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 29 11 0 18 Apr 2022
Deep Equilibrium Optical Flow Estimation Shaojie Bai Zhengyang Geng Yash Savani J. Zico Kolter 47 67 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 29 33 0 15 Apr 2022
Gradient boosting for convex cone predict and optimize problems A. Butler R. Kwon 28 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 23 161 0 09 Apr 2022
Learning of Global Objective for Network Flow in Multi-Object Tracking Shuaiyang Li Yu Kong Hamid Rezatofighi VOT 30 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 34 25 0 29 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 38 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 32 13 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 27 26 0 04 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization Sergey Bartunov F. Fuchs Timothy Lillicrap 34 7 0 25 Feb 2022
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection L. Zancato Alessandro Achille G. Paolini A. Chiuso Stefano Soatto AI4TS 22 1 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 30 8 0 24 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 32 5 0 22 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 32 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 21 12 0 02 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei Xu Haichao Zhang OffRL 69 31 0 28 Jan 2022
Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments Hengbo Ma Bike Zhang Masayoshi Tomizuka Koushil Sreenath 20 23 0 04 Jan 2022
Max-Margin Contrastive Learning Anshul B. Shah S. Sra Ramalingam Chellappa A. Cherian SSL 37 44 0 21 Dec 2021
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 32 28 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 27 10 0 15 Dec 2021
Efficient differentiable quadratic programming layers: an ADMM approach A. Butler R. Kwon 40 18 0 14 Dec 2021
DiffSDFSim: Differentiable Rigid-Body Dynamics With Implicit Shapes Michael Strecke Joerg Stueckler AI4CE 24 19 0 30 Nov 2021
Joint inference and input optimization in equilibrium networks Swaminathan Gurumurthy Shaojie Bai Zachary Manchester J. Zico Kolter 32 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 33 2 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 46 21 0 23 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 54 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 27 4 0 09 Nov 2021
On Training Implicit Models Zhengyang Geng Xinyu Zhang Shaojie Bai Yisen Wang Zhouchen Lin 72 69 0 09 Nov 2021
On sensitivity of meta-learning to support data Mayank Agarwal Mikhail Yurochkin Yuekai Sun 27 20 0 26 Oct 2021
Integrated Conditional Estimation-Optimization Sirui Chen Paul Grigas Zuo‐Jun Max Shen CML 35 25 0 24 Oct 2021
Differentiable Rendering with Perturbed Optimizers Quentin Le Lidec Ivan Laptev Cordelia Schmid Justin Carpentier 30 15 0 18 Oct 2021
A global convergence theory for deep ReLU implicit networks via over-parameterization Tianxiang Gao Hailiang Liu Jia Liu Hridesh Rajan Hongyang Gao MLT 36 16 0 11 Oct 2021
Safe Reinforcement Learning Using Robust Control Barrier Functions Y. Emam Gennaro Notomista Paul Glotfelter Z. Kira M. Egerstedt OffRL 16 39 0 11 Oct 2021
A composable autoencoder-based iterative algorithm for accelerating numerical simulations Rishikesh Ranade C. Hill Haiyang He Amir Maleki Norman Chang Jay Pathak AI4CE 43 5 0 07 Oct 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning Iris A. M. Huijben W. Kool Max B. Paulus Ruud J. G. van Sloun 28 94 0 04 Oct 2021
Lyapunov-stable neural-network control Hongkai Dai Benoit Landry Lujie Yang Marco Pavone Russ Tedrake 26 119 0 29 Sep 2021
Graph Neural Network-based Resource Allocation Strategies for Multi-Object Spectroscopy Tianshu Wang P. Melchior 18 7 0 27 Sep 2021
Is Attention Better Than Matrix Decomposition? Zhengyang Geng Meng-Hao Guo Hongxu Chen Xia Li Ke Wei Zhouchen Lin 62 138 0 09 Sep 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 72 369 0 01 Sep 2021
Differentiable Moving Horizon Estimation for Robust Flight Control Bingheng Wang Zhengtian Ma Shupeng Lai Lin Zhao Tong-heng Lee 43 6 0 06 Aug 2021
LEO: Learning Energy-based Models in Factor Graph Optimization Paloma Sodhi Eric Dexheimer Mustafa Mukadam Stuart Anderson Michael Kaess 42 16 0 04 Aug 2021
Constrained Feedforward Neural Network Training via Reachability Analysis Long Kiu Chung Adam Dai Derek Knowles Shreyas Kousik Grace Gao 19 8 0 16 Jul 2021
An End-to-End Differentiable Framework for Contact-Aware Robot Design Jie Xu Tao Chen Lara Zlokapa Michael Foshey Wojciech Matusik Shinjiro Sueda Pulkit Agrawal 27 89 0 15 Jul 2021
Fast Contact-Implicit Model-Predictive Control Simon Le Cleac'h Taylor A. Howell Shuo Yang Chia-Yen Lee John Z. Zhang Arun L. Bishop Mac Schwager Zachary Manchester 92 80 0 12 Jul 2021
Stabilizing Equilibrium Models by Jacobian Regularization Shaojie Bai V. Koltun J. Zico Kolter 33 57 0 28 Jun 2021
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions Mathias Niepert Pasquale Minervini Luca Franceschi 32 81 0 03 Jun 2021
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models Zaccharie Ramzi Florian Mannel Shaojie Bai Jean-Luc Starck P. Ciuciu Thomas Moreau 37 28 0 01 Jun 2021
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics Avik Pal Yingbo Ma Viral B. Shah Chris Rackauckas 28 36 0 09 May 2021