Papers Using This Method
Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature Selection2025-07-15Branching Stein Variational Gradient Descent for sampling multimodal distributions2025-06-16Robust Recursive Fusion of Multiresolution Multispectral Images with Location-Aware Neural Networks2025-06-16Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications2025-06-13Bayesian Probabilistic Matrix Factorization2025-06-11Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy2025-06-10Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing2025-06-09Stability of Mean-Field Variational Inference2025-06-09Variational Supervised Contrastive Learning2025-06-09Amortized variational transdimensional inference2025-06-05Semi-Implicit Variational Inference via Kernelized Path Gradient Descent2025-06-05MudiNet: Task-guided Disentangled Representation Learning for 5G Indoor Multipath-assisted Positioning2025-06-04Self-supervised Latent Space Optimization with Nebula Variational Coding2025-06-02Variational Inference for Latent Variable Models in High Dimensions2025-06-02Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification2025-05-31Learning Distributions over Permutations and Rankings with Factorized Representations2025-05-30Synonymous Variational Inference for Perceptual Image Compression2025-05-28Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference2025-05-27Variational Deep Learning via Implicit Regularization2025-05-26Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks2025-05-24