CombOptNet: Fit the Right NP-Hard Problem by Learning Integer
Programming Constraints

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CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints

5 May 2021

Michal Rolínek

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Papers citing "CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints"

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Title
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers Anselm Paulus Georg Martius Vít Musil AI4CE 112 1 0 08 Jul 2024
A Correct-and-Certify Approach to Self-Supervise Object Pose Estimators via Ensemble Self-Training Jingang Shi Rajat Talak Dominic Maggio Luca Carlone 3DPC 72 3 0 12 Feb 2023
Learning predictive checklists from continuous medical data Yukti Makhija E. Brouwer Rahul G. Krishnan 61 1 0 14 Nov 2022
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures Yatin Nandwani Rishabh Ranjan Mausam Parag Singla 51 7 0 17 Oct 2022
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints Xinyi Hu Jasper C. H. Lee Jimmy Ho-man Lee 98 17 0 08 Sep 2022
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions Nikolaos Karalias Joshua Robinson Andreas Loukas Stefanie Jegelka 119 9 0 08 Aug 2022
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers Mokanarangan Thayaparan Marco Valentino André Freitas 46 0 0 05 Aug 2022
Learning with Combinatorial Optimization Layers: a Probabilistic Approach Guillaume Dalle Léo Baty Louis Bouvier Axel Parmentier AI4CE 74 36 0 27 Jul 2022
Attributions Beyond Neural Networks: The Linear Program Case Florian Peter Busch Matej Zečević Kristian Kersting Devendra Singh Dhami FAtt 41 0 0 14 Jun 2022
Backpropagation through Combinatorial Algorithms: Identity with Projection Works Subham S. Sahoo Anselm Paulus Marin Vlastelica Vít Musil Volodymyr Kuleshov Georg Martius 98 20 0 30 May 2022
Finding Structure and Causality in Linear Programs Matej Zečević Florian Peter Busch Devendra Singh Dhami Kristian Kersting CML 30 0 0 29 Mar 2022
A Survey for Solving Mixed Integer Programming via Machine Learning Jiayi Zhang Chang-rui Liu Junchi Yan Xijun Li Hui-Ling Zhen Mingxuan Yuan AI4CE 67 76 0 06 Mar 2022
Confidence Threshold Neural Diving Taehyun Yoon 95 6 0 15 Feb 2022
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility Wai Tuck Wong Andrew Butler Ramesha Karunasena T. Nguyen Arunesh Sinha AAML 47 0 0 13 Feb 2022
Optimization with Constraint Learning: A Framework and Survey Adejuyigbe O. Fajemisin Donato Maragno D. Hertog 111 52 0 05 Oct 2021