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
Toward An Analytic Theory of Intrinsic Robustness for Dexterous Grasping Albert H. Li Preston Culbertson Aaron D. Ames 52 0 0 12 Mar 2024
Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning Sanket Shah A. Suggala Milind Tambe Aparna Taneja 58 0 0 08 Mar 2024
LeTac-MPC: Learning Model Predictive Control for Tactile-reactive Grasping Zhengtong Xu Yu She 79 11 0 07 Mar 2024
End-to-end Conditional Robust Optimization A. Chenreddy Erick Delage 115 11 0 07 Mar 2024
From Inverse Optimization to Feasibility to ERM Saurabh Mishra Anant Raj Sharan Vaswani 85 3 0 27 Feb 2024
Bayesian Differentiable Physics for Cloth Digitalization Deshan Gong Ningtao Mao He Wang AI4CE 100 1 0 27 Feb 2024
Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization Zhenzhang Ye Gabriel Peyré Daniel Cremers Pierre Ablin 78 2 0 26 Feb 2024
Sparse and Structured Hopfield Networks Saul Santos Vlad Niculae Daniel McNamee Andre F. T. Martins 72 6 0 21 Feb 2024
Scaling physics-informed hard constraints with mixture-of-experts N. Chalapathi Yiheng Du Aditi Krishnapriyan AI4CE 102 16 0 20 Feb 2024
Mechanistic Neural Networks for Scientific Machine Learning Adeel Pervez Francesco Locatello E. Gavves PINN AI4CE 68 10 0 20 Feb 2024
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty M. H. Dinh James Kotary Ferdinando Fioretto 89 0 0 12 Feb 2024
Physics-Informed Neural Networks with Hard Linear Equality Constraints Hao Chen Gonzalo E. Constante-Flores Canzhou Li PINN 50 18 0 11 Feb 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Yufei Wang Zackory M. Erickson David Held 137 4 0 08 Feb 2024
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages M. H. Dinh James Kotary Ferdinando Fioretto 61 1 0 07 Feb 2024
FlowPG: Action-constrained Policy Gradient with Normalizing Flows J. Brahmanage Jiajing Ling Akshat Kumar 70 4 0 07 Feb 2024
LeTO: Learning Constrained Visuomotor Policy with Differentiable Trajectory Optimization Zhengtong Xu Yu She 83 3 0 30 Jan 2024
Control-Aware Trajectory Predictions for Communication-Efficient Drone Swarm Coordination in Cluttered Environments Longhao Yan Jingyuan Zhou Kaidi Yang 60 0 0 23 Jan 2024
QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints Sihan Zeng Youngdae Kim Yuxuan Ren Kibaek Kim 69 2 0 11 Jan 2024
Learning to Configure Mathematical Programming Solvers by Mathematical Programming Gabriele Iommazzo C. D’Ambrosio A. Frangioni Leo Liberti 17 4 0 10 Jan 2024
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process Zhenan Fan Bissan Ghaddar Xinglu Wang Linzi Xing Yong Zhang Zirui Zhou AI4CE 101 13 0 06 Jan 2024
Decision-focused predictions via pessimistic bilevel optimization: a computational study Víctor Bucarey Sophia Calderón Gonzalo Munoz Frédéric Semet 66 0 0 29 Dec 2023
Analyzing and Enhancing the Backward-Pass Convergence of Unrolled Optimization James Kotary Jacob K Christopher M. H. Dinh Ferdinando Fioretto 47 0 0 28 Dec 2023
Learning Lagrangian Multipliers for the Travelling Salesman Problem Augustin Parjadis Quentin Cappart B. Dilkina Aaron Ferber Louis-Martin Rousseau 73 2 0 22 Dec 2023
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control Ran Tao Sheng Cheng Xiaofeng Wang Shenlong Wang N. Hovakimyan 98 7 0 18 Dec 2023
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning Wangkun Xu Jianhong Wang Fei Teng 48 4 0 17 Dec 2023
Assessing SATNet's Ability to Solve the Symbol Grounding Problem Oscar Chang Lampros Flokas Hod Lipson Michael Spranger NAI 75 17 0 13 Dec 2023
