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Variational Inference

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TitleStatusHype
Variational Inference for SDEs Driven by Fractional Noise—0
Optimising Distributions with Natural Gradient SurrogatesCode0
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning—0
PhyloGFN: Phylogenetic inference with generative flow networksCode0
Discovering Mixtures of Structural Causal Models from Time Series DataCode1
High Dimensional Causal Inference with Variational Backdoor AdjustmentCode0
Subspace Identification for Multi-Source Domain AdaptationCode0
Sampling via Gradient Flows in the Space of Probability Measures—0
Variational Inference for GARCH-family Models—0
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning—0
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent—0
Improved Variational Bayesian Phylogenetic Inference using MixturesCode0
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic ConstraintsCode1
Reparameterized Variational Rejection Sampling—0
Variational Inference for Scalable 3D Object-centric Learning—0
Independent projections of diffusions: Gradient flows for variational inference and optimal mean field approximations—0
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian ProcessesCode0
BayesDLL: Bayesian Deep Learning LibraryCode1
Semi-Supervised Variational Inference over Nonlinear Channels—0
Bayesian sparsification for deep neural networks with Bayesian model reductionCode1
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models—0
Posterior sampling algorithms for unsupervised speech enhancement with recurrent variational autoencoder—0
Pearl's and Jeffrey's Update as Modes of Learning in Probabilistic Programming—0
Towards the TopMost: A Topic Modeling System Toolkit—0
Amortised Inference in Bayesian Neural NetworksCode0
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference—0
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks—0
Exact Inference for Continuous-Time Gaussian Process Dynamics—0
Distributed Variational Inference for Online Supervised LearningCode0
Variational Bayesian Imaging with an Efficient Surrogate Score-based PriorCode1
Interactive Graph Convolutional Filtering—0
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge TracingCode0
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space ModelsCode1
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
Natural Evolution Strategies as a Black Box Estimator for Stochastic Variational Inference—0
A Survey on Brain-Inspired Deep Learning via Predictive Coding—0
Learning Distributions via Monte-Carlo Marginalization—0
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks—0
Comparing the quality of neural network uncertainty estimates for classification problems—0
Probabilistic Neural Transfer Function Estimation with Bayesian System Identification—0
Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns—0
Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image DenoisingCode1
Path Signatures for Diversity in Probabilistic Trajectory Optimisation—0
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