OptNet: Differentiable Optimization as a Layer in Neural Networks

1 March 2017

J. Zico Kolter

Papers citing "OptNet: Differentiable Optimization as a Layer in Neural Networks"

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Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time Ferran Alet Maria Bauza Kenji Kawaguchi Nurullah Giray Kuru Tomas Lozano-Perez L. Kaelbling AI4CE 115 16 0 22 Sep 2020
Learning to Identify Physical Parameters from Video Using Differentiable Physics Rama Krishna Kandukuri Jan Achterhold Michael Möller J. Stückler SSL 54 14 0 17 Sep 2020
Meta Learning for Few-Shot One-class Classification Gabriel Dahia Maurício Pamplona Segundo VLM 97 4 0 11 Sep 2020
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs M. Pereira Ziyi Wang Ioannis Exarchos Evangelos A. Theodorou 66 38 0 02 Sep 2020
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers Philipp Geiger C. Straehle AI4CE 100 26 0 17 Aug 2020
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization Dylan Campbell Liu Liu Stephen Gould 3DV 3DPC 101 60 0 29 Jul 2020
MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation István Sárándi Timm Linder Kai O. Arras Bastian Leibe 3DH 62 84 0 12 Jul 2020
Few-Shot One-Class Classification via Meta-Learning A. Frikha Denis Krompass Hans-Georg Koepken Volker Tresp 96 57 0 08 Jul 2020
Scalable Differentiable Physics for Learning and Control Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin PINN AI4CE 98 120 0 04 Jul 2020
Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning Hui Xie Zhe Pan Leixin Zhou F. Zaman Benlin Liu J. Jonas Yaxing Wang Xiaodong Wu OOD 42 3 0 02 Jul 2020
ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact Moritz Geilinger D. Hahn Jonas Zehnder M. Bacher B. Thomaszewski Stelian Coros AI4CE 63 41 0 02 Jul 2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers Kiwon Um R. Brand Yun Fei Fei Philipp Holl N. Thürey AI4CE 99 275 0 30 Jun 2020
On the Iteration Complexity of Hypergradient Computation Riccardo Grazzi Luca Franceschi Massimiliano Pontil Saverio Salzo 122 197 0 29 Jun 2020
VPNet: Variable Projection Networks P. Kovács Gergő Bognár Christian Huber M. Huemer 53 28 0 28 Jun 2020
Understanding Deep Architectures with Reasoning Layer Xinshi Chen Yufei Zhang C. Reisinger Le Song AI4CE 127 7 0 24 Jun 2020
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control Ioannis Exarchos M. Pereira Ziyi Wang Evangelos A. Theodorou 62 4 0 22 Jun 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems Kai Wang Bryan Wilder Andrew Perrault Milind Tambe 78 29 0 18 Jun 2020
A Shooting Formulation of Deep Learning François-Xavier Vialard Roland Kwitt Susan Wei Marc Niethammer 47 13 0 18 Jun 2020
Learning Linear Programs from Optimal Decisions Yingcong Tan Daria Terekhov Andrew Delong 90 30 0 16 Jun 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 96 212 0 15 Jun 2020
Monotone operator equilibrium networks Ezra Winston J. Zico Kolter 86 130 0 15 Jun 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 104 88 0 15 Jun 2020
Proximal Mapping for Deep Regularization Mao Li Yingyi Ma Xinhua Zhang 47 3 0 14 Jun 2020
Bayesian Experience Reuse for Learning from Multiple Demonstrators Michael Gimelfarb Scott Sanner Chi-Guhn Lee 33 0 0 10 Jun 2020
Learning Convex Optimization Models Akshay Agrawal Shane T. Barratt Stephen P. Boyd 70 42 0 07 Jun 2020
