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06

Feb


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07

Feb

Link to AI, Science, and Society Conference

Conference  •  06.02.2025 - 07.02.2025  •  Institut Polytechnique de Paris, École Polytechnique Campus, Route de Saclay, 91120 Palaiseau, France

9:30 am - 5:30 pm

AI, Science, and Society Conference

Daniel Cremers, MCML

We are pleased to announce that Daniel Cremers, Director of the MCML, will be a featured speaker at the upcoming conference titled “AI, Science, and Society: Connections, Collectives, and Collaboration.” This interdisciplinary event is scheduled to take place on February 6 and 7, 2025, at the Institut Polytechnique de Paris.

06

Feb

Link to Causal Discovery: What Can We Learn From Heterogeneous Noise?

Lecture  •  06.02.2025  •  LMU Munich, Ludwigstr. 28 VG/II; Room 211b

11:00 am - 12:00 pm

Causal Discovery: What Can We Learn From Heterogeneous Noise?

Alexander Marx, TU Dortmund

Causal discovery aims to learn causal networks, i.e., directed acyclic graphs (DAGs), from observational data. Although the problem is not feasible in the most general form, as it is not possible to infer causal relations from pure correlations, we can define structural assumptions about the functional relations underlying our observed system to …

06

Feb

Link to MCML Stammtisch - February Edition

MCML Stammtisch  •  06.02.2025  •  Gasthaus FUX, Türkenstraße 38, 80799 München

6:00 pm - 8:00 pm

MCML Stammtisch - February Edition

Join Us for an Evening of Connection and Conversation

We heartily invite to the next MCML-Stammtisch edition, taking place on Thursday, February 6th, at 6 pm, at Gasthaus FUX, Türkenstraße 38, Munich (very close to “U3 Universität”). Happy to see you there.

13

Feb

Link to Simplifying Debiased Inference via Automatic Differentiation and Probabilistic Programming

AI Keynote Series  •  13.02.2025  •  Online via Zoom

10:00 am - 11:30 am

Simplifying Debiased Inference via Automatic Differentiation and Probabilistic Programming

Alex Luedtke, Department of Statistics, University of Washington

The speaker would introduce an algorithm that simplifies the construction of efficient estimators, making them accessible to a broader audience. ‘Dimple’ takes as input computer code representing a parameter of interest and outputs an efficient estimator. Unlike standard approaches, it does not require users to derive a functional derivative known …

07

Mar

Link to Technologie von morgen, Probleme von gestern? Was tun gegen den Gender Gap in der Künstlichen Intelligenz?

BMBF Event  •  07.03.2025  •  BMBF Berlin, Kapelle-Ufer 1, 10117 Berlin

10:00 am - 1:00 pm

Technologie von morgen, Probleme von gestern? Was tun gegen den Gender Gap in der Künstlichen Intelligenz?

BMBF Event on International Women’s Day 2025

The central event of the Federal Ministry of Education and Research (BMBF) on International Women’s Day 2025 will focus on the gender gap in AI and ask: “Tomorrow’s technology, yesterday’s problems? What to do about the gender gap in AI?” In addition to a keynote speech, a moderated panel discussion is planned in which experts from science, research …

26

Mar

Link to LRZ Bootcamp With NIVIDA on Accelerated Distributed Computing

Bootcamp  •  26.03.2025  •  Leibniz Rechenzentrum, Boltzmannstr. 1, 85748 Garching bei München

9:00 am - 2:15 pm

LRZ Bootcamp With NIVIDA on Accelerated Distributed Computing

Train Multiple Systems and Learn About New Tools

The LRZ (Leibniz Supercomputing Centre) BDAI Team, together with NVIDIA, is organizing a Bootcamp on Accelerated Distributed Computing - powered by NVIDIA on March 26, 2025, at 9 AM. The key topics addressed are:
1. Training Parallelization - Various methods to split and optimize training across multiple systems, including data/model parallelism and …

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MCML Events Calendar

The MCML Events Calendar collects different types of events happening at and around the Munich Center for Machine Learning.

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To add an event to the MCML Events Calendar please write an Email to events@mcml.ai.