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Causal Navigation by Continuous-time Neural Networks

15 June 2021

Ramin Hasani

Daniela Rus

Papers citing "Causal Navigation by Continuous-time Neural Networks"

50 / 55 papers shown

Title
Trajectory Flow Matching with Applications to Clinical Time Series Modeling Xi Zhang Yuan Pu Yuki Kawamura Andrew Loza Yoshua Bengio Dennis L. Shung Alexander Tong OOD AI4TS MedIm 89 7 0 28 Oct 2024
GoTube: Scalable Stochastic Verification of Continuous-Depth Models Sophie Gruenbacher Mathias Lechner Ramin Hasani Daniela Rus T. Henzinger S. Smolka Radu Grosu 44 17 0 18 Jul 2021
Sparse Flows: Pruning Continuous-depth Models Lucas Liebenwein Ramin Hasani Alexander Amini Daniela Rus 63 17 0 24 Jun 2021
Adversarial Training is Not Ready for Robot Learning Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 59 34 0 15 Mar 2021
On The Verification of Neural ODEs with Stochastic Guarantees Sophie Gruenbacher Ramin Hasani Mathias Lechner J. Cyranka S. Smolka Radu Grosu 89 33 0 16 Dec 2020
Fighting Copycat Agents in Behavioral Cloning from Observation Histories Chuan Wen Jierui Lin Trevor Darrell Dinesh Jayaraman Yang Gao 51 59 0 28 Oct 2020
Learning Quadrupedal Locomotion over Challenging Terrain Joonho Lee Jemin Hwangbo Lorenz Wellhausen V. Koltun Marco Hutter 139 1,171 0 21 Oct 2020
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies T. Konstantin Rusch Siddhartha Mishra 117 93 0 02 Oct 2020
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? Angelos Filos P. Tigas R. McAllister Nicholas Rhinehart Sergey Levine Y. Gal 63 187 0 26 Jun 2020
Lipschitz Recurrent Neural Networks N. Benjamin Erichson Omri Azencot A. Queiruga Liam Hodgkinson Michael W. Mahoney 67 111 0 22 Jun 2020
Deep Drone Acrobatics Elia Kaufmann Antonio Loquercio René Ranftl Matthias Muller V. Koltun Davide Scaramuzza 58 150 0 10 Jun 2020
Liquid Time-constant Networks Ramin Hasani Mathias Lechner Alexander Amini Daniela Rus Radu Grosu AI4TS AI4CE 52 221 0 08 Jun 2020
Learning Long-Term Dependencies in Irregularly-Sampled Time Series Mathias Lechner Ramin Hasani AI4TS 51 129 0 08 Jun 2020
Neural Topological SLAM for Visual Navigation Devendra Singh Chaplot Ruslan Salakhutdinov Abhinav Gupta Saurabh Gupta 107 295 0 25 May 2020
Learning to Explore using Active Neural SLAM Devendra Singh Chaplot Dhiraj Gandhi Saurabh Gupta Abhinav Gupta Ruslan Salakhutdinov 62 514 0 10 Apr 2020
AirSim Drone Racing Lab Ratnesh Madaan N. Gyde Sai H. Vemprala Matthew Brown Keiko Nagami Tim Taubner E. Cristofalo Davide Scaramuzza Mac Schwager Ashish Kapoor 51 75 0 12 Mar 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 175 120 0 06 Mar 2020
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values S. Weichwald M. E. Jakobsen Phillip B. Mogensen Lasse Petersen Nikolaj Thams Gherardo Varando CML AI4TS 89 27 0 21 Feb 2020
Dissecting Neural ODEs Stefano Massaroli Michael Poli Jinkyoo Park Atsushi Yamashita Hajime Asama 96 203 0 19 Feb 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 51 340 0 14 Feb 2020
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 75 189 0 21 Jan 2020
Learning by Cheating Dian Chen Brady Zhou V. Koltun Philipp Krahenbuhl SSL 104 515 0 27 Dec 2019
Causality for Machine Learning Bernhard Schölkopf CML AI4CE LRM 96 463 0 24 Nov 2019
On Robustness of Neural Ordinary Differential Equations Hanshu Yan Jiawei Du Vincent Y. F. Tan Jiashi Feng OOD 82 141 0 12 Oct 2019
Latent ODEs for Irregularly-Sampled Time Series Yulia Rubanova Ricky T. Q. Chen David Duvenaud BDL AI4TS 84 257 0 08 Jul 2019
SNODE: Spectral Discretization of Neural ODEs for System Identification A. Quaglino Marco Gallieri Jonathan Masci Jan Koutník AI4TS 76 48 0 17 Jun 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 178 775 0 10 Jun 2019
Adversarial Imitation Learning from Incomplete Demonstrations Mingfei Sun Xiaojuan Ma 55 29 0 29 May 2019
Neural Jump Stochastic Differential Equations Junteng Jia Austin R. Benson BDL 65 227 0 24 May 2019
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 150 628 0 02 Apr 2019
Learning Exploration Policies for Navigation Tao Chen Saurabh Gupta Abhinav Gupta EgoV 78 238 0 05 Mar 2019
ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs A. Gholami Kurt Keutzer George Biros 100 170 0 27 Feb 2019
Imitation Learning from Imperfect Demonstration Yueh-hua Wu Nontawat Charoenphakdee Han Bao Voot Tangkaratt Masashi Sugiyama 47 161 0 27 Jan 2019
One-Shot Hierarchical Imitation Learning of Compound Visuomotor Tasks Tianhe Yu Pieter Abbeel Sergey Levine Chelsea Finn 61 68 0 25 Oct 2018
Deep Imitative Models for Flexible Inference, Planning, and Control Nicholas Rhinehart R. McAllister Sergey Levine 68 148 0 15 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 150 873 0 02 Oct 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 417 5,111 0 19 Jun 2018
Conditional Affordance Learning for Driving in Urban Environments Axel Sauer Nikolay Savinov Andreas Geiger 48 186 0 18 Jun 2018
Visual Representations for Semantic Target Driven Navigation Arsalan Mousavian Alexander Toshev Marek Fiser Jana Kosecka Ayzaan Wahid James Davidson 64 201 0 15 May 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 95 4,815 0 04 Mar 2018
Semi-parametric Topological Memory for Navigation Nikolay Savinov Alexey Dosovitskiy V. Koltun 70 383 0 01 Mar 2018
Unifying Map and Landmark Based Representations for Visual Navigation Saurabh Gupta David Fouhey Sergey Levine Jitendra Malik 76 76 0 21 Dec 2017
Discrete Event, Continuous Time RNNs Michael C. Mozer Denis Kazakov Robert V. Lindsey 53 55 0 11 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
One-Shot Imitation Learning Yan Duan Marcin Andrychowicz Bradly C. Stadie Jonathan Ho Jonas Schneider Ilya Sutskever Pieter Abbeel Wojciech Zaremba OffRL 82 688 0 21 Mar 2017
Cognitive Mapping and Planning for Visual Navigation Saurabh Gupta Varun Tolani James Davidson Sergey Levine Rahul Sukthankar Jitendra Malik 86 714 0 13 Feb 2017
From Deterministic ODEs to Dynamic Structural Causal Models Paul Kishan Rubenstein Stephan Bongers Bernhard Schölkopf Joris M. Mooij 73 54 0 29 Aug 2016
On the Expressive Power of Deep Neural Networks M. Raghu Ben Poole Jon M. Kleinberg Surya Ganguli Jascha Narain Sohl-Dickstein 61 788 0 16 Jun 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 149 3,115 0 10 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014