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variational inference

2069 papers

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VI

Co-occurring keywords

bayesian inference (1904) gaussian process (1198) generative model (2889) variational autoencoder (1282) latent variable model (564) probabilistic modeling (851) representation learning (6174) uncertainty quantification (1365) latent variable (541) approximate inference (253)

Papers

Diffusion Model as Representation Learner ICCV 2023
Video Probabilistic Diffusion Models in Projected Latent Space CVPR 2023
Representation Uncertainty in Self-Supervised Learning as Variational Inference ICCV 2023
Bayesian Prompt Learning for Image-Language Model Generalization ICCV 2023
State and parameter learning with PARIS particle Gibbs ICML 2023
Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising ICCV 2023
Variational Degeneration to Structural Refinement: A Unified Framework for Superimposed Image Decomposition ICCV 2023
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery NIPS 2023
Pluralistic Aging Diffusion Autoencoder ICCV 2023
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior ICCV 2023
Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction ICCV 2023
Provable convergence guarantees for black-box variational inference NIPS 2023
A Targeted Accuracy Diagnostic for Variational Approximations AISTATS 2023
DeePMOS: Deep Posterior Mean-Opinion-Score of Speech INTERSPEECH 2023
GFlowOut: Dropout with Generative Flow Networks ICML 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation AISTATS 2023
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models ICML 2023
PAC-Bayesian Generalization Bounds for Adversarial Generative Models ICML 2023
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer INTERSPEECH 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023
Rigid Body Flows for Sampling Molecular Crystal Structures ICML 2023
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023
Effective Neural Topic Modeling with Embedding Clustering Regularization ICML 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data ICML 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation ICML 2023