Introduction to Kr 2021 Interpretable Sequence Classification Via Discrete Optimization
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Kr 2021 Interpretable Sequence Classification Via Discrete Optimization Comprehensive Overview
Abstract: Graph Neural Networks (GNNs) have become a popular tool for learning algorithmic tasks, related to combinatorial ... Constraint Programming ... Mixed Integer Programs (MIP) are solved exactly by tree-based branch-and-bound search. However, various components of the ...
Summary & Highlights for Kr 2021 Interpretable Sequence Classification Via Discrete Optimization
- Join the Learning on Graphs and Geometry Reading Group: https://hannes-stark.com/logag-reading-group Paper: "Neural Set ...
- Lecture 17, April 16 2024.
- Deep Neural Networks are performant classifiers, but it is difficult to understand how they arrive at their 'decisions'. In our work on ...
- Aleksander Mądry, MIT https://simons.berkeley.edu/talks/alexander-madry-10-02-17 Fast Iterative Methods in
- Serdar Kadıoğlu, Parag Pravin Dakle, Karthik Uppuluri, Regina Politi, Preethi Raghavan, SaiKrishna Rallabandi & Ravisutha ...
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