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| Learning Optimal Filters Using Variational Inference | Jun 26, 2024 | Variational Inference | —Unverified | 0 |
| Learning proposals for sequential importance samplers using reinforced variational inference | Mar 16, 2019 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Local-HDP: Interactive Open-Ended 3D Object Categorization in Real-Time Robotic Scenarios | Sep 2, 2020 | Object CategorizationVariational Inference | —Unverified | 0 |
| Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems | Jun 14, 2023 | State EstimationState Space Models | —Unverified | 0 |
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| Deep Operator Networks for Bayesian Parameter Estimation in PDEs | Jan 18, 2025 | parameter estimationPDE Surrogate Modeling | —Unverified | 0 |
| Learning Deep Latent-variable MRFs with Amortized Bethe Free Energy Minimization | Mar 27, 2019 | Variational Inference | —Unverified | 0 |
| Local Expectation Gradients for Black Box Variational Inference | Dec 1, 2015 | Variational Inference | —Unverified | 0 |
