variational inference

Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NeurIPS 2023 PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism ACL 2023 Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023 Real-time variational method for learning neural trajectory and its dynamics ICLR 2023 Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023 Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023 Representation Uncertainty in Self-Supervised Learning as Variational Inference ICCV 2023 Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise ICLR 2023 Riemannian Laplace approximations for Bayesian neural networks NeurIPS 2023 Rigid Body Flows for Sampling Molecular Crystal Structures ICML 2023 Robust and Adaptive Deep Learning via Bayesian Principles AAAI 2023 Robust and Scalable Gaussian Process Regression and Its Applications CVPR 2023 Robustness to corruption in pre-trained Bayesian neural networks ICLR 2023 Robust Outlier Rejection for 3D Registration With Variational Bayes CVPR 2023 Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation ICML 2023 Scalable marked point processes for exchangeable and non-exchangeable event sequences AISTATS 2023 Score-Based Diffusion Models as Principled Priors for Inverse Imaging ICCV 2023 Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising ICCV 2023 Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023 Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows ICML 2023 Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023 Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting ICLR 2023 Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023 State and parameter learning with PARIS particle Gibbs ICML 2023 Stein Π-Importance Sampling NeurIPS 2023