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18

Feb

Link to Unveiling the Cosmos: Deep Learning Solutions to Inverse Problems in Astrophysics

Munich AI Lectures  •  18.02.2025  •  Senatssaal, Geschwister-Scholl-Platz 1, Ludwig-Maximilians-Universität München

5:00 pm - 6:30 pm

Unveiling the Cosmos: Deep Learning Solutions to Inverse Problems in Astrophysics

Prof. Dr. Jean-Luc Starck, CEA-Saclay, France

Join us for the next Munich AI Lectures featuring Prof. Dr. Jean-Luc Starck from the CosmoStat Laboratory, CEA CEA-Saclay, France. Prof. Starck will present “Unveiling the Cosmos: Deep Learning Solutions to Inverse Problems in Astrophysics.”
The lecture will explore how deep learning is transforming the analysis of astrophysical inverse problems, …

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 …

13

Feb

Link to Generative AI With Diffusion Models

Virtual Workshop on Generative AI with Diffusion Models  •  13.02.2025  •  Virtual

9:00 am - 5:00 pm

Generative AI With Diffusion Models

Virtual Workshop From Nvidia

Generative AI plays a significant role across industries. In this course, learners will take a deeper dive into denoising diffusion models.

12

Feb

Link to Fundamentals of Accelerated Data Science With RAPIDS

Virtual Workshop on Data Science with RAPIDS  •  12.02.2025  •  Virtual

9:00 am - 5:00 pm

Fundamentals of Accelerated Data Science With RAPIDS

Virtual Workshop From Nvidia

In this workshop, you’ll learn how to build and execute end-to-end GPU-accelerated data science workflows. Using the RAPIDS™-accelerated data science libraries, you’ll apply a wide variety of GPU-accelerated machine learning algorithms for data analysis.

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.

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


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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.

03

Feb

Link to Open Lab Day 2025

Open Lab Day  •  03.02.2025  •  Frauenlobstr. 7a, Munich

6:00 pm - 9:30 pm

Open Lab Day 2025

Visit the Media Informatics Group @LMU

On February 3, 2025, at 6 pm, the Media Informatics Teaching and Research Unit at LMU Munich will open its doors to interested parties from industry and research, students and prospective students, family and friends. The employees will show their current research work and students will present the results of their semester projects. Current …

30

Jan

Link to Transforming Healthcare With AI

Lecture  •  30.01.2025  •  Rosenheimer Str. 116A, Munich

6:00 pm - 9:30 pm

Transforming Healthcare With AI

Med-Dev.org X TUM.ai Event

Join an exciting evening where artificial intelligence meets medicine! Organized by med-dev.org in collaboration with TUM.ai, this event will showcase how AI is reshaping healthcare as we know it.

29

Jan

Link to Grand Opening of AI-HUB@LMU

Grand Opening  •  29.01.2025  •  LMU München, Große Aula, Geschwister-Scholl-Platz 1, 80839 München

6:00 pm - 9:00 pm

Grand Opening of AI-HUB@LMU

Cross-Faculty Platform for Artificial Intelligence and Data Science

Join the launch of AI-HUB@LMU, a new interdisciplinary platform dedicated to advancing AI and Data Science at LMU Munich! This event marks a significant step in fostering AI research, collaboration, and innovation across all 18 LMU faculties. Come and celebrate this milestone with AI-HUB@LMU!

29

Jan

Link to A Novel Statistical Approach to Analyze Image Classification

Colloquium  •  29.01.2025  •  LMU Department of Statistics and via zoom

4:00 pm - 6:00 pm

A Novel Statistical Approach to Analyze Image Classification

Sophie Langer, University of Twente

Convolutional neural networks (CNNs) excel in image recognition, showcasing remarkable performance in face recognition, medical diagnosis, and autonomous driving. However, their reliability remains a concern due to the lack of robust theoretical foundations. Establishing a solid statistical framework is essential before we can fully analyse CNNs …

29

Jan

Link to AI Interacting With People (Through Language)

Lecture at MaiNLP Lab  •  29.01.2025  •  LMU Munich, Main Building, Geschwister-Scholl-Platz 1, Room M 105

