14
May
Colloquium • 14.05.2025 • LMU Department of Statistics and via zoom
4:15 pm - 5:45 pm
Robustness in Semiparametric Statistics
Rajen Shah, University of Cambridge
Given that all models are wrong, it is important to understand the performance of methods when the settings for which they have been designed are not met, and to modify them where possible so they are robust to these sorts of departures from the ideal. We present two examples with this broad goal in mind. We first look at a classical case of model …
08
May
Seminar • 08.05.2025 • Seminar Room Statistics, LMU
4:00 pm - 6:00 pm
How to PhD
Tips and Insights for a Successful PhD
Exclusive for MCML PhD Students We invite our MCML PhD Students to a seminar, panel and workshop focused on key questions surrounding the PhD journey, including:
- How to publish successfully
- Where to travel (conferences, summer schools)
- How to work with your supervisor
- What really matters during a PhD
06
May
Workshop • 06.05.2025 • House of Communication, August-Everding-Straße 25, 81671 Munich
5:30 pm - 9:00 pm
Part 1: Comparing Notes on Trustworthy AI
AI Agents 101: What They Are, How They Work, and How They Can Create Value
By popular demand, the “Comparing Notes on Trustworthy AI” series continues in 2025. This year, we will be exploring different political, legal, technical, and ethical perspectives on AI Agents. Join us for our first event in Munich, free registration here: https://lnkd.in/eX7Pf6UJ
- We will have panel and networking to continue the discussion. The …
06
May
Pitchtalk Series • 06.05.2025 • Daiichi Sankyo, Munich Office
4:00 pm - 6:00 pm
MCML Industry Pitchtalks With Daiichi Sankyo
Join Us for Networking and Insights
On May 6th, the MCML will have its next Pitchtalk with Industry. That day, we will visit Daiichi Sankyo. At their Munich Office, from 16:00 - 18:00.
24
Apr
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Meetup • 24.04.2025 • Impact Hub Munich, Gotzinger Str. 8, 81371 Munich
5:30 pm - 8:30 pm
Munich AI, Machine Learning and Computer Vision Meetup
Cecilia Curreli, MCML
On April 24, 2025, the Munich AI, ML, and Computer Vision Meetup will take place at Impact Hub Munich. The event will feature talks from experts on cutting-edge topics in AI, machine learning, and computer vision. One of the speakers is our Junior Member Cecilia Curreli, who will present her research on human motion prediction using nonisotropic …
23
Apr
Colloquium • 23.04.2025 • LMU Department of Statistics and via zoom
4:15 pm - 5:45 pm
Story-Led Causal Inference
Jessica Young, Harvard University
The modern causal inference literature has expressed a deep divide over the nature of the so-called consistency condition. Consistency is popularly characterized as the condition that counterfactual/potential outcomes indexed by a hypothetical intervention of interest may be equated to measured outcomes among those whose data is consistent with …
10
Apr
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 …
09
Apr
Demo Day • 09.04.2025 • WERK1, Munich
5:00 pm - 8:00 pm
The LMU Innovation Incubator Demo Day
Final Event of the LMU Innovation Incubator Startup Program 2025
On behalf of the LMU Innovation and Entrepreneurship Center and the LMU Innovation Incubator, we cordially invite you to the forthcoming Demo Day of the Innovation Incubator’s 6th Edition. The LMU IEC Innovation Incubation program aims to enhance the entrepreneurial skills of our participants, who come from diverse academic backgrounds with a strong …
08
Apr
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Cafe • 08.04.2025 • Zentrum für Nationales Hochleistungsrechnen Erlangen NHR@FAU at RRZE, Martensstraße 1, Room 02.049, 91058 Erlangen
4:00 pm - 6:00 pm
Monthly HPC Café, in April About "Bayern KI – Resources and Support for AI Research in Bavaria"
Discussion, Contact and Training
Join the HPC Café of NHR@FAU, which complements the established contact channels and training offerings on every second Tuesday of the month. Starting with a short Q&A session, where you can ask and discuss anything HPC related, from running job scripts to performance issues there is also focus on a specific topic, either as a short talk or a …
03
Apr
Girls'Day • 03.04.2025 • LMU Main Building
9:00 am - 3:00 pm
Girls' Day 2025
Learn How AI Works and Influences Our World
Join us on April 3, 2025, for an exciting event designed specifically for girls and genderqueer children aged 11-15. This event will cover topics like recognizing fake news, understanding algorithmic bias, and discovering career opportunities in AI. The event includes three interactive workshops—one in English and two in German— with a lunch break …
02
Apr
Pitchtalk Series • 02.04.2025 • Ludwigstrasse 33, 1st floor, Seminar room of the Statistics Institute
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. …
01
Apr
©geralt - pixabay.com
Lecture • 01.04.2025 • Seminar Room 211b, 2/F, Ludwigstr. 28 (Front Building), 80539 Munich
10:00 am - 11:00 am
AI Writing Assistants’ Influence on User Opinions
Maurice Jakesch, Chair of Computational Social Science Lab, Bauhaus University Weimar
AI writing assistants powered by Large Language Models (LLMs) are increasingly used to support people’s writing. Can they impact people’s opinions in this process? We exposed participants writing about important societal issues to an AI writing assistant that provided biased autocomplete suggestions. When using the AI assistant, participants’ …