Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation


Bauplan: zero-copy, scale-up FaaS for data pipelines


BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations


BayReL: Bayesian Relational Learning for Multi-omics Data Integration


BayTTA: Uncertainty-aware medical image classification with optimized test-time augmentation using Bayesian model averaging


Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning


Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information


Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks


Bayes in Wonderland! Predictive supervised classification inference hits unpredictability


Bayes optimal learning of attention-indexed models


Bayes' Power for Explaining In-Context Learning Generalizations


Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields


Bayes, not Naïve: Security Bounds on Website Fingerprinting Defenses


Bayes-Adaptive Deep Model-Based Policy Optimisation


Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation


Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees


Bayes-Optimal Classifiers under Group Fairness


Bayes-Optimal Fair Classification with Linear Disparity Constraints via Pre-, In-, and Post-processing


Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example


Bayes-optimal inference for spreading processes on random networks


Bayes-optimal learning of an extensive-width neural network from quadratically many samples


Bayes-optimal limits in structured PCA, and how to reach them


BayesBlend: Easy Model Blending using Pseudo-Bayesian Model Averaging, Stacking and Hierarchical Stacking in Python


BayesCPclust: A Bayesian Approach for Clustering Constant-Wise Change-Point Data


BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks


BayesDAG: Gradient-Based Posterior Inference for Causal Discovery


BayesDLL: Bayesian Deep Learning Library


BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference


BayesFBHborrow: An R Package for Bayesian borrowing for time-to-event data from a flexible baseline hazard


BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture


BayesFlow: Learning complex stochastic models with invertible neural networks


BayesGmed: An R-package for Bayesian Causal Mediation Analysis


BayesGrad: Explaining Predictions of Graph Convolutional Networks


BayesOD: A Bayesian Approach for Uncertainty Estimation in Deep Object Detectors


BayesPCN: A Continually Learnable Predictive Coding Associative Memory


BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction


BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression


BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators


BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym


Bayesian Active Learning By Distribution Disagreement


Bayesian Active Learning with Fully Bayesian Gaussian Processes


Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization


Bayesian Adaptive Calibration and Optimal Design


Bayesian Adaptive Tucker Decompositions for Tensor Factorization


Bayesian Additive Main Effects and Multiplicative Interaction Models using Tensor Regression for Multi-environmental Trials


Bayesian Additive Regression Trees with Model Trees


Bayesian Algorithms for Kronecker-structured Sparse Vector Recovery With Application to IRS-MIMO Channel Estimation


Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns


Bayesian Analyses of Structural Vector Autoregressions with Sign, Zero, and Narrative Restrictions Using the R Package bsvarSIGNs


Bayesian Analysis of Beta Autoregressive Moving Average Models


Bayesian Analysis of Formula One Race Results: Disentangling Driver Skill and Constructor Advantage


Bayesian Analysis of time dependence of DAMA annual modulation amplitude


Bayesian Approaches to Designing Replication Studies


Bayesian Approaches to Distribution Regression


Bayesian Approaches to Shrinkage and Sparse Estimation


Bayesian Approximate Kernel Regression with Variable Selection


Bayesian Approximations to Hidden Semi-Markov Models for Telemetric Monitoring of Physical Activity


Bayesian Arc Length Survival Analysis Model (BALSAM): Theory and Application to an HIV/AIDS Clinical Trial


Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization


Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation


Bayesian Attitude Estimation with the Matrix Fisher Distribution on SO(3)


Bayesian Autoencoders for Drift Detection in Industrial Environments


Bayesian Bivariate Conway-Maxwell-Poisson Regression Model for Correlated Count Data in Sports


Bayesian Calibration and Uncertainty Quantification for a Large Nutrient Load Impact Model


Bayesian Calibration of Imperfect Computer Models using Physics-Informed Priors


Bayesian Calibration of MEMS Accelerometers


Bayesian Calibration of Win Rate Estimation with LLM Evaluators


Bayesian Causal Forests & the 2022 ACIC Data Challenge: Scalability and Sensitivity


Bayesian Causal Inference with Gaussian Process Networks


Bayesian Chain Graph LASSO Models to Learn Sparse Microbial Networks with Predictors


Bayesian Cluster Enumeration Criterion for Unsupervised Learning


Bayesian Cluster Geographically Weighted Regression for Spatial Heterogeneous Data


Bayesian Cluster Weighted Gaussian Models


Bayesian Clustering via Fusing of Localized Densities


Bayesian Co-navigation: Dynamic Designing of the Materials Digital Twins via Active Learning


Bayesian Concept Bottleneck Models with LLM Priors


Bayesian Continual Learning via Spiking Neural Networks


Bayesian Convolutional Neural Networks for Compressed Sensing Restoration


Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective


Bayesian Covariance Estimation for Multi-group Matrix-variate Data


Bayesian Covariate-Dependent Quantile Directed Acyclic Graphical Models for Individualized Inference


Bayesian Cox model with graph-structured variable selection priors for multi-omics biomarker identification


Bayesian Cumulative Probability Models for Continuous and Mixed Outcomes


Bayesian Curiosity for Efficient Exploration in Reinforcement Learning


Bayesian D-Optimal Experimental Designs via Column Subset Selection


Bayesian Data Analysis in Empirical Software Engineering Research


Bayesian Data Augmentation and Training for Perception DNN in Autonomous Aerial Vehicles


Bayesian Data Augmentation for Partially Observed Stochastic Compartmental Models


Bayesian Decision Making to Localize Visual Queries in 2D


Bayesian Deep Ensembles via the Neural Tangent Kernel


Bayesian Deep Learning and a Probabilistic Perspective of Generalization


Bayesian Deep Learning for Partial Differential Equation Parameter Discovery with Sparse and Noisy Data


Bayesian Deep Learning on a Quantum Computer


Bayesian Design Principles for Frequentist Sequential Learning


Bayesian Design Principles for Offline-to-Online Reinforcement Learning


Bayesian Design for Sampling Anomalous Spatio-Temporal Data


Bayesian Detector Combination for Object Detection with Crowdsourced Annotations


Bayesian Differentiable Physics for Cloth Digitalization


Bayesian Differential Privacy for Machine Learning


Bayesian Discrete Conditional Transformation Models


Bayesian Distance Weighted Discrimination


Bayesian Elastic Net based on Empirical Likelihood


Bayesian Emulation for Computer Models with Multiple Partial Discontinuities


Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes


Bayesian Entropy Estimation for Countable Discrete Distributions


Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network


Bayesian Estimation of Differential Privacy


Bayesian Estimation of Experimental Parameters in Stochastic Inertial Systems: Theory, Simulations, and Experiments with Objects Levitated in Vacuum


Bayesian Estimation of Gaussian Graphical Models with Projection Predictive Selection


Bayesian Estimation of the Degrees of Freedom Parameter of the Student-$t$ Distribution---A Beneficial Re-parameterization


Bayesian Evidential Deep Learning with PAC Regularization


Bayesian Experimental Design for Computed Tomography with the Linearised Deep Image Prior


Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation


Bayesian Experimental Design via Contrastive Diffusions


Bayesian Federated Inference for Survival Models


Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes


Bayesian Floor Field: Transferring people flow predictions across environments


Bayesian Frequency Estimation Under Local Differential Privacy With an Adaptive Randomized Response Mechanism


Bayesian Function-on-Function Regression for Spatial Functional Data


Bayesian Functional Analysis for Untargeted Metabolomics Data with Matching Uncertainty and Small Sample Sizes


Bayesian Functional Graphical Models with Change-Point Detection


Bayesian Functional Mixed-Effects Model with Gaussian Process Responses for Wavelet Spectra of Spatiotemporal Colonic Manometry Signals


Bayesian Functional Registration of fMRI Activation Maps


Bayesian GARCH Modeling of Functional Sports Data


Bayesian Generational Population-Based Training


Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems


Bayesian Genome- and Epigenome-wide Association Studies with Gene Level Dependence


Bayesian Geostatistics Using Predictive Stacking


Bayesian Graph Neural Networks for Molecular Property Prediction


Bayesian Graphical Entity Resolution Using Exchangeable Random Partition Priors


Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources


Bayesian Hierarchical Factor Regression Models to Infer Cause of Death From Verbal Autopsy Data


Bayesian Hierarchical Invariant Prediction


Bayesian Hierarchical Modeling and Analysis for Actigraph Data from Wearable Devices


Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene


Bayesian Hierarchical Modelling of Noisy Gamma Processes: Model Formulation, Identifiability, Model Fitting, and Extensions to Unit-to-Unit Variability


Bayesian Hierarchical Models for Quantitative Estimates for Performance metrics applied to Saddle Search Algorithms


