cs.CR
arxiv_dataset-195872311.15733
Unconventional gap structures and the intermediate mixed state: a vortex lattice study of the noncentrosymmetric superconductor BiPd cond-mat.supr-con We report on neutron scattering measurements on the vortex lattice of the noncentrosymmetric superconductor BiPd. We observe the existence of the intermediate mixe...
arxiv topic:cond-mat.supr-con
arxiv_dataset-195882311.15833
On the existence of critical compatible metrics on contact $3$-manifolds math.DG math.DS math.SG We disprove the generalized Chern-Hamilton conjecture on the existence of critical compatible metrics on contact $3$-manifolds. More precisely, we show that a contact $3$-manifold $(M,\alpha)$ admits a critical compatib...
arxiv topic:math.DG math.DS math.SG
arxiv_dataset-195892311.15933
A new fuzzy multi-attribute group decision-making method based on TOPSIS and optimization models cs.AI In this paper, a new method based on TOPSIS and optimization models is proposed for multi-attribute group decision-making in the environment of interval-valued intuitionistic fuzzy sets.Firstly, by minimizing th...
arxiv topic:cs.AI
arxiv_dataset-195902311.16033
Paramagnetic contribution in superconductors with different-mass Cooper pairs cond-mat.supr-con Cooper pairs formed by two electrons with different effective masses are common in multiband superconductors, pair density wave states, and other superconducting systems with multiple degrees of freedom. In this paper,...
arxiv topic:cond-mat.supr-con
arxiv_dataset-195912311.16133
Effective Quantization for Diffusion Models on CPUs cs.CV cs.AI Diffusion models have gained popularity for generating images from textual descriptions. Nonetheless, the substantial need for computational resources continues to present a noteworthy challenge, contributing to time-consuming processes. Quantization, ...
arxiv topic:cs.CV cs.AI
arxiv_dataset-195922311.16233
C I Traces the Disk Atmosphere in the IM Lup Protoplanetary Disk astro-ph.EP astro-ph.SR The central star and its energetic radiation fields play a vital role in setting the vertical and radial chemical structure of planet-forming disks. We present observations that, for the first time, clearly reveal the UV-irradi...
arxiv topic:astro-ph.EP astro-ph.SR
arxiv_dataset-195932311.16333
From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks econ.EM cs.LG We reinvigorate maximum likelihood estimation (MLE) for macroeconomic density forecasting through a novel neural network architecture with dedicated mean and variance hemispheres. Our architecture features several key ing...
arxiv topic:econ.EM cs.LG
arxiv_dataset-195942311.16433
Energy Efficiency Optimization in Active Reconfigurable Intelligent Surface-Aided Integrated Sensing and Communication Systems eess.SP Energy efficiency (EE) is a challenging task in integrated sensing and communication (ISAC) systems, where high spectral efficiency and low energy consumption appear as conflictin...
arxiv topic:eess.SP
arxiv_dataset-195952311.16533
Motor State Prediction and Friction Compensation for Brushless DC Motor Drives Using Data-Driven Techniques eess.SY cs.SY In order to provide robust, reliable, and accurate position and velocity control of motor drives, friction compensation has emerged as a key difficulty. Non-characterised friction could give r...
arxiv topic:eess.SY cs.SY
arxiv_dataset-195962311.16633
21-cm Signal from the Epoch of Reionization: A Machine Learning upgrade to Foreground Removal with Gaussian Process Regression astro-ph.CO astro-ph.IM In recent years, a Gaussian Process Regression (GPR) based framework has been developed for foreground mitigation from data collected by the LOw-Frequency ARray (L...
arxiv topic:astro-ph.CO astro-ph.IM
arxiv_dataset-195972311.16733
LLMs for Science: Usage for Code Generation and Data Analysis cs.SE cs.AI cs.CL Large language models (LLMs) have been touted to enable increased productivity in many areas of today's work life. Scientific research as an area of work is no exception: the potential of LLM-based tools to assist in the daily work of s...
arxiv topic:cs.SE cs.AI cs.CL
arxiv_dataset-195982311.16833
1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness cs.LG cs.CV cs.NE The robustness of neural networks against input perturbations with bounded magnitude represents a serious concern in the deployment of deep learning models in safety-critical systems. Recently, the scientific community has focu...
arxiv topic:cs.LG cs.CV cs.NE
arxiv_dataset-195992311.16933
SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models cs.CV The development of text-to-video (T2V), i.e., generating videos with a given text prompt, has been significantly advanced in recent years. However, relying solely on text prompts often results in ambiguous frame composition due to spatial un...
arxiv topic:cs.CV