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
Expert-Calibrated Learning for Online Optimization with Switching Costs Pengfei Li Jianyi Yang Shaolei Ren 84 12 0 18 Apr 2022
Deep Equilibrium Optical Flow Estimation Shaojie Bai Zhengyang Geng Yash Savani J. Zico Kolter 94 69 0 18 Apr 2022
Safe Reinforcement Learning Using Black-Box Reachability Analysis Mahmoud Selim Amr Alanwar Shreyas Kousik Grace Gao Marco Pavone Karl H. Johansson 66 34 0 15 Apr 2022
Gradient boosting for convex cone predict and optimize problems A. Butler R. Kwon 60 2 0 14 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 92 173 0 09 Apr 2022
Total Variation Optimization Layers for Computer Vision Raymond A. Yeh Yuan-Ting Hu Zhongzheng Ren Alex Schwing 53 14 0 07 Apr 2022
Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks A. Davydov Saber Jafarpour Matthew Abate Francesco Bullo Samuel Coogan 55 3 0 01 Apr 2022
Learning of Global Objective for Network Flow in Multi-Object Tracking Shuaiyang Li Yu Kong Hamid Rezatofighi VOT 94 20 0 30 Mar 2022
Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients Kaidong Li Ziming Zhang Cuncong Zhong Guanghui Wang 3DPC 78 25 0 29 Mar 2022
Partially Does It: Towards Scene-Level FG-SBIR with Partial Input Pinaki Nath Chowdhury A. Bhunia Viswanatha Reddy Gajjala Aneeshan Sain Tao Xiang Yi-Zhe Song 129 21 0 28 Mar 2022
DiffPoseNet: Direct Differentiable Camera Pose Estimation Chethan Parameshwara Gokul Hari Cornelia Fermuller N. Sanket Yiannis Aloimonos 60 33 0 21 Mar 2022
Neuro-physical dynamic load modeling using differentiable parametric optimization S. Abhyankar Ján Drgoňa Andrew August Elliott Skomski Aaron Tuor 42 2 0 20 Mar 2022
Leveraging Randomized Smoothing for Optimal Control of Nonsmooth Dynamical Systems Quentin Le Lidec Fabian Schramm Louis Montaut Cordelia Schmid Ivan Laptev Justin Carpentier 110 24 0 08 Mar 2022
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization Menelaos Kanakis S. Maurer Matteo Spallanzani Ajad Chhatkuli Luc Van Gool 3DPC 88 14 0 07 Mar 2022
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving Wei Xiao Tsun-Hsuan Wang Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 94 26 0 04 Mar 2022
Fail-Safe Adversarial Generative Imitation Learning Philipp Geiger C. Straehle GAN 62 2 0 03 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 87 7 0 25 Feb 2022
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection Luca Zancato Alessandro Achille G. Paolini A. Chiuso Stefano Soatto AI4TS 41 2 0 25 Feb 2022
Exploiting Problem Structure in Deep Declarative Networks: Two Case Studies Stephen Gould Dylan Campbell Itzik Ben-Shabat Chamin Pasidu Hewa Koneputugodage Zhiwei Xu 123 8 0 24 Feb 2022
Decentralized Safe Multi-agent Stochastic Optimal Control using Deep FBSDEs and ADMM M. Pereira A. Saravanos Oswin So Evangelos A. Theodorou 97 15 0 22 Feb 2022
Myriad: a real-world testbed to bridge trajectory optimization and deep learning Nikolaus H. R. Howe Simon Dufort-Labbé Nitarshan Rajkumar Pierre-Luc Bacon 72 5 0 22 Feb 2022
An end-to-end predict-then-optimize clustering method for intelligent assignment problems in express systems Jinlei Zhang Ergang Shan Lixia Wu Lixing Yang Ziyou Gao Haoyuan Hu 64 4 0 18 Feb 2022
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility Wai Tuck Wong Andrew Butler Ramesha Karunasena T. Nguyen Arunesh Sinha AAML 60 0 0 13 Feb 2022
AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems Ying Zhou Xiang Chen Peng Zhang Jun Wang Lei Wang Hongfeng Guo 95 1 0 10 Feb 2022
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health Kai Wang Shresth Verma Aditya Mate Sanket Shah Aparna Taneja N. Madhiwalla Aparna Hegde Milind Tambe 78 13 0 02 Feb 2022
Fine-grained differentiable physics: a yarn-level model for fabrics Deshan Gong Zhanxing Zhu A. Bulpitt He Wang AI4CE 99 10 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 181 48 0 01 Feb 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei Xu Haichao Zhang OffRL 149 31 0 28 Jan 2022
Continuous Deep Equilibrium Models: Training Neural ODEs faster by integrating them to Infinity Avik Pal Alan Edelman Chris Rackauckas 95 7 0 28 Jan 2022
Revisiting Global Pooling through the Lens of Optimal Transport Minjie Cheng Hongteng Xu 43 0 0 23 Jan 2022
Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments Hengbo Ma Bike Zhang Masayoshi Tomizuka Koushil Sreenath 125 24 0 04 Jan 2022
Max-Margin Contrastive Learning Anshul B. Shah S. Sra Ramalingam Chellappa A. Cherian SSL 84 46 0 21 Dec 2021
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 87 32 0 16 Dec 2021
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems Tianyu Zhao Xiang Pan Minghua Chen S. Low 96 10 0 15 Dec 2021
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 82 20 0 14 Dec 2021
Generalization Bounded Implicit Learning of Nearly Discontinuous Functions Bibit Bianchini Mathew Halm Nikolai Matni Michael Posa 83 12 0 13 Dec 2021
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules Xinfeng Xie Prakash Prabhu Ulysse Beaugnon P. Phothilimthana Sudip Roy Azalia Mirhoseini E. Brevdo James Laudon Yanqi Zhou 58 5 0 07 Dec 2021
Decision-Focused Learning: Through the Lens of Learning to Rank Jayanta Mandi Víctor Bucarey Maxime Mulamba Ke Tchomba Tias Guns 87 48 0 07 Dec 2021
DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes Michael Strecke Joerg Stueckler AI4CE 94 19 0 30 Nov 2021
Joint inference and input optimization in equilibrium networks Swaminathan Gurumurthy Shaojie Bai Zachary Manchester J. Zico Kolter 97 19 0 25 Nov 2021
ModelPred: A Framework for Predicting Trained Model from Training Data Yingyan Zeng Jiachen T. Wang Si-An Chen H. Just Ran Jin R. Jia TDI MU 82 4 0 24 Nov 2021
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation Yan Zhang David W. Zhang Simon Lacoste-Julien Gertjan J. Burghouts Cees G. M. Snoek BDL 104 22 0 23 Nov 2021
A Surrogate Objective Framework for Prediction+Optimization with Soft Constraints Kai Yan Jie Yan Chuan Luo Liting Chen Qingwei Lin Dongmei Zhang 24 3 0 22 Nov 2021
BarrierNet: A Safety-Guaranteed Layer for Neural Networks Wei Xiao Ramin Hasani Xiao Li Daniela Rus 81 20 0 22 Nov 2021
Adversarially Robust Learning for Security-Constrained Optimal Power Flow P. Donti Aayushya Agarwal Neeraj Vijay J. Pileggi Zico Kolter AAML 18 18 0 12 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 236 15 0 12 Nov 2021
A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation Bernardo Aceituno-Cabezas Alberto Rodriguez Shubham Tulsiani Abhinav Gupta Mustafa Mukadam 82 4 0 09 Nov 2021
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 131 72 0 09 Nov 2021
FC2T2: The Fast Continuous Convolutional Taylor Transform with Applications in Vision and Graphics Henning Lange J. Nathan Kutz 70 2 0 29 Oct 2021
Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 187 46 0 29 Oct 2021