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Variational Inference

1946 directly classified papers

Papers per year

Papers

Learning from Multiple Sources for Data-to-Text and Text-to-Data AISTATS 2023
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions NIPS 2023
Variational Gaussian processes for linear inverse problems NIPS 2023
Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction CVPR 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning AAAI 2023
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking CVPR 2023
Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023
Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection AISTATS 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations ICML 2023
Uncertainty-aware Unsupervised Video Hashing AISTATS 2023
Masked Autoencoders Enable Efficient Knowledge Distillers CVPR 2023
Gradient-Free Kernel Stein Discrepancy NIPS 2023
Robust and Adaptive Deep Learning via Bayesian Principles AAAI 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations ICML 2023
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation NIPS 2023
Variational Inference with Gaussian Score Matching NIPS 2023
Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023
On the Convergence of Black-Box Variational Inference NIPS 2023
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation NIPS 2023
Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations AAAI 2023
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows ICML 2023
Latent Traversals in Generative Models as Potential Flows ICML 2023
Indeterminacy in Generative Models: Characterization and Strong Identifiability AISTATS 2023
Do Bayesian Neural Networks Need To Be Fully Stochastic? AISTATS 2023
Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild CVPR 2023