06
Feb
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07
Feb
![Link to AI, Science, and Society Conference](/images/logos/institut-polytechnique-de-paris.jpg)
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 …
06
Feb
![Link to Causal Discovery: What Can We Learn From Heterogeneous Noise?](/images/logos/som-ki-keynotes.jpg)
©geralt - pixabay.com
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 …
06
Feb
![Link to MCML Stammtisch - February Edition](/images/events/2025-02-06-stammtisch.webp)
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](/images/events/ai-keynote-som.webp)
©jittawit.21 - stock.adobe.com
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?](/images/logos/bmbf.webp)
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](/images/logos/lrz.png)
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 …
28
Mar
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30
Mar
![Link to DataFest 2025](/images/events/2025_03_28_DataFest_neu.png)
Hackathon • 28.03.2025 - 30.03.2025 • LMU Munich, Main Building
DataFest 2025
Call for Applications
Join the DataFest Germany on March, 28-30, 2025, a 48-hour competition challenging teams of students to analyze complex datasets. The DataFest is a student competition for data analysis (“hackathon”) in which bachelor and master students of all disciplines can participate. In teams of 2-5 people, you will analyze a large and complex data set over a …
02
Apr
![Link to MCML Industry Pitchtalks With appliedAI](/images/events/2025-04-02-industry-pitchtalks-applied-ai.webp)
Pitchtalk Series • 02.04.2025 • tbd
MCML Industry Pitchtalks With appliedAI
Join Us for Networking and Insights
On April 2nd, we will welcome appliedAI and some of their industry partners from industry to the MCML for a Meetup as part of our “MCML Pitchtalks with Industry”. Some of our junior members and research staff from appliedAI and their partners will engage in exchange of ideas on AI Agentic Systems, RAG Methods, Generative AI and AGI-Benchmarking. …
10
Apr
![Link to MCML Industry Pitchtalks With Bain & Company](/images/events/2025-04-10-industry-pitch-talk-bain.webp)
Pitchtalk Series • 10.04.2025 • Bain&Company, Karlsplatz 1, 80335 München
5:00 pm - 9:00 pm
MCML Industry Pitchtalks With Bain & Company
Join Us for Networking and Insights
On April 10th, we will be invited to Bain & Company for a Meetup in our series MCML Pitchtalks with Industry. Some of our junior members and research staff from Bain & Company will show each other’s research on decision-theoretic methods, uncertainty quantification, and generative AI. Join us for a lively meetup, and feel free to reach out to …