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Backprop KF: Learning Discriminative Deterministic State Estimators

23 May 2016

Pieter Abbeel

Papers citing "Backprop KF: Learning Discriminative Deterministic State Estimators"

50 / 106 papers shown

Title
LLM-Integrated Bayesian State Space Models for Multimodal Time-Series Forecasting Sungjun Cho Changho Shin Suenggwan Jo Xinya Yan Shourjo Aditya Chaudhuri Frederic Sala AI4TS 104 0 0 23 Oct 2025
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection SungHeon Jeong Jihong Park Mohsen Imani 371 0 0 05 May 2025
An End-to-End Learning-Based Multi-Sensor Fusion for Autonomous Vehicle LocalizationIEEE International Conference on Robotics and Automation (ICRA), 2025 Changhong Lin Jiarong Lin Zhiqiang Sui XiaoZhi Qu Rui Wang Kehua Sheng Bo Zhang 165 1 0 07 Mar 2025
DnD Filter: Differentiable State Estimation for Dynamic Systems using Diffusion Models Ziyu Wan Lin Zhao DiffM 374 0 0 03 Mar 2025
Learning dynamics models for velocity estimation in autonomous racingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024 Jan Węgrzynowski Grzegorz Czechmanowski Piotr Kicki Krzysztof Walas 184 5 0 28 Aug 2024
KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter Yifan Zhan Zhuoxiao Li Muyao Niu Zhihang Zhong S. Nobuhara Ko Nishino Yinqiang Zheng 187 9 0 18 Jul 2024
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty P. Becker Niklas Freymuth Gerhard Neumann Mamba 218 4 0 21 Jun 2024
Normalizing Flow-based Differentiable Particle Filters Xiongjie Chen Yunpeng Li 142 0 0 03 Mar 2024
Adaptive Kalman-Informed Transformer Nadav Cohen Itzik Klein 143 6 0 18 Jan 2024
Learning active tactile perception through belief-space controlIEEE International Conference on Robotics and Automation (ICRA), 2023 J. Tremblay David Meger F. Hogan Gregory Dudek 196 2 0 30 Nov 2023
Multimodal Learning of Soft Robot Dynamics using Differentiable Filters Xiao Liu Yifan Zhou Shuhei Ikemoto H. B. Amor 147 0 0 12 Nov 2023
Audio-Visual Speaker Tracking: Progress, Challenges, and Future Directions Jinzheng Zhao Yong-mei Xu Xinyuan Qian Davide Berghi Peipei Wu Meng Cui Jianyuan Sun Philip J. B. Jackson Wenwu Wang BDL 571 9 0 23 Oct 2023
Streaming Motion Forecasting for Autonomous DrivingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Ziqi Pang Deva Ramanan Mengtian Li Yu-Xiong Wang AI4TS 150 7 0 02 Oct 2023
Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman FilterIEEE International Conference on Robotics and Automation (ICRA), 2023 Hsu-kuang Chiu Chien-Yi Wang Min-Hung Chen Stephen F. Smith 118 22 0 26 Sep 2023
Learning Covariances for Estimation with Constrained Bilevel OptimizationIEEE International Conference on Robotics and Automation (ICRA), 2023 Mohamad Qadri Zachary Manchester Michael Kaess 213 7 0 18 Sep 2023
Learning Observation Models with Incremental Non-Differentiable Graph Optimizers in the Loop for Robotics State Estimation Mohamad Qadri Michael Kaess 178 4 0 05 Sep 2023
Deep Learning for Visual Localization and Mapping: A SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Changhao Chen Bing Wang Chris Xiaoxuan Lu Niki Trigoni Andrew Markham HAI 215 49 0 27 Aug 2023
Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman FiltersIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Xinyu Liu Geoffrey Clark Joseph Campbell Yifan Zhou H. B. Amor 172 11 0 19 Aug 2023
Learning Soft Robot Dynamics using Differentiable Kalman Filters and Spatio-Temporal EmbeddingsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Xinyu Liu Shuhei Ikemoto Yuhei Yoshimitsu H. B. Amor 158 10 0 19 Aug 2023
Push to know! -- Visuo-Tactile based Active Object Parameter Inference with Dual Differentiable FilteringIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023 Anirvan Dutta Etienne Burdet Mohsen Kaboli 159 12 0 02 Aug 2023
Efficient Dynamics Modeling in Interactive Environments with Koopman TheoryInternational Conference on Learning Representations (ICLR), 2023 Arnab Kumar Mondal Siba Smarak Panigrahi Sai Rajeswar K. Siddiqi Siamak Ravanbakhsh 229 8 0 20 Jun 2023
DNBP: Differentiable Nonparametric Belief PropagationACM / IMS Journal of Data Science (JIDS), 2023 Anthony Opipari Jana Pavlasek Chao Chen Shoutian Wang Karthik Desingh Odest Chadwicke Jenkins 214 3 0 08 Mar 2023
PVT++: A Simple End-to-End Latency-Aware Visual Tracking FrameworkIEEE International Conference on Computer Vision (ICCV), 2022 Bowen Li Ziyuan Huang Junjie Ye Yiming Li Sebastian Scherer Hang Zhao Changhong Fu 231 12 0 21 Nov 2022
Recurrent Neural Networks and Universal Approximation of Bayesian FiltersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 A. Bishop Edwin V. Bonilla BDL 229 4 0 01 Nov 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 174 10 0 17 Oct 2022
