← Models
Deep Learning › Models ›

Variational Inference

1946 directly classified papers

Papers per year

Papers

Variational Mixture of HyperGenerators for Learning Distributions over Functions ICML 2023
Rigid Body Flows for Sampling Molecular Crystal Structures ICML 2023
Do Bayesian Neural Networks Need To Be Fully Stochastic? AISTATS 2023
Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction CVPR 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives NIPS 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network ICML 2023
GFlowNet-EM for Learning Compositional Latent Variable Models ICML 2023
Generative Decoding of Visual Stimuli ICML 2023
Free-Form Variational Inference for Gaussian Process State-Space Models ICML 2023
Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space ICML 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations ICML 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression ICML 2023
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning ICML 2023
Variational Autoencoding Neural Operators ICML 2023
Spectral Bayesian Uncertainty for Image Super-Resolution CVPR 2023
Guided Deep Kernel Learning UAI 2023
Variational Distribution Learning for Unsupervised Text-to-Image Generation CVPR 2023
Bayesian Posterior Approximation With Stochastic Ensembles CVPR 2023
Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation EMNLP 2023
Boosting Summarization with Normalizing Flows and Aggressive Training EMNLP 2023
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space EMNLP 2023
Learning to Abstract with Nonparametric Variational Information Bottleneck EMNLP 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation EMNLP 2023
Eliciting Rich Positive Emotions in Dialogue Generation ACL 2023
Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training EACL 2023