An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem


An Unsupervised Learning Method for Radio Interferometry Deconvolution


An Unsupervised Learning Model for Deformable Medical Image Registration


An Unsupervised Machine Learning Approach to Assess the ZIP Code Level Impact of COVID-19 in NYC


An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages


An Unsupervised Method for Estimating the Global Horizontal Irradiance from Photovoltaic Power Measurements


An Unsupervised Method for Uncovering Morphological Chains


An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection


An Unsupervised Sentence Embedding Method by Mutual Information Maximization


An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection


An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages


An Unsupervised method for OCR Post-Correction and Spelling Normalisation for Finnish


An Update on the External Calibrator for Hydrogen Observatories (ECHO)


An Update to the SBML Human-Readable Antimony Language


An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning


An X-ray absorption spectrum database for iron-containing proteins


An X-ray selected catalog of extended galaxy clusters from the ROSAT All-Sky Survey (RXGCC)


An X-shooter composite of bright 1 < z < 2 quasars from UV to infrared


An accelerated expectation-maximization algorithm for multi-reference alignment


An accuracy-runtime trade-off comparison of scalable Gaussian process approximations for spatial data


An accurate detection is not all you need to combat label noise in web-noisy datasets


An accurate measurement of the spectral resolution of the JWST Near Infrared Spectrograph


An active learning method for solving competitive multi-agent decision-making and control problems


An active-set method for sparse approximations. Part II: General piecewise-linear terms


An activity transition in FRB 20201124A: methodological rigor, detection of frequency-dependent cessation, and a geometric magnetar model


An actor-critic algorithm with policy gradients to solve the job shop scheduling problem using deep double recurrent agents


An adaptable generalization of Hotelling's $T^2$ test in high dimension


An adaptation of InfoMap to absorbing random walks using absorption-scaled graphs


An adaptive Bayesian approach to gradient-free global optimization


An adaptive RKHS regularization for Fredholm integral equations


An adaptive approximate Bayesian computation MCMC with Global-Local proposals


An adaptive enrichment design using Bayesian model averaging for selection and threshold-identification of tailoring variables


An adaptive ensemble filter for heavy-tailed distributions: tuning-free inflation and localization


An adaptive kernel estimator for the intensity function of spatio-temporal point processes


An adaptive partition of unity method for multivariate Chebyshev polynomial approximations


An adaptive proximal point algorithm framework and application to large-scale optimization


An adaptive shortest-solution guided decimation approach to sparse high-dimensional linear regression


An adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models


An adaptive solution strategy for Richards' equation


An adaptive spectral method for oscillatory second-order linear ODEs with frequency-independent cost


An adaptive standardisation methodology for Day-Ahead electricity price forecasting


An adaptive stochastic gradient-free approach for high-dimensional blackbox optimization


An adaptive, data-driven multiscale approach for dense granular flows


An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning


An advanced combination of semi-supervised Normalizing Flow & Yolo (YoloNF) to detect and recognize vehicle license plates


An age-structured SEIR model for COVID--19 incidence in Dublin, Ireland with framework for evaluating health intervention cost


An age-structured SVEAIR epidemiological model


An agent design with goal reaching guarantees for enhancement of learning


An agent-based model for modal shift in public transport


An agent-based model of behaviour change calibrated to reversal learning data


An agent-based model of the 2020 international policy diffusion in response to the COVID-19 pandemic with particle filter


An agent-based modelling framework to study growth mechanisms in EGFR-L858R mutant alveolar type II cells


An algorithm and computation to verify Legendre's Conjecture up to $3.33\cdot10^{13}$


An algorithm for Egyptian fraction representations with restricted denominators


An algorithm for clustering with confidence-based must-link and cannot-link constraints


An algorithm for computing generalized Hamming weights and the Sage package GHWs


An algorithm for discovering Lagrangians automatically from data


An algorithm for motif-based network design


An algorithm for non-parametric estimation in state-space models


An algorithm for onset detection of linguistic segments in continuous electroencephalogram signals


An algorithm for quantifying dependence in multivariate data sets


An algorithm for the numerical evaluation of the associated Legendre functions that runs in time independent of degree and order


An algorithm for the rapid numerical evaluation of Bessel functions of real orders and arguments


An algorithm for two-player repeated games with imperfect public monitoring


An algorithm to calculate generalized Seifert matrices


An algorithm to construct one-vertex triangulations of Heegaard splittings


An algorithm to reconstruct convex polyhedra from their face normals and areas


An algorithm to represent inbreeding trees


An algorithm-based multiple detection influence measure for high dimensional regression using expectile


An algorithmic approach to Chevalley's Theorem on images of rational morphisms between affine varieties


An algorithmic approach to Rupert's problem


An algorithmic framework for synthetic cost-aware decision making in molecular design


An algorithmic method to compute plat-like Markov moves for genus two 3-manifolds


An alignment-agnostic methodology for the analysis of designed separations data


An all-sky sample of intermediate- to high-mass OBA-type eclipsing binaries observed by TESS


An alternate approach for estimating grain-growth kinetics


An alternative approach to train neural networks using monotone variational inequality


An analysis of Bayesian estimates for missing higher orders in perturbative calculations


An analysis of Reinforcement Learning applied to Coach task in IEEE Very Small Size Soccer


An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations


An analysis of factors impacting team strengths in the Australian Football League using time-variant Bradley-Terry models


An analysis of reconstruction noise from undersampled 4D flow MRI


An analysis of the SIGMOD 2014 Programming Contest: Complex queries on the LDBC social network graph


An analysis of vaccine-related sentiments from development to deployment of COVID-19 vaccines


An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges


An analytic description of the radio emission of air showers based on its emission mechanisms


An analytic solution for evaluating the magnetic field induced from an arbitrary, asymmetric ocean world


An analytic theory of shallow networks dynamics for hinge loss classification


An analytical late-Universe approach to the weaving of modern cosmology


An analytical model for photomultiplier tube calibration


An animated picture says at least a thousand words: Selecting Gif-based Replies in Multimodal Dialog


An anomaly detection approach for backdoored neural networks: face recognition as a case study


An anti-noise seismic inversion method based on diffusion model


An anytime tree search algorithm for two-dimensional two- and three-staged guillotine packing problems


An application of a small area procedure with correlation between measurement error and sampling error to the Conservation Effects Assessment Project


An application of neighbourhoods in digraphs to the classification of binary dynamics


An approach to robust ICP initialization


An approximate KLD based experimental design for models with intractable likelihoods


An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling


An approximate expectation-maximization for two-dimensional multi-target detection


An approximation algorithm for zero forcing


An arbitrary order and pointwise divergence-free finite element scheme for the incompressible 3D Navier-Stokes equations


An arbitrary order scheme on generic meshes for miscible displacements in porous media


An arbitrary-order fully discrete Stokes complex on general polyhedral meshes


An argumentative agent-based model of scientific inquiry


An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department


An artificial viscosity approach to high order entropy stable discontinuous Galerkin methods


An artificially-damped Fourier method for dispersive evolution equations


An assessment of quantum phase estimation protocols for early fault-tolerant quantum computers


An association sequence suitable for producing ground-state RbCs molecules in optical lattices


An astronomical image content-based recommendation system using combined deep learning models in a fully unsupervised mode


An astrophysically motivated ranking criterion for low-latency electromagnetic follow-up of gravitational wave events


An asynchronous object-oriented approach to the automation of the 0.8-meter George Mason University campus telescope in Python


An attack on Zarankiewicz's problem through SAT solving


An attempt to build a dynamical catalog of Solar System co-orbitals


An attempt to generate new bridge types from latent space of PixelCNN


An attempt to generate new bridge types from latent space of denoising diffusion Implicit model


An attempt to generate new bridge types from latent space of energy-based model


An attempt to generate new bridge types from latent space of generative adversarial network


An attempt to generate new bridge types from latent space of generative flow


An attempt to generate new bridge types from latent space of variational autoencoder


An attention model to analyse the risk of agitation and urinary tract infections in people with dementia


An attention-based Bi-GRU-CapsNet model for hypernymy detection between compound entities


An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild


An augmentation strategy to mimic multi-scanner variability in MRI


An augmented mixed FEM for the convective Brinkman-Forchheimer problem: a priori and a posteriori error analysis


An augmented phase plane approach for discrete planar maps: Introducing next-iterate operators


An autoencoder for compressing angle-resolved photoemission spectroscopy data


An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions


An automated framework for brain vessel centerline extraction from CTA images


An automated framework for exploring and learning potential-energy surfaces


An automated geometric space curve approach for designing dynamically corrected gates


An automated, geometry-based method for hippocampal shape and thickness analysis


An automatic pipeline for atlas-based fetal and neonatal brain segmentation and analysis


