| Variational Resampling Based Assessment of Deep Neural Networks under Distribution Shift | Jun 7, 2019 | Domain AdaptationDomain Generalization | CodeCode Available | 0 |
| Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models | Feb 23, 2019 | Decision MakingDialogue Generation | CodeCode Available | 0 |
| Synonymous Variational Inference for Perceptual Image Compression | May 28, 2025 | Image CompressionVariational Inference | CodeCode Available | 0 |
| All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference | Jul 1, 2020 | AllVariational Inference | CodeCode Available | 0 |
| Compound Probabilistic Context-Free Grammars for Grammar Induction | Jun 24, 2019 | Constituency Grammar InductionSentence | CodeCode Available | 0 |
| Rethinking Sharpness-Aware Minimization as Variational Inference | Oct 19, 2022 | Variational Inference | CodeCode Available | 0 |
| Adaptive Robust Learning using Latent Bernoulli Variables | Dec 1, 2023 | Variational Inference | CodeCode Available | 0 |
| Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach | Jul 4, 2022 | Variational Inference | CodeCode Available | 0 |
| Rethinking Variational Inference for Probabilistic Programs with Stochastic Support | Nov 1, 2023 | Variational Inference | CodeCode Available | 0 |
| Loss convergence in a causal Bayesian neural network of retail firm performance | Aug 29, 2020 | Variational Inference | CodeCode Available | 0 |
| Accelerating Convergence in Bayesian Few-Shot Classification | May 2, 2024 | ClassificationFew-Shot Learning | CodeCode Available | 0 |
| Revisiting Active Sets for Gaussian Process Decoders | Sep 10, 2022 | DecoderGaussian Processes | CodeCode Available | 0 |
| Variational Inference with Continuously-Indexed Normalizing Flows | Jul 10, 2020 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 |
| Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization | Nov 9, 2020 | Variational Inference | CodeCode Available | 0 |
| Reweighted Expectation Maximization | Jun 13, 2019 | Bayesian InferenceDensity Estimation | CodeCode Available | 0 |
| Low-Order Flow Reconstruction and Uncertainty Quantification in Disturbed Aerodynamics Using Sparse Pressure Measurements | Jan 6, 2025 | Computational EfficiencyUncertainty Quantification | CodeCode Available | 0 |
| Compositional uncertainty in deep Gaussian processes | Sep 17, 2019 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex Scenarios | Apr 4, 2025 | Computational EfficiencyPhotoplethysmography (PPG) heart rate estimation | CodeCode Available | 0 |
| Variational Inference with Coverage Guarantees in Simulation-Based Inference | May 23, 2023 | Variational Inference | CodeCode Available | 0 |
| Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features | Dec 1, 2021 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Bayesian Neural Networks With Maximum Mean Discrepancy Regularization | Mar 2, 2020 | image-classificationImage Classification | CodeCode Available | 0 |
| Marginally calibrated response distributions for end-to-end learning in autonomous driving | Oct 3, 2021 | Autonomous DrivingPrediction Intervals | CodeCode Available | 0 |
| Risk-sensitive control as inference with Rényi divergence | Nov 4, 2024 | Reinforcement Learning (RL)Variational Inference | CodeCode Available | 0 |
| A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty | Jul 5, 2023 | modelVariational Inference | CodeCode Available | 0 |
| Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression | Dec 14, 2024 | Computational EfficiencyDiversity | CodeCode Available | 0 |