We are the IOL Lab at the Zuse Institute and Technische Universität Berlin. We work at the intersection of mathematics and computer science research focus is on Artificial Intelligence, Optimization, and Machine Learning. Here you will find software repositories relating to our research, in particular actively maintained Julia and Python packages, especially the Frank-Wolfe.jl and the Boscia.jl package.
IOL Lab
Working on optimization and learning at the intersection of mathematics and computer science
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- Germany
- https://iol.zib.de
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Repositories
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- OptimalDesignWithBoscia Public
Solving the Exact Optimal Experiment Design Problem using the convex mixed-integer solver Boscia.jl
ZIB-IOL/OptimalDesignWithBoscia’s past year of commit activity - BellPolytopes.jl Public
This julia package addresses the membership problem for local polytopes: it constructs Bell inequalities and local models in multipartite Bell scenarios with binary outcomes.
ZIB-IOL/BellPolytopes.jl’s past year of commit activity - FedDistill Public
Code to reproduce the experiments of "On the Byzantine-Resilience of Distillation-Based Federated Learning"
ZIB-IOL/FedDistill’s past year of commit activity - AffineInvariantOLFW Public
Code for the paper Accelerated Affine-Invariant Vonvergence Rates of the Frank-Wolfe Algorithm with Open-Loop Step-Sizes
ZIB-IOL/AffineInvariantOLFW’s past year of commit activity
