Differentiable Convex Optimization Layers

28 October 2019

Zico Kolter

Papers citing "Differentiable Convex Optimization Layers"

50 / 100 papers shown

Title
Sufficient Decision Proxies for Decision-Focused Learning Noah Schutte Grigorii Veviurko Krzysztof Postek Neil Yorke-Smith 29 0 0 06 May 2025
Differentiable Nonlinear Model Predictive Control Jonathan Frey Katrin Baumgärtner G. Frison D. Reinhardt Jasper Hoffmann Leonard Fichtner S. Gros Moritz Diehl 24 0 0 02 May 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 35 0 0 10 Apr 2025
Sample-Efficient Reinforcement Learning of Koopman eNMPC Daniel Mayfrank M. Velioglu Alexander Mitsos Manuel Dahmen OffRL 36 0 0 24 Mar 2025
Polytope Volume Monitoring Problem: Formulation and Solution via Parametric Linear Program Based Control Barrier Function Shizhen Wu Jinyang Dong Xu Fang Ning Sun Yongchun Fang 56 0 0 16 Mar 2025
Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management Shuyi Chen Ferdinando Fioretto Feng Qiu Shixiang Zhu 73 0 0 25 Feb 2025
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories Jean-Baptiste Bouvier Kanghyun Ryu Kartik Nagpal Qiayuan Liao K. Sreenath Negar Mehr 88 2 0 20 Feb 2025
Physics-Grounded Differentiable Simulation for Soft Growing Robots Lucas Chen Yitian Gao Sicheng Wang Francesco Fuentes Laura H. Blumenschein Zachary Kingston 38 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 Y. Yang Xiao Lin Zhipeng Zhao SSL 76 9 0 28 Jan 2025
TL-PCA: Transfer Learning of Principal Component Analysis Sharon Hendy Yehuda Dar 119 1 0 14 Oct 2024
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li Dong Tian Hongyi Zhou Xinkai Jiang Rudolf Lioutikov Gerhard Neumann OffRL 128 2 0 12 Oct 2024
Calibrated Probabilistic Forecasts for Arbitrary Sequences Charles Marx Volodymyr Kuleshov Stefano Ermon AI4TS 36 1 0 27 Sep 2024
A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization Aron Brenner Rahman Khorramfar Jennifer Sun Saurabh Amin 23 0 0 05 Sep 2024
Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique Andrew Kiruluta Andreas Lemos 23 0 0 19 Aug 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks Runzhong Wang Yunhao Zhang Ziao Guo Tianyi Chen Xiaokang Yang Junchi Yan 19 15 0 18 Jul 2024
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 47 1 0 08 Jul 2024
First-Order Methods for Linearly Constrained Bilevel Optimization Guy Kornowski Swati Padmanabhan Kai Wang Zhe Zhang S. Sra 68 5 0 18 Jun 2024
Adversarial Machine Unlearning Zonglin Di Sixie Yu Yevgeniy Vorobeychik Yang Liu 31 2 0 11 Jun 2024
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation Peiyu Liang Hongchang Gao Xubin He 28 0 0 04 Jun 2024
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization Daniel Mayfrank Na Young Ahn Alexander Mitsos Manuel Dahmen 16 2 0 21 Mar 2024
NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning Ruihua Han Shuai Wang Shuaijun Wang Zeqing Zhang Jianjun Chen ... Chengyang Li Chengzhong Xu Yonina C. Eldar Qi Hao Jia Pan 3DPC 34 2 0 11 Mar 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan Ziyu Wang Zackory M. Erickson David Held David Held 26 4 0 08 Feb 2024
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 32 3 0 22 Nov 2023
Differentiable Visual Computing for Inverse Problems and Machine Learning Andrew Spielberg Fangcheng Zhong Konstantinos Rematas Krishna Murthy Jatavallabhula Cengiz Öztireli Tzu-Mao Li Derek Nowrouzezahrai 32 7 0 21 Nov 2023
Learning the Efficient Frontier Philippe Chatigny Ivan Sergienko Ryan Ferguson Jordan Weir Maxime Bergeron 19 1 0 27 Sep 2023
Generating Transferable Adversarial Simulation Scenarios for Self-Driving via Neural Rendering Yasasa Abeysirigoonawardena Kevin Xie Chuhan Chen Salar Hosseini Ruiting Chen Ruiqi Wang Florian Shkurti 19 2 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 18 1 0 26 Sep 2023
Task-Aware Machine Unlearning and Its Application in Load Forecasting Wangkun Xu Fei Teng MU AI4TS 24 3 0 28 Aug 2023
DF2: Distribution-Free Decision-Focused Learning Lingkai Kong Wenhao Mu Jiaming Cui Yuchen Zhuang B. Prakash Bo Dai Chao Zhang OffRL 36 1 0 11 Aug 2023
You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization Grigorii Veviurko Wendelin Bohmer Mathijs de Weerdt 22 2 0 30 Jul 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 24 54 0 25 Jul 2023
RAYEN: Imposition of Hard Convex Constraints on Neural Networks J. Tordesillas Jonathan P. How Marco Hutter 16 10 0 17 Jul 2023
Addressing Discontinuous Root-Finding for Subsequent Differentiability in Machine Learning, Inverse Problems, and Control Dan Johnson Ronald Fedkiw AI4CE 21 2 0 21 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 11 5 0 14 Jun 2023
Learning the Positions in CountSketch Yi Li Honghao Lin Simin Liu A. Vakilian David P. Woodruff 19 18 0 11 Jun 2023
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting Andrea Cini Danilo P. Mandic C. Alippi AI4TS 24 9 0 30 May 2023
Improving Gradient Computation for Differentiable Physics Simulation with Contacts Yaofeng Desmond Zhong Jiequn Han Biswadip Dey Georgia Olympia Brikis 33 3 0 28 Apr 2023
End-to-End Learning with Multiple Modalities for System-Optimised Renewables Nowcasting Rushil Vohra A. Rajaei J. Cremer 16 5 0 14 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 8 5 0 05 Apr 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Tanmay Gautam Samuel Pfrommer Somayeh Sojoudi 18 2 0 29 Mar 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints Jiayang Li J. Yu Boyi Liu Zhaoran Wang Y. Nie 27 6 0 20 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization Siyuan Xu Minghui Zhu 9 19 0 03 Feb 2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks Ryan Thompson Amir Dezfouli Robert Kohn 24 4 0 02 Feb 2023
Minimizing Worst-Case Violations of Neural Networks Rahul Nellikkath Spyros Chatzivasileiadis 25 3 0 21 Dec 2022
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging Heng Li Zhaopeng Cui Shuaicheng Liu Ping Tan 11 14 0 14 Dec 2022
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 30 4 0 13 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 18 0 0 01 Dec 2022
Self-Destructing Models: Increasing the Costs of Harmful Dual Uses of Foundation Models Peter Henderson E. Mitchell Christopher D. Manning Dan Jurafsky Chelsea Finn 16 47 0 27 Nov 2022
How to Backpropagate through Hungarian in Your DETR? Lingjiao Chen Alok Sharma Chinmay Shirore Chengjie Zhang Balarama Raju Buddharaju 42 1 0 12 Nov 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 Y. Ma FAtt 29 27 0 24 Oct 2022