The VU Machine Learning Seminar aims to bring together researchers across departments at the VU. Our goal is to create a space for discussing fundamental and applied research involving machine learning, fostering interactive discussions across all stages of research, from initial ideas to completed work.
The seminar always takes place bi-weekly at 10:00 (CET) on Monday.
Next Seminar: LabGPT: Foundation Models for Laboratory Data.
Schedule
Seminars always take place between 10.00-11.00 (CET) once every two weeks on Monday.
Location & Date Speaker Title
(NU-3A57) 3 Feb: Fabian Hoppe Investigating the Robustness of Deductive Reasoning with Large Language Models
(NU-3A57) 17 Feb: Koen Kraaijveld COLUMBUS: Evaluating COgnitive Lateral Understanding through Multiple-choice reBUSes
(NU-3A57) 3 March: Xinrui Zu Reinforcement Learning Meets LLMs: From the Perspective of Robotics
(NU-3A57) 17 March Inès Blin From Symbols to Numbers: Measuring the Impact of Narrative Complexity on Embeddings
(NU-3A67) 14 April: Andrea Agiollo Lessons Learnt from Machine Learning and Neuro-Symbolic Integration
(NU-3A57) 28 April: Floris den Hengst Neuro-symbolic uncertainty quantification with coverage guarantees
(NU-3A67) 26 May: Interactive session
(NU-3A57) 7 July: Tom Pelletreau Duris Mechanistic Interpretability for Neural Networks
Summer Break
(NU-3A57) 1 September: Emile van Krieken Neurosymbolic Diffusion Models
(NU-3A67) 15 September: Martijn Siepel Learning on Graphs for Antimicrobial Stewardship (Amsterdam UMC)
(NU-3A67) 29 September: Martijn Schut Translational AI in Medicine: From Code to Care
(NU-3A57) 13 October: Sascha Saralajew Prototype-based Classification Learning: From traditional versions to modern approaches
(NU-4A67) 27 October: Lincen Yang MDL-based Interpretable Machine Learning for High-stake Applications
(NU-5A27) 10 November: Majid Lotfian Delouee LabGPT: Foundation Models for Laboratory Data.
(NU-4A67) 24 November: Evert Bosdriesz
(NU-3A57) 8 December:
Winter Break
(NU-3A57) 16 Feb: Benjamin Paassen (Uni of Bielefeld)
The seminar is co-organized by LR & QDA groups at VU. If you have questions, please contact:
