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Variational Inference

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TitleStatusHype
Interpretable Bayesian Tensor Network Kernel Machines with Automatic Rank and Feature SelectionCode0
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace InferenceCode0
VHU-Net: Variational Hadamard U-Net for Body MRI Bias Field Correction—0
Variational Inference with Mixtures of Isotropic GaussiansCode0
Robust Recursive Fusion of Multiresolution Multispectral Images with Location-Aware Neural Networks—0
Branching Stein Variational Gradient Descent for sampling multimodal distributions—0
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications—0
Bayesian Probabilistic Matrix Factorization—0
Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy—0
Variational Supervised Contrastive Learning—0
Stability of Mean-Field Variational Inference—0
Bayesian Learning for Domain-Invariant Speaker Verification and Anti-Spoofing—0
Rao-Blackwellised Reparameterisation Gradients—0
Half-AVAE: Adversarial-Enhanced Factorized and Structured Encoder-Free VAE for Underdetermined Independent Component Analysis—0
Variational Inference for Quantum HyperNetworks—0
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent—0
Amortized variational transdimensional inferenceCode0
MudiNet: Task-guided Disentangled Representation Learning for 5G Indoor Multipath-assisted Positioning—0
Variational Inference for Latent Variable Models in High Dimensions—0
Self-supervised Latent Space Optimization with Nebula Variational Coding—0
Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks—0
Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification—0
Learning Distributions over Permutations and Rankings with Factorized Representations—0
Model Informed Flows for Bayesian Inference of Probabilistic Programs—0
Synonymous Variational Inference for Perceptual Image CompressionCode0
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