| Einstein VI: General and Integrated Stein Variational Inference in NumPyro | Jan 1, 2021 | Probabilistic ProgrammingVariational Inference | —Unverified | 0 |
| Disentangled Representation Learning with Transmitted Information Bottleneck | Nov 3, 2023 | DisentanglementRepresentation Learning | —Unverified | 0 |
| Disease Trajectory Maps | Jun 29, 2016 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Nash: Neural Adaptive Shrinkage for Structured High-Dimensional Regression | May 16, 2025 | regressionVariational Inference | —Unverified | 0 |
| Discrete-Valued Neural Networks Using Variational Inference | Jan 1, 2018 | QuantizationVariational Inference | —Unverified | 0 |
| 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 |
| A Particle Algorithm for Mean-Field Variational Inference | Dec 29, 2024 | Variational Inference | —Unverified | 0 |
| Disentangling Space and Time in Video with Hierarchical Variational Auto-encoders | Dec 14, 2016 | ObjectTransfer Learning | —Unverified | 0 |
| Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification | May 30, 2022 | Gaussian ProcessesMulti-class Classification | —Unverified | 0 |
