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Variational Inference

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TitleStatusHype
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood EstimationCode0
VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference—0
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
BayesDAG: Gradient-Based Posterior Inference for Causal DiscoveryCode1
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
Variational Inference with Gaussian Score MatchingCode1
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
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference—0
LINFA: a Python library for variational inference with normalizing flow and annealingCode1
Neural Causal Graph Collaborative FilteringCode0
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
Transport meets Variational Inference: Controlled Monte Carlo DiffusionsCode1
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
Joint Prompt Optimization of Stacked LLMs using Variational InferenceCode1
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
Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language—0
Variational Positive-incentive Noise: How Noise Benefits ModelsCode0
Conditional Matrix Flows for Gaussian Graphical ModelsCode1
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma—0
VIFS: An End-to-End Variational Inference for Foley Sound SynthesisCode0
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process ModelsCode0
GCD-DDPM: A Generative Change Detection Model Based on Difference-Feature Guided DDPMCode0
Path-Specific Counterfactual Fairness for Recommender SystemsCode1
Input-gradient space particle inference for neural network ensemblesCode0
Deep Active Learning with Structured Neural Depth Search—0
Provable convergence guarantees for black-box variational inference—0
ContraBAR: Contrastive Bayes-Adaptive Deep RLCode1
Variational Gaussian Process Diffusion ProcessesCode0
An information field theory approach to Bayesian state and parameter estimation in dynamical systemsCode1
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