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Variational Inference

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TitleStatusHype
Central Limit Theorem for Bayesian Neural Network trained with Variational Inference—0
Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte CarloCode0
Variational Flow Matching for Graph Generation—0
Stochastic full waveform inversion with deep generative prior for uncertainty quantification—0
Concurrent Training and Layer Pruning of Deep Neural Networks—0
Regularized KL-Divergence for Well-Defined Function-Space Variational Inference in Bayesian neural networks—0
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians—0
Approximation-Aware Bayesian Optimization—0
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement LearningCode0
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference—0
Posterior and variational inference for deep neural networks with heavy-tailed weights—0
Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics—0
Understanding Stochastic Natural Gradient Variational Inference—0
Modeling Randomly Observed Spatiotemporal Dynamical Systems—0
VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantificationCode1
Exploring Diffusion Models' Corruption Stage in Few-Shot Fine-tuning and Mitigating with Bayesian Neural Networks—0
Kernel Semi-Implicit Variational InferenceCode0
Rényi Neural Processes—0
ProDAG: Projected Variational Inference for Directed Acyclic GraphsCode0
On the Identification of Temporally Causal Representation with Instantaneous Dependence—0
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search—0
Zero-inflation in the Multivariate Poisson Lognormal FamilyCode1
Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target DistributionCode0
Variational Delayed Policy OptimizationCode0
Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder—0
Variance Control for Black Box Variational Inference Using The James-Stein Estimator—0
ASPIRE: Iterative Amortized Posterior Inference for Bayesian Inverse ProblemsCode0
Variational Schrödinger Diffusion Models—0
Scalable Amortized GPLVMs for Single Cell Transcriptomics Data—0
Few-sample Variational Inference of Bayesian Neural Networks with Arbitrary Nonlinearities—0
Accelerating Convergence in Bayesian Few-Shot ClassificationCode0
S^2AC: Energy-Based Reinforcement Learning with Stein Soft Actor CriticCode1
Implicit Generative Prior for Bayesian Neural NetworksCode0
Cauchy-Schwarz Divergence Information Bottleneck for RegressionCode1
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection—0
Bayesian evidence estimation from posterior samples with normalizing flows—0
Variational Bayesian Last LayersCode2
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective InferenceCode0
Analytical Approximation of the ELBO Gradient in the Context of the Clutter ProblemCode0
Sampling for Model Predictive Trajectory Planning in Autonomous Driving using Normalizing Flows—0
Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control—0
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation—0
Convergence of coordinate ascent variational inference for log-concave measures via optimal transport—0
TrajPRed: Trajectory Prediction with Region-based Relation LearningCode0
Variational Stochastic Gradient Descent for Deep Neural NetworksCode1
VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution DetectionCode0
Efficient Training of Probabilistic Neural Networks for Survival AnalysisCode0
Preventing Model Collapse in Gaussian Process Latent Variable ModelsCode0
Modeling uncertainty for Gaussian Splatting—0
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational AutoencoderCode0
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