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
Efficient End-to-End Learning for Decision-Making: A Meta-Optimization Approach Rares Cristian Pavithra Harsha Georgia Perakis Brian Quanz 19 0 0 16 May 2025
Decoding Futures Price Dynamics: A Regularized Sparse Autoencoder for Interpretable Multi-Horizon Forecasting and Factor Discovery Abhijit Gupta 31 0 0 11 May 2025
Differentiable Nonlinear Model Predictive Control Jonathan Frey Katrin Baumgärtner G. Frison D. Reinhardt Jasper Hoffmann Leonard Fichtner S. Gros Moritz Diehl 26 0 0 02 May 2025
A Domain-Agnostic Scalable AI Safety Ensuring Framework Beomjun Kim Kangyeon Kim Sunwoo Kim Heejin Ahn 57 0 0 29 Apr 2025
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation Wenxuan Li Hang Zhao Zhiyuan Yu Yu Du Qin Zou Ruizhen Hu K. Xu SSL 83 1 0 23 Apr 2025
Drive in Corridors: Enhancing the Safety of End-to-end Autonomous Driving via Corridor Learning and Planning Zhiwei Zhang Ruichen Yang Ke Wu Zijun Xu Jingchu Liu Lisen Mu Zhongxue Gan Wenchao Ding 40 0 0 10 Apr 2025
Control Barrier Functions via Minkowski Operations for Safe Navigation among Polytopic Sets Yi-Hsuan Chen Shuo Liu Wei Xiao C. Belta Michael Otte 61 1 0 01 Apr 2025
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management Shuyi Chen Ferdinando Fioretto Feng Qiu Shixiang Zhu 75 2 0 25 Feb 2025
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization Zishun Yu Tengyu Xu Di Jin Karthik Abinav Sankararaman Yun He ... Eryk Helenowski Chen Zhu Sinong Wang Hao Ma Han Fang LRM 54 5 0 29 Jan 2025
Physics-Grounded Differentiable Simulation for Soft Growing Robots Lucas Chen Yitian Gao Sicheng Wang Francesco Fuentes Laura H. Blumenschein Zachary Kingston 43 0 0 29 Jan 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Yuqing Yang Xiao Lin Zhipeng Zhao SSL 89 9 0 28 Jan 2025
A Generalization Bound for a Family of Implicit Networks Samy Wu Fung Benjamin Berkels 60 0 0 28 Jan 2025
Universal generalization guarantees for Wasserstein distributionally robust models Tam Le Jérome Malick OOD 56 2 0 28 Jan 2025
A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model Muhammad Hanif Lashari Shakil Ahmed Wafa Batayneh Ashfaq A. Khokhar 45 0 0 24 Jan 2025
iKap: Kinematics-aware Planning with Imperative Learning Qihang Li Zhuoqun Chen Haoze Zheng Haonan He Shaoshu Su Junyi Geng Chen Wang Chen Wang 109 4 0 12 Dec 2024
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LoRD: Adapting Differentiable Driving Policies to Distribution Shifts Christopher P. Diehl Peter Karkus Sushant Veer Marco Pavone Torsten Bertram 203 0 0 13 Oct 2024
Calibrated Probabilistic Forecasts for Arbitrary Sequences Charles Marx Volodymyr Kuleshov Stefano Ermon AI4TS 44 1 0 27 Sep 2024
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks Runzhong Wang Yang Li Junchi Yan Xiaokang Yang AI4CE 44 0 0 06 Sep 2024
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization Aron Brenner Rahman Khorramfar Jennifer Sun Saurabh Amin 33 0 0 05 Sep 2024
Physics-Driven AI Correction in Laser Absorption Sensing Quantification Ruiyuan Kang P. Liatsis Meixia Geng Qingjie Yang 45 0 0 20 Aug 2024
Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique Andrew Kiruluta Andreas Lemos 41 0 0 19 Aug 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks Runzhong Wang Yunhao Zhang Ziao Guo Tianyi Chen Xiaokang Yang Junchi Yan 32 16 0 18 Jul 2024
