Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors

28 May 2018

Papers citing "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"

42 / 92 papers shown

Title
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter Hanbo Zhang Yunfan Lu Cunjun Yu David Hsu Xuguang Lan Nanning Zheng LM&Ro 21 63 0 25 Aug 2021
LEO: Learning Energy-based Models in Factor Graph Optimization Paloma Sodhi Eric Dexheimer Mustafa Mukadam Stuart Anderson Michael Kaess 37 16 0 04 Aug 2021
Differentiable Particle Filters through Conditional Normalizing Flow Xiongjie Chen Hao Wen Yunpeng Li 23 20 0 01 Jul 2021
Differentiable Particle Filtering without Modifying the Forward Pass Adam Scibior Frank D. Wood 25 19 0 18 Jun 2021
NeRF in detail: Learning to sample for view synthesis Relja Arandjelović Andrew Zisserman 29 41 0 09 Jun 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 25 24 0 07 Jun 2021
Unbiased Asymmetric Reinforcement Learning under Partial Observability Andrea Baisero Chris Amato OffRL 14 19 0 25 May 2021
Differentiable Factor Graph Optimization for Learning Smoothers Brent Yi Michelle A. Lee Alina Kloss Roberto Martín-Martín Jeannette Bohg 11 28 0 18 May 2021
Differentiable SLAM-net: Learning Particle SLAM for Visual Navigation Peter Karkus Shaojun Cai David Hsu 14 65 0 17 May 2021
SIDE: State Inference for Partially Observable Cooperative Multi-Agent Reinforcement Learning Zhiwei Xu Yunru Bai Dapeng Li Bin Zhang Guoliang Fan 17 9 0 13 May 2021
Out-of-Distribution Robustness with Deep Recursive Filters Kapil D. Katyal I-J. Wang Gregory D. Hager UQCV 15 0 0 06 Apr 2021
Neural Motion Prediction for In-flight Uneven Object Catching Hongxiang Yu Dashun Guo Huan Yin An-Jen Chen Kechun Xu Yue Wang R. Xiong 13 10 0 15 Mar 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 41 66 0 15 Feb 2021
Differentiable Nonparametric Belief Propagation Anthony Opipari Chao Chen Shoutian Wang Jana Pavlasek Karthik Desingh Odest Chadwicke Jenkins 14 5 0 15 Jan 2021
How to Train Your Differentiable Filter Alina Kloss Georg Martius Jeannette Bohg 36 46 0 28 Dec 2020
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 6 5 0 11 Nov 2020
Multimodal Sensor Fusion with Differentiable Filters Michelle A. Lee Brent Yi Roberto Martín-Martín Silvio Savarese Jeannette Bohg 16 59 0 25 Oct 2020
A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence Changhao Chen B. Wang Chris Xiaoxuan Lu A. Trigoni Andrew Markham 19 134 0 22 Jun 2020
When is Particle Filtering Efficient for Planning in Partially Observed Linear Dynamical Systems? S. Du Wei Hu Zhiyuan Li Ruoqi Shen Zhao-quan Song Jiajun Wu 30 1 0 10 Jun 2020
Differentiable Mapping Networks: Learning Structured Map Representations for Sparse Visual Localization Peter Karkus A. Angelova Vincent Vanhoucke Rico Jonschkowski 17 11 0 19 May 2020
Towards Differentiable Resampling Michael Zhu Kevin Patrick Murphy Rico Jonschkowski 9 27 0 24 Apr 2020
End-to-End Velocity Estimation For Autonomous Racing S. Srinivasan Inkyu Sa Alex Zyner Victor Reijgwart M. I. Valls Roland Siegwart 4 29 0 15 Mar 2020
GLAS: Global-to-Local Safe Autonomy Synthesis for Multi-Robot Motion Planning with End-to-End Learning Benjamin Rivière Wolfgang Hoenig Yisong Yue Soon-Jo Chung 11 91 0 26 Feb 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations Xiao Ma Peter Karkus David Hsu W. Lee N. Ye OffRL 9 42 0 23 Feb 2020
Learning Task-Driven Control Policies via Information Bottlenecks Vincent Pacelli Anirudha Majumdar 9 25 0 04 Feb 2020
Multivariate Uncertainty in Deep Learning Rebecca L. Russell Christopher P. Reale BDL UQCV 17 68 0 31 Oct 2019
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs Yunbo Wang Bo Liu Jiajun Wu Yuke Zhu Simon S. Du Fei-Fei Li Joshua B. Tenenbaum 9 6 0 28 Sep 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 21 54 0 27 Sep 2019
Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor Masashi Okada Shinji Takenaka T. Taniguchi 20 4 0 16 Sep 2019
DynaNet: Neural Kalman Dynamical Model for Motion Estimation and Prediction Changhao Chen Chris Xiaoxuan Lu Bing Wang A. Trigoni Andrew Markham BDL 9 52 0 11 Aug 2019
Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM Hyeonwoo Yu DRL 19 0 0 23 Jul 2019
Structured Variational Inference in Unstable Gaussian Process State Space Models Silvan Melchior Sebastian Curi Felix Berkenkamp Andreas Krause 17 4 0 16 Jul 2019
Chasing Ghosts: Instruction Following as Bayesian State Tracking Peter Anderson Ayush Shrivastava Devi Parikh Dhruv Batra Stefan Lee 22 72 0 03 Jul 2019
Particle Filter Recurrent Neural Networks Xiao Ma Peter Karkus David Hsu Wee Sun Lee 9 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 14 70 0 28 May 2019
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks Kuan Fang Alexander Toshev Li Fei-Fei Silvio Savarese OffRL 11 199 0 09 Mar 2019
Deep Active Localization S. Gottipati K. Seo Dhaivat Bhatt Vincent Mai Krishna Murthy Jatavallabhula Liam Paull 8 37 0 05 Mar 2019
Benchmarking Classic and Learned Navigation in Complex 3D Environments Dmytro Mishkin Alexey Dosovitskiy V. Koltun 26 75 0 30 Jan 2019
Joint Mapping and Calibration via Differentiable Sensor Fusion Jonathan P. Chen F. Obermeyer V. Lyapunov L. Gueguen Noah D. Goodman 16 0 0 21 Nov 2018
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation Peter Karkus David Hsu Wee Sun Lee 14 10 0 17 Jul 2018
Particle Filter Networks with Application to Visual Localization Peter Karkus David Hsu Wee Sun Lee 3DPC 14 117 0 23 May 2018