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Variational Inference

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Showing 101–150 of 2274 papers

TitleStatusHype
Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic SpaceCode0
Can Transformers Learn Full Bayesian Inference in Context?Code1
Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer—0
Approximate Message Passing for Bayesian Neural NetworksCode0
Deep Operator Networks for Bayesian Parameter Estimation in PDEs—0
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading—0
Globally Convergent Variational InferenceCode0
Compact Bayesian Neural Networks via pruned MCMC samplingCode0
Analog Bayesian neural networks are insensitive to the shape of the weight distribution—0
Generative Flow Networks: Theory and Applications to Structure Learning—0
Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse ProblemsCode2
Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure MeasurementsCode0
A Particle Algorithm for Mean-Field Variational Inference—0
Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes—0
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation—0
Convergence of Statistical Estimators via Mutual Information Bounds—0
Learning Set Functions with Implicit Differentiation—0
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionCode0
Enhance Vision-Language Alignment with NoiseCode1
Efficient Generative Modeling with Residual Vector Quantization-Based Tokens—0
Stochastic Learning of Non-Conjugate Variational Posterior for Image Classification—0
Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI—0
Training-Free Bayesianization for Low-Rank Adapters of Large Language ModelsCode1
DPGIIL: Dirichlet Process-Deep Generative Model-Integrated Incremental Learning for Clustering in Transmissibility-based Online Structural Anomaly Detection—0
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
Scalable Bayesian Tensor Ring Factorization for Multiway Data AnalysisCode0
Generative Modeling of Neural Dynamics via Latent Stochastic Differential Equations—0
VIPaint: Image Inpainting with Pre-Trained Diffusion Models via Variational Inference—0
Understanding Machine Learning Paradigms through the Lens of Statistical Thermodynamics: A tutorial—0
Variational Autoencoders for Efficient Simulation-Based Inference—0
Gradient-based optimization for variational empirical Bayes multiple regressionCode0
Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks—0
LazyDINO: Fast, scalable, and efficiently amortized Bayesian inversion via structure-exploiting and surrogate-driven measure transport—0
C^2INet: Realizing Incremental Trajectory Prediction with Prior-Aware Continual Causal Intervention—0
Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning—0
Variational Bayesian Bow tie Neural Networks with ShrinkageCode0
Sparse Bayesian Generative Modeling for Compressive SensingCode0
PKF: Probabilistic Data Association Kalman Filter for Multi-Object TrackingCode1
PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation LearningCode0
Streaming Bayes GFlowNets—0
Discovering Latent Structural Causal Models from Spatio-Temporal Data—0
Variational Inference on the Boolean Hypercube with the Quantum EntropyCode0
Recursive Learning of Asymptotic Variational Objectives—0
Risk-sensitive control as inference with Rényi divergenceCode0
EigenVI: score-based variational inference with orthogonal function expansions—0
Functional Gradient Flows for Constrained SamplingCode0
Batch, match, and patch: low-rank approximations for score-based variational inference—0
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors—0
SimSiam Naming Game: A Unified Approach for Representation Learning and Emergent Communication—0
Variational inference for pile-up removal at hadron colliders with diffusion models—0
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