Differentiable Implicit Soft-Body Physics

Invertible finite elements for robust simulation of large deformation

Irving, G., Teran, J., and Fedkiw, R · 2004

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Automatic determination of facial muscle activations from sparse motion capture marker data

Sifakis, E., Neverov, I., and Fedkiw, R · 2005

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A tutorial on energy-based learning

LeCun, Y., Chopra, S., Hadsell, R., Huang, F. J., and et al · 2006

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Example-based elastic materials

Martin, S., Thomaszewski, B., Grinspun, E., and Gross, M · 2011

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FEM simulation of 3D deformable solids: A practitioner’s guide to theory, discretization and model reduction

Sifakis, E. and Barbič, J · 2012

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Optimization integrator for large time steps

Gast, T. F. and Schroeder, C · 2015

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Adam: A method for stochastic optimization

Kingma, D. P. and Ba, J · 2015

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Descent methods for elastic body simulation on the gpu

Wang, H. and Yang, Y · 2016

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OptNet: Differentiable optimization as a layer in neural networks

Amos, B. and Kolter, J. Z · 2017

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Fabrication, modeling, and control of plush robots

Bern, J., Kumagai, G., and Coros, S · 2017

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Quasi-Newton methods for real-time simulation of hyperelastic materials

Liu, T., Bouaziz, S., and Kavan, L · 2017

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Dynamic routing between capsules

Sabour, S., Frosst, N., and Hinton, G. E · 2017

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Proximal policy optimization algorithms

Original

Schulman, J., Wolski, F., Dhariwal, P., Radford, A., and Klimov, O · 2017

Cited alongside, same era.

Neural ordinary differential equations

Chen, R. T. Q., Rubanova, Y., Bettencourt, J., and Duvenaud, D. K · 2018

Differentiable convex optimization layers

Agrawal, A., Amos, B., Barratt, S., Boyd, S., Diamond, S., and Kolter, Z · 2019

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Deep equilibrium models

Bai, S., Kolter, J. Z., and Koltun, V · 2019

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Trajectory optimization for cable-driven soft robot locomotion

Bern, J. M., Banzet, P., Poranne, R., and Coros, S · 2019

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A differentiable physics engine for deep learning in robotics

Degrave, J., Hermans, M., Dambre, J., and wyffels, F · 2019

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ChainQueen: A real-time differentiable physical simulator for soft robotics

Hu, Y., Liu, J., Spielberg, A., Tenenbaum, J. B., Freeman, W. T., Wu, J., Rus, D., and Matusik, W · 2019

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PyTorch: An imperative style, high-performance deep learning library

Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Kopf, A., Yang, E., DeVito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., Bai, J., and Chintala, S · 2019