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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

Learning Hierarchical Features with Joint Latent Space Energy-Based Prior ICCV 2023
Diffusion Model as Representation Learner ICCV 2023
Robust and Adaptive Deep Learning via Bayesian Principles AAAI 2023
NAS-X: Neural Adaptive Smoothing via Twisting NIPS 2023
Reparameterized Policy Learning for Multimodal Trajectory Optimization ICML 2023
Pluralistic Aging Diffusion Autoencoder ICCV 2023
Bayesian Prompt Learning for Image-Language Model Generalization ICCV 2023
Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics AAAI 2023
Deep Latent State Space Models for Time-Series Generation ICML 2023
Effective Neural Topic Modeling with Embedding Clustering Regularization ICML 2023
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models ICML 2023
GFlowOut: Dropout with Generative Flow Networks ICML 2023
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference ICML 2023
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023
PAC-Bayesian Generalization Bounds for Adversarial Generative Models ICML 2023
Plausible Uncertainties for Human Pose Regression ICCV 2023
HierVST: Hierarchical Adaptive Zero-shot Voice Style Transfer INTERSPEECH 2023
Compositional Score Modeling for Simulation-Based Inference ICML 2023
An improved variational approximate posterior for the deep Wishart process UAI 2023
DeePMOS: Deep Posterior Mean-Opinion-Score of Speech INTERSPEECH 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics NIPS 2023
Rigid Body Flows for Sampling Molecular Crystal Structures ICML 2023
Variational Degeneration to Structural Refinement: A Unified Framework for Superimposed Image Decomposition ICCV 2023
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization AAAI 2023