particle filter

Belief-Driven Value Alignment for Human-Robot Collaboration AAAI 2026 Real-Time Tracking of Flexible Markers in Low-Contrast Fluoroscopy Using a Deep Neural Network Trained Solely on Synthetic Data WACV 2026 Backward Filtering Forward Guiding JMLR 2025 Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning L4DC 2025 Trust-Region Twisted Policy Improvement ICML 2025 A Metalearned Neural Circuit for Nonparametric Bayesian Inference NeurIPS 2024 Constraint-Aware Intent Estimation for Dynamic Human-Robot Object Co-Manipulation RSS 2024 Learning to be Smooth: An End-to-End Differentiable Particle Smoother NeurIPS 2024 Nesting Particle Filters for Experimental Design in Dynamical Systems ICML 2024 Nonlinear Filtering with Brenier Optimal Transport Maps ICML 2024 On Unbiased Estimation for Partially Observed Diffusions JMLR 2024 Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint) IJCAI 2024 The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement CVPR 2024 Variational Resampling AISTATS 2024 Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions ICML 2023 Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking CVPR 2023 Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes NeurIPS 2023 Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality JMLR 2023 Tactile-Filter: Interactive Tactile Perception for Part Mating RSS 2023 Adapting Neural Models with Sequential Monte Carlo Dropout CoRL 2022 Continual Repeated Annealed Flow Transport Monte Carlo ICML 2022 De-Sequentialized Monte Carlo: a parallel-in-time particle smoother JMLR 2022 Online Neural Sequence Detection with Hierarchical Dirichlet Point Process NeurIPS 2022 Variational Marginal Particle Filters AISTATS 2022 Adaptive Online Packing-guided Search for POMDPs NeurIPS 2021