Gradients are Not All You Need

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Gradients are Not All You Need

10 November 2021

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Papers citing "Gradients are Not All You Need"

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Title
Latent Neural ODEs with Sparse Bayesian Multiple Shooting V. Iakovlev Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL 72 11 0 07 Oct 2022
Training Efficient Controllers via Analytic Policy Gradient Nina Wiedemann Valentin Wüest Antonio Loquercio M. Müller Dario Floreano Davide Scaramuzza OffRL 77 20 0 26 Sep 2022
Learning to Learn with Generative Models of Neural Network Checkpoints William S. Peebles Ilija Radosavovic Tim Brooks Alexei A. Efros Jitendra Malik UQCV 156 69 0 26 Sep 2022
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective Raj Ghugare Homanga Bharadhwaj Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 106 27 0 18 Sep 2022
Learning Pair Potentials using Differentiable Simulations Wujie Wang Zhenghao Wu Rafael Gómez-Bombarelli 86 26 0 16 Sep 2022
Differentiable Programming for Earth System Modeling Maximilian Gelbrecht Alistair J R White S. Bathiany Niklas Boers 91 19 0 29 Aug 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members Daphne Cornelisse Thomas Rood Mateusz Malinowski Yoram Bachrach Tal Kachman 58 10 0 18 Aug 2022
Flow Annealed Importance Sampling Bootstrap Laurence Illing Midgley Vincent Stimper G. Simm Bernhard Schölkopf José Miguel Hernández-Lobato 136 95 0 03 Aug 2022
Differentiable Dynamics for Articulated 3d Human Motion Reconstruction Erik Gartner Mykhaylo Andriluka Erwin Coumans C. Sminchisescu 3DH 116 41 0 24 May 2022
Training neural networks using Metropolis Monte Carlo and an adaptive variant S. Whitelam V. Selin Ian Benlolo Corneel Casert Isaac Tamblyn BDL 48 9 0 16 May 2022
Leveraging Reward Gradients For Reinforcement Learning in Differentiable Physics Simulations Sean Gillen Katie Byl AI4CE 77 3 0 06 Mar 2022
Forecasting Global Weather with Graph Neural Networks R. Keisler AI4Cl 127 173 0 15 Feb 2022
Reverse Back Propagation to Make Full Use of Derivative Weiming Xiong Ruoyu Yang 43 0 0 13 Feb 2022
EvoJAX: Hardware-Accelerated Neuroevolution Yujin Tang Yingtao Tian David R Ha 111 42 0 10 Feb 2022
Do Differentiable Simulators Give Better Policy Gradients? H.J. Terry Suh Max Simchowitz Kai Zhang Russ Tedrake 84 101 0 02 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 177 48 0 01 Feb 2022
Analytically Integratable Zero-restlength Springs for Capturing Dynamic Modes unrepresented by Quasistatic Neural Networks Yongxu Jin Yushan Han Z. Geng Joseph Teran Ronald Fedkiw 58 7 0 25 Jan 2022
Input Convex Gradient Networks Jack Richter-Powell Jonathan Lorraine Brandon Amos 74 15 0 23 Nov 2021