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 55 1 0 08 Jul 2024
First-Order Methods for Linearly Constrained Bilevel Optimization Guy Kornowski Swati Padmanabhan Kai Wang Zhe Zhang S. Sra 82 5 0 18 Jun 2024
Adversarial Machine Unlearning Zonglin Di Sixie Yu Yevgeniy Vorobeychik Yang Liu 49 2 0 11 Jun 2024
Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks Alan A. Lahoud Erik Schaffernicht J. A. Stork UQCV 30 0 0 05 Jun 2024
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation Peiyu Liang Hongchang Gao Xubin He 40 0 0 04 Jun 2024
Tactile-Driven Non-Prehensile Object Manipulation via Extrinsic Contact Mode Control Miquel Oller Dmitry Berenson Nima Fazeli 41 6 0 28 May 2024
A neural network-based approach to hybrid systems identification for control F. Fabiani Bartolomeo Stellato Daniele Masti Paul Goulart 30 2 0 02 Apr 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Zackory M. Erickson David Held David Held 34 4 0 08 Feb 2024
Control-Aware Trajectory Predictions for Communication-Efficient Drone Swarm Coordination in Cluttered Environments Longhao Yan Jingyuan Zhou Kaidi Yang 35 0 0 23 Jan 2024
DiffTune-MPC: Closed-Loop Learning for Model Predictive Control Ran Tao Sheng Cheng Xiaofeng Wang Shenlong Wang N. Hovakimyan 30 5 0 18 Dec 2023
CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs Bo Tang Elias Boutros Khalil 32 1 0 12 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 29 6 0 04 Dec 2023
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Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks MD Shafikul Islam Azmine Toushik Wasi 14 1 0 02 Nov 2023
End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic Jatan Shrestha Simon Idoko Basant Sharma A. K. Singh 11 5 0 23 Oct 2023
Simultaneous Learning of Contact and Continuous Dynamics Bibit Bianchini Mathew Halm Michael Posa 38 11 0 18 Oct 2023
Learning Reliable Logical Rules with SATNet Zhaoyu Li Jinpei Guo Yuhe Jiang Xujie Si LRM NAI 29 2 0 03 Oct 2023
Learning the Efficient Frontier Philippe Chatigny Ivan Sergienko Ryan Ferguson Jordan Weir Maxime Bergeron 19 1 0 27 Sep 2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation Zizhang Wu Zhuozheng Li Zhi-Gang Fan Yunzhe Wu Xiaoquan Wang Rui Tang Jian Pu 23 1 0 26 Sep 2023
DF2: Distribution-Free Decision-Focused Learning Lingkai Kong Wenhao Mu Jiaming Cui Yuchen Zhuang B. Prakash Bo Dai Chao Zhang OffRL 44 1 0 11 Aug 2023
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities Jayanta Mandi James Kotary Senne Berden Maxime Mulamba Víctor Bucarey Tias Guns Ferdinando Fioretto AI4CE 28 58 0 25 Jul 2023
Approximating nonlinear functions with latent boundaries in low-rank excitatory-inhibitory spiking networks William F. Podlaski C. Machens 25 9 0 18 Jul 2023
RAYEN: Imposition of Hard Convex Constraints on Neural Networks J. Tordesillas Jonathan P. How Marco Hutter 32 11 0 17 Jul 2023
Towards Understanding Gradient Approximation in Equality Constrained Deep Declarative Networks Stephen Gould Mingle Xu Zhiwei Xu Yanbin Liu 19 0 0 24 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 21 5 0 14 Jun 2023
A Novel Black Box Process Quality Optimization Approach based on Hit Rate Yang Yang Jian Wu Xiangman Song Derun Wu Lijie Su L. Tang 26 0 0 31 May 2023
Exploring the Space of Key-Value-Query Models with Intention M. Garnelo Wojciech M. Czarnecki 43 7 0 17 May 2023