4:00 pm - 5:00 pm

AI Interacting With People (Through Language)

Hal Daumé III, Professor, University of Maryland

I’ll discuss three projects related to understanding how people and AI-infused systems can and should interact. In the first, I’ll discuss AI communicating to people, in a shared environment, and how we can use highlighting and possible alternatives as a way to combat confabulations (aka hallucinations). In the second, I’ll discuss people …

28

Jan

Link to Beyond Translation: Human-Centered NLP for Cross-Lingual Communication

Lecture at MaiNLP Lab  •  28.01.2025  •  LMU Munich, Main Building, Geschwister-Scholl-Platz 1, Room A 140

2:00 pm - 3:00 pm

Beyond Translation: Human-Centered NLP for Cross-Lingual Communication

Marine Carpuat, Associate Professor, University of Maryland

How can we develop NLP technology to effectively support cross-lingual communication, especially given recent progress in machine translation and multilingual language models? In this talk, I will present two main threads of work that aim to broaden the scope of machine translation to more directly support people’s needs. In the first thread, I’ll …

15

Jan

Link to Additive Density-on-Scalar Regression in Bayes Hilbert Spaces With an Application to Gender Economics

Colloquium  •  15.01.2025  •  LMU Department of Statistics and via zoom

4:00 pm - 6:00 pm

Additive Density-on-Scalar Regression in Bayes Hilbert Spaces With an Application to Gender Economics

Sonja Greven, HU Berlin

This talk introduces a novel approach to modeling densities influenced by scalar covariates using structured additive regression models in Bayes Hilbert spaces. This framework handles continuous, discrete, and mixed densities, ensuring nonnegativity and integration to one. An application to gender economics data explores the distribution of a …

15

Jan

Link to LRZ and Cerebras Online Workshop

Workshop  •  15.01.2025  •  Online via zoom

10:00 am - 11:30 am

LRZ and Cerebras Online Workshop

Exploring Cerebras Systems’ Latest Technological Innovations

Join an exclusive 90-minute online workshop hosted by the Leibniz Supercomputing Centre (LRZ) and Cerebras Systems on January 15, 2025, at 10 AM CET. At this workshop, the Cerebras team will present their latest technological advancements and describe how their new technology can influence both the creation and usage of AI. Cerebras’s technology is …

09

Jan

Link to Experimental Designs for a/B Testing in Marketplaces

AI Keynote Series  •  09.01.2025  •  Online via Zoom

12:00 pm - 1:30 pm

Experimental Designs for a/B Testing in Marketplaces

Chengchun Shi, Department of Statistics, London School of Economics and Political Science

Time series experiments, in which experimental units receive a sequence of treatments over time, are frequently employed in many technological companies to evaluate the performance of a newly developed policy, product, or treatment relative to a baseline control. Many existing A/B testing solutions assume a fully observable experimental environment …

19

Dec

Link to MCML Stammtisch - December Edition

MCML Stammtisch  •  19.12.2024  •  Türkenhof, Türkenstrasse 78, Munich

6:00 pm - 8:00 pm

MCML Stammtisch - December Edition

Join Us for an Evening of Connection and Conversation

We heartily invite to the next MCML-Stammtisch edition, taking place on Thursday, December 19th, at 6pm, at Türkenhof, Türkenstrasse 78, Munich (very close to “U3 Universität”). Happy to see you there.

17

Dec

Link to Part 2: Learning, Reasoning and Optimisation: Adversarial Robustness of Neural Networks

Munich AI Lectures  •  17.12.2024  •  Senatssaal, LMU Munich Geschwister-Scholl-Platz 1 Munich

5:30 pm - 7:00 pm

Part 2: Learning, Reasoning and Optimisation: Adversarial Robustness of Neural Networks

Holger Hoos, RWTH Aachen University

We are thrilled to invite you to the upcoming Munich AI Lecture featuring two distinguished researchers Prof. Holger Hoos from RWTH Aachen University and Prof. Franca Hoffmann from California Institute of Technology. The lecture is organized by the Chair of Mathematics of Information Processing with support by MCML.

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