An automatic system to detect equivalence between iterative algorithms


An automatic taxonomy of galaxy morphology using unsupervised machine learning


An autonomous quantum machine to measure the thermodynamic arrow of time


An eBPF-Based Trace-Driven Emulation Method for Satellite Networks


An early giant planet instability recorded in asteroidal meteorites


An early warning indicator trained on stochastic disease-spreading models with different noises


An early warning system for emerging markets


An easy zero-shot learning combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy


An eccentric binary black hole inspiral-merger-ringdown gravitational waveform model from numerical relativity and post-Newtonian theory


An eccentric wave in the circumstellar disc of the Be/X-ray binary X Persei


An economically-consistent discrete choice model with flexible utility specification based on artificial neural networks


An educator's perspective of the tidyverse


An effect analysis of the balancing techniques on the counterfactual explanations of student success prediction models


An effective and efficient green federated learning method for one-layer neural networks


An effective description of Laniakea: impact on cosmology and the local determination of the Hubble constant


An effective hybrid search algorithm for the multiple traveling repairman problem with profits


An effective theory of collective deep learning


An efficient $k$-means-type algorithm for clustering datasets with incomplete records


An efficient ADMM algorithm for high dimensional precision matrix estimation via penalized quadratic loss


An efficient GPU algorithm for tetrahedron-based Brillouin-zone integration


An efficient Monte Carlo scheme for Zakai equations


An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography


An efficient algorithm computing composition factors of $T(V)^{\otimes n}$


An efficient algorithm for global interval solution of nonlinear algebraic equations and its GPGPU implementation


An efficient algorithm for graph Laplacian optimization based on effective resistances


An efficient algorithm for integer lattice reduction


An efficient algorithm for the Riemannian logarithm on the Stiefel manifold for a family of Riemannian metrics


An efficient and quantitative phase-field model for elastically heterogeneous two-phase solids based on a partial rank-one homogenization scheme


An efficient and straightforward online quantization method for a data stream through remove-birth updating


An efficient block rational Krylov solver for Sylvester equations with adaptive pole selection


An efficient combined local and global search strategy for optimization of parallel kinematic mechanisms with joint limits and collision constraints


An efficient deep neural network to find small objects in large 3D images


An efficient encoder-decoder architecture with top-down attention for speech separation


An efficient framework based on large foundation model for cervical cytopathology whole slide image screening


An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries


An efficient implementation for solving the all pairs minimax path problem in an undirected dense graph


An efficient jet marcher for computing the quasipotential for 2D SDEs


An efficient joint model for high dimensional longitudinal and survival data via generic association features


An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation


An efficient method for goal-oriented linear Bayesian optimal experimental design: Application to optimal sensor placemen


An efficient multiscale multigrid preconditioner for Darcy flow in high-contrast media


An efficient phase-field model of shear fractures using deviatoric stress split


An efficient positive potential-density pair expansion for modelling galaxies


An efficient projection neural network for $\ell_1$-regularized logistic regression


An efficient quantum algorithm for the time evolution of parameterized circuits


An efficient second-order cone programming approach for dynamic optimal transport on staggered grid discretization


An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions


An efficient surrogate-aided importance sampling framework for reliability analysis


An efficient topology optimization algorithm for large-scale three-dimensional structures


An efficient unsupervised classification model for galaxy morphology: Voting clustering based on coding from ConvNeXt large model


An efficient way to manage ranges of data with Wise Red-Black Trees


An electric vehicle charging station access equilibrium model with M/D/C queueing


An embarrassingly simple approach to neural multiple instance classification


An embarrassingly simple comparison of machine learning algorithms for indoor scene classification


An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture


An embedded variable step IMEX scheme for the incompressible Navier-Stokes equations


An embedding-based distance for temporal graphs


An empirical Bayes Approach to stochastic blockmodels and graphons: shrinkage estimation and model selection


An empirical Bayes approach to estimating dynamic models of co-regulated gene expression


An empirical approach to model selection: weak lensing and intrinsic alignments


An empirical assessment of best-answer prediction models in technical Q&A sites


An empirical evaluation of active inference in multi-armed bandits


An empirical study of Linespots: A novel past-fault algorithm


An empirical study of the effect of background data size on the stability of SHapley Additive exPlanations (SHAP) for deep learning models


An empirical study on evaluation metrics of generative adversarial networks


An empirical study on the effects of different types of noise in image classification tasks


An empirical study on the names of points of interest and their changes with geographic distance


An emulator-based halo model in modified gravity -- I. The halo concentration-mass relation and density profile


An end-to-end TextSpotter with Explicit Alignment and Attention


An end-to-end approach for the verification problem: learning the right distance


An end-to-end data-driven optimisation framework for constrained trajectories


An end-to-end deep learning approach for extracting stochastic dynamical systems with $α$-stable Lévy noise


An energy approach to pulsar-disc interaction: disc stability and implications for transitional millisecond pulsars


An engine to simulate insurance fraud network data


An enhanced Conv-TasNet model for speech separation using a speaker distance-based loss function


An enhanced heuristic framework for solving the Rank Pricing Problem


An enriched count of the bitangents to a smooth plane quartic curve


An ensemble based on a bi-objective evolutionary spectral algorithm for graph clustering


An ensemble meta-estimator to predict source code testability


An ensemble neural network approach to forecast Dengue outbreak based on climatic condition


An ensemble solver for segregated cardiovascular FSI


An entity-guided text summarization framework with relational heterogeneous graph neural network


An entropy stable discontinuous Galerkin method for the two-layer shallow water equations on curvilinear meshes


An entropy structure preserving space-time formulation for cross-diffusion systems: Analysis and Galerkin discretization


An epidemiological model with voluntary quarantine strategies governed by evolutionary game dynamics


An equalised global graphical model-based approach for multi-camera object tracking


An equivariant graph neural network for the elasticity tensors of all seven crystal systems


An estimation method for game complexity


An ethnoarithmetic excursion into the Javanese calendar


An evaluation framework for comparing epidemic intelligence systems


An evaluation framework for dimensionality reduction through sectional curvature


An evaluation framework for synthetic data generation models


An evaluation of CNN models and data augmentation techniques in hierarchical localization of mobile robots


An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo dataset


An evolutionary view on the emergence of Artificial Intelligence


An evolving objective function for improved variational quantum optimisation


An exact counterfactual-example-based approach to tree-ensemble models interpretability


An exact coverage path planning algorithm for UAV-based search and rescue operations


An exact test for significance of clusters in binary data


An exhaustive ADDIS principle for online FWER control


An expanded evaluation of protein function prediction methods shows an improvement in accuracy


An experiment to test the discreteness of time


An experimental comparative study of backpropagation and alternatives for training binary neural networks for image classification


An experimental comparison of tree-data structures for connectivity queries on fully-dynamic undirected graphs (Extended Version)


An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control


An experimental sorting method for improving metagenomic data encoding


An experimental study in Real-time Facial Emotion Recognition on new 3RL dataset


An expert-driven data generation pipeline for histological images


An explainability framework for cortical surface-based deep learning


An explainable operator approximation framework under the guideline of Green's function


An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition


An explicit mean-covariance parameterization for multivariate response linear regression


An explicit version of Chen's theorem and the linear sieve


An exploratory time series analysis of total deaths per month in Brazil since 2015


An exponential-free Runge--Kutta framework for developing third-order unconditionally energy stable schemes for the Cahn--Hilliard equation


An exposition of the false confidence theorem


An extended generalized Pareto regression model for count data


An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations


An extensible point-based method for data chart value detection


An extension of Krishnan's central limit theorem to the Brown-Thompson groups


An extension of May's Theorem to three alternatives: axiomatizing Minimax voting


An extension of SPARQL for expressing qualitative preferences


An extension of the approximate component mode synthesis method to the heterogeneous Helmholtz equation


An extrapolated and provably convergent algorithm for nonlinear matrix decomposition with the ReLU function


An extrapolation-driven network architecture for physics-informed deep learning


An extreme test case for planet formation: a close-in Neptune orbiting an ultracool star


An extreme value approach to CoVaR estimation


An image representation based convolutional network for DNA classification


An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance


An image-computable model of speeded decision-making


An implementation of ROS Autonomous Navigation on Parallax Eddie platform


An implementation of the "Guess who?" game using CLIP


An importance sampling approach for reliable and efficient inference in Bayesian ordinary differential equation models


An impossibility theorem concerning positive involvement in voting


An improved Ant Colony System for the Sequential Ordering Problem


An improved column-generation-based matheuristic for learning classification trees


An improved example for an autoconvolution inequality


An improved non-reflecting outlet boundary condition for weakly-compressible SPH


An improved synthetic signal injection routine for the Haloscope At Yale Sensitive To Axion Cold dark matter (HAYSTAC)


An in-depth characterisation of Bots and Humans on Twitter


An independent assessment of significance of annual modulation in COSINE-100 data


An individual-level ground truth dataset for home location detection


An inductive bias from quantum mechanics: learning order effects with non-commuting measurements


