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Variational Inference

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TitleStatusHype
Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy—0
Stability of Mean-Field Variational Inference—0
Variational Supervised Contrastive Learning—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 Adaptive Noise and Dropout towards Stable Recurrent Neural Networks—0
Variational Inference for Latent Variable Models in High Dimensions—0
Self-supervised Latent Space Optimization with Nebula Variational Coding—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
Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference—0
Variational Deep Learning via Implicit Regularization—0
Scalable Gaussian Processes with Low-Rank Deep Kernel Decomposition—0
Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent NetworksCode0
Efficient Training of Neural SDEs Using Stochastic Optimal Control—0
Exponential Convergence of CAVI for Bayesian PCA—0
Personalized Bayesian Federated Learning with Wasserstein Barycenter Aggregation—0
Training Latent Diffusion Models with Interacting Particle Algorithms—0
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