Distributionally Robust Weighted $k$ -Nearest Neighbors Shixiang Zhu Liyan Xie Minghe Zhang Rui Gao Yao Xie OOD 95 7 0 07 Jun 2020
Learning and Optimization of Blackbox Combinatorial Solvers in Neural Networks T. J. Wilder 27 0 0 06 Jun 2020
Differentiable Greedy Submodular Maximization: Guarantees, Gradient Estimators, and Applications Shinsaku Sakaue 35 0 0 06 May 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 87 5 0 30 Apr 2020
Variational Policy Propagation for Multi-agent Reinforcement Learning Chao Qu Hui Li Chang-rui Liu Junwu Xiong James Y. Zhang Wei Chu Weiqiang Wang Yuan Qi L. Song 55 0 0 19 Apr 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow Zachary Teed Jia Deng MDE 540 2,658 0 26 Mar 2020
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers Michal Rolínek Paul Swoboda Dominik Zietlow Anselm Paulus Vít Musil Georg Martius 90 113 0 25 Mar 2020
Hybrid Classification and Reasoning for Image-based Constraint Solving Maxime Mulamba Jayanta Mandi Rocsildes Canoy Tias Guns 75 11 0 24 Mar 2020
Sample-Specific Output Constraints for Neural Networks Mathis Brosowsky Olaf Dünkel Daniel Slieter Marius Zöllner AILaw PINN 66 10 0 23 Mar 2020
Safe Reinforcement Learning of Control-Affine Systems with Vertex Networks Liyuan Zheng Yuanyuan Shi Lillian J. Ratliff Baosen Zhang 52 20 0 20 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning Chi Zhang Yujun Cai Guosheng Lin Chunhua Shen VLM 99 119 0 15 Mar 2020
Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under Uncertainty Jung-Su Ha Danny Driess Marc Toussaint 42 19 0 09 Mar 2020
Implicitly Defined Layers in Neural Networks Qianggong Zhang Yanyang Gu Mateusz Michalkiewicz Mahsa Baktash Anders P. Eriksson AI4CE 65 12 0 03 Mar 2020
Differentiating through the Fréchet Mean Aaron Lou Isay Katsman Qingxuan Jiang Serge J. Belongie Ser-Nam Lim Christopher De Sa DRL 164 64 0 29 Feb 2020
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization Shihao Jiang Dylan Campbell Miaomiao Liu Stephen Gould Leonid Sigal MDE 64 9 0 26 Feb 2020
Effective End-to-End Learning Framework for Economic Dispatch Chenbei Lu Kui Wang Chenye Wu 23 29 0 22 Feb 2020
Few-shot acoustic event detection via meta-learning Bowen Shi Ming Sun Krishna C. Puvvada Chieh-Chi Kao Spyros Matsoukas Chao Wang 79 62 0 21 Feb 2020
Implicit differentiation of Lasso-type models for hyperparameter optimization Quentin Bertrand Quentin Klopfenstein Mathieu Blondel Samuel Vaiter Alexandre Gramfort Joseph Salmon 104 66 0 20 Feb 2020
Structured Prediction for Conditional Meta-Learning Ruohan Wang Y. Demiris C. Ciliberto CLL 70 6 0 20 Feb 2020
Differentiable Top-k Operator with Optimal Transport Yujia Xie H. Dai Minshuo Chen Bo Dai T. Zhao H. Zha Wei Wei Tomas Pfister OT 70 27 0 16 Feb 2020
RNA Secondary Structure Prediction By Learning Unrolled Algorithms Xinshi Chen Yu Li Ramzan Umarov Xin Gao Le Song SyDa AI4TS 79 119 0 13 Feb 2020
BRPO: Batch Residual Policy Optimization Kentaro Kanamori Yinlam Chow Takuya Takagi Hiroki Arimura Honglak Lee Ken Kobayashi Craig Boutilier OffRL 236 45 0 08 Feb 2020
Differentiable Forward and Backward Fixed-Point Iteration Layers Younahan Jeon Minsik Lee J. Choi 50 1 0 07 Feb 2020
Deep Differentiable Grasp Planner for High-DOF Grippers Min Liu Zherong Pan Kai Xu Kanishka Ganguly Tianyi Zhou 112 76 0 04 Feb 2020
Safe Predictors for Enforcing Input-Output Specifications Stephen Mell Olivia M. Brown Justin A. Goodwin Sung-Hyun Son 43 6 0 29 Jan 2020