An information upper bound for probability sensitivity


An information-geometric approach for network decomposition using the q-state Potts model


An information-theoretic approach to hypergraph psychometrics


An information-theoretic framework to measure the dynamic interaction between neural spike trains


An informative path planning framework for UAV-based terrain monitoring


An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learning


An innovative adaptive kriging approach for efficient binary classification of mechanical problems


An inorganic ABX3 perovskite materials dataset for target property prediction and classification using machine learning


An insightful approach to bearings-only tracking in log-polar coordinates


An installation-level model of China's coal sector shows how its decarbonization and energy security plans will reduce overseas coal imports


An instructional lab apparatus for quantum experiments with single nitrogen-vacancy centers in diamond


An instrumental variable approach under dependent censoring


An integer program and new lower bounds for computing the strong rainbow connection numbers of graphs


An integral transformation approach to differential games: a climate model application


An integrated method for clustering and association network inference


An integrated perspective of robustness in regression through the lens of the bias-variance trade-off


An integrated selection and routing policy for urban waste collection


An intelligent modular real-time vision-based system for environment perception


An intelligent tutor for planning in large partially observable environments


An interactive music infilling interface for pop music composition


An interactive sequential-decision benchmark from geosteering


An interferometric view of hot star disks


An intergalactic medium temperature from a giant radio galaxy


An interpenetrating-network theory of cytoplasm


An interpretable approach to automating the assessment of biofouling in video footage


An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics


An interpretable clustering approach to safety climate analysis: examining driver group distinction in safety climate perceptions


An interpretable neural network-based non-proportional odds model for ordinal regression


An introduction to classical molecular dynamics simulation for experimental scattering users


An introduction to programming Physics-Informed Neural Network-based computational solid mechanics


An introduction to rating triggers for collateral-inclusive XVA in an ICTMC framework


An introduction to statistical models used to characterize species-habitat associations with animal movement data


An introduction to tensors for path signatures


An introduction to the Bernoulli function


An inverse problem for the Standard Model of particle physics


An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties


An investigation into Lie algebra representations obtained from regular holonomic D-modules


An investigation of air pollution-induced temperature sensitivity and susceptibility to heat-related hospitalization in the Medicare population


An investigation of the Online Payment and Banking System Apps in Bangladesh


An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms


An invitation to sequential Monte Carlo samplers


An iterated block particle filter for inference on coupled dynamic systems with shared and unit-specific parameters


An iterative Jacobi-like algorithm to compute a few sparse eigenvalue-eigenvector pairs


An iterative approach for counting reduced ordered binary decision diagrams


An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees


An iterative method for elliptic problems with rapidly oscillating coefficients


An iterative method to deblend AGN-Host contributions for Integral Field spectroscopic observations


An iterative sample scenario approach for the dynamic dispatch waves problem


An objective evaluation of Hearing Aids and DNN-based speech enhancement in complex acoustic scenes


An off-the-grid approach to multi-compartment magnetic resonance fingerprinting


An offline-online strategy for multiscale problems with random defects


An online generalization of the (e-)Benjamini-Hochberg procedure


An open source MATLAB package to perform basic and advanced statistical analysis of turbulence data and other complex systems


An open source digital servo for AMO physics experiments


An open unified deep graph learning framework for discovering drug leads


An open-source ABAQUS implementation of the scaled boundary finite element method to study interfacial problems using polyhedral meshes


An open-source automated magnetic optical density meter for analysis of suspensions of magnetic cells and particles


An open-source deep learning algorithm for efficient and fully-automatic analysis of the choroid in optical coherence tomography


An open-source implementation of a phase-field model for brittle fracture using Gridap in Julia


An open-source job management framework for parameter-space exploration: OACIS


An open-source pipeline for solving continuous reaction-diffusion models in image-based geometries of porous media


An open-source platform for interactive collision prevention in photon and particle beam therapy treatment planning


An open-source simulation package for power electronics education


An open-source software package for on-the-fly deskewing and live viewing of volumetric lightsheet microscopy data


An open-source solver for finding global solutions to constrained derivative-free optimization problems


An open-source, distributed workflow for band mapping data in multidimensional photoemission spectroscopy


An operational information decomposition via synergistic disclosure


An optimal complexity spectral solver for the Poisson equation


An optimal gradient method for smooth strongly convex minimization


An optimal open-loop strategy for handling a flexible beam with a robot manipulator


An optimal pairwise merge algorithm improves the quality and consistency of nonnegative matrix factorization


An optimal polynomial approximation of Brownian motion


An optimal transport based characterization of convex order


An optimization-based construction procedure for function space based summation-by-parts operators on arbitrary grids


An optimization-based equilibrium measure describes non-equilibrium steady state dynamics: application to edge of chaos


An optimized pipeline for functional connectivity analysis in the rat brain


An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language


An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients


An overview of deep learning in medical imaging focusing on MRI


An ultra-low noise, high-voltage piezo driver


An ultraweak variational method for parameterized linear differential-algebraic equations


An unbiased method of measuring the ratio of two data sets


An unified approach to link prediction in collaboration networks


An unsupervised and customizable misspelling generator for mining noisy health-related text sources


An unsupervised framework for tracing textual sources of moral change


An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator


An unsupervised learning approach for predicting wind farm power and downstream wakes using weather patterns


An unsupervised machine-learning-based shock sensor for high-order supersonic flow solvers


An unsupervised method for MRI recovery: Deep image prior with structured sparsity


An unusually low-density super-Earth transiting the bright early-type M-dwarf GJ 1018 (TOI-244)


An update to the EVEREST K2 pipeline: Short cadence, saturated stars, and Kepler-like photometry down to Kp = 15


An updated measurement of the Hubble constant from near-infrared observations of Type Ia supernovae


An upper bound for the number of chess diagrams without promotion


An upper bound on the dimension of the Rauzy gasket


AnCoGen: Analysis, Control and Generation of Speech with a Masked Autoencoder


AnDB: Breaking Boundaries with an AI-Native Database for Universal Semantic Analysis


Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models


Analog Secure Distributed Matrix Multiplication over Complex Numbers


Analog forecasting of extreme-causing weather patterns using deep learning


AnalogCoder: Analog Circuit Design via Training-Free Code Generation


AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies


AnalogGym: An Open and Practical Testing Suite for Analog Circuit Synthesis


AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks


Analogical Inference Enhanced Knowledge Graph Embedding


Analogical Inference for Multi-Relational Embeddings


Analogical Math Word Problems Solving with Enhanced Problem-Solution Association


Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of Abstraction


Analogical Reasoning on Chinese Morphological and Semantic Relations


Analogical discovery of disordered perovskite oxides by crystal structure information hidden in unsupervised material fingerprints


Analogies minus analogy test: measuring regularities in word embeddings


Analogs of Linguistic Structure in Deep Representations


Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT


Analogy-Making as a Core Primitive in the Software Engineering Toolbox


Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning


Analyses of Multi-collection Corpora via Compound Topic Modeling


Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices


Analysing Discrete Self Supervised Speech Representation for Spoken Language Modeling


Analysing Gender Bias in Text-to-Image Models using Object Detection


Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads


Analysing Lexical Semantic Change with Contextualised Word Representations


Analysing Mixed Initiatives and Search Strategies during Conversational Search


Analysing Multiscale Clusterings with Persistent Homology


Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks


Analysing State-Backed Propaganda Websites: a New Dataset and Linguistic Study


Analysing Statistical methods for Automatic Detection of Image Forgery


Analysing The Impact of Sequence Composition on Language Model Pre-Training


Analysing control-theoretic properties of nonlinear synthetic biology circuits


Analysing domain shift factors between videos and images for object detection


Analysing ecological dynamics with relational event models: the case of biological invasions


Analysing high-throughput sequencing data in Python with HTSeq 2.0


Analysing kinematic data from recreational runners using functional data analysis


Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks


Analysing the Impact of Audio Quality on the Use of Naturalistic Long-Form Recordings for Infant-Directed Speech Research


Analysing the Influence of Reorder Strategies for Cartesian Genetic Programming


Analysing the Resourcefulness of the Paragraph for Precedence Retrieval


Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings


Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency


Analysis Method of Strapdown Inertial Navigation Error Distribution Based on Covariance Matrix Decomposition


Analysis and Approximate Inference of Large Random Kronecker Graphs


Analysis and Control of a Planar Quadrotor


Analysis and Detection of Differences in Spoken User Behaviors between Autonomous and Wizard-of-Oz Systems


Analysis and Evaluation of Language Models for Word Sense Disambiguation


Analysis and Evaluation of Synchronous and Asynchronous FLchain


Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection


Analysis and Methods to Mitigate Effects of Under-reporting in Count Data


Analysis and Mitigation of Shared Resource Contention on Heterogeneous Multicore: An Industrial Case Study


Analysis and Prediction of NLP Models Via Task Embeddings


Analysis and Simulation of a Fluid-Heat System in a Thin, Rough Layer in Contact With a Solid Bulk Domain


