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Variational Inference

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Showing 801–850 of 2274 papers

TitleStatusHype
Smoothing volatility targeting—0
Learning and Predicting Multimodal Vehicle Action Distributions in a Unified Probabilistic Model Without Labels—0
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning—0
Further analysis of multilevel Stein variational gradient descent with an application to the Bayesian inference of glacier ice models—0
Learning the joint distribution of two sequences using little or no paired data—0
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field—0
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation—0
Variational Laplace Autoencoders—0
Particle-based Variational Inference with Preconditioned Functional Gradient Flow—0
MP-GELU Bayesian Neural Networks: Moment Propagation by GELU Nonlinearity—0
Compositional Scene Modeling with Global Object-Centric Representations—0
Bayesian Learning for Neural Networks: an algorithmic survey—0
Deep Gaussian Processes for Air Quality InferenceCode0
Prediction and Uncertainty Quantification of SAFARI-1 Axial Neutron Flux Profiles with Neural Networks—0
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors—0
On the Performance of Direct Loss Minimization for Bayesian Neural Networks—0
Variational Augmentation for Enhancing Historical Document Image BinarizationCode0
Thompson Sampling for High-Dimensional Sparse Linear Contextual BanditsCode0
Towards Improved Learning in Gaussian Processes: The Best of Two Worlds—0
Black-box Coreset Variational InferenceCode0
Deconfounding Imitation Learning with Variational InferenceCode0
Automatic differentiation is no panacea for phylogenetic gradient computationCode0
FUNCK: Information Funnels and Bottlenecks for Invariant Representation Learning—0
Fast and efficient speech enhancement with variational autoencoders—0
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics—0
Variational Inference Aided Estimation of Time Varying Channels—0
Period VITS: Variational Inference with Explicit Pitch Modeling for End-to-end Emotional Speech Synthesis—0
DPVIm: Differentially Private Variational Inference Improved—0
Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning ApproachCode0
Adversarial Purification with the Manifold Hypothesis—0
Manifold Gaussian Variational Bayes on the Precision MatrixCode0
Rhino: Deep Causal Temporal Relationship Learning With History-dependent Noise—0
On the optimization and pruning for Bayesian deep learningCode0
GFlowOut: Dropout with Generative Flow Networks—0
On Representations of Mean-Field Variational Inference—0
Solving Reasoning Tasks with a Slot Transformer—0
Rethinking Sharpness-Aware Minimization as Variational InferenceCode0
A Variational Perspective on Generative Flow Networks—0
On the Relationship Between Variational Inference and Auto-Associative MemoryCode0
Joint control variate for faster black-box variational inferenceCode0
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification—0
Dirichlet process mixture models for non-stationary data streams—0
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics—0
Latent Neural ODEs with Sparse Bayesian Multiple ShootingCode0
Scaling up Stochastic Gradient Descent for Non-convex Optimisation—0
Few-shot Generation of Personalized Neural Surrogates for Cardiac Simulation via Bayesian Meta-LearningCode0
Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength—0
Uncertainty estimations methods for a deep learning model to aid in clinical decision-making -- a clinician's perspective—0
GFlowNets and variational inferenceCode0
Learnable Distribution Calibration for Few-Shot Class-Incremental Learning—0
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