23
Apr
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24
Apr
Tri-State Venture Sprint • Tübingen
From Frontier Research to Real-World Impact
Connect With Deeply Technical Researchers Across Munich, Tübingen, and Zurich
Venture Sprint is an intensive 90-day program for PhD students, PostDocs, and researchers in AI and Data Science who want to turn their research into real-world products. Across three focused weekend …
23
Apr
Girls'Day • Hochschule für Philosophie Munich
Girls' Day 2026
AI, You, and the World of Tomorrow
Join us on April 23, 2026, for an inspiring and interactive Girls’ Day dedicated to exploring how artificial intelligence shapes our world. This event is designed for girls and genderqueer students …
15
Apr
Colloquium • LMU Munich
Machine Learning at the Edge of Ignorance
Krikamol Muandet, CISPA Helmholtz Center for Information Security
The lecture describes how machine learning has transformed classical, precisely defined computation into data-driven learning and generalization to new situations. Today, it is a key technology for …
13
Apr
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14
Apr
Conference • Huxley Building London
Advancing AI Through Global Collaboration
MCML Delegation Visit 2026
Join the MCML Machine Learning Conference at Imperial College as we explore the Advances in Foundation, Language, Vision and Medicine. The conference brings together researchers from MCML, Imperial, …
29
Mar
Workshop • Rabat
Workshop VarDial @EACL 2026
13th Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial) 2026 Co-Located With EACL 2026
VarDial is a well-established series of workshops promoting a forum for scholars working on a range of topics related to the study of diatopic language variation from a computational perspective. This …
26
Mar
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27
Mar
Tri-State Venture Sprint • Zurich
From Frontier Research to Real-World Impact
Connect With Deeply Technical Researchers Across Munich, Tübingen, and Zurich
Venture Sprint is an intensive 90-day program for PhD students, PostDocs, and researchers in AI and Data Science who want to turn their research into real-world products. Across three focused weekend …
19
Mar
Pitchtalk Series • LMU Munich
MCML Pitchtalks With AppliedAI
Join Us for Networking and Insights
The next MCML Industry Pitch Talks at the Munich Center for Machine Learning will take place in partnership with the appliedAI Initiative. Topic: Execution in Production AI Systems We will focus on …
19
Feb
MCML Stammtisch • Atzinger Wirtshaus
MCML Stammtisch - February Edition
Join Us for an Evening of Connection and Conversation
We are pleased to invite you to the upcoming MCML Stammtisch, taking place on Thursday, February 19th, at 6 pm, at the Atzinger Wirtshaus. If you would like to join, please register here. We are looking …
19
Feb
AI Keynote Series • Online via zoom
Using New Data to Answer Old Questions
Emma Pierson, UC Berkeley
The explosion of new data sources has created new opportunities, and necessitated new machine learning methods, to answer old questions in the health and social sciences. This talk discusses three …
12
Feb
Munich AI Lectures • LMU Munich
How Machines Explore, Conjecture, and Discover Mathematics
Sebastian Pokutta, Zuse Institute Berlin (ZIB)
On Febuary 12, 2026, the next Munich AI Lecture will welcome Sebastian Pokutta from Zuse Institute Berlin (ZIB).
12
Feb
AI Keynote Series • Online via zoom
Learning From Informatively Missing Outcomes
Ruoxuan Xiong, Data & Decision Sciences, Emory University
Missing outcomes are widespread in modern data systems, such as in healthcare or on AI platforms, and often do not occur randomly. Frequently, the missing data depends on the unobserved outcome itself …
11
Feb
Talk Series • PATHOS Theater
One Year Left: Is the AI Apocalypse Coming?
Franziska Kaltenberger, MCML Junior Member
This event is part of an exhibition and talk series on the future of technology and art by 1E9 x Digitale Bühne. Starting from the controversial “AI 2027” scenario, the discussion asks whether …
04
Feb
Colloquium • LMU Munich
Large Language Models for Statistical Inference: Context Augmentation With Applications to the Two-Sample Problem and Regression
Marc Ratkovic, University of Mannheim
The colloquium introduces context expansion, an approach that uses large language models to generate additional contexts around strings to enable valid statistical inferences. These contexts reduce …
2021-09-28 - Last modified: 2026-04-27