Analysis and application of multispectral data for water segmentation using machine learning


Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognition


Analysis and predictability of centrality measures in competition networks


Analysis for Implicit and Implicit-Explicit ADER and DeC Methods for Ordinary Differential Equations, Advection-Diffusion and Advection-Dispersion Equations


Analysis note: measurement of energy-energy correlator in $e^{+}e^{-}$ collisions at $91$ GeV with archived ALEPH data


Analysis of Activity Dependent Development of Topographic Maps in Neural Field Theory with Short Time Scale Dependent Plasticity


Analysis of Bag-of-n-grams Representation's Properties Based on Textual Reconstruction


Analysis of Black Hole Solutions in Parabolic Class Using Neural Networks


Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression


Analysis of Carlemann Linearization of Lattice Boltzmann


Analysis of Centrifugal Clutches in Two-Speed Automatic Transmissions with Deep Learning-Based Engagement Prediction


Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging


Analysis of Confident-Classifiers for Out-of-distribution Detection


Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel


Analysis of Data Value in Stochastic Optimal Power Flow for Distribution Systems


Analysis of EEG frequency bands for Envisioned Speech Recognition


Analysis of Evolutionary Program Synthesis for Card Games


Analysis of Executional and Procedural Errors in Dry-lab Robotic Surgery Experiments


Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem


Analysis of Floating-Point Matrix Multiplication Computed via Integer Arithmetic


Analysis of French Phonetic Idiosyncrasies for Accent Recognition


Analysis of Gene Interaction Graphs as Prior Knowledge for Machine Learning Models


Analysis of Gene Regulatory Networks from Gene Expression Using Graph Neural Networks


Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary


Analysis of Hopfield Model as Associative Memory


Analysis of Information Flow Through U-Nets


Analysis of Integral Field Spectroscopy observations of the planetary nebula Hen 2-108 and its central star


Analysis of Language Change in Collaborative Instruction Following


Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads


Analysis of Markov Jump Processes under Terminal Constraints


Analysis of Media Writing Style Bias through Text-Embedding Networks


Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model


Analysis of Modern Computer Vision Models for Blood Cell Classification


Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank


Analysis of N-of-1 trials using Bayesian distributed lag model with autocorrelated errors


Analysis of Neural Activation in Time-dependent Membrane Capacitance Models


Analysis of Normal-Form Algorithms for Solving Systems of Polynomial Equations


Analysis of One-Hidden-Layer Neural Networks via the Resolvent Method


Analysis of Optimization Algorithms via Sum-of-Squares


Analysis of Perceived Stress Test using Machine Learning


Analysis of Petri Nets and Transition Systems


Analysis of Privacy Leakage in Federated Large Language Models


Analysis of Pseudo-Labeling for Online Source-Free Universal Domain Adaptation


Analysis of Railway Accidents' Narratives Using Deep Learning


Analysis of Research Trends in Computer Science: A Network Approach


Analysis of Ring Galaxies Detected Using Deep Learning with Real and Simulated Data


Analysis of Ringdown Overtones in GW150914


Analysis of Semi-Supervised Methods for Facial Expression Recognition


Analysis of Socially Unacceptable Discourse with Zero-shot Learning


Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control


Analysis of Trade-offs in Fair Principal Component Analysis Based on Multi-objective Optimization


Analysis of Training Object Detection Models with Synthetic Data


Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model


Analysis of Two-Phase Studies using Generalized Method of Moments


Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference


Analysis of Utterance Embeddings and Clustering Methods Related to Intent Induction for Task-Oriented Dialogue


Analysis of Validating and Verifying OpenACC Compilers 3.0 and Above


Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification


Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Models


Analysis of XLS-R for Speech Quality Assessment


Analysis of a Class of Two-delay Fractional Differential Equation


Analysis of a Helmholtz preconditioning problem motivated by uncertainty quantification


Analysis of a Spotify Collaboration Network for Small-World Properties


Analysis of a certain polycyclic-group-based cryptosystem


Analysis of a density matrix renormalization group approach for transport in open quantum systems


Analysis of a household-scale model for the invasion of Wolbachia into a resident mosquito population


Analysis of accretion disc structure and stability using open code for vertical structure


Analysis of animal-related electric outages using species distribution models and community science data


Analysis of chronic diseases progression using stochastic modeling


Analysis of differential splicing suggests different modes of short-term splicing regulation


Analysis of diffusion in solid state electrolytes through MD-simulations, improvement of the Li-ion conductivity in \beta-Li3PS4 as an example


Analysis of genetic differences between psychiatric disorders: Exploring pathways and cell-types/tissues involved and ability to differentiate the disorders by polygenic scores


Analysis of hidden feedback loops in continuous machine learning systems


Analysis of impact of emotions on target speech extraction and speech separation


Analysis of learning a flow-based generative model from limited sample complexity


Analysis of mean-field models arising from self-attention dynamics in transformer architectures with layer normalization


Analysis of nested multilevel Monte Carlo using approximate Normal random variables


Analysis of node2vec random walks on networks


Analysis of pangolin metagenomic datasets reveals significant contamination, raising concerns for pangolin CoV host attribution


Analysis of parallel Schwarz algorithms for time-harmonic problems using block Toeplitz matrices


Analysis of quantum Krylov algorithms with errors


Analysis of rescattering effects in $3π$ final states


Analysis of scattered higher dimensional data using generalized Fourier interpolation


Analysis of skin lesion images with deep learning


Analysis of social interactions in group-housed animals using dyadic linear models


Analysis of solar eruptions deflecting in the low corona: influence of the magnetic environment


Analysis of stochastic Lanczos quadrature for spectrum approximation


Analysis of survival data with non-proportional hazards: A comparison of propensity score weighted methods


Analysis of the 24-Hour Activity Cycle: An illustration examining the association with cognitive function in the Adult Changes in Thought (ACT) Study


Analysis of the Causes of Car Accidents in the United States of America in 2023: Gauge People Understanding of Data Visualisation


Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City Applications


Analysis of the Evolution of Advanced Transformer-Based Language Models: Experiments on Opinion Mining


Analysis of the H.E.S.S. public data release with ctools


Analysis of the Identifying Regulation with Adversarial Surrogates Algorithm


Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs


Analysis of the Performance of Algorithm Configurators for Search Heuristics with Global Mutation Operators


Analysis of the Publication and Document Types in OpenAlex, Web of Science, Scopus, Pubmed and Semantic Scholar


Analysis of the first Genetic Engineering Attribution Challenge


Analysis of the maps with variable fractional order


Analysis of the robustness of NMF algorithms


Analysis of the use of color and its emotional relationship in visual creations based on experiences during the context of the COVID-19 pandemic


Analysis of tidal flows through the Strait of Gibraltar using Dynamic Mode Decomposition


Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems


Analysis, Design, and Generalization of Electrochemical Impedance Spectroscopy (EIS) Inversion Algorithms


Analysis, Modeling and Design of Personalized Digital Learning Environment


Analytic Continuation by Feature Learning


Analytic Fourier ptychotomography for volumetric refractive index imaging


Analytic Light Curve for Mutual Transits of Two Bodies Across a Limb-darkened Star


Analytic Reflected Lightcurves for Exoplanets


Analytic Results for Loop-Level Momentum Space Witten Diagrams


Analytic Solutions for Wheeled Mobile Manipulator Supporting Forces


Analytic approach to axion-like-particle emission in core-collapse supernovae


Analytic auto-differentiable $Λ$CDM cosmography


Analytic continuation of harmonic sums: dispersion representation


Analytic continuations and numerical evaluation of the Appell $F_1$, $F_3$, Lauricella $F_D^{(3)}$ and Lauricella-Saran $F_S^{(3)}$ and their Application to Feynman Integrals


Analytic continuations of the Horn $H_1$ and $H_5$ functions


Analytic estimation of parameters of stochastic volatility diffusion models with exponential-affine characteristic function for currency option pricing


Analytic relationship of relative synchronizability to network structure and motifs


Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net


Analytic solution of Chemical Evolution Models with Type Ia SNe


Analytic solution to the dynamical friction acting on circularly moving perturbers


Analytic solutions for the motion of spinning particles near spherically symmetric black holes and exotic compact objects


Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models


Analytical Approximation of the ELBO Gradient in the Context of the Clutter Problem


Analytical Characterization and Design Space Exploration for Optimization of CNNs


Analytical Composition of Differential Privacy via the Edgeworth Accountant


Analytical Derivation and Comparison of Alarm Similarity Measures


Analytical Formulation of the Block-Constrained Configuration Model


Analytical Lyapunov Function Discovery: An RL-based Generative Approach


Analytical Model for Gaussian Disorder Traps in Organic Thin-Film Transistor


Analytical Models of the Performance of C-V2X Mode 4 Vehicular Communications


Analytical Models of the Performance of IEEE 802.11p Vehicle to Vehicle Communications