Bayesian Hierarchical Models with Conjugate Full-Conditional Distributions for Dependent Data from the Natural Exponential Family


Bayesian Hyperbolic Multidimensional Scaling


Bayesian I-optimal designs for choice experiments with mixtures


Bayesian Image Analysis in Fourier Space


Bayesian Image Restoration for Poisson Corrupted Image using a Latent Variational Method with Gaussian MRF


Bayesian Image-on-Image Regression via Deep Kernel Learning based Gaussian Processes


Bayesian Image-on-Scalar Regression with a Spatial Global-Local Spike-and-Slab Prior


Bayesian Imputation with Optimal Look-Ahead-Bias and Variance Tradeoff


Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for Paleoceanography


Bayesian Inference General Procedures for A Single-subject Test Study


Bayesian Inference Under Differential Privacy With Bounded Data


Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction


Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding


Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression


Bayesian Inference for Diffusion Processes: Using Higher-Order Approximations for Transition Densities


Bayesian Inference for Evidence Accumulation Models with Regressors


Bayesian Inference for Generalized Linear Model with Linear Inequality Constraints


Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive Stacking


Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis


Bayesian Inference for Structural Vector Autoregressions Identified by Markov-Switching Heteroskedasticity


Bayesian Inference in Nonparanormal Graphical Models


Bayesian Inference of Globular Cluster Properties Using Distribution Functions


Bayesian Inference of Multiple Ising Models for Heterogeneous Public Opinion Survey Networks


Bayesian Inference of Reproduction Number from Epidemiological and Genetic Data Using Particle MCMC


Bayesian Inference of Social Norms as Shared Constraints on Behavior


Bayesian Inference on Brain-Computer Interfaces via GLASS


Bayesian Inference with Certifiable Adversarial Robustness


Bayesian Integration of Information Using Top-Down Modulated WTA Networks


Bayesian Interrupted Time Series for evaluating policy change on mental well-being: an application to England's welfare reform


Bayesian Inverse Graphics for Few-Shot Concept Learning


Bayesian Inverse Reinforcement Learning for Collective Animal Movement


Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization


Bayesian Joint Additive Factor Models for Multiview Learning


Bayesian Joint Spike-and-Slab Graphical Lasso


Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman Filter


Bayesian Learning for Deep Neural Network Adaptation


Bayesian Learning for the Robust Verification of Autonomous Robots


Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances


Bayesian Learning of Clinically Meaningful Sepsis Phenotypes in Northern Tanzania


Bayesian Learning of Graph Substructures


Bayesian Learning of Sum-Product Networks


Bayesian Learning to Discover Mathematical Operations in Governing Equations of Dynamic Systems


Bayesian Learning via Q-Exponential Process


Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense


Bayesian Lesion Estimation with a Structured Spike-and-Slab Prior


Bayesian Linear Models: A compact general set of results


Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks


Bayesian Matrix Completion for Hypothesis Testing


Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization


Bayesian Mean-parameterized Nonnegative Binary Matrix Factorization


Bayesian Mechanics for Stationary Processes


Bayesian Median Autoregression for Robust Time Series Forecasting


Bayesian Meta-Learning Through Variational Gaussian Processes


Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks


Bayesian Metabolic Flux Analysis reveals intracellular flux couplings


Bayesian Methods for the Analysis of Early-Phase Oncology Basket Trials with Information Borrowing across Cancer Types


Bayesian Modal Regression based on Mixture Distributions


Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling


Bayesian Model Comparison in Genetic Association Analysis: Linear Mixed Modeling and SNP Set Testing


Bayesian Model Search for Nonstationary Periodic Time Series


Bayesian Model Selection with Latent Group-Based Effects and Variances with the R Package slgf


Bayesian Model Selection, the Marginal Likelihood, and Generalization


Bayesian Modeling of Dynamic Behavioral Change During an Epidemic


Bayesian Modeling of Language-Evoked Event-Related Potentials


Bayesian Modeling of Multiple Structural Connectivity Networks During the Progression of Alzheimer's Disease


Bayesian Modeling of Zero-Shot Classifications for Urban Flood Detection


Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications


Bayesian Modular and Multiscale Regression


Bayesian Monitoring of COVID-19 in Sweden


Bayesian Multi-Task Transfer Learning for Soft Prompt Tuning


Bayesian Multi-scale Modeling of Factor Matrix without using Partition Tree


Bayesian Multinomial Logistic Regression for Numerous Categories


Bayesian Multiscale Analysis of the Cox Model


Bayesian Multistate Bennett Acceptance Ratio Methods


Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions


Bayesian NeRF: Quantifying Uncertainty with Volume Density for Neural Implicit Fields


Bayesian Networks and Machine Learning for COVID-19 Severity Explanation and Demographic Symptom Classification


Bayesian Networks for Causal Analysis in Socioecological Systems


Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation


Bayesian Neural Network Language Modeling for Speech Recognition


Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty


Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts


Bayesian Neural Networks at Finite Temperature


Bayesian Neural Networks for Genetic Association Studies of Complex Disease


Bayesian Neural Networks with Soft Evidence


Bayesian Neural Scaling Laws Extrapolation with Prior-Fitted Networks


Bayesian Neural Tree Models for Nonparametric Regression


Bayesian Non-Parametric Detection Heterogeneity in Ecological Models


Bayesian Non-Parametric Inference for Lévy Measures in State-Space Models


Bayesian Non-parametric Quantile Process Regression and Estimation of Marginal Quantile Effects


Bayesian Non-parametric Simultaneous Quantile Regression for Complete and Grid Data


Bayesian Non-stationary Linear Bandits for Large-Scale Recommender Systems


Bayesian Nonlinear Support Vector Machines for Big Data


Bayesian Nonparametric Federated Learning of Neural Networks


Bayesian Nonparametric Inference in Elliptic PDEs: Convergence Rates and Implementation


Bayesian Nonparametric Monotone Regression


Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling


Bayesian Nonparametric Spectral Estimation


Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection


Bayesian Nonparametric Trees for Principal Causal Effects


Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization


Bayesian Nonparametrics for Offline Skill Discovery


Bayesian Online Prediction of Change Points


Bayesian Optimal Design of Experiments For Inferring The Statistical Expectation Of A Black-Box Function


Bayesian Optimal Experimental Design for Inferring Causal Structure


Bayesian Optimisation Against Climate Change: Applications and Benchmarks


Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing


Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal


Bayesian Optimised Collection Strategies for Fatigue Strength Testing


Bayesian Optimization -- Multi-Armed Bandit Problem


Bayesian Optimization Meets Self-Distillation


Bayesian Optimization for Categorical and Category-Specific Continuous Inputs


Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing


Bayesian Optimization for Identification of Optimal Biological Dose Combinations in Personalized Dose-Finding Trials


Bayesian Optimization for Iterative Learning


Bayesian Optimization for Min Max Optimization


Bayesian Optimization for Personalized Dose-Finding Trials with Combination Therapies


Bayesian Optimization for auto-tuning GPU kernels


Bayesian Optimization in Variational Latent Spaces with Dynamic Compression


Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences


Bayesian Optimization of Combinatorial Structures


Bayesian Optimization of Function Networks


Bayesian Optimization of Functions over Node Subsets in Graphs


Bayesian Optimization of Metastable Nickel Formation During the Spontaneous Crystallization under Extreme Conditions


Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization


Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization


Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings


Bayesian Optimization over Hybrid Spaces


Bayesian Optimization over Permutation Spaces


Bayesian Optimization under Heavy-tailed Payoffs


Bayesian Optimization under Stochastic Delayed Feedback


Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning


Bayesian Optimization with Conformal Prediction Sets


Bayesian Optimization with Expensive Integrands


Bayesian Optimization with High-Dimensional Outputs


Bayesian Optimization with Unknown Search Space


Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data


Bayesian Overlapping Community Detection in Dynamic Networks


Bayesian Paired-Comparison with the bpcs Package


Bayesian Parameter Estimation for Dynamical Models in Systems Biology


Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting


Bayesian Parameterization of Continuum Battery Models from Featurized Electrochemical Measurements Considering Noise


Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires


Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts


Bayesian Policy Gradients via Alpha Divergence Dropout Inference


Bayesian Probabilistic Modelling for Four-Tops at the LHC


Bayesian Probabilistic Numerical Integration with Tree-Based Models


Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment


Bayesian Probit Multi-Study Non-negative Matrix Factorization for Mutational Signatures


Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection


Bayesian Pseudo-Coresets via Contrastive Divergence


Bayesian Pyramids: Identifiable Multilayer Discrete Latent Structure Models for Discrete Data


