Causal Discovery in Physical Systems from Videos

1 July 2020

Yunzhu Li

Antonio Torralba

Papers citing "Causal Discovery in Physical Systems from Videos"

47 / 47 papers shown

Title
A Distributional Treatment of Real2Sim2Real for Object-Centric Agent Adaptation in Vision-Driven Deformable Linear Object Manipulation Georgios Kamaras Subramanian Ramamoorthy 68 0 0 25 Feb 2025
InterDyn: Controllable Interactive Dynamics with Video Diffusion Models Rick Akkerman Haiwen Feng M. Black Dimitrios Tzionas Victoria Fernandez-Abrevaya VGen AI4CE 158 3 0 16 Dec 2024
BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Keyi Shen Jiangwei Yu Huan Zhang Yunzhu Li Yunzhu Li 132 1 0 12 Dec 2024
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 101 57 0 10 Oct 2023
Causal Discovery from Conditionally Stationary Time Series Carles Balsells-Rodas Ruibo Tu Tanmayee Narendra Yingzhen Li Gabriele Schweikert Hedvig Kjellström Yingzhen Li AI4TS BDL CML 108 6 0 12 Oct 2021
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning Lucas Manuelli Yunzhu Li Peter R. Florence Russ Tedrake SSL 57 102 0 10 Sep 2020
Visual Grounding of Learned Physical Models Yunzhu Li Toru Lin Kexin Yi Daniel M. Bear Daniel L. K. Yamins Jiajun Wu J. Tenenbaum Antonio Torralba OOD OCL AI4CE PINN 68 80 0 28 Apr 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 129 1,080 0 21 Feb 2020
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos Aysegül Dündar Kevin J. Shih Animesh Garg R. Pottorf Andrew Tao Bryan Catanzaro 29 34 0 26 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 354 42,299 0 03 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 108 1,349 0 03 Dec 2019
Learning Compositional Koopman Operators for Model-Based Control Yunzhu Li Hao He Jiajun Wu Dina Katabi Antonio Torralba 89 119 0 18 Oct 2019
CLEVRER: CoLlision Events for Video REpresentation and Reasoning Kexin Yi Yuta Saito Yunzhu Li Pushmeet Kohli Jiajun Wu Antonio Torralba J. Tenenbaum NAI 104 469 0 03 Oct 2019
Learning Neural Causal Models from Unknown Interventions Nan Rosemary Ke O. Bilaniuk Anirudh Goyal Stefan Bauer Hugo Larochelle Bernhard Schölkopf Michael C. Mozer C. Pal Yoshua Bengio CML OOD 91 168 0 02 Oct 2019
Recurrent Independent Mechanisms Anirudh Goyal Alex Lamb Jordan Hoffmann Shagun Sodhani Sergey Levine Yoshua Bengio Bernhard Schölkopf 76 337 0 24 Sep 2019
Compositional Video Prediction Yufei Ye Maneesh Singh Abhinav Gupta Shubham Tulsiani 50 85 0 22 Aug 2019
Unsupervised Learning of Object Keypoints for Perception and Control Tejas D. Kulkarni Ankush Gupta Catalin Ionescu Sebastian Borgeaud Malcolm Reynolds Andrew Zisserman Volodymyr Mnih SSL OCL 42 195 0 19 Jun 2019
kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation Lucas Manuelli Wei Gao Peter R. Florence Russ Tedrake 95 254 0 15 Mar 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation Manoj Kumar Mohammad Babaeizadeh D. Erhan Chelsea Finn Sergey Levine Laurent Dinh Durk Kingma VGen 78 132 0 04 Mar 2019
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 84 1,430 0 12 Nov 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 67 397 0 03 Oct 2018
Propagation Networks for Model-Based Control Under Partial Observation Yunzhu Li Jiajun Wu Jun-Yan Zhu J. Tenenbaum Antonio Torralba Russ Tedrake AI4CE 46 137 0 28 Sep 2018
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning Supasorn Suwajanakorn Noah Snavely Jonathan Tompson Mohammad Norouzi 3DPC 3DV 60 246 0 05 Jul 2018
Flexible Neural Representation for Physics Prediction Damian Mrowca Chengxu Zhuang E. Wang Nick Haber Li Fei-Fei J. Tenenbaum Daniel L. K. Yamins OCL AI4CE 56 249 0 21 Jun 2018
Unsupervised Learning of Object Landmarks through Conditional Image Generation Tomas Jakab Ankush Gupta Hakan Bilen Andrea Vedaldi SSL 71 253 0 20 Jun 2018
Learning to Decompose and Disentangle Representations for Video Prediction Jun-Ting Hsieh Bingbin Liu De-An Huang Li Fei-Fei Juan Carlos Niebles DRL 171 306 0 11 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 584 3,112 0 04 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 170 598 0 04 Jun 2018
Unsupervised Discovery of Object Landmarks as Structural Representations Y. Zhang Yijie Guo Yixin Jin Yijun Luo Zhiyuan He Honglak Lee OCL 64 194 0 12 Apr 2018
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs Diviyan Kalainathan Olivier Goudet Isabelle M Guyon David Lopez-Paz Michèle Sebag CML 49 94 0 13 Mar 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric Xing NoLa CML OffRL 79 937 0 04 Mar 2018
Causal Generative Neural Networks Olivier Goudet Diviyan Kalainathan Philippe Caillou Isabelle M Guyon David Lopez-Paz Michèle Sebag BDL CML DRL 51 59 0 24 Nov 2017
Budgeted Experiment Design for Causal Structure Learning AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash Elias Bareinboim CML 84 64 0 11 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 624 130,942 0 12 Jun 2017
Causal Discovery in the Presence of Measurement Error: Identifiability Conditions Kun Zhang Biwei Huang Joseph Ramsey Kayhan Batmanghelich Peter Spirtes Clark Glymour CML 44 30 0 10 Jun 2017
Visual Interaction Networks Nicholas Watters Andrea Tacchetti T. Weber Razvan Pascanu Peter W. Battaglia Daniel Zoran PINN 3DH 84 278 0 05 Jun 2017
A simple neural network module for relational reasoning Adam Santoro David Raposo David Barrett Mateusz Malinowski Razvan Pascanu Peter W. Battaglia Timothy Lillicrap GNN NAI 150 1,612 0 05 Jun 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 502 1,407 0 01 Dec 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 277 5,360 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 153 2,529 0 02 Nov 2016
Learning Causal Graphs with Small Interventions Karthikeyan Shanmugam Murat Kocaoglu A. Dimakis S. Vishwanath CML 94 106 0 30 Oct 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 60 844 0 24 Jun 2015
backShift: Learning causal cyclic graphs from unknown shift interventions Dominik Rothenhäusler C. Heinze J. Peters N. Meinshausen OOD 55 71 0 08 Jun 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 114 966 0 06 Jan 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 412 16,947 0 20 Dec 2013
On the Identifiability of the Post-Nonlinear Causal Model Kun Zhang Aapo Hyvarinen CML 169 564 0 09 May 2012