Analytical Moment Regularizer for Gaussian Robust Networks


Analytical Reconstruction of Periodically Deformed Objects in Time-resolved CT


Analytical amplitudes from numerical solutions of the scattering equations


Analytical and experimental study of center line miscalibrations in Mø lmer-Sørensen gates


Analytical and numerical solutions to the three-phase Stefan problem with simultaneous occurrences of melting, solidification, boiling, and condensation phenomena


Analytical approach to core-halo structure of fuzzy dark matter


Analytical approach to higher-order correlation functions in U(1) symmetric systems


Analytical approximations as close as desired to special functions


Analytical bounds on the local Lipschitz constants of ReLU networks


Analytical classical density functionals from an equation learning network


Analytical computation of the epidemic threshold on temporal networks


Analytical determination of the structure and nuclear abundances of the outer crust of a cold nonaccreted neutron star


Analytical determination of the structure of the outer crust of a cold nonaccreted neutron star: extension to strongly quantizing magnetic fields


Analytical evaluation of AdS${}_4$ Witten diagrams as flat space multi-loop Feynman integrals


Analytical external spherical solutions in entangled relativity


Analytical formulas for calculating the thermal diffusivity of cylindrical shell and spherical shell samples


Analytical halo models of anisotropic tidal fields


Analytical insights into the interplay of momentum, multiplicity and the speed of sound in heavy-ion collisions


Analytical solutions for optimal photon absorption into inhomogeneous spin memories


Analytical tolerancing of segmented telescope co-phasing for exo-Earth high-contrast imaging


Analytically Separating the Source of the Teukolsky Equation


Analytics, have some humility: a statistical view of fourth-down decision making


Analyze Mass Spectrometry data with Artificial Intelligence to assist the understanding of past habitability of Mars and provide insights for future missions


Analyzing Activity and Suspension Patterns of Twitter Bots Attacking Turkish Twitter Trends by a Longitudinal Dataset


Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models


Analyzing Air Pollutant Concentrations in New Delhi, India


Analyzing And Editing Inner Mechanisms Of Backdoored Language Models


Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology


Analyzing Byte-Pair Encoding on Monophonic and Polyphonic Symbolic Music: A Focus on Musical Phrase Segmentation


Analyzing ChatGPT's Aptitude in an Introductory Computer Engineering Course


Analyzing Cloud Optical Properties Using Sky Cameras


Analyzing Commonsense Emergence in Few-shot Knowledge Models


Analyzing Compositionality-Sensitivity of NLI Models


Analyzing Configuration Dependencies of File Systems


Analyzing Consumer IoT Traffic from Security and Privacy Perspectives: a Comprehensive Survey


Analyzing Continuous Semantic Shifts with Diachronic Word Similarity Matrices


Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images


Analyzing Data-Centric Properties for Graph Contrastive Learning


Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning


Analyzing Differentiable Fuzzy Logic Operators


Analyzing Dynamic Adversarial Training Data in the Limit


Analyzing Encoded Concepts in Transformer Language Models


Analyzing Federated Learning through an Adversarial Lens


Analyzing Film Adaptation through Narrative Alignment


Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns


Analyzing Fitts' Law using Offline and Online Optimal Control with Motor Noise


Analyzing Gender Bias within Narrative Tropes


Analyzing Gender Representation in Multilingual Models


Analyzing General-Purpose Deep-Learning Detection and Segmentation Models with Images from a Lidar as a Camera Sensor


Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System


Analyzing Generalization of Vision and Language Navigation to Unseen Outdoor Areas


Analyzing Green View Index and Green View Index best path using Google Street View and deep learning


Analyzing Human-Human Interactions: A Survey


Analyzing Images of Legal Documents: Toward Multi-Modal LLMs for Access to Justice


Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library


Analyzing Intentional Behavior in Autonomous Agents under Uncertainty


Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecasting


Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations


Analyzing Language Bias Between French and English in Conventional Multilingual Sentiment Analysis Models


Analyzing Large Language Models for Classroom Discussion Assessment


Analyzing Leakage of Personally Identifiable Information in Language Models


Analyzing Logs of Large-Scale Software Systems using Time Curves Visualization


Analyzing Memorization in Large Language Models through the Lens of Model Attribution


Analyzing Modality Robustness in Multimodal Sentiment Analysis


Analyzing Modular Approaches for Visual Question Decomposition


Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes


Analyzing Multi-Task Learning for Abstractive Text Summarization


Analyzing Neural Discourse Coherence Models


Analyzing Neural Jacobian Methods in Applications of Visual Servoing and Kinematic Control


Analyzing Neural Networks Based on Random Graphs


Analyzing Noise Models and Advanced Filtering Algorithms for Image Enhancement


Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention Strategies


Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings


Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity


Analyzing Population-Level Trials as N-of-1 Trials: an Application to Gait


Analyzing Redundancy in Pretrained Transformer Models


Analyzing Reinforcement Learning Benchmarks with Random Weight Guessing


Analyzing Research Trends in Inorganic Materials Literature Using NLP


Analyzing Robustness of End-to-End Neural Models for Automatic Speech Recognition


Analyzing Semantic Change through Lexical Replacements


Analyzing Semantic Faithfulness of Language Models via Input Intervention on Question Answering


Analyzing Single Cell RNA Sequencing with Topological Nonnegative Matrix Factorization


Analyzing Social Biases in Japanese Large Language Models


Analyzing Social Media Activities at Bellingcat


Analyzing Solar Irradiance Variation From GPS and Cameras


Analyzing Structures in the Semantic Vector Space: A Framework for Decomposing Word Embeddings


Analyzing Sustainability Reports Using Natural Language Processing


Analyzing Taiwanese traffic patterns on consecutive holidays through forecast reconciliation and prediction-based anomaly detection techniques


Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding


Analyzing Transformers in Embedding Space


Analyzing Transport Policies in Developing Countries with ABM


Analyzing Uncertainty in Neural Machine Translation


Analyzing User Ideologies and Shared News During the 2019 Argentinian Elections


Analyzing Vision Transformers for Image Classification in Class Embedding Space


Analyzing analytical methods: The case of phonology in neural models of spoken language


Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models


Analyzing and Debugging Normative Requirements via Satisfiability Checking


Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation


Analyzing and Evaluating Faithfulness in Dialogue Summarization


Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction


Analyzing and Mitigating Object Hallucination in Large Vision-Language Models


Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning


Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems


Analyzing billion-objects catalog interactively: Apache Spark for physicists


Analyzing black-hole ringdowns II: data conditioning


Analyzing constrained LLM through PDFA-learning


Analyzing covariate clustering effects in healthcare cost subgroups: insights and applications for prediction


Analyzing drop coalescence in microfluidic device with a deep learning generative model


Analyzing dynamic decision-making models using Chapman-Kolmogorov equations


Analyzing electric vehicle, load and photovoltaic generation uncertainty using publicly available datasets


Analyzing gender inequality through large-scale Facebook advertising data


Analyzing large frequency disruptions in power systems using large deviations theory


Analyzing phonetic structure of Mandarin using Audacity


Analyzing rotational bands in odd-mass nuclei using Effective Field Theory and Bayesian methods


Analyzing social media with crowdsourcing in Crowd4SDG


Analyzing the Attention Heads for Pronoun Disambiguation in Context-aware Machine Translation Models


Analyzing the Benefits of Prototypes for Semi-Supervised Category Learning


Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information


Analyzing the Context of Bug-Fixing Changes in the OpenStack Cloud Computing Platform


Analyzing the Domain Shift Immunity of Deep Homography Estimation


Analyzing the Effect of Combined Degradations on Face Recognition


Analyzing the Effect of Sampling in GNNs on Individual Fairness


Analyzing the Effectiveness of Quantum Annealing with Meta-Learning


Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering


Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance


Analyzing the Engagement of Social Relationships During Life Event Shocks in Social Media


Analyzing the Evolution and Maintenance of Quantum Software Repositories


Analyzing the Feature Extractor Networks for Face Image Synthesis


Analyzing the Generalization and Reliability of Steering Vectors


Analyzing the Habitable Zones of Circumbinary Planets Using Machine Learning


Analyzing the Impact of Climate Change With Major Emphasis on Pollution: A Comparative Study of ML and Statistical Models in Time Series Data


Analyzing the Impact of Companies on AI Research Based on Publications


Analyzing the Impact of Copying-and-Pasting Vulnerable Solidity Code Snippets from Question-and-Answer Websites


Analyzing the Impact of Design Factors on Solar Module Thermomechanical Durability Using Interpretable Machine Learning Techniques


Analyzing the Impact of Meteorological Parameters on Rainfall Prediction


Analyzing the Impact of the Automatic Ball-Strike System in Professional Baseball: A Case Study on KBO League Data


Analyzing the Intensity of Complaints on Social Media


Analyzing the Internals of Neural Radiance Fields


Analyzing the Perceived Severity of Cybersecurity Threats Reported on Social Media