Bayesian Quadrature for Neural Ensemble Search


Bayesian Quadrature on Riemannian Data Manifolds


Bayesian Quantification with Black-Box Estimators


Bayesian Quantile Estimation and Regression with Martingale Posteriors


Bayesian RG Flow in Neural Network Field Theories


Bayesian Reconstruction and Differential Testing of Excised mRNA


Bayesian Recurrent Units and the Forward-Backward Algorithm


Bayesian Regularization for Functional Graphical Models with Applications to Neuroimaging


Bayesian Reinforcement Learning via Deep, Sparse Sampling


Bayesian Renewables Scenario Generation via Deep Generative Networks


Bayesian Robust Aggregation for Federated Learning


Bayesian Robust Graph Contrastive Learning


Bayesian Robust Optimization for Imitation Learning


Bayesian Safety Surveillance with Adaptive Bias Correction


Bayesian Semiparametric Model for Sequential Treatment Decisions with Informative Timing


Bayesian Sequential Joint Detection and Estimation


Bayesian Shape Reconstruction and Optimal Guidance for Autonomous Landing on Asteroids


Bayesian Shrinkage Priors for Penalized Synthetic Control Estimators in the Presence of Spillovers


Bayesian Shrinkage in High-Dimensional VAR Models: A Comparative Study


Bayesian Soft Actor-Critic: A Directed Acyclic Strategy Graph Based Deep Reinforcement Learning


Bayesian Solution Uncertainty Quantification for Differential Equations


Bayesian Sparse Vector Autoregressive Switching Models with Application to Human Gesture Phase Segmentation


Bayesian Sparsification Methods for Deep Complex-valued Networks


Bayesian Spatial Models for Voxel-wise Prostate Cancer Classification Using Multi-parametric MRI Data


Bayesian Spatiotemporal Nonstationary Model Quantifies Robust Increases in Daily Extreme Rainfall Across the Western Gulf Coast


Bayesian Spillover Graphs for Dynamic Networks


Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty


Bayesian Stability Selection and Inference on Selection Probabilities


Bayesian Statistics Guided Label Refurbishment Mechanism: Mitigating Label Noise in Medical Image Classification


Bayesian Statistics in Software Engineering: Practical Guide and Case Studies


Bayesian Stokes inversion with Normalizing flows


Bayesian Strategies for Repulsive Spatial Point Processes


Bayesian Structural Equation Modeling in Multiple Omics Data Integration with Application to Circadian Genes


Bayesian Structure Adaptation for Continual Learning


Bayesian Structure Learning with Generative Flow Networks


Bayesian Structure Scores for Probabilistic Circuits


Bayesian Surrogate Training on Multiple Data Sources: A Hybrid Modeling Strategy


Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine Learning


Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models


Bayesian Topic Regression for Causal Inference


Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo


Bayesian Uncertainty Estimation Under Complex Sampling


Bayesian Uncertainty Quantification for Systems Biology Models Parameterized Using Qualitative Data


Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning


Bayesian Variable Selection Under High-dimensional Settings With Grouped Covariates


Bayesian Variable Selection in Double Generalized Linear Tweedie Spatial Process Models


Bayesian Variable Selection in a Million Dimensions


Bayesian Varying-Effects Vector Autoregressive Models for Inference of Brain Connectivity Networks and Covariate Effects in Pediatric Traumatic Brain Injury


Bayesian Verification under Model Uncertainty


Bayesian Volumetric Autoregressive generative models for better semisupervised learning


Bayesian Wasserstein Repulsive Gaussian Mixture Models


Bayesian Weighted Mendelian Randomization for Causal Inference based on Summary Statistics


Bayesian active learning for optimization and uncertainty quantification in protein docking


Bayesian adaptive N-of-1 trials for estimating population and individual treatment effects


Bayesian adaptive and interpretable functional regression for exposure profiles


Bayesian adjustment for preferential testing in estimating the COVID-19 infection fatality rate


Bayesian aggregation of average data: An application in drug development


Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19


Bayesian analysis of product feature allocation models


Bayesian analysis of verbal autopsy data using factor models with age- and sex-dependent associations between symptoms


Bayesian and Frequentist Inference for Synthetic Controls


Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information


Bayesian and frequentist perspectives agree on dynamical dark energy


Bayesian approach for validation of runaway electron simulations


Bayesian averaging of computer models with domain discrepancies: a nuclear physics perspective


Bayesian calibration and sensitivity analysis for a karst aquifer model using active subspaces


Bayesian calibration of bubble size dynamics applied to CO2 gas fermenters


Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions


Bayesian causal discovery from unknown general interventions


Bayesian causal inference in automotive software engineering and online evaluation


Bayesian changepoint detection via logistic regression and the topological analysis of image series


Bayesian clustering using random effects models and predictive projections


Bayesian community detection for networks with covariates


Bayesian conjugacy in probit, tobit, multinomial probit and extensions: A review and new results


Bayesian constraints on the astrophysical neutrino source population from IceCube data


Bayesian constraints on the global 21-cm signal from the Cosmic Dawn


Bayesian contiguity constrained clustering, spanning trees and dendrograms


Bayesian continual learning and forgetting in neural networks


Bayesian cross-validation by parallel Markov Chain Monte Carlo


Bayesian cumulative shrinkage for infinite factorizations


Bayesian data assimilation for estimating epidemic evolution: a COVID-19 study


Bayesian decision theory for tree-based adaptive screening tests with an application to youth delinquency


Bayesian deep learning for cosmic volumes with modified gravity


Bayesian deep learning for error estimation in the analysis of anomalous diffusion


Bayesian design and analysis of external pilot trials for complex interventions


Bayesian determination of the effect of a deep eutectic solvent on the structure of lipid monolayers


Bayesian differential programming for robust systems identification under uncertainty


Bayesian ensemble modelling to monitor excess deaths during summer 2022 in Switzerland


Bayesian equation selection on sparse data for discovery of stochastic dynamical systems


Bayesian estimate of position in mobile phone network


Bayesian estimation of a semiparametric recurrent event model with applications to the penetrance estimation of multiple primary cancers in Li-Fraumeni Syndrome


Bayesian estimation of coupling strength and heterogeneity in a coupled oscillator model from macroscopic quantities


Bayesian estimation of cross-coupling and reflection systematics in 21cm array visibility data


Bayesian estimation of discretely observed multi-dimensional diffusion processes using guided proposals


Bayesian estimation of information-theoretic metrics for sparsely sampled distributions


Bayesian estimation of the Kullback-Leibler divergence for categorical sytems using mixtures of Dirichlet priors


Bayesian estimation of the autocovariance of a model error in time series


Bayesian estimation of the latent dimension and communities in stochastic blockmodels


Bayesian evidence for flux scale errors in Galactic synchrotron maps


Bayesian evidence for spectral lag transition due to Lorentz Invariance Violation for 32 Fermi/GBM Gamma-ray Bursts


Bayesian evidence for the tensor-to-scalar ratio $r$ and neutrino masses $m_ν$: Effects of uniform vs logarithmic priors


Bayesian exponential random graph models for populations of networks


Bayesian extraction of jet energy loss distributions in heavy-ion collisions


Bayesian factor models for probabilistic cause of death assessment with verbal autopsies


Bayesian feedback in the framework of ecological sciences


Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods


Bayesian fitting of multi-Gaussian expansion models to galaxy images


Bayesian graph convolutional neural networks via tempered MCMC


Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics


Bayesian hierarchical analysis of a multifaceted program against extreme poverty


Bayesian hierarchical stacking: Some models are (somewhere) useful


Bayesian high-dimensional covariate selection in non-linear mixed-effects models using the SAEM algorithm


Bayesian identification of bacterial strains from sequencing data


Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler


Bayesian inference for form-factor fits regulated by unitarity and analyticity


Bayesian inference for generalized linear models via quasi-posteriors


Bayesian inference for group-level cortical surface image-on-scalar-regression with Gaussian process priors


Bayesian inference for high-dimensional discrete-time epidemic models: spatial dynamics of the UK COVID-19 outbreak


Bayesian inference for stochastic differential equation mixed effects models of a tumor xenography study


Bayesian inference for the Net Promoter Score


Bayesian inference in single-line spectroscopic binaries with a visual orbit


Bayesian inference is facilitated by modular neural networks with different time scales


Bayesian inference methodology to characterize the dust emissivity at far-infrared and submillimeter frequencies


Bayesian inference of grid cell firing patterns using Poisson point process models with latent oscillatory Gaussian random fields


Bayesian inference of infected patients in group testing with prevalence estimation


Bayesian inference of mixed Gaussian phylogenetic models


Bayesian inference of network structure from unreliable data


Bayesian inference of physics-based models of acoustically-forced laminar premixed conical flames