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs Bo Tang Elias Boutros Khalil 65 2 0 12 Dec 2023
QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks Thomas Paniagua Ryan Grainger Tianfu Wu AAML 75 0 0 12 Dec 2023
MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control Yiwen Lu Zishuo Li Yihan Zhou Na Li Yilin Mo 64 2 0 08 Dec 2023
Energy-based Potential Games for Joint Motion Forecasting and Control Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Timo Osterburg Torsten Bertram AI4CE 112 7 0 04 Dec 2023
Predict-Then-Optimize by Proxy: Learning Joint Models of Prediction and Optimization James Kotary Vincenzo Di Vito Jacob K Christopher Pascal Van Hentenryck Ferdinando Fioretto 96 3 0 22 Nov 2023
Creating Temporally Correlated High-Resolution Power Injection Profiles Using Physics-Aware GAN Hritik Shah Behrouz Azimian Anamitra Pal 69 0 0 20 Nov 2023
Deep Equilibrium Diffusion Restoration with Parallel Sampling Jingyun Liang Yue Shi Kai Zhang Yulun Zhang Radu Timofte Luc Van Gool DiffM 72 11 0 20 Nov 2023
Two-Stage Predict+Optimize for Mixed Integer Linear Programs with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 89 2 0 14 Nov 2023
Rethinking and Benchmarking Predict-then-Optimize Paradigm for Combinatorial Optimization Problems Haoyu Geng Hang Ruan Runzhong Wang Yang Li Yang Wang Lei Chen Junchi Yan 85 4 0 13 Nov 2023
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning Artyom Gadetsky Maria Brbić 69 7 0 06 Nov 2023
Anytime-Competitive Reinforcement Learning with Policy Prior Jianyi Yang Pengfei Li Tongxin Li Adam Wierman Shaolei Ren 98 3 0 02 Nov 2023
Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks MD Shafikul Islam Azmine Toushik Wasi 46 1 0 02 Nov 2023
Behavior Alignment via Reward Function Optimization Dhawal Gupta Yash Chandak Scott M. Jordan Philip S. Thomas Bruno Castro da Silva 110 11 0 29 Oct 2023
End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic Jatan Shrestha Simon Idoko Basant Sharma A. K. Singh 92 6 0 23 Oct 2023
Differentiable Vertex Fitting for Jet Flavour Tagging Rachel E. C. Smith Ines Ochoa Rúben Inácio Jonathan Shoemaker Michael Kagan 61 3 0 19 Oct 2023
Simultaneous Learning of Contact and Continuous Dynamics Bibit Bianchini Mathew Halm Michael Posa 84 13 0 18 Oct 2023
Reduced Policy Optimization for Continuous Control with Hard Constraints Shutong Ding Jingya Wang Yali Du Ye-ling Shi 60 6 0 14 Oct 2023
A predict-and-optimize approach to profit-driven churn prevention Nuria Gómez-Vargas Sebastián Maldonado Carla Vairetti 51 2 0 10 Oct 2023
Robust Losses for Decision-Focused Learning Noah Schutte Krzysztof Postek Neil Yorke-Smith 94 5 0 06 Oct 2023
Soft Convex Quantization: Revisiting Vector Quantization with Convex Optimization Tanmay Gautam Reid Pryzant Ziyi Yang Chenguang Zhu Somayeh Sojoudi MQ 58 4 0 04 Oct 2023
Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming A. Chriat Chuangchuang Sun 90 1 0 03 Oct 2023
GenCO: Generating Diverse Designs with Combinatorial Constraints Aaron Ferber Arman Zharmagambetov Taoan Huang B. Dilkina Yuandong Tian 3DV 76 0 0 03 Oct 2023
Learning Reliable Logical Rules with SATNet Zhaoyu Li Jinpei Guo Yuhe Jiang Xujie Si LRM NAI 66 2 0 03 Oct 2023
Decision-Oriented Learning Using Differentiable Submodular Maximization for Multi-Robot Coordination Guan-Yu Shi Chak Lam Shek N. Karapetyan Pratap Tokekar 50 0 0 02 Oct 2023