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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Title
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics Avik Pal Yingbo Ma Viral B. Shah Chris Rackauckas 80 37 0 09 May 2021
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference Mokanarangan Thayaparan Marco Valentino Deborah Ferreira Julia Rozanova André Freitas 120 10 0 07 May 2021
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints Anselm Paulus Michal Rolínek Vít Musil Brandon Amos Georg Martius 92 62 0 05 May 2021
Implicit differentiation for fast hyperparameter selection in non-smooth convex learning Quentin Bertrand Quentin Klopfenstein Mathurin Massias Mathieu Blondel Samuel Vaiter Alexandre Gramfort Joseph Salmon 99 28 0 04 May 2021
Neural Weighted A: Learning Graph Costs and Heuristics with Differentiable Anytime A Alberto Archetti Marco Cannici Matteo Matteucci 74 4 0 04 May 2021
DC3: A learning method for optimization with hard constraints P. Donti David Rolnick J. Zico Kolter AI4CE 89 196 0 25 Apr 2021
A Latent space solver for PDE generalization Rishikesh Ranade C. Hill Haiyang He Amir Maleki Jay Pathak AI4CE 84 4 0 06 Apr 2021
Learnable Graph Matching: Incorporating Graph Partitioning with Deep Feature Learning for Multiple Object Tracking Jiawei He Zehao Huang Naiyan Wang Zhaoxiang Zhang VOT 87 93 0 30 Mar 2021
Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact Keenon Werling Dalton Omens Jeongseok Lee Ionnis Exarchos Chenxi Liu PINN 89 82 0 30 Mar 2021
Safe Model-based Control from Signal Temporal Logic Specifications Using Recurrent Neural Networks Wenliang Liu Mirai Nishioka C. Belta 89 5 0 29 Mar 2021
Stiff Neural Ordinary Differential Equations Suyong Kim Weiqi Ji Sili Deng Yingbo Ma Chris Rackauckas AI4CE 95 154 0 29 Mar 2021
Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks M. Singh V. Kekatos G. Giannakis 53 75 0 27 Mar 2021
Almost Surely Stable Deep Dynamics Nathan P. Lawrence Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni BDL 75 20 0 26 Mar 2021
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond Zhishen Huang Siqi Ye Michael T. McCann S. Ravishankar MedIm 53 10 0 26 Mar 2021
Combating Adversaries with Anti-Adversaries Motasem Alfarra Juan C. Pérez Ali K. Thabet Adel Bibi Philip Torr Guohao Li AAML 103 27 0 26 Mar 2021
Few-shot Weakly-Supervised Object Detection via Directional Statistics Amirreza Shaban Amir M. Rahimi Thalaiyasingam Ajanthan Byron Boots Leonid Sigal WSOD 44 5 0 25 Mar 2021
DRO: Deep Recurrent Optimizer for Video to Depth Xiaodong Gu Weihao Yuan Zuozhuo Dai Siyu Zhu Chengzhou Tang Zilong Dong Ping Tan VGen 32 16 0 24 Mar 2021
Learning Optimal Fronthauling and Decentralized Edge Computation in Fog Radio Access Networks Hoon Lee Junbeom Kim Seok-Hwan Park 69 13 0 21 Mar 2021
Real-Time Visual Object Tracking via Few-Shot Learning Jinghao Zhou Yue Liu Peng Wang Peixia Li Weihao Gan Wei Wu Junjie Yan Wanli Ouyang 67 5 0 18 Mar 2021
Implicit Normalizing Flows Cheng Lu Jianfei Chen Chongxuan Li Qiuhao Wang Jun Zhu AI4CE 75 34 0 17 Mar 2021
Differentiable Learning Under Triage Nastaran Okati A. De Manuel Gomez Rodriguez 116 64 0 16 Mar 2021
Grasp Stability Analysis with Passive Reactions Maximilian Haas-Heger 55 1 0 10 Mar 2021
Strategic Classification Made Practical Sagi Levanon Nir Rosenfeld 85 60 0 02 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 106 56 0 25 Feb 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 155 132 0 23 Feb 2021
