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"

50 / 218 papers shown

Title
Neural Weighted A: Learning Graph Costs and Heuristics with Differentiable Anytime A Alberto Archetti Marco Cannici Matteo Matteucci 22 4 0 04 May 2021
A Latent space solver for PDE generalization Rishikesh Ranade C. Hill Haiyang He Amir Maleki Jay Pathak AI4CE 16 4 0 06 Apr 2021
Safe Model-based Control from Signal Temporal Logic Specifications Using Recurrent Neural Networks Wenliang Liu Mirai Nishioka C. Belta 35 5 0 29 Mar 2021
Learning to Solve the AC-OPF using Sensitivity-Informed Deep Neural Networks M. Singh V. Kekatos G. Giannakis 19 69 0 27 Mar 2021
Almost Surely Stable Deep Dynamics Nathan P. Lawrence Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni BDL 40 20 0 26 Mar 2021
Combating Adversaries with Anti-Adversaries Motasem Alfarra Juan C. Pérez Ali K. Thabet Adel Bibi Philip Torr Guohao Li AAML 34 27 0 26 Mar 2021
Differentiable Learning Under Triage Nastaran Okati A. De Manuel Gomez Rodriguez 38 63 0 16 Mar 2021
Strategic Classification Made Practical Sagi Levanon Nir Rosenfeld 40 55 0 02 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 35 54 0 25 Feb 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 45 129 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 30 14 0 22 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 19 5 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 62 223 0 27 Jan 2021
Differentiable Trust Region Layers for Deep Reinforcement Learning Fabian Otto P. Becker Ngo Anh Vien Hanna Ziesche Gerhard Neumann OffRL 41 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 19 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 18 5 0 10 Dec 2020
Neural Dynamic Policies for End-to-End Sensorimotor Learning Shikhar Bahl Mustafa Mukadam Abhinav Gupta Deepak Pathak 24 83 0 04 Dec 2020
RAFT-3D: Scene Flow using Rigid-Motion Embeddings Zachary Teed Jia Deng VGen 3DPC 23 129 0 01 Dec 2020
Learning from Human Directional Corrections Wanxin Jin Todd D. Murphey Zehui Lu Shaoshuai Mou 39 15 0 30 Nov 2020
Enforcing robust control guarantees within neural network policies P. Donti Melrose Roderick Mahyar Fazlyab J. Zico Kolter OOD 11 61 0 16 Nov 2020
Interior Point Solving for LP-based prediction+optimisation Jayanta Mandi Tias Guns 6 102 0 26 Oct 2020
Limitations of Autoregressive Models and Their Alternatives Chu-cheng Lin Aaron Jaech Xin Li Matthew R. Gormley Jason Eisner 29 58 0 22 Oct 2020
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers Philipp Geiger C. Straehle AI4CE 33 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 22 60 0 29 Jul 2020
Scalable Differentiable Physics for Learning and Control Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin PINN AI4CE 36 119 0 04 Jul 2020
Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning Hui Xie Zhe Pan Leixin Zhou F. Zaman Danny Chen J. Jonas Yaxing Wang Xiaodong Wu OOD 14 3 0 02 Jul 2020
On the Iteration Complexity of Hypergradient Computation Riccardo Grazzi Luca Franceschi Massimiliano Pontil Saverio Salzo 50 193 0 29 Jun 2020
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems Kai Wang Bryan Wilder Andrew Perrault Milind Tambe 21 28 0 18 Jun 2020
Learning Linear Programs from Optimal Decisions Yingcong Tan Daria Terekhov Andrew Delong 30 29 0 16 Jun 2020
Multiscale Deep Equilibrium Models Shaojie Bai V. Koltun J. Zico Kolter BDL 38 211 0 15 Jun 2020
Monotone operator equilibrium networks Ezra Winston J. Zico Kolter 32 130 0 15 Jun 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 36 85 0 15 Jun 2020
Distributionally Robust Weighted $k$ -Nearest Neighbors Shixiang Zhu Liyan Xie Minghe Zhang Rui Gao Yao Xie OOD 21 7 0 07 Jun 2020
Learning and Optimization of Blackbox Combinatorial Solvers in Neural Networks T. J. Wilder 13 0 0 06 Jun 2020
Physarum Powered Differentiable Linear Programming Layers and Applications Zihang Meng Sathya Ravi Vikas Singh 30 5 0 30 Apr 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow Zachary Teed Jia Deng MDE 80 2,555 0 26 Mar 2020
Hybrid Classification and Reasoning for Image-based Constraint Solving Maxime Mulamba Jayanta Mandi Rocsildes Canoy Tias Guns 33 11 0 24 Mar 2020
Differentiating through the Fréchet Mean Aaron Lou Isay Katsman Qingxuan Jiang Serge J. Belongie Ser-Nam Lim Christopher De Sa DRL 34 61 0 29 Feb 2020
Few-shot acoustic event detection via meta-learning Bowen Shi Ming Sun Krishna C. Puvvada Chieh-Chi Kao Spyros Matsoukas Chao Wang 30 60 0 21 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 32 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 27 118 0 13 Feb 2020
BRPO: Batch Residual Policy Optimization Kentaro Kanamori Yinlam Chow Takuya Takagi Hiroki Arimura Honglak Lee Ken Kobayashi Craig Boutilier OffRL 141 46 0 08 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
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 44 185 0 21 Jan 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 24 56 0 01 Jan 2020
Differentiable Convex Optimization Layers Akshay Agrawal Brandon Amos Shane T. Barratt Stephen P. Boyd Steven Diamond Zico Kolter 45 639 0 28 Oct 2019
The Differentiable Cross-Entropy Method Brandon Amos Denis Yarats 34 54 0 27 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 42 844 0 10 Sep 2019
Implicit Deep Learning L. Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai AI4CE 34 176 0 17 Aug 2019
The Limited Multi-Label Projection Layer Brandon Amos V. Koltun J. Zico Kolter 29 36 0 20 Jun 2019