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural SystemsStructural Health Monitoring (SHM), 2022 Wen Liu Zhilu Lai Kiran Bacsa Eleni Chatzi 224 29 0 09 Oct 2022
Hidden Parameter Recurrent State Space Models For Changing Dynamics ScenariosInternational Conference on Learning Representations (ICLR), 2022 Vaisakh Shaj Le Chen Rohit Sonker P. Becker Gerhard Neumann 248 8 0 29 Jun 2022
"The World Is Its Own Best Model": Robust Real-World Manipulation Through Online Behavior SelectionIEEE International Conference on Robotics and Automation (ICRA), 2022 Manuel Baum Oliver Brock 126 3 0 09 May 2022
Learning Sequential Latent Variable Models from Multimodal Time Series DataAnnual Meeting of the IEEE Industry Applications Society (IAS Annual Meeting), 2022 Oliver Limoyo Trevor Ablett Jonathan Kelly 195 7 0 21 Apr 2022
Tactile Pose Estimation and Policy Learning for Unknown Object ManipulationAdaptive Agents and Multi-Agent Systems (AAMAS), 2022 Tarik Kelestemur Robert Platt T. Padır 198 36 0 21 Mar 2022
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing FlowEuropean Signal Processing Conference (EUSIPCO), 2022 Xiongjie Chen Yunpeng Li 147 8 0 16 Mar 2022
A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry Brandon Wagstaff Emmett Wise Jonathan Kelly 275 13 0 14 Mar 2022
Symbolic State Estimation with Predicates for Contact-Rich Manipulation TasksIEEE International Conference on Robotics and Automation (ICRA), 2022 Toki Migimatsu Wenzhao Lian Jeannette Bohg S. Schaal 179 11 0 04 Mar 2022
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection Luca Zancato Alessandro Achille G. Paolini A. Chiuso Stefano Soatto AI4TS 133 4 0 25 Feb 2022
CTIN: Robust Contextual Transformer Network for Inertial NavigationAAAI Conference on Artificial Intelligence (AAAI), 2021 Bingbing Rao Ehsan Kazemi Yifan Ding D. Shila F. M. Tucker Liqiang Wang 3DPC 206 57 0 03 Dec 2021
Learning to Assimilate in Chaotic Dynamical SystemsNeural Information Processing Systems (NeurIPS), 2021 Michael McCabe Jed Brown AI4TS 217 14 0 01 Nov 2021
Unsupervised Learned Kalman Filtering Guy Revach Stefano Rini Timur Locher Xiaoyong Ni Ruud J. G. van Sloun Yonina C. Eldar SSL 191 41 0 18 Oct 2021
Uncertainty in Data-Driven Kalman Filtering for Partially Known State-Space ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Itzik Klein Guy Revach Stefano Rini Jonas E. Mehr Ruud J. G. van Sloun Yonina C. Eldar 121 15 0 10 Oct 2021
$f$ -Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception Dhaivat Bhatt Kaustubh Mani Dishank Bansal Krishna Murthy Jatavallabhula Hanju Lee Liam Paull UQCV 185 6 0 28 Sep 2021
LEO: Learning Energy-based Models in Factor Graph OptimizationConference on Robot Learning (CoRL), 2021 Paloma Sodhi Eric Dexheimer Mustafa Mukadam Stuart Anderson Michael Kaess 367 18 0 04 Aug 2021
Self-Supervised Inference in State-Space ModelsInternational Conference on Learning Representations (ICLR), 2021 David Ruhe Patrick Forré BDL 344 7 0 28 Jul 2021
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known DynamicsIEEE Transactions on Signal Processing (IEEE TSP), 2021 Guy Revach Stefano Rini Xiaoyong Ni Adrià López Escoriza Ruud J. G. van Sloun Yonina C. Eldar 302 413 0 21 Jul 2021
Interpretable Deep Feature Propagation for Early Action Recognition He Zhao Richard P. Wildes FAtt 139 8 0 11 Jul 2021
Differentiable Particle Filters through Conditional Normalizing Flow Xiongjie Chen Hao Wen Yunpeng Li 258 26 0 01 Jul 2021
PILOT: Introducing Transformers for Probabilistic Sound Event LocalizationInterspeech (Interspeech), 2021 C. Schymura Benedikt T. Bönninghoff Tsubasa Ochiai Marc Delcroix K. Kinoshita Tomohiro Nakatani S. Araki D. Kolossa 155 28 0 07 Jun 2021
Differentiable Factor Graph Optimization for Learning SmoothersIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Brent Yi Michelle A. Lee Alina Kloss Roberto Martín-Martín Jeannette Bohg 228 32 0 18 May 2021
Differentiable SLAM-net: Learning Particle SLAM for Visual NavigationComputer Vision and Pattern Recognition (CVPR), 2021 Peter Karkus Shaojun Cai David Hsu 246 69 0 17 May 2021
Out-of-Distribution Robustness with Deep Recursive FiltersIEEE International Conference on Robotics and Automation (ICRA), 2021 Kapil D. Katyal I-J. Wang Gregory D. Hager UQCV 128 0 0 06 Apr 2021
Learning of Causal Observable Functions for Koopman-DFL Lifting Linearization of Nonlinear Controlled Systems and Its Application to Excavation AutomationIEEE Robotics and Automation Letters (RA-L), 2021 Nicholas Stearns S. M. I. H. Harry Asada 314 17 0 05 Apr 2021
Neural Motion Prediction for In-flight Uneven Object CatchingIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Hongxiang Yu Dashun Guo Huan Yin An-Jen Chen Kechun Xu Yue Wang R. Xiong 140 13 0 15 Mar 2021