Analyzing the Performance of Large Language Models on Code Summarization


Analyzing the Performance of the Inter-Blockchain Communication Protocol


Analyzing the Robustness of Nearest Neighbors to Adversarial Examples


Analyzing the Role of Model Uncertainty for Electronic Health Records


Analyzing the Role of Semantic Representations in the Era of Large Language Models


Analyzing the Role of the DSO in Electricity Trading of VPPs via a Stackelberg Game Model


Analyzing the Safety of Japanese Large Language Models in Stereotype-Triggering Prompts


Analyzing the Surprising Variability in Word Embedding Stability Across Languages


Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation


Analyzing the impact of feature selection on the accuracy of heart disease prediction


Analyzing the impact of semantic LoD3 building models on image-based vehicle localization


Analyzing the impact of speaker localization errors on speech separation for automatic speech recognition


Analyzing the speed of convergence in nonsmooth optimization via the Goldstein subdifferential with application to descent methods


Analyzing urban scaling laws in the United States over 115 years


Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections


Anaphor Assisted Document-Level Relation Extraction


Anaphoric Structure Emerges Between Neural Networks


AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking


Anatomical Attention Alignment representation for Radiology Report Generation


Anatomical Data Augmentation via Fluid-based Image Registration


Anatomical Foundation Models for Brain MRIs


Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis


Anatomical Mesh-Based Virtual Fixtures for Surgical Robots


Anatomical feature-prioritized loss for enhanced MR to CT translation


Anatomical grounding pre-training for medical phrase grounding


Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models


Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation


Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs


Anatomy of Multipath BGP Deployment in a Large ISP Network


Anatomy of an AI-powered malicious social botnet


Anatomy of the band structure of the newest apparent near-ambient superconductor LuH$_{3-x}$N$_x$


Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound


Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth


Anatomy-Driven Pathology Detection on Chest X-rays


Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays


Anatomy-Informed Deep Learning and Radiomics for Automated Neurofibroma Segmentation in Whole-Body MRI


Anatomy-aware 3D Human Pose Estimation with Bone-based Pose Decomposition


Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs


Anatomy-constrained modelling of image-derived input functions in dynamic PET using multi-organ segmentation


Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration


Anatomy-guided domain adaptation for 3D in-bed human pose estimation


Anchor Attention, Small Cache: Code Generation with Large Language Models


Anchor Diffusion for Unsupervised Video Object Segmentation


Anchor Learning with Potential Cluster Constraints for Multi-view Clustering


Anchor Points: Benchmarking Models with Much Fewer Examples


Anchor Prediction: Automatic Refinement of Internet Links


Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images


Anchor Sampling for Federated Learning with Partial Client Participation


Anchor Space Optimal Transport as a Fast Solution to Multiple Optimal Transport Problems


Anchor Token Matching: Implicit Structure Locking for Training-free AR Image Editing


Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning


Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection


Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent


Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud


Anchor-free Oriented Proposal Generator for Object Detection


Anchor-free Small-scale Multispectral Pedestrian Detection


AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets


AnchorAttention: Difference-Aware Sparse Attention with Stripe Granularity


AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses


Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions


Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment


Anchoring Path for Inductive Relation Prediction in Knowledge Graphs


Anchors no more: Using peculiar velocities to constrain $H_0$ and the primordial Universe without calibrators


Ancient Chinese Word Segmentation and Part-of-Speech Tagging Using Distant Supervision


Ancient Painting to Natural Image: A New Solution for Painting Processing


Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy


Ancilla dimension in quantum channel discrimination


Ancilla mediated qubit readout and heralded entanglement between rare-earth dopant ions in crystals


Ancillary Services Acquisition Model: considering market interactions in policy design


And the Bit Goes Down: Revisiting the Quantization of Neural Networks


Anderson Accelerated Operator Splitting Methods for Convex-nonconvex Regularized Problems


Anderson Acceleration for Geometry Optimization and Physics Simulation


Anderson Acceleration for Nonconvex ADMM Based on Douglas-Rachford Splitting


Anderson acceleration of gradient methods with energy for optimization problems


Andes_gym: A Versatile Environment for Deep Reinforcement Learning in Power Systems


AndroLibZoo: A Reliable Dataset of Libraries Based on Software Dependency Analysis


Android Malware Family Classification Based on Resource Consumption over Time


AndroidGen: Building an Android Language Agent under Data Scarcity


AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents


AnesBench: Multi-Dimensional Evaluation of LLM Reasoning in Anesthesiology


AneuPy: An open source Python tool for creating simulation-ready geometries of abdominal aortic aneurysms


Angio-Diff: Learning a Self-Supervised Adversarial Diffusion Model for Angiographic Geometry Generation


AngioMoCo: Learning-based Motion Correction in Cerebral Digital Subtraction Angiography


Angle Basis: a Generative Model and Decomposition for Functional Connectivity


Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation


Angle based dynamic learning rate for gradient descent


Angle of Arrival and Centimeter Distance Estimation on a Smart UWB Sensor Node


Angler: Helping Machine Translation Practitioners Prioritize Model Improvements


Angrier Birds: Bayesian reinforcement learning


Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution


Angular Control Charts: A New Perspective for Monitoring Reliability of Multi-State Systems


Angular Distribution of Gamma Rays Produced in Proton-Proton Collisions


Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration


Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder


Angular bispectrum of matter number counts in cosmic structures


AniCrafter: Customizing Realistic Human-Centric Animation via Avatar-Background Conditioning in Video Diffusion Models


AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars


AniFormer: Data-driven 3D Animation with Transformer


AniFrame: A Programming Language for 2D Drawing and Frame-Based Animation


AniMAIRE - A New Openly Available Tool for Calculating Atmospheric Ionising Radiation Dose Rates and Single Event Effects During Anisotropic Conditions


AniTalker: Animate Vivid and Diverse Talking Faces through Identity-Decoupled Facial Motion Encoding


AniWho : A Quick and Accurate Way to Classify Anime Character Faces in Images


Anima: Adaptive Personalized Software Keyboard


Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos


Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding


Animal Movement Models for Migratory Individuals and Groups


Animatable 3D Gaussian: Fast and High-Quality Reconstruction of Multiple Human Avatars


Animatable Neural Radiance Fields from Monocular RGB Videos


Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation


AnimateAnything: Fine-Grained Open Domain Image Animation with Motion Guidance


AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data


AnimateZero: Video Diffusion Models are Zero-Shot Image Animators


Animating Arbitrary Objects via Deep Motion Transfer


Animating collider processes with Event-time-frame Format


Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance


Anime-to-Real Clothing: Cosplay Costume Generation via Image-to-Image Translation


AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models


AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction


AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies


AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos


AnisoGNN: graph neural networks generalizing to anisotropic properties of polycrystals


AnisoTag: 3D Printed Tag on 2D Surface via Reflection Anisotropy


Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI


Anisotropic Convolutional Networks for 3D Semantic Scene Completion


Anisotropic Counts-in-Cells in Redshift Space: A New Route to Cosmological Constraints from Galaxy Surveys


Anisotropic Stroke Control for Multiple Artists Style Transfer


Anisotropic induced polarization modeling with neural networks and effective medium theory


Anisotropic power diagrams for polycrystal modelling: efficient generation of curved grains via optimal transport


Anisotropic thermal characterisation of large-format lithium-ion pouch cells


Anisotropies of cosmological gravitational wave backgrounds in non-flat spacetime


Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling


AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark


AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation


Annealed Importance Sampling with q-Paths


Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing


Annealed Stein Variational Gradient Descent for Improved Uncertainty Estimation in Full-Waveform Inversion


Annealed Winner-Takes-All for Motion Forecasting


Annealed variational mixtures for disease subtyping and biomarker discovery


Annif at SemEval-2025 Task 5: Traditional XMTC augmented by LLMs


AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports


AnnoDPO: Protein Functional Annotation Learning with Direct Preference Optimization


AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators


AnnoTheia: A Semi-Automatic Annotation Toolkit for Audio-Visual Speech Technologies


Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLP


Annotated Hypergraphs: Models and Applications


Annotating Columns with Pre-trained Language Models


Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection


Annotating FrameNet via Structure-Conditioned Language Generation


Annotating Slack Directly on Your Verilog: Fine-Grained RTL Timing Evaluation for Early Optimization


Annotating and Auditing the Safety Properties of Unsafe Rust


Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization


Annotating and Inferring Compositional Structures in Numeral Systems Across Languages


Annotating sleep states in children from wrist-worn accelerometer data using Machine Learning


Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis


Annotation Curricula to Implicitly Train Non-Expert Annotators


Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future


Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions


Annotation Sensitivity: Training Data Collection Methods Affect Model Performance


Annotation aggregation of multi-label ecological datasets via Bayesian modeling


Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts


Annotation of Soft Onsets in String Ensemble Recordings


Annotation-Efficient Task Guidance for Medical Segment Anything


Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation


Annotation-efficient deep learning for automatic medical image segmentation


Annotation-efficient learning for OCT segmentation


Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost


Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models


Annotator-Centric Active Learning for Subjective NLP Tasks


Annual modulations from secular variations: not relaxing DAMA?


Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens


AnoDFDNet: A Deep Feature Difference Network for Anomaly Detection


AnoFPDM: Anomaly Segmentation with Forward Process of Diffusion Models for Brain MRI


AnoML-IoT: An End to End Re-configurable Multi-protocol Anomaly Detection Pipeline for Internet of Things


AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies


AnoVox: A Benchmark for Multimodal Anomaly Detection in Autonomous Driving


AnomaLLMy -- Detecting anomalous tokens in black-box LLMs through low-confidence single-token predictions


Anomal-E: A Self-Supervised Network Intrusion Detection System based on Graph Neural Networks


Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data


Anomalous Jet Identification via Sequence Modeling


Anomalous Motion Detection on Highway Using Deep Learning


Anomalous Sound Detection using Spectral-Temporal Information Fusion


Anomalous diffusion and long-range memory in the scaled voter model


Anomalous diffusion dynamics of learning in deep neural networks


Anomalous diffusion in nonlinear transformations of the noisy voter model


Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays


Anomaly Detection With Partitioning Overfitting Autoencoder Ensembles


Anomaly Detection and Prototype Selection Using Polyhedron Curvature


Anomaly Detection based on Markov Data: A Statistical Depth Approach


Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs


Anomaly Detection by Recombining Gated Unsupervised Experts


Anomaly Detection for Automated Data Quality Monitoring in the CMS Detector


Anomaly Detection for Hybrid Butterfly Subspecies via Probability Filtering


Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural Networks


Anomaly Detection for Solder Joints Using $β$-VAE


Anomaly Detection in Aerial Videos with Transformers


Anomaly Detection in Collider Physics via Factorized Observables


Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect Communication


Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models


Anomaly Detection in Emails using Machine Learning and Header Information


Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset


Anomaly Detection in Multi-Agent Trajectories for Automated Driving


Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction


Anomaly Detection in Networks via Score-Based Generative Models


Anomaly Detection in Video Sequences: A Benchmark and Computational Model


Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks


Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework


Anomaly Detection on Financial Time Series by Principal Component Analysis and Neural Networks


Anomaly Detection through Unsupervised Federated Learning


Anomaly Detection to identify Transients in LSST Time Series Data


Anomaly Detection under Coordinate Transformations


Anomaly Detection under Distribution Shift


Anomaly Detection using Principles of Human Perception


Anomaly Detection via Self-organizing Map


Anomaly Detection with Conditioned Denoising Diffusion Models


Anomaly Detection with Score Distribution Discrimination


Anomaly Detection with Selective Dictionary Learning


Anomaly Detection with Variance Stabilized Density Estimation


Anomaly Detection-Based Unknown Face Presentation Attack Detection


Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels


Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol


Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection


Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning


Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task


Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors


Anomaly and Novelty detection for robust semi-supervised learning


Anomaly detection and community detection in networks


Anomaly detection in high-energy physics using a quantum autoencoder


Anomaly detection in radio galaxy data with trainable COSFIRE filters


Anomaly detection in surveillance videos using transformer based attention model


Anomaly detection in the Zwicky Transient Facility DR3


Anomaly detection using prediction error with Spatio-Temporal Convolutional LSTM


Anomaly detection with superexperts under delayed feedback


Anomaly-Flow: A Multi-domain Federated Generative Adversarial Network for Distributed Denial-of-Service Detection


Anomaly-aware multiple instance learning for rare anemia disorder classification


AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme


AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks


AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2


AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model


AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models


AnomalyHop: An SSL-based Image Anomaly Localization Method


AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models


AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios


AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion


Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example


Anonymity Analysis of the Umbra Stealth Address Scheme on Ethereum


Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models


Anonymization for Skeleton Action Recognition


Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks


Anonymized BERT: An Augmentation Approach to the Gendered Pronoun Resolution Challenge


Anonymizing Speech: Evaluating and Designing Speaker Anonymization Techniques


Anonymous Hedonic Game for Task Allocation in a Large-Scale Multiple Agent System


Anonymous On-line Communication Between Program Analyses


Anonymous State Pinning for Private Blockchains


Another Approximation of the First-Passage Time Densities for the Ratcliff Diffusion Decision Model


Another Dead End for Morphological Tags? Perturbed Inputs and Parsing


Another Marčenko-Pastur law for Kendall's tau


Another Vertical View: A Hierarchical Network for Heterogeneous Trajectory Prediction via Spectrums


Another approach to build Lyapunov functions for the first order methods in the quadratic case


Another approach to get derivative of odd-power


Another look at inference after prediction


Anoxygenic photosynthesis and the delayed oxygenation of Earth's atmosphere


Answer Consolidation: Formulation and Benchmarking


Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering


Answer Refinement Modification: Refinement Type System for Algebraic Effects and Handlers


Answer Retrieval in Legal Community Question Answering


Answer Set Networks: Casting Answer Set Programming into Deep Learning


Answer Set Solving with Bounded Treewidth Revisited


Answer Summarization for Technical Queries: Benchmark and New Approach


Answer Them All! Toward Universal Visual Question Answering Models


Answer is All You Need: Instruction-following Text Embedding via Answering the Question


Answer-Driven Visual State Estimator for Goal-Oriented Visual Dialogue


Answer-based Adversarial Training for Generating Clarification Questions


AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents


AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization


Answering Ambiguous Questions via Iterative Prompting


Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization


Answering Complex Open-domain Questions Through Iterative Query Generation


Answering Diverse Questions via Text Attached with Key Audio-Visual Clues


Answering Multi-Dimensional Range Queries under Local Differential Privacy


Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder


Answering Open-Domain Multi-Answer Questions via a Recall-then-Verify Framework


Answering Open-Domain Questions of Varying Reasoning Steps from Text


Answering Private Linear Queries Adaptively using the Common Mechanism


Answering Questions about Data Visualizations using Efficient Bimodal Fusion


Answering Questions by Meta-Reasoning over Multiple Chains of Thought


Ant Colony Optimization for Cooperative Inspection Path Planning Using Multiple Unmanned Aerial Vehicles


Ant Colony Optimization for Mining Gradual Patterns


Ant Colony Sampling with GFlowNets for Combinatorial Optimization


AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?


Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation


Antenna Failure Resilience: Deep Learning-Enabled Robust DOA Estimation with Single Snapshot Sparse Arrays


AnthroScore: A Computational Linguistic Measure of Anthropomorphism


Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation


Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric


Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models


Anti-DreamBooth: Protecting users from personalized text-to-image synthesis


Anti-LM Decoding for Zero-shot In-context Machine Translation


Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks


Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice


Anti-Reference: Universal and Immediate Defense Against Reference-Based Generation


Anti-Retroactive Interference for Lifelong Learning


Anti-Symmetric DGN: a stable architecture for Deep Graph Networks


Anti-Transfer Learning for Task Invariance in Convolutional Neural Networks for Speech Processing


Anti-aliasing Predictive Coding Network for Future Video Frame Prediction


Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation


Anti-noise window: Subjective perception of active noise reduction and effect of informational masking


Anti-phase synchronization in a population of swarmalators


Anti-seizure medication tapering correlates with daytime delta band power reduction in the cortex


Anti-symmetric and Positivity Preserving Formulation of a Spectral Method for Vlasov-Poisson Equations


AntiBenford Subgraphs: Unsupervised Anomaly Detection in Financial Networks


AntiCopyPaster 2.0: Whitebox just-in-time code duplicates extraction


AntiFold: Improved antibody structure-based design using inverse folding


AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge


Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding


Antibody Watch: Text Mining Antibody Specificity from the Literature


Anticancer Peptides Classification using Kernel Sparse Representation Classifier


Anticipated versus Actual Effects of Platform Design Change: A Case Study of Twitter's Character Limit


Anticipating Daily Intention using On-Wrist Motion Triggered Sensing


Anticipating critical transitions in multidimensional systems driven by time- and state-dependent noise


Anticipating dengue outbreaks using a novel hybrid ARIMA-ARNN model with exogenous variables


Anticipation in Human-Robot Cooperation: A Recurrent Neural Network Approach for Multiple Action Sequences Prediction


Anticipation of Oligocene's climate heartbeat by simplified eigenvalue estimation


Anticipation-Free Training for Simultaneous Machine Translation


Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation


Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables


Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception


AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural Networks


AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors


Antiferromagnetic Excitonic Insulator State in Sr3Ir2O7


Antifragile Control Systems: The case of mobile robot trajectory tracking in the presence of uncertainty


Antimodes and Graphical Anomaly Exploration via Adaptive Depth Quantile Functions


