bayesian filtering

Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems UAI 2026 Deep Bayesian Filter for Bayes-Faithful Data Assimilation ICML 2025 Filtered not Mixed: Filtering-Based Online Gating for Mixture of Large Language Models ICLR 2025 Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data ICLR 2025 Implicit Maximum a Posteriori Filtering via Adaptive Optimization ICLR 2024 Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation ICML 2024 Recurrent Neural Networks and Universal Approximation of Bayesian Filters AISTATS 2023 Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation NeurIPS 2022 Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods NeurIPS 2020 Generalised Bayesian Filtering via Sequential Monte Carlo NeurIPS 2020 Neural RGB(r)D Sensing: Depth and Uncertainty From a Video Camera CVPR 2019 Lifted Filtering via Exchangeable Decomposition IJCAI 2018 Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control ICML 2017 A Tractable Approximation to Optimal Point Process Filtering: Application to Neural Encoding NeurIPS 2015 rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos RSS 2015 Reactive bandits with attitude AISTATS 2015 Real-Time Joint Estimation of Camera Orientation and Vanishing Points CVPR 2015 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 Analytical Results for the Error in Filtering of Gaussian Processes NeurIPS 2011 A Neural Implementation of the Kalman Filter NeurIPS 2009