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
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints Kazumi Kasaura Shuwa Miura Tadashi Kozuno Ryo Yonetani Kenta Hoshino Y. Hosoe 84 14 0 18 Apr 2023
Safe Navigation and Obstacle Avoidance Using Differentiable Optimization Based Control Barrier Functions Bolun Dai Rooholla Khorrambakht Prashanth Krishnamurthy V. Gonccalves Anthony Tzes Farshad Khorrami 93 34 0 17 Apr 2023
Learning Robust and Correct Controllers from Signal Temporal Logic Specifications Using BarrierNet Wenliang Liu Wei Xiao C. Belta 77 6 0 12 Apr 2023
Learning Stability Attention in Vision-based End-to-end Driving Policies Tsun-Hsuan Wang Wei Xiao Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 81 6 0 05 Apr 2023
Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models P. Micaelli Arash Vahdat Hongxu Yin Jan Kautz Pavlo Molchanov 100 17 0 02 Apr 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Tanmay Gautam Samuel Pfrommer Somayeh Sojoudi 66 2 0 29 Mar 2023
Learning Iterative Neural Optimizers for Image Steganography Xiangyu Chen Varsha Kishore Kilian Q. Weinberger 38 6 0 27 Mar 2023
Learnable Graph Matching: A Practical Paradigm for Data Association Jiawei He Zehao Huang Naiyan Wang Zhaoxiang Zhang 81 3 0 27 Mar 2023
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths Ming Xu Sourav Garg Michael Milford Stephen Gould AI4TS 86 6 0 19 Mar 2023
LION: Implicit Vision Prompt Tuning Haixin Wang Jianlong Chang Xiao Luo Jinan Sun Zhouchen Lin Qi Tian VLM MLLM VPVLM 81 23 0 17 Mar 2023
Neural Partial Differential Equations with Functional Convolution Z. Wu Xingzhe He Yijun Li Cheng Yang Rui Liu S. Xiong Bo Zhu 61 1 0 10 Mar 2023
Decision-Oriented Learning with Differentiable Submodular Maximization for Vehicle Routing Problem Guan-Yu Shi Pratap Tokekar 64 3 0 02 Mar 2023
Implicit Bilevel Optimization: Differentiating through Bilevel Optimization Programming Francesco Alesiani 53 4 0 28 Feb 2023
FRoGGeR: Fast Robust Grasp Generation via the Min-Weight Metric Albert H. Li Preston Culbertson J. W. Burdick Aaron D. Ames OffRL 100 14 0 27 Feb 2023
Differentiable Arbitrating in Zero-sum Markov Games Jing Wang Meichen Song Feng Gao Boyi Liu Zhaoran Wang Yi Wu 115 2 0 20 Feb 2023
A Correct-and-Certify Approach to Self-Supervise Object Pose Estimators via Ensemble Self-Training Jingang Shi Rajat Talak Dominic Maggio Luca Carlone 3DPC 80 3 0 12 Feb 2023
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies Fang-le Zhou Chenle Pan Lintao Ma Yu Liu Shiyu Wang ... Xu Hu Yun Hu Yang Zheng Lei Lei Yun Hu 84 3 0 11 Feb 2023
CQnet: convex-geometric interpretation and constraining neural-network trajectories Bas Peters 73 0 0 09 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization Siyuan Xu Minghui Zhu 78 20 0 03 Feb 2023
IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation Juze Zhang Ye-ling Shi Yuexin Ma Lan Xu Jingyi Yu Jingya Wang 3DH 90 14 0 02 Feb 2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks Ryan Thompson Amir Dezfouli Robert Kohn 122 6 0 02 Feb 2023
Learning to Solve Integer Linear Programs with Davis-Yin Splitting Daniel McKenzie Samy Wu Fung Howard Heaton 102 4 0 31 Jan 2023
Backpropagation of Unrolled Solvers with Folded Optimization James Kotary M. H. Dinh Ferdinando Fioretto 100 15 0 28 Jan 2023
Two-Stage Learning For the Flexible Job Shop Scheduling Problem Wenbo Chen Reem Khir Pascal Van Hentenryck 59 4 0 23 Jan 2023
Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for Robotics Applications Jeonghoon Lee M. Michelis Robert K. Katzschmann Zachary Manchester 76 5 0 17 Jan 2023
CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation Yiming Lei Zilong Li Yangyang Li Junping Zhang Hongming Shan 77 3 0 15 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 111 3 0 22 Dec 2022
Towards Cooperative Flight Control Using Visual-Attention Lianhao Yin Makram Chahine Tsun-Hsuan Wang Tim Seyde Chao Liu Mathias Lechner Ramin Hasani Daniela Rus 95 5 0 21 Dec 2022
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems Jérôme Bolte Edouard Pauwels Antonio Silveti-Falls 67 13 0 15 Dec 2022
Transformers learn in-context by gradient descent J. Oswald Eyvind Niklasson E. Randazzo João Sacramento A. Mordvintsev A. Zhmoginov Max Vladymyrov MLT 154 497 0 15 Dec 2022
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging Heng Li Zhaopeng Cui Shuaicheng Liu Ping Tan 85 15 0 14 Dec 2022
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 99 4 0 13 Dec 2022
Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic Ashutosh Kumar Singh Jatan Shrestha Nicola Albarella DRL 63 7 0 05 Dec 2022
Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning Kaustubh Sridhar Vikram Singh Balakrishnan Narayanaswamy Abishek Sankararaman 68 1 0 02 Dec 2022
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds Ming Jin Vanshaj Khattar Harshal D. Kaushik Bilgehan Sel R. Jia 63 8 0 02 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 95 0 0 01 Dec 2022
Simultaneous Spatial and Temporal Assignment for Fast UAV Trajectory Optimization using Bilevel Optimization Qianzhong Chen Sheng Cheng N. Hovakimyan 37 3 0 29 Nov 2022
End-to-End Stochastic Optimization with Energy-Based Model Lingkai Kong Jiaming Cui Yuchen Zhuang Rui Feng B. Prakash Chao Zhang 55 18 0 25 Nov 2022
Learning to Play Trajectory Games Against Opponents with Unknown Objectives Xinjie Liu Lasse Peters Javier Alonso-Mora 137 31 0 24 Nov 2022
How to predict and optimise with asymmetric error metrics M. Abolghasemi Richard Bean 49 5 0 24 Nov 2022
A Recursively Recurrent Neural Network (R2N2) Architecture for Learning Iterative Algorithms Danimir T. Doncevic Alexander Mitsos Yu Guo Qianxiao Li Felix Dietrich Manuel Dahmen Ioannis G. Kevrekidis 66 7 0 22 Nov 2022
Implicit Training of Energy Model for Structure Prediction Shiv Shankar Vihari Piratla 75 0 0 21 Nov 2022
Exploring Physical Latent Spaces for High-Resolution Flow Restoration Chloé Paliard Nils Thuerey Kiwon Um AI4CE 113 0 0 21 Nov 2022
TorchOpt: An Efficient Library for Differentiable Optimization Jie Ren Xidong Feng Bo Liu Xuehai Pan Yao Fu Kai Zou Yaodong Yang 70 12 0 13 Nov 2022
Tractable Evaluation of Stein's Unbiased Risk Estimate with Convex Regularizers Parth Nobel Emmanuel Candès Stephen P. Boyd ELM LLMSV 125 5 0 11 Nov 2022
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems Rahul Mourya João F. C. Mota 65 2 0 06 Nov 2022
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation Linfeng Zhao Huazhe Xu Lawson L. S. Wong 91 7 0 24 Oct 2022
Revisiting Sparse Convolutional Model for Visual Recognition Xili Dai Mingyang Li Pengyuan Zhai Shengbang Tong Xingjian Gao Shao-Lun Huang Zhihui Zhu Chong You Yi Ma FAtt 89 30 0 24 Oct 2022
Deep Equilibrium Approaches to Diffusion Models Ashwini Pokle Zhengyang Geng Zico Kolter DiffM 96 43 0 23 Oct 2022
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems Aaron Ferber Taoan Huang Daochen Zha M. Schubert Benoit Steiner B. Dilkina Yuandong Tian 110 22 0 22 Oct 2022