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Variational Inference

2,186 papers

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Papers

Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023 Real-time variational method for learning neural trajectory and its dynamics ICLR 2023 RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling EMNLP 2023 Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild CVPR 2023 Representation Uncertainty in Self-Supervised Learning as Variational Inference ICCV 2023 Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator CVPR 2023 Revisiting Structured Variational Autoencoders ICML 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 Variational Autoencoding with Wasserstein Penalty for Novelty Detection AISTATS 2023 Robust Weak Supervision with Variational Auto-Encoders ICML 2023 S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion Interspeech 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 Self-supervised Predictive Coding Models Encode Speaker and Phonetic Information in Orthogonal Subspaces Interspeech 2023 Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows ICML 2023 Semi-Implicit Variational Inference via Score Matching ICLR 2023 Semi-Parametric Inducing Point Networks and Neural Processes ICLR 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 SIMPLE: A Gradient Estimator for k-Subset Sampling ICLR 2023 Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck AISTATS 2023 Spectral Bayesian Uncertainty for Image Super-Resolution CVPR 2023 Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023