| Towards Effective and Robust Neural Trojan Defenses via Input Filtering | Feb 24, 2022 | Data Compressioninput filtering | —Unverified | 0 |
| Partitioned Variational Inference: A Framework for Probabilistic Federated Learning | Feb 24, 2022 | Federated LearningVariational Inference | CodeCode Available | 0 |
| Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function | Feb 24, 2022 | DiversityVariational Inference | —Unverified | 0 |
| Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation | Feb 23, 2022 | Model SelectionVariational Inference | —Unverified | 0 |
| Wide Mean-Field Bayesian Neural Networks Ignore the Data | Feb 23, 2022 | Variational Inference | CodeCode Available | 0 |
| Variational encoding approach for interpretable assessment of remaining useful life estimation | Feb 23, 2022 | ManagementRemaining Useful Lifetime Estimation | CodeCode Available | 1 |
| Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations | Feb 22, 2022 | Density EstimationVariational Inference | CodeCode Available | 0 |
| Unsupervised Multiple-Object Tracking with a Dynamical Variational Autoencoder | Feb 18, 2022 | Multi-Object TrackingMultiple Object Tracking | —Unverified | 0 |
| Information Theory with Kernel Methods | Feb 17, 2022 | Variational Inference | —Unverified | 0 |
| Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods | Feb 17, 2022 | Variational Inference | —Unverified | 0 |
| Reinforcement Learning in Presence of Discrete Markovian Context Evolution | Feb 14, 2022 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Bernstein Flows for Flexible Posteriors in Variational Bayes | Feb 11, 2022 | Variational Inference | CodeCode Available | 0 |
| Bayesian Nonparametrics for Offline Skill Discovery | Feb 9, 2022 | Imitation Learningreinforcement-learning | CodeCode Available | 0 |
| A Variational Edge Partition Model for Supervised Graph Representation Learning | Feb 7, 2022 | ClassificationGraph Representation Learning | CodeCode Available | 0 |
| Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery | Feb 7, 2022 | DecoderDisentanglement | —Unverified | 0 |
| 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 |