Bayesian inference of polymerase dynamics over the exclusion process


Bayesian inference of species trees using diffusion models


Bayesian inference on hierarchical nonlocal priors in generalized linear models


Bayesian inference on the number of recurrent events: A joint model of recurrence and survival


Bayesian inference on the order of stationary vector autoregressions


Bayesian inference to study a signal with two or more decaying particles in a non-resonant background


Bayesian inference via sparse Hamiltonian flows


Bayesian inference: More than Bayes's theorem


Bayesian integrative factor analysis methods, with application in nutrition and genomics data


Bayesian jackknife tests with a small number of subsets: Application to HERA 21cm power spectrum upper limits


Bayesian joint modeling of chemical structure and dose response curves


Bayesian kernel machine regression for heteroscedastic health outcome data


Bayesian kernel machine regression-causal mediation analysis


Bayesian latent hierarchical model for transcriptomic meta-analysis to detect biomarkers with clustered meta-patterns of differential expression signals


Bayesian latent structure discovery from multi-neuron recordings


Bayesian latent time joint mixed effect models for multicohort longitudinal data


Bayesian learning of COVID-19 Vaccine safety while incorporating Adverse Events ontology


Bayesian learning of effective chemical master equations in crowded intracellular conditions


Bayesian learning with Gaussian processes for low-dimensional representations of time-dependent nonlinear systems


Bayesian leveraging of historical control data for a clinical trial with time-to-event endpoint


Bayesian local exchangeability design for phase II basket trials


Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees


Bayesian measures of leverage and influence


Bayesian method for causal inference in spatially-correlated multivariate time series


Bayesian mixture modeling using a mixture of finite mixtures with normalized inverse Gaussian weights


Bayesian mixture models (in)consistency for the number of clusters


Bayesian mixture models for phylogenetic source attribution from consensus sequences and time since infection estimates


Bayesian mode and maximum estimation and accelerated rates of contraction


Bayesian model averaging for analysis of lattice field theory results


Bayesian model reconstruction based on spectral line observations


Bayesian model selection for linear regression


Bayesian modeling of insurance claims for hail damage


Bayesian modeling of spatial ordinal data from health surveys


Bayesian modeling with spatial curvature processes


Bayesian modelling and quantification of Raman spectroscopy


Bayesian modelling for spatially misaligned health areal data: a multiple membership approach


Bayesian models for missing and misclassified variables using integrated nested Laplace approximations


Bayesian models for prediction of the set-difference in volleyball


Bayesian mortality modelling with pandemics: a vanishing jump approach


Bayesian multi-exposure image fusion for robust high dynamic range ptychography


Bayesian multilevel compositional data analysis: introduction, evaluation, and application


Bayesian multilevel multivariate logistic regression for superiority decision-making under observable treatment heterogeneity


Bayesian multistate modelling of incomplete chronic disease burden data


Bayesian multivariate logistic regression for superiority and inferiority decision-making under observable treatment heterogeneity


Bayesian network mediation analysis with application to brain functional connectome


Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction


Bayesian neural networks via MCMC: a Python-based tutorial


Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data


Bayesian nonparametric discontinuity design


Bayesian nonparametric model based clustering with intractable distributions: an ABC approach


Bayesian nonparametric modeling of latent partitions via Stirling-gamma priors


Bayesian nonparametric multiway regression for clustered binomial data


Bayesian optimal change point detection in high-dimensions


Bayesian optimal design accelerates discovery of material properties from bubble dynamics


Bayesian optimisation with improved information sharing for the variational quantum eigensolver


Bayesian optimization for automatic design of face stimuli


Bayesian optimization for stable properties amid processing fluctuations in sputter deposition


Bayesian optimization of atomic structures with prior probabilities from universal interatomic potentials


Bayesian optimization with known experimental and design constraints for chemistry applications


Bayesian optimized physics-informed neural network for estimating wave propagation velocities


Bayesian order identification of ARMA models with projection predictive inference


Bayesian parameter estimation for relativistic heavy-ion collisions


Bayesian parameter estimation in $χ$EFT using Hamiltonian Monte Carlo


Bayesian penalized empirical likelihood and Markov Chain Monte Carlo sampling


Bayesian photometric redshifts of blended sources


Bayesian posterior approximation with stochastic ensembles


Bayesian predictive modeling of multi-source multi-way data


Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables


Bayesian propensity score matching in automotive embedded software engineering


Bayesian quantile additive regression trees


Bayesian ranking and selection with applications to field studies, economic mobility, and forecasting


Bayesian reconstruction of memories stored in neural networks from their connectivity


Bayesian reconstruction of past land-cover from pollen data: model robustness and sensitivity to auxiliary variables


Bayesian reconstruction of primordial perturbations from induced gravitational waves


Bayesian regression discontinuity design with unknown cutoff


Bayesian response adaptive randomization design with a composite endpoint of mortality and morbidity


Bayesian sample size determination in basket trials borrowing information between subsets


Bayesian scalar-on-network regression with applications to brain functional connectivity


Bayesian scaling laws for in-context learning


Bayesian score calibration for approximate models


Bayesian semiparametric long memory models for discretized event data


Bayesian semiparametric modelling of contraceptive behavior in India via sequential logistic regressions


Bayesian semiparametric modelling of phase-varying point processes


Bayesian shape-constrained regression for quantifying Alzheimer's disease biomarker progression


Bayesian sparse reconstruction: a brute-force approach to astronomical imaging and machine learning


Bayesian sparsification for deep neural networks with Bayesian model reduction


Bayesian spatio-temporal model for high-resolution short-term forecasting of precipitation fields


Bayesian spatio-temporal modelling for infectious disease outbreak detection


Bayesian spatiotemporal modelling of political violence and conflict events using discrete-time Hawkes processes


Bayesian system identification for structures considering spatial and temporal correlation


Bayesian task embedding for few-shot Bayesian optimization


Bayesian technique to combine independently-trained Machine-Learning models applied to direct dark matter detection


Bayesian tensor factorization for predicting clinical outcomes using integrated human genetics evidence


Bayesian uncertainty quantification for data-driven equation learning


Bayesian unsupervised learning reveals hidden structure in concentrated electrolytes


Bayesian variable selection in a Cox proportional hazards model with the "Sum of Single Effects" prior


Bayesian variable selection in sample selection models using spike-and-slab priors


Bayesian variance change point detection with credible sets


Bayesian views of generalized additive modelling


Bayesian-Wilson coefficients in lattice QCD computations of valence PDFs and GPDs


Bayesian-guided Label Mapping for Visual Reprogramming


BayesianFitForecast: A User-Friendly R Toolbox for Parameter Estimation and Forecasting with Ordinary Differential Equations


Bayesianize Fuzziness in the Statistical Analysis of Fuzzy Data


BciPy: Brain-Computer Interface Software in Python


BdSLW60: A Word-Level Bangla Sign Language Dataset


Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference


Be Careful When Evaluating Explanations Regarding Ground Truth


Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!


Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models


Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders


Be More Diverse than the Most Diverse: Optimal Mixtures of Generative Models via Mixture-UCB Bandit Algorithms


Be More with Less: Hypergraph Attention Networks for Inductive Text Classification


Be greedy and learn: efficient and certified algorithms for parametrized optimal control problems


Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs


Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation


BeBOP -- Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks


BeCAPTCHA-Mouse: Synthetic Mouse Trajectories and Improved Bot Detection


BeDivFuzz: Integrating Behavioral Diversity into Generator-based Fuzzing


BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation


BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms


BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning


BeHonest: Benchmarking Honesty in Large Language Models


BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction


BeNeRF: Neural Radiance Fields from a Single Blurry Image and Event Stream


BePT: A Behavior-based Process Translator for Interpreting and Understanding Process Models


BeSplat: Gaussian Splatting from a Single Blurry Image and Event Stream


BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision


Beacon, a lightweight deep reinforcement learning benchmark library for flow control


Beacon2Science: Enhancing STEREO/HI beacon data1 with machine learning for efficient CME tracking


BeadSight: An Inexpensive Tactile Sensor Using Hydro-Gel Beads


Beam-Guided TasNet: An Iterative Speech Separation Framework with Multi-Channel Output


BeamSense: Rethinking Wireless Sensing with MU-MIMO Wi-Fi Beamforming Feedback


Beamfocusing Optimization for Near-Field Wideband Multi-User Communications


Beamformed Fingerprint Learning for Accurate Millimeter Wave Positioning


Beamforming Optimization for Continuous Aperture Array (CAPA)-based Communications


