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Variational Inference

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TitleStatusHype
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge TracingCode0
PAVI: Plate-Amortized Variational Inference—0
Multi-Response Heteroscedastic Gaussian Process Models and Their Inference—0
Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach—0
Bayesian Exploration Networks—0
Finding the Perfect Fit: Applying Regression Models to ClimateBench v1.0Code0
Semi-Implicit Variational Inference via Score MatchingCode0
Spike-and-slab shrinkage priors for structurally sparse Bayesian neural networks—0
Bayesian polynomial neural networks and polynomial neural ordinary differential equations—0
A Survey on Brain-Inspired Deep Learning via Predictive Coding—0
Natural Evolution Strategies as a Black Box Estimator for Stochastic Variational Inference—0
Comparing the quality of neural network uncertainty estimates for classification problems—0
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification—0
Learning Distributions via Monte-Carlo Marginalization—0
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks—0
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns—0
Path Signatures for Diversity in Probabilistic Trajectory Optimisation—0
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference—0
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood EstimationCode0
Variational Label-Correlation Enhancement for Congestion Prediction—0
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer—0
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?—0
Learning minimal representations of stochastic processes with variational autoencodersCode0
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation—0
Amortized Variational Inference: When and Why?Code0
VITS : Variational Inference Thompson Sampling for contextual banditsCode0
Brain in the Dark: Design Principles for Neuro-mimetic Learning and Inference—0
Probabilistic Constrained Reinforcement Learning with Formal InterpretabilityCode0
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations—0
Function-Space Regularization for Deep Bayesian Classification—0
A Causal Ordering Prior for Unsupervised Representation Learning—0
Neural Causal Graph Collaborative FilteringCode0
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference—0
Learning Space-Time Continuous Neural PDEs from Partially Observed StatesCode0
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling—0
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree TopologiesCode0
A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertaintyCode0
Personalized Federated Learning via Amortized Bayesian Meta-Learning—0
Thompson sampling for improved exploration in GFlowNets—0
Latent SDEs on Homogeneous SpacesCode0
Stochastic Gradient Bayesian Optimal Experimental Designs for Simulation-based Inference—0
Variational latent discrete representation for time series modelling—0
Structure-Sensitive Graph Dictionary Embedding for Graph Classification—0
Neural Fast Full-Rank Spatial Covariance Analysis for Blind Source Separation—0
A Hierarchical Bayesian Model for Deep Few-Shot Meta LearningCode0
Structured Cooperative Learning with Graphical Model PriorsCode0
A Heavy-Tailed Algebra for Probabilistic Programming—0
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems—0
Variational Positive-incentive Noise: How Noise Benefits ModelsCode0
Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language—0
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