Events 2023

Find future and past events.

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Apart from a scientific semester programme CWI organizes mini-symposia, masterclasses, lectures with renowned speakers (like the Abel prize winners from 2022), hackathons and data challenges. Additionally, we organize and host other regular scientific meetings like reading groups, seminars, collaboration sessions and open-problem sessions. The format is flexible to meet the preferences of the participants.

Kick-off conference International research collaboration Inria-CWI

13 Sep 2023 from noon to 14 Sep 2023 1:30 p.m. | CWI

International research collaboration kick-off – Inria – CWI

PhD defence Arkadiy Dushatskiy (EI)

6 Sep 2023 from 5 p.m. to 6 Sep 2023 6 p.m. | Delft University of Technology, Mekelweg 5, 2628 CC Delft

Expensive Optimization with Model-Based Evolutionary Algorithms applied to Medical Image Segmentation using Deep Learning

Evolutionary Intelligence Seminar (online) - Risto Miikkulainen - Neuroevolution

5 Sep 2023 from 4 p.m. to 5 Sep 2023 5 p.m. | hybrid, M290

Leveraging human expertise with machine discovery

ALGO 2023

4 Sep 2023 from 9 a.m. to 8 Sep 2023 1 p.m. | Centrum Wiskunde & Informatica - CWI

ESA: European Symposium on Algorithms

Workshop on Random Spatial Systems, Percolation and Critical Phenomena

24 Aug 2023 from 10 a.m. to 25 Aug 2023 1 p.m. | Centrum Wiskunde & Informatica

At the occasion of Rob van den Berg’s retirement. Organised together with Eurandom.

Evolutionary Intelligence Seminar - Marcus Gallagher (University of Queensland, Australia)

22 Aug 2023 from 4 p.m. to 4 p.m. | CWI, room L016

What was the question again? A reflection on benchmarking and research methods in numerical black-box optimisation

Machine Learning Seminar Shaul Bar-Lev

18 Aug 2023 from 11:30 a.m. to 18 Aug 2023 12:30 p.m. | CWI, L120

An Infinite Class of Exponential Family Dispersion Models for Count Data - A Survey of Current Research.

Evolutionary Intelligence Seminar - Tobias Moxter

8 Aug 2023 from 4 p.m. to 8 Aug 2023 5 p.m. | CWI, L016

Semantic Representations in Genetic Programming for Symbolic Regression: Explicit and Model-based Perspectives on Locality