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13 Results
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Workshop
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Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch · Mahalakshmi Sabanayagam · Debarghya Ghoshdastidar · Stephan Günnemann |
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Poster
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Wed 11:00 |
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs Xinyi HU · Jasper Lee · Jimmy Lee · Peter Stuckey |
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Poster
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Thu 16:30 |
Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes Zhenfeng Tu · Santiago Tomas Aranguri Diaz · Arthur Jacot |
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Poster
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Fri 16:30 |
Learning Generalized Linear Programming Value Functions Tu Anh-Nguyen · Joey Huchette · Christian Tjandraatmadja |
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Poster
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Thu 11:00 |
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models Jinlin Lai · Justin Domke · Daniel Sheldon |
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Poster
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Wed 16:30 |
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming Shinsaku Sakaue · Taihei Oki |
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Poster
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Fri 11:00 |
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization Qian Chen · Tianjian Zhang · Linxin Yang · Qingyu Han · Akang Wang · Ruoyu Sun · Xiaodong Luo · Tsung-Hui Chang |
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Workshop
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A New Approach to Generate Individual Level Data of Walled Garden Platforms: Linear Programming Reconstruction Yifei Pang · Sreenidhi Ganachari · Yuan Yuan · Steven Wu · Xiaojing Dong · Jin Xu · Zhenyu Yan |
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Poster
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Thu 16:30 |
Learning Cut Generating Functions for Integer Programming Hongyu Cheng · Amitabh Basu |
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Workshop
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CAFA: Coding as Auto-Formulation Can Boost Large Language Models in Solving Linear Programming Problem Haoxuan Deng · Bohao Zheng · YURI JIANG · Trung Tran |
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Poster
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Fri 16:30 |
On the Power of Small-size Graph Neural Networks for Linear Programming Qian Li · Tian Ding · Linxin Yang · Minghui Ouyang · Qingjiang Shi · Ruoyu Sun |
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Workshop
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Antibody Library Design by Seeding Linear Programming with Inverse Folding and Protein Language Models Conor Hayes · Andre Goncalves · Steven Magana-Zook · Ahmet Solak · Daniel faissol · Mikel Landajuela |