| Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification | May 31, 2025 | Variational Inference | —Unverified | 0 |
| Constrained Structure Learning for Scene Graph Generation | Jan 27, 2022 | Graph GenerationScene Graph Generation | —Unverified | 0 |
| Constraining the Dynamics of Deep Probabilistic Models | Feb 15, 2018 | Uncertainty QuantificationVariational Inference | —Unverified | 0 |
| ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models | Jun 23, 2021 | Density EstimationVariational Inference | —Unverified | 0 |
| Fully probabilistic deep models for forward and inverse problems in parametric PDEs | Aug 9, 2022 | Variational Inference | —Unverified | 0 |
| Gaussian Variational State Estimation for Nonlinear State-Space Models | Feb 7, 2020 | State EstimationState Space Models | —Unverified | 0 |
| Automatic Differentiation Variational Inference with Mixtures | Mar 3, 2020 | Variational Inference | —Unverified | 0 |
| Distance-Preserving Spatial Representations in Genomic Data | Aug 1, 2024 | Representation LearningTransfer Learning | —Unverified | 0 |
| Deep Quantization: Encoding Convolutional Activations with Deep Generative Model | Nov 29, 2016 | Action RecognitionFine-Grained Image Classification | —Unverified | 0 |
| Deep Network Regularization via Bayesian Inference of Synaptic Connectivity | Mar 4, 2018 | Bayesian InferenceVariational Inference | —Unverified | 0 |
