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IOL Lab seminar 2019–2021
Seminar talks in the years 2019–2021, mostly joint with Combinatorial Optimization & Graph Algorithms group at Technical University Berlin
IOL Lab - COVID-19
Simple predictions for the spread of COVID-19 pandemic based on past data, not suitable for decision making.
IOL Lab - COVID-19 for Berlin
Simple predictions for the spread of COVID-19 pandemic in Berlin, not suitable for decision making
IOL Lab - COVID-19 in Berlin
Enfaches Vorhersagen des Verlaufs der COVID-19 Pandemie in Berlin, nur geignet für Unterstützung anderer Methoden.
IOL Lab - Zuse Fellows
Zuse Fellows of the Laboratory for Interactive Optimization and Learning
IOL Lab - Home
Introducing Laboratory for Interactive Optimization and Learning
IOL Lab - Join us
The Laboratory for Interactive Optimization and Learning is continuously searching for new members. Here is information on how to express your interest.
IOL Lab - Join us
IOL Lab - Projects
Research projects at the Laboratory for Interactive Optimization and Learning
IOL Lab - Publications
List of publications by members of Laboratory for Interactive Optimization and Learning
IOL Lab - Research Areas
Laboratory for Interactive Optimization and Learning focuses its research on optimization and learning with a wide perspective incorporating both traditional methods like conditional gradients and alternative computation models, as well as explainability of algorithmic outputs.
IOL Lab - Seminar
Seminar of the Interactive Optimization and Learning Lab at Technical University Berlin and Zuse Institute Berlin
IOL Lab - Seminar 2022-2023
Seminar of the Interactive Optimization and Learning Lab at Technical University Berlin and Zuse Institute Berlin in years 2022 and 2023
IOL Lab - Team
A brief overview of members of Laboratory for Interactive Optimization and Learning
IOL Lab - Theses
Theses written as part of the Laboratory for Interactive Optimization and Learning
IOL Lab - Visitors
A brief overview of guests, visitors, and fellows of Laboratory for Interactive Optimization and Learning
IOL Lab - Aldo Kiem
Short profile of Aldo Kiem at IOL Lab
IOL Lab - Alexander Hoen
Short profile of Alexander Hoen at IOL Lab
IOL Lab - Alonso Urbano
Short profile of Alonso Urbano at IOL Lab
IOL Lab - Antonia Chmiela
Short profile of Antonia Chmiela at IOL Lab
IOL Lab - Arwed Steuer
Short profile of Arwed Steuer at IOL Lab
IOL Lab - Berkant Turan
Short profile of Berkant Turan at IOL Lab
IOL Lab - Christoph Graczyk
Short profile of Christoph Graczyk at IOL Lab
IOL Lab - Christoph Spiegel
Short profile of Christoph Spiegel at IOL Lab
IOL Lab - Christophe Roux
Short profile of Christophe Roux at IOL Lab
IOL Lab - Deborah Hendrych
Short profile of Deborah Hendrych at IOL Lab
IOL Lab - Felix Prause
Short profile of Felix Prause at IOL Lab
IOL Lab - Gábor Braun
Short profile of Gábor Braun at IOL Lab
IOL Lab - Gabriele Iommazzo
Short profile of Gabriele Iommazzo at IOL Lab
IOL Lab - Gioni Mexi
Short profile of Gioni Mexi at IOL Lab
IOL Lab - Ingo Meise
Short profile of Ingo Meise at IOL Lab
IOL Lab - Jannis Halbey
Short profile of Jannis Halbey at IOL Lab
IOL Lab - João Dionísio
Short profile of João Dionísio at IOL Lab
IOL Lab - Kartikey Sharma
Short profile of Kartikey Sharma at IOL Lab
IOL Lab - Konrad Mundinger
Short profile of Konrad Mundinger at IOL Lab
IOL Lab - Ksenia Bestuzheva
Short profile of Ksenia Bestuzheva at IOL Lab
IOL Lab - Xu Liding
Short profile of Xu Liding at IOL Lab
IOL Lab - Max Zimmer
Short profile of Max Zimmer at IOL Lab
IOL Lab - Mohammed Ghannam
Short profile of Mohammed Ghannam at IOL Lab
IOL Lab - Moritz Wagner
Short profile of Moritz Wagner at IOL Lab
IOL Lab - Olaf Parczyk
Short profile of Olaf Parczyk at IOL Lab
IOL Lab - Olivia Röhrig
Short profile of Olivia Röhrig at IOL Lab
IOL Lab - Patrick Gelß
Short profile of Patrick Gelß at IOL Lab
IOL Lab - Sai Ganesh Nagarajan
Short profile of Sai Ganesh Nagarajan at IOL Lab
IOL Lab - Sebastian Knebel
Short profile of Sebastian Knebel at IOL Lab
IOL Lab - Sebastian Pokutta
Short profile of Sebastian Pokutta at IOL Lab
IOL Lab - Sébastien Designolle
Short profile of Sébastien Designolle at IOL Lab
IOL Lab - Shpresim Sadiku
Short profile of Shpresim Sadiku at IOL Lab
IOL Lab - Steven-Marian Stengl
Short profile of Steven-Marian Stengl at IOL Lab
IOL Lab - Suresh Bolusani
Short profile of Suresh Bolusani at IOL Lab
IOL Lab - Liu Ye-Chao
Short profile of Liu Ye-Chao at IOL Lab
IOL Lab - Yves Jäckle
Short profile of Yves Jäckle at IOL Lab
IOL Lab - Computational Mathematics
Research thrust Computational Mathematics at IOL Lab
IOL Lab - Continuous Optimization
Research thrust Continuous Optimization at IOL Lab
IOL Lab - Integer Optimization
Research thrust Integer Optimization at IOL Lab
IOL Lab - Quantum Mathematics
Research thrust Quantum Mathematics at IOL Lab
IOL Lab - Robust and Explainable Learning
Research thrust Robust and Explainable Learning at IOL Lab
LEAN on Me: Transforming Mathematics Through Formal Verification, Improved Tactics, and Machine Learning
Approximating Combinatorial Optimization Problems
AI-Based High-Resolution Forest Monitoring
Learning to Schedule Heuristics in IP
Daten- Und Prozessbasierte Zustandsermittlung Für Eine Wertorientierte Komponentenbewirtschaftung in Imperfekter Umgebung
Entanglement Detection Via Frank-Wolfe Algorithms
Convex Solver Adaptivity for Mixed-integer Optimization
Beyond the Worst-case: Data-dependent Rates in Learning and Optimization
Sparsity and Sample-size Efficiency in Structured Learning
Decision-making for Energy Network Dynamics
Learning Extremal Structures in Combinatorics
Scaling Up Flag Algebras in Combinatorics
On a Frank-Wolfe Approach for Abs-smooth Optimization
Expanding Merlin-Arthur Classifiers: Interpretable Neural Networks Through Interactive Proof Systems
Adaptive Algorithms Through Machine Learning: Exploiting Interactions in Integer Programming
MiniMIP: a Faster, More Reliable, and Easier Way to Maintain and Solve MIP Problems
Research Campus MODAL SynLab
Quantum Computing and Integer Programming
Quantum Algorithms for Optimization
Decomposition Methods for Mixed-integer Optimal Control
Theoretical Foundations of Deep Learning
Globally Optimal Neural Network Training