16
Jun
Machine Learning meets Mathematical Philosophy
Joint Workshop of MCML and MCMP
16.06.2023
9:00 am - 6:30 pm
LMU Munich
The ever increasing impact of methods in machine learning and data science urgently calls for the study of their foundations. Important such foundational questions include their mathematical justification, their interpretability, and their consequences for the nature of scientific inference; and these questions are the concern of theorists, methodologists and philosophers alike.
This workshop brings together researchers from the Munich Center for Machine Learning (MCML) and the Munich Center for Mathematical Philosophy (MCMP) to exchange ideas on these topics and initiate possible collaborations.
Organized by:
Thomas Meier MCML
Tom Sterkenburg MCMP
Related
Online School • 07.10.2024 - 11.10.2024 • Online
Online Machine Learning School 2024
LMU Clinics present their Online Machine Learning School to close the gap between clinical practice and cutting-edge machine learning techniques.
TUM Open Day • 03.10.2024 • TUM, Boltzmannstraße 15, 85748 Garching bei München
The MCML at Open Day Campus Garching
The MCML is represented at the Open Day Campus Garching. MCML PI Reinhard Heckel will give a lecture on the topic "Data for LLMs" (in German).
Workshop • 07.08.2024 • LMU Munich, Professor-Huber-Platz 2, W201
3rd MCML Workshop on Causal Machine Learning
Join us at the 3rd MCML Workshop on Causal Machine Learning.
©MCML / TUM Think Tank
TUM Open Day - Workshop • 06.08.2024 - 07.08.2024 • See course information
TUM Entdeckerinnen: STEM Experience at University
As part of the "STEM Experience at the University," the chair of our PI Matthias Althoff will be represented with the workshop "Discover the World of Modular Robots".
Workshop • 25.07.2024 • LMU Munich, Biomedical Center and Biocenter, Großhaderner Straße 9, 82152 Planegg
Responsible Research 2024
As a member of the Life Science Munich Network of graduate programs, MCML, together with the GraduateCenterLMU, supports the event on responsible conduct in research.