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization Jyun-Li Lin Wei-Ting Hung Shangtong Yang Ping-Chun Hsieh Xi Liu 117 14 0 22 Feb 2021
Differentiable Implicit Soft-Body Physics Junior Rojas Eftychios Sifakis L. Kavan PINN AI4CE 44 11 0 11 Feb 2021
Equilibrium Learning in Combinatorial Auctions: Computing Approximate Bayesian Nash Equilibria via Pseudogradient Dynamics Stefan Heidekrüger P. Sutterer Nils Kohring Maximilian Fichtl M. Bichler 50 6 0 28 Jan 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 152 229 0 27 Jan 2021
Differentiable Trust Region Layers for Deep Reinforcement Learning Fabian Otto P. Becker Ngo Anh Vien Hanna Ziesche Gerhard Neumann OffRL 76 19 0 22 Jan 2021
On the performance of deep learning for numerical optimization: an application to protein structure prediction H. Rakhshani L. Idoumghar Soheila Ghambari Julien Lepagnot Mathieu Brévilliers 59 9 0 17 Dec 2020
Optimization-Inspired Learning with Architecture Augmentations and Control Mechanisms for Low-Level Vision Risheng Liu Zhu Liu Pan Mu Xin-Yue Fan Zhongxuan Luo 70 5 0 10 Dec 2020
Neural Dynamic Policies for End-to-End Sensorimotor Learning Shikhar Bahl Mustafa Mukadam Abhinav Gupta Deepak Pathak 79 86 0 04 Dec 2020
Divide and Learn: A Divide and Conquer Approach for Predict+Optimize Ali Ugur Guler Emir Demirović Jeffrey Chan James Bailey C. Leckie Peter Stuckey 27 4 0 04 Dec 2020
Regularization and False Alarms Quantification: Two Sides of the Explainability Coin N. Safaei Pooria Assadi 14 0 0 02 Dec 2020
RAFT-3D: Scene Flow using Rigid-Motion Embeddings Zachary Teed Jia Deng VGen 3DPC 121 137 0 01 Dec 2020
Learning from Human Directional Corrections Wanxin Jin Todd Murphey Zehui Lu Shaoshuai Mou 116 16 0 30 Nov 2020
Enforcing robust control guarantees within neural network policies P. Donti Melrose Roderick Mahyar Fazlyab J. Zico Kolter OOD 87 65 0 16 Nov 2020
Stability Analysis of Complementarity Systems with Neural Network Controllers Alp Aydinoglu Mahyar Fazlyab M. Morari Michael Posa 57 9 0 15 Nov 2020
Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning R. Akrour Asma Atamna Jan Peters 21 3 0 13 Nov 2020
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training Zhou Zhou Shashank Jere Lizhong Zheng Lingjia Liu 46 7 0 10 Nov 2020
Interior Point Solving for LP-based prediction+optimisation Jayanta Mandi Tias Guns 66 107 0 26 Oct 2020
End-to-End Learning and Intervention in Games Jiayang Li Jiahao Yu Y. Nie Zhaoran Wang 66 33 0 26 Oct 2020
Limitations of Autoregressive Models and Their Alternatives Chu-cheng Lin Aaron Jaech Xin Li Matthew R. Gormley Jason Eisner 89 64 0 22 Oct 2020
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization Biao Zhang Peter Wonka 3DPC 60 4 0 16 Oct 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models Fan Bao Chongxuan Li Kun Xu Hang Su Jun Zhu Bo Zhang 83 14 0 15 Oct 2020
Differentiable Implicit Layers Andreas Look Simona Doneva M. Kandemir Rainer Gemulla Jan Peters 88 9 0 14 Oct 2020
Video Game Level Repair via Mixed Integer Linear Programming Hejia Zhang Matthew C. Fontaine Amy K. Hoover Julian Togelius B. Dilkina Stefanos Nikolaidis GAN 90 30 0 13 Oct 2020
Learning Binary Decision Trees by Argmin Differentiation Valentina Zantedeschi Matt J. Kusner Vlad Niculae 72 13 0 09 Oct 2020
ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations Samuel Pfrommer Mathew Halm Michael Posa 100 88 0 23 Sep 2020