Beamforming design for minimizing the signal power estimation error


Beamforming using Digital Piezoelectric MEMS Microphone Array


Beamforming-Codebook-Aware Channel Knowledge Map Construction for Multi-Antenna Systems


Beamspace Channel Estimation for Massive MIMO mmWave Systems: Algorithm and VLSI Design


BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration


Beat Pilot Tone (BPT): Simultaneous MR Imaging and RF Motion Sensing at Arbitrary Frequencies


Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention


Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension


Beat this! Accurate beat tracking without DBN postprocessing


Beating full state tomography for unentangled spectrum estimation


Beating one bit of communication with quantum correlations in smaller dimensions


Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images


BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps


BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System


Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting


BeeTLe: A Framework for Linear B-Cell Epitope Prediction and Classification


Beehive: A Flexible Network Stack for Direct-Attached Accelerators


Beemo: Benchmark of Expert-edited Machine-generated Outputs


Beer Organoleptic Optimisation: Utilising Swarm Intelligence and Evolutionary Computation Methods


Before & After: The Effect of EU's 2022 Code of Practice on Disinformation


Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation


Before It's Too Late: A State Space Model for the Early Prediction of Misinformation and Disinformation Engagement


Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentation


BeforeIT.jl: High-Performance Agent-Based Macroeconomics Made Easy


Beginner's Luck: A Language for Property-Based Generators


Beginner's guide to visual analysis of perovskite and organic solar cell current density-voltage characteristics


Beginners' Quest to Formalize Mathematics: A Feasibility Study in Isabelle


BehAVE: Behaviour Alignment of Video Game Encodings


BehaveFormer: A Framework with Spatio-Temporal Dual Attention Transformers for IMU enhanced Keystroke Dynamics


Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systems


Behavior Contrastive Learning for Unsupervised Skill Discovery


Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning


Behavior Foundation Model: Towards Next-Generation Whole-Body Control System of Humanoid Robots


Behavior Injection: Preparing Language Models for Reinforcement Learning


Behavior Pattern Mining-based Multi-Behavior Recommendation


Behavior Prior Representation learning for Offline Reinforcement Learning


Behavior Synthesis via Contact-Aware Fisher Information Maximization


Behavior Trees Enable Structured Programming of Language Model Agents


Behavior Trees in Functional Safety Supervisors for Autonomous Vehicles


Behavior coordination for self-adaptive robots using constraint-based configuration


Behavior measures are predicted by how information is encoded in an individual's brain


Behavior quantification as the missing link between fields: Tools for digital psychiatry and their role in the future of neurobiology


Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation


Behavior-Semantic Scenery Description (BSSD) of Road Networks for Automated Driving


Behavior-aware Account De-anonymization on Ethereum Interaction Graph


Behavior-based Neuroevolutionary Training in Reinforcement Learning


Behavioral Analysis of Information Salience in Large Language Models


Behavioral Analysis of Vision-and-Language Navigation Agents


Behavioral Augmentation of UML Class Diagrams: An Empirical Study of Large Language Models for Method Generation


Behavioral Bias of Vision-Language Models: A Behavioral Finance View


Behavioral Research and Practical Models of Drivers' Attention


Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles


Behavioral changes during the pandemic worsened income diversity of urban encounters


Behaviorally Grounded Model-Based and Model Free Cost Reduction in a Simulated Multi-Echelon Supply Chain


Behaviorally Typed State Machines in TypeScript for Heterogeneous Swarms


Behaviour diversity in a walking and climbing centipede-like virtual creature


Behavioural Reports of Multi-Stage Malware


Behavioural Types for Memory and Method Safety in a Core Object-Oriented Language


Behind The Wings: The Case of Reverse Engineering and Drone Hijacking in DJI Enhanced Wi-Fi Protocol


Behind the Curtain: Learning Occluded Shapes for 3D Object Detection


Behind the Magic, MERLIM: Multi-modal Evaluation Benchmark for Large Image-Language Models


Behind the Mask: Demographic bias in name detection for PII masking


Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition


Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification


Behind the Scenes: Density Fields for Single View Reconstruction


Behind the Spotlight: A systematic assessment of outshining using NIRCam medium-bands in the JADES Origins Field


Being Aware of Localization Accuracy By Generating Predicted-IoU-Guided Quality Scores


Being Bayesian about Categorical Probability


Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics


Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks


Being Comes from Not-being: Open-vocabulary Text-to-Motion Generation with Wordless Training


Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework


Being a Bit Frequentist Improves Bayesian Neural Networks


Being curious about the answers to questions: novelty search with learned attention


Being nice to the server: Wrapping a REST API for a cosmological distance/velocity calculator with Python


BelMan: Bayesian Bandits on the Belief--Reward Manifold


BeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature Fusion


Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots


Belief Revision based Caption Re-ranker with Visual Semantic Information


Belief Revision in Sentential Decision Diagrams


Belief Revision: The Adaptability of Large Language Models Reasoning


Belief in the Machine: Investigating Epistemological Blind Spots of Language Models


Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations


Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability


Belief-based Generation of Argumentative Claims


BeliefNest: A Joint Action Simulator for Embodied Agents with Theory of Mind


BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation


Believe It or Not, We Know What You Are Looking at!


Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency Mapping


Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning


Believing is Seeing: Unobserved Object Detection using Generative Models


Bell correlations in a split two-mode-squeezed Bose-Einstein condensate


Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts


Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series


Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes


Bellman Optimal Stepsize Straightening of Flow-Matching Models


Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow


BeltCrack: the First Sequential-image Industrial Conveyor Belt Crack Detection Dataset and Its Baseline with Triple-domain Feature Learning


Beluga Whale Detection from Satellite Imagery with Point Labels


Belyi functions of the special weighted trees of $(2,3)$-type


BemaGANv2: A Tutorial and Comparative Survey of GAN-based Vocoders for Long-Term Audio Generation


Bembel: The Fast Isogeometric Boundary Element C++ Library for Laplace, Helmholtz, and Electric Wave Equation


Ben-ge: Extending BigEarthNet with Geographical and Environmental Data


BenCoref: A Multi-Domain Dataset of Nominal Phrases and Pronominal Reference Annotations


BenLOC: A Benchmark for Learning to Configure MIP Optimizers


BenSParX: A Robust Explainable Machine Learning Framework for Parkinson's Disease Detection from Bengali Conversational Speech


BenTo: Benchmark Task Reduction with In-Context Transferability


Bench-CoE: a Framework for Collaboration of Experts from Benchmark


Bench2FreeAD: A Benchmark for Vision-based End-to-end Navigation in Unstructured Robotic Environments


Bench4KE: Benchmarking Automated Competency Question Generation


Bench4Merge: A Comprehensive Benchmark for Merging in Realistic Dense Traffic with Micro-Interactive Vehicles


BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery


BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation


BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models


BenchMD: A Benchmark for Unified Learning on Medical Images and Sensors


BenchNav: Simulation Platform for Benchmarking Off-road Navigation Algorithms with Probabilistic Traversability


BenchPress: A Deep Active Benchmark Generator


BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays


Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization


Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution


Benchmark Environments for Multitask Learning in Continuous Domains


Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness


Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation


Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings


Benchmark and Survey of Automated Machine Learning Frameworks


Benchmark data and method for real-time people counting in cluttered scenes using depth sensors


Benchmark dataset of memes with text transcriptions for automatic detection of multi-modal misogynistic content


Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection


Benchmark for Uncertainty & Robustness in Self-Supervised Learning


Benchmark of Data Preprocessing Methods for Imbalanced Classification


Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets


Benchmark on Drug Target Interaction Modeling from a Structure Perspective


Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models


Benchmark: Tao's symplectic integration method


Benchmarking AI scientists in omics data-driven biological research


Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective


Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints


Benchmarking Adversarial Patch Against Aerial Detection


Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-Judge


Benchmarking Agentic Workflow Generation


Benchmarking Aggregation-Disaggregation Pipelines for Smart Charging of Electric Vehicles


Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler


Benchmarking Analytical Query Processing in Intel SGXv2


Benchmarking Apache Spark and Hadoop MapReduce on Big Data Classification


Benchmarking Attacks on Learning with Errors


Benchmarking AutoML algorithms on a collection of synthetic classification problems


Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation


Benchmarking Benchmark Leakage in Large Language Models


Benchmarking Blocking Algorithms for Web Entities


Benchmarking ChatGPT on Algorithmic Reasoning


Benchmarking ChatGPT-4 on ACR Radiation Oncology In-Training (TXIT) Exam and Red Journal Gray Zone Cases: Potentials and Challenges for AI-Assisted Medical Education and Decision Making in Radiation Oncology


Benchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models


Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study


Benchmarking Classic and Learned Navigation in Complex 3D Environments


Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration


Benchmarking Cognitive Biases in Large Language Models as Evaluators


Benchmarking Complex Instruction-Following with Multiple Constraints Composition


Benchmarking Compositionality with Formal Languages


Benchmarking Counterfactual Image Generation


Benchmarking Data Efficiency in $Δ$-ML and Multifidelity Models for Quantum Chemistry


Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning


Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk


Benchmarking Deep Learning Interpretability in Time Series Predictions


Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation


Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation


Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments


Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware


Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging


Benchmarking Differential Privacy and Federated Learning for BERT Models


Benchmarking Differentially Private Residual Networks for Medical Imagery


Benchmarking Distribution Shift in Tabular Data with TableShift


Benchmarking Distributional Alignment of Large Language Models


Benchmarking Domain Adaptation for Chemical Processes on the Tennessee Eastman Process


Benchmarking Domain Generalization Algorithms in Computational Pathology


Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective


Benchmarking End-to-End Behavioural Cloning on Video Games


Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation


Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection -- Towards Precise Fish Morphological Assessment in Aquaculture Breeding


Benchmarking Flexible Electric Loads Scheduling Algorithms under Market Price Uncertainty


Benchmarking Foundation Models on Exceptional Cases: Dataset Creation and Validation


Benchmarking Function Hook Latency in Cloud-Native Environments


Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels


Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization


Benchmarking Generative AI Models for Deep Learning Test Input Generation


Benchmarking Generative Latent Variable Models for Speech


Benchmarking Graph Neural Networks for FMRI analysis


Benchmarking Graph Neural Networks for Internet Routing Data


Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series Classification


Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem


Benchmarking Human and Automated Prompting in the Segment Anything Model


Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems


Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM


Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box


Benchmarking Inverse Optimization Algorithms for Materials Design


Benchmarking Jetson Edge Devices with an End-to-end Video-based Anomaly Detection System


Benchmarking Keyword Spotting Efficiency on Neuromorphic Hardware


Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation


Benchmarking LLMs for Political Science: A United Nations Perspective


Benchmarking LLMs via Uncertainty Quantification


Benchmarking LLMs' Judgments with No Gold Standard


Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters


Benchmarking Language Model Creativity: A Case Study on Code Generation


Benchmarking Language Models for Code Syntax Understanding


Benchmarking Laparoscopic Surgical Image Restoration and Beyond


Benchmarking Large Language Model Uncertainty for Prompt Optimization


Benchmarking Large Language Models for Automated Verilog RTL Code Generation


Benchmarking Large Language Models for Image Classification of Marine Mammals


Benchmarking Large Language Models for Math Reasoning Tasks


Benchmarking Large Language Models for Molecule Prediction Tasks


Benchmarking Large Language Models for News Summarization


Benchmarking Large Language Models for Persian: A Preliminary Study Focusing on ChatGPT


Benchmarking Large Language Models in Retrieval-Augmented Generation


Benchmarking Large Language Models on Answering and Explaining Challenging Medical Questions


Benchmarking Large Language Models on CFLUE -- A Chinese Financial Language Understanding Evaluation Dataset


Benchmarking Large Language Models on Communicative Medical Coaching: a Novel System and Dataset


Benchmarking Large Language Models on Controllable Generation under Diversified Instructions


Benchmarking Large Multimodal Models against Common Corruptions


Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation


Benchmarking Linguistic Diversity of Large Language Models


Benchmarking Llama2, Mistral, Gemma and GPT for Factuality, Toxicity, Bias and Propensity for Hallucinations


Benchmarking Local Robustness of High-Accuracy Binary Neural Networks for Enhanced Traffic Sign Recognition


Benchmarking Long-tail Generalization with Likelihood Splits


Benchmarking MOEAs for solving continuous multi-objective RL problems


Benchmarking Machine Learning Algorithms for Adaptive Quantum Phase Estimation with Noisy Intermediate-Scale Quantum Sensors


Benchmarking Machine Learning Robustness in Covid-19 Genome Sequence Classification


Benchmarking Misuse Mitigation Against Covert Adversaries


Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning


Benchmarking Multi-Task Learning for Sentiment Analysis and Offensive Language Identification in Under-Resourced Dravidian Languages


Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness


Benchmarking Multilabel Topic Classification in the Kyrgyz Language


Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program


Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models


Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation Framework


Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent


Benchmarking Noisy Intermediate Scale Quantum Error Mitigation Strategies for Ground State Preparation of the HCl Molecule


Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery


Benchmarking Omni-Vision Representation through the Lens of Visual Realms


Benchmarking Optimization Solvers and Symmetry Breakers for the Automated Deployment of Component-based Applications in the Cloud (EXTENDED ABSTRACT)


Benchmarking Parallelism in FaaS Platforms


Benchmarking Parameter Control Methods in Differential Evolution for Mixed-Integer Black-Box Optimization


Benchmarking Pathology Feature Extractors for Whole Slide Image Classification


Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios


Benchmarking Perturbation-based Saliency Maps for Explaining Atari Agents


Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions


Benchmarking Population-Based Reinforcement Learning across Robotic Tasks with GPU-Accelerated Simulation


Benchmarking Positional Encodings for GNNs and Graph Transformers


Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis


Benchmarking Potential Based Rewards for Learning Humanoid Locomotion


Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition


Benchmarking Procedural Language Understanding for Low-Resource Languages: A Case Study on Turkish


Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime


Benchmarking Quantized Neural Networks on FPGAs with FINN


Benchmarking Quantum Architecture Search with Surrogate Assistance


Benchmarking Quantum Circuit Transformation with QKNOB Circuits


Benchmarking Quantum Reinforcement Learning


Benchmarking Quantum(-inspired) Annealing Hardware on Practical Use Cases


Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph


Benchmarking Regression Methods: A comparison with CGAN


Benchmarking Representation Learning for Natural World Image Collections


Benchmarking Retrieval-Augmented Generation for Medicine


Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts


Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering


Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks


Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data


Benchmarking Robustness of Machine Reading Comprehension Models


Benchmarking Robustness of Text-Image Composed Retrieval


Benchmarking Robustness to Adversarial Image Obfuscations


Benchmarking Robustness to Text-Guided Corruptions


Benchmarking Safety Monitors for Image Classifiers with Machine Learning


Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation


Benchmarking Secure Sampling Protocols for Differential Privacy


Benchmarking Segmentation Models with Mask-Preserved Attribute Editing


Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction


Benchmarking Sequential Visual Input Reasoning and Prediction in Multimodal Large Language Models


Benchmarking Skeleton-based Motion Encoder Models for Clinical Applications: Estimating Parkinson's Disease Severity in Walking Sequences


Benchmarking Software Model Checkers on Automotive Code


Benchmarking Spatial Relationships in Text-to-Image Generation


Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges


Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency


Benchmarking Structural Evolution Methods for Training of Machine Learned Interatomic Potentials


Benchmarking Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization


Benchmarking Suite for Synthetic Aperture Radar Imagery Anomaly Detection (SARIAD) Algorithms


Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework


Benchmarking TPU, GPU, and CPU Platforms for Deep Learning


Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties


Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification


Benchmarking Top-K Keyword and Top-K Document Processing with T${}^2$K${}^2$ and T${}^2$K${}^2$D${}^2$


Benchmarking Traditional Machine Learning and Deep Learning Models for Fault Detection in Power Transformers


Benchmarking Transcriptomics Foundation Models for Perturbation Analysis : one PCA still rules them all


Benchmarking Transferable Adversarial Attacks


Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and Attention-based Deep Models


Benchmarking Ultra-High-Definition Image Reflection Removal


Benchmarking Unsupervised Object Representations for Video Sequences


Benchmarking Unsupervised Online IDS for Masquerade Attacks in CAN


Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series


Benchmarking Vision-Language Contrastive Methods for Medical Representation Learning


Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video Environments


Benchmarking Visual Localization for Autonomous Navigation


Benchmarking White Blood Cell Classification Under Domain Shift


Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study


Benchmarking a novel efficient numerical method for localized 1D Fermi-Hubbard systems on a quantum simulator


Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms


Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples


Benchmarking and Comparing Popular Visual SLAM Algorithms


Benchmarking and Confidence Evaluation of LALMs For Temporal Reasoning


Benchmarking and Enhancing LLM Agents in Localizing Linux Kernel Bugs


Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation


Benchmarking and Improving Detail Image Caption


Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning


Benchmarking and Improving Text-to-SQL Generation under Ambiguity


Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication


Benchmarking and Rethinking Knowledge Editing for Large Language Models


Benchmarking and Survey of Explanation Methods for Black Box Models


Benchmarking and optimizing organism wide single-cell RNA alignment methods


Benchmarking and scaling of deep learning models for land cover image classification


Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis


Benchmarking covariates balancing methods, a simulation study


Benchmarking deep inverse models over time, and the neural-adjoint method


Benchmarking emergency department triage prediction models with machine learning and large public electronic health records


Benchmarking field-level cosmological inference from galaxy redshift surveys


Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT


Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtyping


Benchmarking human visual search computational models in natural scenes: models comparison and reference datasets


Benchmarking human-robot collaborative assembly tasks


Benchmarking large language models for biomedical natural language processing applications and recommendations


Benchmarking local motion planners for navigation of mobile manipulators


Benchmarking logical three-qubit quantum Fourier transform encoded in the Steane code on a trapped-ion quantum computer


Benchmarking machine learning for bowel sound pattern classification from tabular features to pretrained models


Benchmarking magnetizabilities with recent density functionals


Benchmarking missing-values approaches for predictive models on health databases


Benchmarking multi-component signal processing methods in the time-frequency plane


Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes


Benchmarking of DL Libraries and Models on Mobile Devices


Benchmarking of Query Strategies: Towards Future Deep Active Learning


Benchmarking of quantum processors with random circuits


Benchmarking optimality of time series classification methods in distinguishing diffusions


Benchmarking performance of object detection under image distortions in an uncontrolled environment


Benchmarking person re-identification datasets and approaches for practical real-world implementations


Benchmarking pre-trained text embedding models in aligning built asset information


Benchmarking quantum machine learning kernel training for classification tasks


Benchmarking quantum tomography completeness and fidelity with machine learning


Benchmarking simplified template cross sections in $WH$ production


Benchmarking structure-based three-dimensional molecular generative models using GenBench3D: ligand conformation quality matters


Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?


Benchmarking the Attribution Quality of Vision Models


Benchmarking the Fairness of Image Upsampling Methods


Benchmarking the Generation of Fact Checking Explanations


Benchmarking the Linear Algebra Awareness of TensorFlow and PyTorch


Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java


Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains


Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology


Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection


Benchmarking the Robustness of Optical Flow Estimation to Corruptions


Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions


Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions


Benchmarking the Robustness of UAV Tracking Against Common Corruptions


Benchmarking the Security Protocol and Data Model (SPDM) for component authentication


Benchmarking the role of particle statistics in Quantum Reservoir Computing


Benchmarking tools for a priori identifiability analysis


Benchmarking treewidth as a practical component of tensor-network--based quantum simulation


Benchmarking universal quantum gates via channel spectrum


Benchmarking, Analysis, and Optimization of Serverless Function Snapshots


Benchmarks and Custom Package for Energy Forecasting


Benchmarks for Corruption Invariant Person Re-identification


Benchmarks for Deep Off-Policy Evaluation


Benchmarks for Detecting Measurement Tampering


Benchmarks for Parity Games (extended version)


Benchmarks for Solar Radiation Time Series Forecasting


Benchmarks for cyber-physical systems: A modular model library for building automation systems (Extended version)


Benchmarks for infinite medium, time dependent transport problems with isotropic scattering


Benchmarks for protocol control in nonequilibrium statistical mechanics


Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement


Benchopt: Reproducible, efficient and collaborative optimization benchmarks


Benchpress: A Scalable and Versatile Workflow for Benchmarking Structure Learning Algorithms


BendVLM: Test-Time Debiasing of Vision-Language Embeddings


Benders Adaptive-Cuts Method for Two-Stage Stochastic Programs


Benders decomposition for Network Design Covering Problems


Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces


Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction


Beneath the Surface: How Large Language Models Reflect Hidden Bias


Beneath the Surface: The Role of Underwater Image Enhancement in Object Detection


Beneath the Surface: Unveiling Harmful Memes with Multimodal Reasoning Distilled from Large Language Models


Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research


Beneficial and Harmful Explanatory Machine Learning


Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation


Benefit of Joint DOA and Delay Estimation with Application to Indoor Localization in WiFi and 5G


Benefits and Pitfalls of Using Capture the Flag Games in University Courses


Benefits and costs of matching prior to a Difference in Differences analysis when parallel trends does not hold


Benefits of Additive Noise in Composing Classes with Bounded Capacity


Benefits of Deterministic and Stochastic Tendency Adjustments in a Climate Model


Benefits of Monotonicity in Safe Exploration with Gaussian Processes


Benford's Law from Turing Ensembles and Integer Partitions


Bengali Abstractive News Summarization(BANS): A Neural Attention Approach


Bengali Handwritten Character Classification using Transfer Learning on Deep Convolutional Neural Network


Bengali Intent Classification with Generative Adversarial BERT


Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GAN


Benign Overfitting for Two-layer ReLU Convolutional Neural Networks


Benign Overfitting in Token Selection of Attention Mechanism


Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety


Benign landscapes of low-dimensional relaxations for orthogonal synchronization on general graphs


Bent Functions in the Partial Spread Class Generated by Linear Recurring Sequences


BenthicNet: A global compilation of seafloor images for deep learning applications


BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation


Berezinskii-Kosterlitz-Thouless Renormalization Group Flow at a Quantum Phase Transition


Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework


Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies


Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures


BernGraph: Probabilistic Graph Neural Networks for EHR-based Medication Recommendations


BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation


Bernoulli Randomness and Biased Normality


Bernstein Flows for Flexible Posteriors in Variational Bayes


Bernstein spectral method for quasinormal modes and other eigenvalue problems


Bernstein-Type Bounds for Beta Distribution


Berry Flux Diagonalization: Application to Electric Polarization


BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer


BertaQA: How Much Do Language Models Know About Local Culture?


Bertrand-DR: Improving Text-to-SQL using a Discriminative Re-ranker


Besov regularity of random wavelet series


Best Arm Identification for Stochastic Rising Bandits


Best Arm Identification with Fixed Budget: A Large Deviation Perspective


Best Buddies Registration for Point Clouds


Best Linear Unbiased Estimate from Privatized Contingency Tables


Best Practices and Considerations for Child Speech Corpus Collection and Curation in Educational, Clinical, and Forensic Scenarios


Best Practices for 2-Body Pose Forecasting


Best Practices for Alchemical Free Energy Calculations


Best Practices for Large-Scale, Pixel-Wise Crop Mapping and Transfer Learning Workflows


Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research


Best Practices for Responsible Machine Learning in Credit Scoring


Best Practices for a Handwritten Text Recognition System


Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees


Best Prompts for Text-to-Image Models and How to Find Them


Best Subset Solution Path for Linear Dimension Reduction Models using Continuous Optimization


Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data


Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel


Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model


Best of both worlds: Fusing hyperspectral data from two generations of spectro-imagers for X-ray astrophysics


BestMan: A Modular Mobile Manipulator Platform for Embodied AI with Unified Simulation-Hardware APIs


Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning


Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification


Beta-Generalized Lindley Distribution: A Novel Probability Model for Wind Speed


Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis


Beta-Sigma VAE: Separating beta and decoder variance in Gaussian variational autoencoder


Beta-VAE Reproducibility: Challenges and Extensions


BetaExplainer: A Probabilistic Method to Explain Graph Neural Networks


BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations


Beth-Uhlenbeck equation for the thermodynamics of fluctuations in a generalised 2+1D Gross-Neveu model


Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo Conversion


Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation


Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution


Better Batch for Deep Probabilistic Time Series Forecasting


Better Call SAL: Towards Learning to Segment Anything in Lidar


Better Debugging: Combining Static Analysis and LLMs for Explainable Crashing Fault Localization


Better Estimation of the KL Divergence Between Language Models


Better Explain Transformers by Illuminating Important Information


Better Feature Integration for Named Entity Recognition


Better Few-Shot Relation Extraction with Label Prompt Dropout


Better Fine-Tuning by Reducing Representational Collapse


Better Generalized Few-Shot Learning Even Without Base Data


Better Highlighting: Creating Sub-Sentence Summary Highlights


Better Language Model with Hypernym Class Prediction


Better Late Than Never: Formulating and Benchmarking Recommendation Editing


Better Latent Spaces for Better Autoencoders


Better Lattice Quantizers Constructed from Complex Integers


Better Lightweight Network for Free: Codeword Mimic Learning for Massive MIMO CSI feedback


Better Locally Private Sparse Estimation Given Multiple Samples Per User


Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer


Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification


Better Monocular 3D Detectors with LiDAR from the Past


Better Neural PDE Solvers Through Data-Free Mesh Movers


Better Peer Grading through Bayesian Inference


Better Question-Answering Models on a Budget


Better RAG using Relevant Information Gain


Better Safe Than Sorry! Automated Identification of Functionality-Breaking Security-Configuration Rules