Antipodes of Label Differential Privacy: PATE and ALIBI


Antithetic Sampling for Top-k Shapley Identification


Ants can orienteer a thief in their robbery


Ants, robots, humans: a self-organizing, complex systems modeling approach


AnuraSet: A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring


Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool


Anxolotl, an Anxiety Companion App -- Stress Detection


Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection


Any Way You Look At It: Semantic Crossview Localization and Mapping with LiDAR


Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture


Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs


Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand


Any-dimensional equivariant neural networks


Any-k: Anytime Top-k Tree Pattern Retrieval in Labeled Graphs


Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning


Any-to-Any Generation via Composable Diffusion


Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate


Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss


AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM


AnyBipe: An End-to-End Framework for Training and Deploying Bipedal Robots Guided by Large Language Models


AnyCalib: On-Manifold Learning for Model-Agnostic Single-View Camera Calibration


AnyCall: Fast and Flexible System-Call Aggregation


AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos


AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation


AnyDoor: Zero-shot Object-level Image Customization


AnyGraph: Graph Foundation Model in the Wild


AnyLoc: Towards Universal Visual Place Recognition


AnyLoss: Transforming Classification Metrics into Loss Functions


AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language Model


AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models


AnySR: Realizing Image Super-Resolution as Any-Scale, Any-Resource


AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities


AnyStar: Domain randomized universal star-convex 3D instance segmentation


AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation


AnyTSR: Any-Scale Thermal Super-Resolution for UAV


AnyTaskTune: Advanced Domain-Specific Solutions through Task-Fine-Tuning


AnyText2: Visual Text Generation and Editing With Customizable Attributes


AnyText: Multilingual Visual Text Generation And Editing


AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls


AnyTop: Character Animation Diffusion with Any Topology


AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks


Anycost GANs for Interactive Image Synthesis and Editing


Anything-3D: Towards Single-view Anything Reconstruction in the Wild


Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search


Anytime Continual Learning for Open Vocabulary Classification


Anytime Dense Prediction with Confidence Adaptivity


Anytime Inference with Distilled Hierarchical Neural Ensembles


Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic


Anytime Neural Prediction via Slicing Networks Vertically


Anytime Ranking on Document-Ordered Indexes


Anytime Sampling for Autoregressive Models via Ordered Autoencoding


Anytime Valid Tests of Conditional Independence Under Model-X


Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations


AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis


AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge Integration


Aortic root landmark localization with optimal transport loss for heatmap regression


ApHMM: Accelerating Profile Hidden Markov Models for Fast and Energy-Efficient Genome Analysis


ApSense: Data-driven Algorithm in PPG-based Sleep Apnea Sensing


Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources


Apache Submarine: A Unified Machine Learning Platform Made Simple


Aperture Diffraction for Compact Snapshot Spectral Imaging


ApexNav: An Adaptive Exploration Strategy for Zero-Shot Object Navigation with Target-centric Semantic Fusion


ApiQ: Finetuning of 2-Bit Quantized Large Language Model


ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees


Aplicación de redes neuronales convolucionales profundas al diagnóstico asistido de la enfermedad de Alzheimer


Apocalypse When? No Certainty of a Milky Way -- Andromeda Collision


Apollo: A Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People


Apollo: A Sequencing-Technology-Independent, Scalable, and Accurate Assembly Polishing Algorithm


Apollo: Band-sequence Modeling for High-Quality Audio Restoration


Apollo: Zero-shot MultiModal Reasoning with Multiple Experts


App Review Driven Collaborative Bug Finding


App's Auto-Login Function Security Testing via Android OS-Level Virtualization


AppBench: Planning of Multiple APIs from Various APPs for Complex User Instruction


AppGNN: Approximation-Aware Functional Reverse Engineering using Graph Neural Networks


AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents


Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving


Apparent structural changes in contact patterns during COVID-19 were driven by survey design and long-term demographic trends


Apparently similar neuronal dynamics may lead to different collective repertoire


Appeal prediction for AI up-scaled Images


AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios


Appearance Editing with Free-viewpoint Neural Rendering


Appearance of Random Matrix Theory in Deep Learning


Appearance-Preserving 3D Convolution for Video-based Person Re-identification


Appearance-and-Relation Networks for Video Classification


Appearance-based gaze estimation enhanced with synthetic images using deep neural networks


Appearance-free Tripartite Matching for Multiple Object Tracking


ApplE: An Applied Ethics Ontology with Event Context


Appliance Detection Using Very Low-Frequency Smart Meter Time Series


Applicability and Surrogacy of Uncorrelated Airspace Encounter Models at Low Altitudes


Applicability and interpretation of the deterministic weighted cepstral distance


Applicability of spatial early warning signals to complex network dynamics


Applicability of the Minimal Dominating Set for Influence Maximisation in Multilayer Networks


Application Performance Modeling via Tensor Completion


Application Specific Compression of Deep Learning Models


Application and Simulation of Computerized Adaptive Tests Through the Package catsim


Application of BERT in Wind Power Forecasting-Teletraan's Solution in Baidu KDD Cup 2022


Application of Bayesian graphs to SN Ia data analysis and compression


Application of Clustering Algorithms for Dimensionality Reduction in Infrastructure Resilience Prediction Models


Application of Convolutional Neural Networks to Identify Stellar Feedback Bubbles in CO Emission


Application of Convolutional Neural Networks to time domain astrophysics. 2D image analysis of OGLE light curves


Application of Deep Learning Methods Combined with Physical Background in Wide Field of View Imaging Atmospheric Cherenkov Telescopes


Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique


Application of Facial Recognition using Convolutional Neural Networks for Entry Access Control


Application of Genetic Algorithm for More Efficient Multi-Layer Thickness Optimization in Solar Cells


Application of Ghost-DeblurGAN to Fiducial Marker Detection


Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy


Application of Langevin Dynamics to Advance the Quantum Natural Gradient Optimization Algorithm


Application of Magnus expansion for the quantum dynamics of $Λ$-systems under periodic driving and assessment of the rotating wave approximation


Application of Multivariate Selective Bandwidth Kernel Density Estimation for Data Correction


Application of Orbital Stability and Tidal Migration Constraints for Exomoon Candidates


Application of Tabular Transformer Architectures for Operating System Fingerprinting


Application of Transfer Learning to Sign Language Recognition using an Inflated 3D Deep Convolutional Neural Network


Application of Transformers based methods in Electronic Medical Records: A Systematic Literature Review


Application of Word2vec in Phoneme Recognition


Application of an adaptive model hierarchy to parametrized optimal control problems


Application of blockchain for secure data transmission in distributed state estimation


Application of deep and reinforcement learning to boundary control problems


Application of deep learning to large scale riverine flow velocity estimation


Application of deep learning to the estimation of normalization coefficients in diffusion-based covariance models


Application of graph theory in quantum computer science


Application of linear regression method to the deep reinforcement learning in continuous action cases


Application of machine learning regression models to inverse eigenvalue problems


Application of machine learning technique for a fast forecast of aggregation kinetics in space-inhomogeneous systems


Application of neural networks to synchro-Compton blazar emission models


Application of neural-network hybrid models in estimating the infection functions of nonlinear epidemic models


Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery


Application of signal separation to diffraction image compression and serial crystallography


Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data


Application-Driven Exascale: The JUPITER Benchmark Suite


Application-Layer Clock Synchronization for Wearables Using Skin Electric Potentials Induced by Powerline Radiation


Application-level Benchmarking of Quantum Computers using Nonlocal Game Strategies


Applications of Automatic Differentiation in Image Registration


Applications of Deep Learning in Fundus Images: A Review


Applications of Graph Integration to Function Comparison and Malware Classification


Applications of Induced Tensor Norms to Guidance Navigation and Control


Applications of Machine Learning to Detecting Fast Neutrino Flavor Instabilities in Core-Collapse Supernova and Neutron Star Merger Models


Applications of Nature-Inspired Metaheuristic Algorithms for Tackling Optimization Problems Across Disciplines


Applications of No-Collision Transportation Maps in Manifold Learning


Applications of Scientific Machine Learning for the Analysis of Functionally Graded Porous Beams


Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study


Applications of deep learning in stock market prediction: recent progress


Applications of optimal nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators


Applied Causal Inference Powered by ML and AI


Applied Machine-Learning Models to Identify Spectral Sub-Types of M Dwarfs from Photometric Surveys


Applied Measure Theory for Probabilistic Modeling


Applied Post Quantum Cryptography: A Practical Approach for Generating Certificates in Industrial Environments


Apply Artificial Neural Network to Solving Manpower Scheduling Problem


Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation


Applying Attribution Explanations in Truth-Discovery Quantitative Bipolar Argumentation Frameworks


Applying Automatic Text Summarization for Fake News Detection


Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Controlled Experiment


Applying Bayesian Inference and deterministic anisotropy to retrieve the molecular structure $|Ψ(\boldsymbol{R})|^2$ distribution from gas-phase diffraction experiments


Applying Bayesian Optimization with Gaussian Process Regression to Computational Fluid Dynamics Problems