Backprop KF: Learning Discriminative Deterministic State Estimators

23 May 2016

Pieter Abbeel

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

44 / 44 papers shown

Title
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection SungHeon Jeong Jihong Park Mohsen Imani 63 0 0 05 May 2025
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 45 7 0 23 Oct 2023
Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter Hsu-kuang Chiu Chien-Yi Wang Min-Hung Chen Stephen F. Smith 24 6 0 26 Sep 2023
PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework Bowen Li Ziyuan Huang Junjie Ye Yiming Li Sebastian Scherer Hang Zhao Changhong Fu 42 6 0 21 Nov 2022
Recurrent Neural Networks and Universal Approximation of Bayesian Filters A. Bishop Edwin V. Bonilla BDL 29 3 0 01 Nov 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 30 9 0 17 Oct 2022
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems Wen Liu Zhilu Lai Kiran Bacsa Eleni Chatzi 38 16 0 09 Oct 2022
"The World Is Its Own Best Model": Robust Real-World Manipulation Through Online Behavior Selection Manuel Baum Oliver Brock 13 3 0 09 May 2022
Conditional Measurement Density Estimation in Sequential Monte Carlo via Normalizing Flow Xiongjie Chen Yunpeng Li 21 6 0 16 Mar 2022
A Self-Supervised, Differentiable Kalman Filter for Uncertainty-Aware Visual-Inertial Odometry Brandon Wagstaff Emmett Wise Jonathan Kelly 32 12 0 14 Mar 2022
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection L. Zancato Alessandro Achille G. Paolini A. Chiuso Stefano Soatto AI4TS 22 1 0 25 Feb 2022
Learning to Assimilate in Chaotic Dynamical Systems Michael McCabe Jed Brown AI4TS 36 10 0 01 Nov 2021
Unsupervised Learned Kalman Filtering Guy Revach Nir Shlezinger Timur Locher Xiaoyong Ni Ruud J. G. van Sloun Yonina C. Eldar SSL 31 31 0 18 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 23 5 0 28 Sep 2021
LEO: Learning Energy-based Models in Factor Graph Optimization Paloma Sodhi Eric Dexheimer Mustafa Mukadam Stuart Anderson Michael Kaess 42 16 0 04 Aug 2021
KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics Guy Revach Nir Shlezinger Xiaoyong Ni Adrià López Escoriza Ruud J. G. van Sloun Yonina C. Eldar 31 266 0 21 Jul 2021
Differentiable Particle Filters through Conditional Normalizing Flow Xiongjie Chen Hao Wen Yunpeng Li 29 20 0 01 Jul 2021
PILOT: Introducing Transformers for Probabilistic Sound Event Localization C. Schymura Benedikt T. Bönninghoff Tsubasa Ochiai Marc Delcroix K. Kinoshita Tomohiro Nakatani S. Araki D. Kolossa 27 24 0 07 Jun 2021
Learning of Causal Observable Functions for Koopman-DFL Lifting Linearization of Nonlinear Controlled Systems and Its Application to Excavation Automation Nicholas Stearns S. M. I. H. Harry Asada 34 13 0 05 Apr 2021
Differentiable Nonparametric Belief Propagation Anthony Opipari Chao Chen Shoutian Wang Jana Pavlasek Karthik Desingh Odest Chadwicke Jenkins 14 5 0 15 Jan 2021
End-To-End Semi-supervised Learning for Differentiable Particle Filters Hao Wen Xiongjie Chen Georgios Papagiannis Conghui Hu Yunpeng Li 33 17 0 11 Nov 2020
Learning Bayes Filter Models for Tactile Localization Tarik Kelestemur Colin Keil J. P. Whitney Robert W. Platt T. Padır 11 5 0 11 Nov 2020
Multimodal Sensor Fusion with Differentiable Filters Michelle A. Lee Brent Yi Roberto Martín-Martín Silvio Savarese Jeannette Bohg 27 59 0 25 Oct 2020
TLIO: Tight Learned Inertial Odometry Wenxin Liu David Caruso Eddy Ilg Jing Dong Anastasios I. Mourikis Kostas Daniilidis Vijay Kumar Jakob Engel 28 168 0 06 Jul 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction Vincent Le Guen Nicolas Thome AI4CE PINN 93 289 0 03 Mar 2020
Self-Supervised Deep Pose Corrections for Robust Visual Odometry Brandon Wagstaff Valentin Peretroukhin Jonathan Kelly SSL 27 25 0 27 Feb 2020
TRADI: Tracking deep neural network weight distributions for uncertainty estimation Gianni Franchi Andrei Bursuc Emanuel Aldea Séverine Dubuisson Isabelle Bloch UQCV 26 51 0 24 Dec 2019
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 33 348 0 04 Nov 2019
Multivariate Uncertainty in Deep Learning Rebecca L. Russell Christopher P. Reale BDL UQCV 17 68 0 31 Oct 2019
Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation Brandon Wagstaff Valentin Peretroukhin Jonathan Kelly 19 64 0 01 Oct 2019
Particle Filter Recurrent Neural Networks Xiao Ma Peter Karkus David Hsu Wee Sun Lee 14 82 0 30 May 2019
Differentiable Algorithm Networks for Composable Robot Learning Peter Karkus Xiao Ma David Hsu L. Kaelbling Wee Sun Lee Tomas Lozano-Perez 19 70 0 28 May 2019
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces P. Becker Harit Pandya Gregor H. W. Gebhardt Cheng Zhao James Taylor Gerhard Neumann BDL 15 94 0 17 May 2019
Interaction-aware Kalman Neural Networks for Trajectory Prediction Ce Ju Zhendong Wang Cheng Long Xiaoyu Zhang D. Chang 24 53 0 28 Feb 2019
Stochastic Prediction of Multi-Agent Interactions from Partial Observations Chen Sun Per Karlsson Jiajun Wu J. Tenenbaum Kevin Patrick Murphy 33 89 0 25 Feb 2019
Socially Aware Kalman Neural Networks for Trajectory Prediction Ce Ju Zheng Wang Xiaoyu Zhang 33 8 0 14 Sep 2018
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors Rico Jonschkowski Divyam Rastogi Oliver Brock 32 135 0 28 May 2018
Particle Filter Networks with Application to Visual Localization Peter Karkus David Hsu Wee Sun Lee 3DPC 27 117 0 23 May 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
Global Pose Estimation with an Attention-based Recurrent Network Emilio Parisotto Devendra Singh Chaplot Jian Zhang Ruslan Salakhutdinov 26 70 0 19 Feb 2018
Predictive-State Decoders: Encoding the Future into Recurrent Networks Arun Venkatraman Nicholas Rhinehart Wen Sun Lerrel Pinto M. Hebert Byron Boots Kris Kitani J. Andrew Bagnell AI4CE 21 42 0 25 Sep 2017
Long Short-Term Memory Kalman Filters:Recurrent Neural Estimators for Pose Regularization Huseyin Coskun F. Achilles R. DiPietro Nassir Navab Federico Tombari 30 162 0 06 Aug 2017
Predictive State Recurrent Neural Networks Carlton Downey Ahmed S. Hefny Boyue Li Byron Boots Geoffrey J. Gordon AI4TS 28 55 0 25 May 2017
QMDP-Net: Deep Learning for Planning under Partial Observability Peter Karkus David Hsu Wee Sun Lee PINN 29 156 0 20 Mar 2017