Better Safe Than Sorry: Enhancing Arbitration Graphs for Safe and Robust Autonomous Decision-Making


Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training


Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks


Better Sampling of Negatives for Distantly Supervised Named Entity Recognition


Better Self-training for Image Classification through Self-supervision


Better Set Representations For Relational Reasoning


Better Short than Greedy: Interpretable Models through Optimal Rule Boosting


Better Sign Language Translation with Monolingual Data


Better Sign Language Translation with STMC-Transformer


Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method


Better Smatch = Better Parser? AMR evaluation is not so simple anymore


Better Summarization Evaluation with Word Embeddings for ROUGE


Better Supervisory Signals by Observing Learning Paths


Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation


Better Than Reference In Low Light Image Enhancement: Conditional Re-Enhancement Networks


Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information


Better Together: Unifying Datalog and Equality Saturation


Better Together? An Evaluation of AI-Supported Code Translation


Better Training of GFlowNets with Local Credit and Incomplete Trajectories


Better Training using Weight-Constrained Stochastic Dynamics


Better Trees: An empirical study on hyperparameter tuning of classification decision tree induction algorithms


Better Write Amplification for Streaming Data Processing


Better call Surrogates: A hybrid Evolutionary Algorithm for Hyperparameter optimization


Better force fields start with better data -- A data set of cation dipeptide interactions


Better sampling in explanation methods can prevent dieselgate-like deception


Better scalability under potentially heavy-tailed feedback


Better than Average: Paired Evaluation of NLP Systems


Better than Counting Seconds: Identifying Fallers among Healthy Elderly using Fusion of Accelerometer Features and Dual-Task Timed Up and Go


Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling


Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries


Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks


Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations


BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp Segmentation


Betti Numbers of Prodsimplicial Complexes for Directed Graphs with Applications to Word Reductions


Betti number estimates for non-negatively curved graphs


Betti splitting from a topological point of view


Betting and Belief: Prediction Markets and Attribution of Climate Change


Between Green Hills and Green Bills: Unveiling the Green Shades of Sustainability and Burden Shifting through Multi-Objective Optimization in Swiss Energy System Planning


Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning


Between Lines of Code: Unraveling the Distinct Patterns of Machine and Human Programmers


Between News and History: Identifying Networked Topics of Collective Attention on Wikipedia


Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples


Bexcitonics: Quasi-particle approach to open quantum dynamics


BeyonCE -- Light Curve Modelling Beyond Circular Eclipsers I. Shallot Explorer


Beyond $R_0$: Heterogeneity in secondary infections and probabilistic epidemic forecasting


Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models


Beyond 1-WL with Local Ego-Network Encodings


Beyond 2-D Mass-Radius Relationships: A Nonparametric and Probabilistic Framework for Characterizing Planetary Samples in Higher Dimensions


Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching


Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping


Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection


Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning


Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking


Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales


Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain


Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions


Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual Descriptor


Beyond Accuracy: On the Effects of Fine-tuning Towards Vision-Language Model's Prediction Rationality


Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting


Beyond Adult and COMPAS: Fairness in Multi-Class Prediction


Beyond Affine Loops: A Geometric Approach to Program Synthesis


Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals


Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer


Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation


Beyond Any-Shot Adaptation: Predicting Optimization Outcome for Robustness Gains without Extra Pay


Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks


Beyond Arabic: Software for Perso-Arabic Script Manipulation


Beyond Asymptotics: Practical Insights into Community Detection in Complex Networks


Beyond Asymptotics: Targeted exploration with finite-sample guarantees


Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework


Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs


Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers


Beyond Audio and Pose: A General-Purpose Framework for Video Synchronization


Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning


Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation


Beyond Backprop: Online Alternating Minimization with Auxiliary Variables


Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients


Beyond Barren Plateaus: Quantum Variational Algorithms Are Swamped With Traps


Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning


Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support


Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems


Beyond Binary Gender: Evaluating Gender-Inclusive Machine Translation with Ambiguous Attitude Words


Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks


Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition


Beyond CO2 Emissions: The Overlooked Impact of Water Consumption of Information Retrieval Models


Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning


Beyond Cartesian Representations for Local Descriptors


Beyond Categorical Label Representations for Image Classification


Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models


Beyond Citations: Measuring Novel Scientific Ideas and their Impact in Publication Text


Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise


Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection


Beyond Classification: Financial Reasoning in State-of-the-Art Language Models


Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction


Beyond Co-occurrence: Multi-modal Session-based Recommendation


Beyond Code Generation: Assessing Code LLM Maturity with Postconditions


Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?


Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPs


Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System Perception


Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models


Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance


Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes


Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation


Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models


Beyond Correlation: A Path-Invariant Measure for Seismogram Similarity


Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis


Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image


Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning


Beyond Data Quantity: Key Factors Driving Performance in Multilingual Language Models


Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation


Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification


Beyond Degradation Conditions: All-in-One Image Restoration via HOG Transformers


Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration


Beyond Diagonal Reconfigurable Intelligent Surfaces Utilizing Graph Theory: Modeling, Architecture Design, and Optimization


Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion


Beyond Discrete Genres: Mapping News Items onto a Multidimensional Framework of Genre Cues


Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversations


Beyond Discretization: Learning the Optimal Solution Path


Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics


Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence


Beyond Document Page Classification: Design, Datasets, and Challenges


Beyond Domain Gap: Exploiting Subjectivity in Sketch-Based Person Retrieval


Beyond Domain Randomization: Event-Inspired Perception for Visually Robust Adversarial Imitation from Videos


Beyond Double Ascent via Recurrent Neural Tangent Kernel in Sequential Recommendation


Beyond Duplicates: Towards Understanding and Predicting Link Types in Issue Tracking Systems


Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling


Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models


Beyond Embeddings: The Promise of Visual Table in Visual Reasoning


Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding


Beyond English-Only Reading Comprehension: Experiments in Zero-Shot Multilingual Transfer for Bulgarian


Beyond English: Evaluating Automated Measurement of Moral Foundations in Non-English Discourse with a Chinese Case Study


Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting


Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS


Beyond FACS: Data-driven Facial Expression Dictionaries, with Application to Predicting Autism


Beyond FVD: Enhanced Evaluation Metrics for Video Generation Quality


Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation


Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators


Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors


Beyond Filtering: Adaptive Image-Text Quality Enhancement for MLLM Pretraining


Beyond Fine-Tuning: A Systematic Study of Sampling Techniques in Personalized Image Generation


Beyond Fixation: Dynamic Window Visual Transformer


Beyond Fixed Restriction Time: Adaptive Restricted Mean Survival Time Methods in Clinical Trials


Beyond Freezing: Sparse Tuning Enhances Plasticity in Continual Learning with Pre-Trained Models


Beyond Full Labels: Energy-Double-Guided Single-Point Prompt for Infrared Small Target Label Generation


Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual Tokens


Beyond Gait: Learning Knee Angle for Seamless Prosthesis Control in Multiple Scenarios


Beyond Generating Code: Evaluating GPT on a Data Visualization Course


Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training Model


Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis


Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good


Beyond Good and Evil: Formalizing the Security Guarantees of Compartmentalizing Compilation


Beyond Gradient Averaging in Parallel Optimization: Improved Robustness through Gradient Agreement Filtering


Beyond Gradient Descent for Regularized Segmentation Losses


Beyond Graph Neural Networks with Lifted Relational Neural Networks


Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?


Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers


Beyond Grids: Multi-objective Bayesian Optimization With Adaptive Discretization


Beyond Group Means and Into the World of Individuals: A Distributional Spotlight for Experimental Effects on Individuals


Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization


Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting


Beyond Hard and Soft: Hybrid Context Compression for Balancing Local and Global Information Retention


Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point Processes


Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering


Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution


Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification


Beyond Human-Level Accuracy: Computational Challenges in Deep Learning


Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases


Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition


Beyond Image Prior: Embedding Noise Prior into Conditional Denoising Transformer


Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss


Beyond Image to Depth: Improving Depth Prediction using Echoes


Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation


Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment


Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization


Beyond In-Domain Scenarios: Robust Density-Aware Calibration


Beyond Incompatibility: Trade-offs between Mutually Exclusive Fairness Criteria in Machine Learning and Law


Beyond Individual Input for Deep Anomaly Detection on Tabular Data


Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube


Beyond Intermediate States: Explaining Visual Redundancy through Language


Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness


Beyond Intuition, a Framework for Applying GPs to Real-World Data


Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor


Beyond KV Caching: Shared Attention for Efficient LLMs


Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking


Beyond Knowledge Silos: Task Fingerprinting for Democratization of Medical Imaging AI


Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery


Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models


Beyond Labeling: Using Clustering to Build Network Behavioral Profiles of Malware Families