| Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport | Feb 3, 2022 | Variational Inference | CodeCode Available | 0 |
| Posterior temperature optimized Bayesian models for inverse problems in medical imaging | Feb 2, 2022 | Bayesian OptimizationDenoising | CodeCode Available | 0 |
| Tutorial on amortized optimization | Feb 1, 2022 | Meta-Learningreinforcement-learning | CodeCode Available | 2 |
| AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation | Feb 1, 2022 | Computational Efficiencyparameter estimation | CodeCode Available | 0 |
| A heteroencoder architecture for prediction of failure locations in porous metals using variational inference | Jan 31, 2022 | DecoderVariational Inference | —Unverified | 0 |
| Continual Repeated Annealed Flow Transport Monte Carlo | Jan 31, 2022 | Variational Inference | CodeCode Available | 1 |
| Denoising Diffusion Restoration Models | Jan 27, 2022 | ColorizationDeblurring | CodeCode Available | 2 |
| Constrained Structure Learning for Scene Graph Generation | Jan 27, 2022 | Graph GenerationScene Graph Generation | —Unverified | 0 |
| Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift | Jan 27, 2022 | Variational Inference | CodeCode Available | 0 |
| Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives | Jan 26, 2022 | Variational Inference | —Unverified | 0 |
