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23

Jun

MCML Summit • Muffathalle

Link to MCML Munich AI Day 2026

MCML Munich AI Day 2026

MCML Celebrates Third Summit

We are pleased to invite you to this year’s MCML Munich AI Day on 23 June 2026. The event will bring together leading AI researchers from Germany and abroad, along with policymakers, industry experts, …

23

Jun

Career Fair • Muffathalle

Link to MCML Career Fair — Munich AI Day

MCML Career Fair — Munich AI Day

Exploring the Job Market

Join us at the MCML Career Fair, taking place on the morning of the Munich AI Day at the Muffathalle from 10:00 to 12:00.

This year, we are delighted to welcome four leading companies to connect with …

22

Jun

Workshop • Muffathalle

Link to Pre AI Day Workshop

Pre AI Day Workshop

NVIDIA Presents Its Latest Research

We invite all MCML Members for this exclusive event as a pre AI Day Workshop: NVIDIA presents its latest research.

14:00–14:10: Welcome by MCML, NVIDIA and BayernKI 14:10-14:30: Introduction to …

16

Jun

Lecture • LMU Munich

Link to Mean Estimation and Beyond

Mean Estimation and Beyond

Shahar Mendelson, Texas A&M University

The Center for Advanced Studies (CAS) is hosting a lecture by Shahar Mendelson from Texas A&M University.

12

Jun

Lecture • LMU Munich

Link to Analyzing Feature Interactions Through Local Effects in Machine Learning Models

Analyzing Feature Interactions Through Local Effects in Machine Learning Models

Giuseppe Casalicchio, MCML Junior Member

The Center for Advanced Studies (CAS) is hosting a lecture by MCML Junior Member Giuseppe Casalicchio from LMU Statistics.

11

Jun

MCML Stammtisch • Atzinger Wirtshaus

Link to MCML Stammtisch - June Edition

MCML Stammtisch - June 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, 11th of June, at 6 pm, at the Atzinger Wirtshaus. If you would like to join, please register here. We are looking …

11

Jun


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12

Jun

Conference • Paris

Link to PCAIDE 2026

PCAIDE 2026

The Paris Conference on AI & Digital Ethics

PCAIDE is the leading research conference on the ethical and societal challenges of AI and digital technologies. It is also an annual meeting for leaders from the public and private sectors, …

10

Jun

Colloquium • LMU Munich

Link to Causal Inference on Outcomes Learned From Text

Causal Inference on Outcomes Learned From Text

Jann Spiess, Stanford University

This lecture introduces a machine learning method that investigates causal effects in randomized controlled trials using text data. The tool answers three key questions: whether an intervention …

02

Jun

Plenary Sessions • LRZ

Link to The Trillion Parameter Consortium

The Trillion Parameter Consortium

Satellite Event at LRZ

The Satellite Event at LRZ - The Trillion Parameter Consortium, is for all who aren’t able to make it to TPC26 in the US. Join it in Garching, Germany to watch the TPC26 plenary sessions at Leibniz …

01

Jun

Workshop • Vienna

Link to Workshop RAMI @ICRA 2026

Workshop RAMI @ICRA 2026

4th Workshop on Robot-Assisted Medical Imaging

Medical imaging plays a vital role in modern clinical practice, providing valuable information for diagnosis and image-guided procedures. This workshop focuses on the latest advances in robot-assisted …

28

May


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29

May

Tri-State Venture Sprint • Munich

Link to From Frontier Research to Real-World Impact

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 …

27

May

Colloquium • LMU Munich

Link to Building Data Analysis Proofs

Building Data Analysis Proofs

Roger Peng, University of Texas at Austin

The lecture describes how data analyses are often performed as a sequence of imperative commands, the publication of which is crucial for reproducibility. However, code and results alone are …

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