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Variational Inference

1946 directly classified papers

Papers per year

Papers

Modality-Agnostic Variational Compression of Implicit Neural Representations ICML 2023
Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning NIPS 2023
MixFlows: principled variational inference via mixed flows ICML 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration NIPS 2023
Gradient-Free Kernel Stein Discrepancy NIPS 2023
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions NIPS 2023
Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking CVPR 2023
Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States NIPS 2023
Generating Features With Increased Crop-Related Diversity for Few-Shot Object Detection CVPR 2023
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows ICML 2023
Latent Traversals in Generative Models as Potential Flows ICML 2023
Masked Autoencoders Enable Efficient Knowledge Distillers CVPR 2023
Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction CVPR 2023
Variational Gaussian processes for linear inverse problems NIPS 2023
Learning Graph Variational Autoencoders With Constraints and Structured Priors for Conditional Indoor 3D Scene Generation WACV 2023
Variational Inference with Gaussian Score Matching NIPS 2023
Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory NIPS 2023
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders JMLR 2023
Bayesian Posterior Approximation With Stochastic Ensembles CVPR 2023
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck AISTATS 2023
Factorial SDE for Multi-Output Gaussian Process Regression AISTATS 2023
Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach AISTATS 2023
Monotonic Alpha-divergence Minimisation for Variational Inference JMLR 2023
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification AISTATS 2023
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data JMLR 2023