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Variational Inference

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TitleStatusHype
Nash: Neural Adaptive Shrinkage for Structured High-Dimensional Regression—0
PhiNet v2: A Mask-Free Brain-Inspired Vision Foundation Model from VideoCode0
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering—0
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism—0
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review—0
Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approach—0
Stochastic Variational Propagation: Local, Scalable and Efficient Alternative to Backpropagation—0
Variational Formulation of the Particle Flow Particle Filter—0
IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data—0
Factor Analysis with Correlated Topic Model for Multi-Modal Data—0
Uncertainty quantification of neural network models of evolving processes via Langevin sampling—0
Expected Free Energy-based Planning as Variational Inference—0
Large Language Bayes—0
Uncertainty Estimation for Trust Attribution to Speed-of-Sound Reconstruction with Variational Networks—0
No-Regret Generative Modeling via Parabolic Monge-Ampère PDE—0
Unifying and extending Diffusion Models through PDEs for solving Inverse Problems—0
Variational Self-Supervised Learning—0
Stochastic Variational Inference with Tuneable Stochastic Annealing—0
Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching—0
Accelerating Particle-based Energetic Variational Inference—0
RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex ScenariosCode0
UP-dROM : Uncertainty-Aware and Parametrised dynamic Reduced-Order Model, application to unsteady flows—0
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers—0
Benchmarking and optimizing organism wide single-cell RNA alignment methodsCode0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
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