DiffTaichi: Differentiable Programming for Physical Simulation

1 October 2019

Jonathan Ragan-Kelley

F. Durand

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Papers citing "DiffTaichi: Differentiable Programming for Physical Simulation"

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Title
Leveraging Reward Gradients For Reinforcement Learning in Differentiable Physics Simulations Sean Gillen Katie Byl AI4CE 23 3 0 06 Mar 2022
Dojo: A Differentiable Physics Engine for Robotics Taylor A. Howell Simon Le Cleac'h Jan Brüdigam J. Zico Kolter Mac Schwager Zachary Manchester 27 34 0 02 Mar 2022
Differentiable Robotic Manipulation of Deformable Rope-like Objects Using Compliant Position-based Dynamics Fei Liu Entong Su Jingpei Lu Ming Li Michael C. Yip AI4CE 21 8 0 20 Feb 2022
AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems Ying Zhou Xiang Chen Peng Zhang Jun Wang Lei Wang Hongfeng Guo 29 1 0 10 Feb 2022
Do Differentiable Simulators Give Better Policy Gradients? H. Suh Max Simchowitz Kaipeng Zhang Russ Tedrake 32 95 0 02 Feb 2022
Sim-to-Real for Soft Robots using Differentiable FEM: Recipes for Meshing, Damping, and Actuation Mathieu Dubied M. Michelis Andrew Spielberg Robert K. Katzschmann AI4CE 11 33 0 29 Jan 2022
Learning to Simulate Unseen Physical Systems with Graph Neural Networks Ce Yang Weihao Gao Di Wu Chong-Jun Wang PINN AI4CE 30 4 0 28 Jan 2022
Parameter Identification and Motion Control for Articulated Rigid Body Robots Using Differentiable Position-based Dynamics Fei Liu Ming Li Jingpei Lu Entong Su Michael C. Yip AI4CE 27 6 0 15 Jan 2022
Integrating Material Selection with Design Optimization via Neural Networks A. Chandrasekhar S. Sridhara K. Suresh AI4CE 19 6 0 23 Dec 2021
DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes Michael Strecke Joerg Stueckler AI4CE 24 18 0 30 Nov 2021
Advances in Neural Rendering A. Tewari Justus Thies B. Mildenhall P. Srinivasan E. Tretschk ... S. Fanello Jun Zhu Gordon Wetzstein Michael Zollhoefer D. B. Goldman 3DH AI4CE 59 445 0 10 Nov 2021
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language Mingyu Ding Zhenfang Chen Tao Du Ping Luo J. Tenenbaum Chuang Gan VGen PINN OCL 30 74 0 28 Oct 2021
A Differentiable Newton-Euler Algorithm for Real-World Robotics M. Lutter Vallijah Subasri Joe Watson Frank Rudzicz 24 7 0 24 Oct 2021
Guiding Evolutionary Strategies by Differentiable Robot Simulators Vladislav Kurenkov Bulat Maksudov 29 2 0 01 Oct 2021
Model reduction for the material point method via an implicit neural representation of the deformation map Julius Berner Maurizio M. Chiaramonte E. Grinspun Kevin Carlberg 29 15 0 25 Sep 2021
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation Eric Heiden Chris Denniston David Millard Fabio Ramos Gaurav Sukhatme 27 21 0 18 Sep 2021
GRiD: GPU-Accelerated Rigid Body Dynamics with Analytical Gradients Brian Plancher Sabrina M. Neuman Radhika Ghosal S. Kuindersma Vijay Janapa Reddi AI4CE PINN 45 15 0 14 Sep 2021
A good body is all you need: avoiding catastrophic interference via agent architecture search Joshua P. Powers Ryan Grindle Lapo Frati Josh Bongard 17 1 0 18 Aug 2021
An End-to-End Differentiable Framework for Contact-Aware Robot Design Jie Xu Tao Chen Lara Zlokapa Michael Foshey Wojciech Matusik Shinjiro Sueda Pulkit Agrawal 27 88 0 15 Jul 2021
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation C. Freeman Erik Frey Anton Raichuk Sertan Girgin Igor Mordatch Olivier Bachem 48 350 0 24 Jun 2021
Tactile Sim-to-Real Policy Transfer via Real-to-Sim Image Translation Alex Church John Lloyd R. Hadsell Nathan Lepora 35 50 0 16 Jun 2021
DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact Yifei Li Tao Du Kui Wu Jie Xu Wojciech Matusik 33 90 0 09 Jun 2021
Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting Stephan Thaler Julija Zavadlav 22 66 0 02 Jun 2021
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting Eric Heiden Miles Macklin Yashraj S. Narang Dieter Fox Animesh Garg Fabio Ramos 20 92 0 25 May 2021
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty 52 34 0 12 Feb 2021
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning M. Lutter Johannes Silberbauer Joe Watson Jan Peters OffRL 29 33 0 03 Nov 2020
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients William S. Moses Valentin Churavy 16 83 0 04 Oct 2020
Lagrangian Neural Style Transfer for Fluids Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 28 37 0 02 May 2020
A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines Kun Wang Mridul Aanjaneya Kostas Bekris PINN 10 21 0 28 Apr 2020
Differentiable Molecular Simulations for Control and Learning Wujie Wang Simon Axelrod Rafael Gómez-Bombarelli AI4CE 109 49 0 27 Feb 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 51 1,050 0 21 Feb 2020
The Surprising Effectiveness of Linear Models for Visual Foresight in Object Pile Manipulation H. Suh Russ Tedrake 21 60 0 21 Feb 2020
Deep Differentiable Grasp Planner for High-DOF Grippers Min Liu Zherong Pan Kai Xu Kanishka Ganguly Tianyi Zhou 31 72 0 04 Feb 2020
Declarative Learning-Based Programming as an Interface to AI Systems Parisa Kordjamshidi Dan Roth Kristian Kersting 22 4 0 18 Jun 2019
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck Dieter Fox PINN 3DPC AI4CE 180 161 0 15 Jun 2018
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 438 0 01 Dec 2016
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 280 1,401 0 01 Dec 2016