| Disentangling by Partitioning: A Representation Learning Framework for Multimodal Sensory Data | May 29, 2018 | Representation LearningVariational Inference | —Unverified | 0 |
| Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI | Dec 11, 2024 | Variational Inference | —Unverified | 0 |
| Accelerating Particle-based Energetic Variational Inference | Apr 4, 2025 | Variational Inference | —Unverified | 0 |
| Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders | Dec 14, 2016 | ObjectTransfer Learning | —Unverified | 0 |
| Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis | Jun 17, 2022 | MuJoCoStarcraft | —Unverified | 0 |
| A heteroencoder architecture for prediction of failure locations in porous metals using variational inference | Jan 31, 2022 | DecoderVariational Inference | —Unverified | 0 |
| Beyond black-boxes in Bayesian inverse problems and model validation: applications in solid mechanics of elastography | Mar 2, 2018 | Variational Inference | —Unverified | 0 |
| A stable deep adversarial learning approach for geological facies generation | May 12, 2023 | Variational Inference | —Unverified | 0 |
| Semi-Implicit Variational Inference via Kernelized Path Gradient Descent | Jun 5, 2025 | Variational Inference | —Unverified | 0 |
| Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities | Dec 2, 2023 | Density EstimationFederated Learning | —Unverified | 0 |
