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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.

17

Dec

Link to Part 1: Dynamics of Strategic Agents and Algorithms as PDEs

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

4:00 pm - 5:30 pm

Part 1: Dynamics of Strategic Agents and Algorithms as PDEs

Franca Hoffmann, California Institute of Technology

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.

12

Dec

Link to On Optimal Treatment Regimes Assisted by Algorithms

AI Keynote Series  •  12.12.2024  •  Online via Zoom

12:00 pm - 1:30 pm

On Optimal Treatment Regimes Assisted by Algorithms

Mats Julius Stensrud, Chair of Biostatistics, Swiss Federal Institute of Technology Lausanne

Decision makers desire to implement decision rules that, when applied to individuals in the population of interest, yield the best possible outcomes. For example, the current focus on precision medicine reflects the search for individualized treatment decisions, adapted to a patient’s characteristics. In this presentation, the speaker will consider …

11

Dec

Link to Assumption-Lean (Causal) Modeling

Colloquium  •  11.12.2024  •  LMU Department of Statistics and via zoom

4:00 pm - 6:00 pm

Assumption-Lean (Causal) Modeling

Stijn Vansteelandt, Ghent University

Traditional inference in (semi-)parametric models, such as generalized linear models, typically assumes that the model is correctly specified and pre-determined. However, this approach is increasingly unsatisfactory because models are often selected adaptively based on the data, introducing unacknowledged uncertainty. Moreover, these models rarely …

11

Dec

Link to MCML Industry Pitchtalks With Munich Re

Pitchtalk Series  •  11.12.2024  •  Munich Re, Königinstr. 107, 80802 Munich

3:00 pm - 5:00 pm

MCML Industry Pitchtalks With Munich Re

Join Us for Networking and Insights

On December 11th, we will be invited to MunichRe for a Meetup in our series MCML Pitchtalks with Industry. Some of our junior members and research staff from MunichRe will show each others research on multimodality, uncertainty quantification and generative AI, with a special focus on LLMs in reinsurance. Join us for a lively meetup, and feel free …

05

Dec

Link to Ähren Im Wind – Political Orientation in Challenging Times

Panel  •  05.12.2024  •  Literaturhaus München, Salvatorplatz 1, 80333 Munich, Germany, In-Person and Live Stream

7:00 pm - 0:00 am

Ähren Im Wind – Political Orientation in Challenging Times

Alena Buyx, MCML/TUM
Hortensia Völckers, Director of the German Federal Cultural Foundation
Gert Scobel, Philosopher and TV Host

Philosopher and former State Minister Julian Nida-Rümelin celebrates his 70th birthday with the release of his memoir, reflecting on democracy, cultural civility, and the impact of humanism in countering fanaticism. Joined by Alena Buyx, Gert Scobel, and Hortensia Völckers, Nida-Rümelin will lead a thought-provoking discussion on the societal role …

05

Dec

Link to (Re-)Imagine

Open Lab Day  •  05.12.2024  •  Leibniz-Rechenzentrum, Boltzmannstraße 1, 85748 Garching bei München

5:30 pm - 9:30 pm

(Re-)Imagine

Open Lab Day at V2C

During an internship at the LRZ’s Centre for Virtual Reality and Visualisation (V2C) students of LMU and TUM gained in-depth experience in the development of interactive and immersive applications for VR installations such as the LED-CAVE at the LRZ. From the conception of a project idea to the finished application, the students worked on every step …

03

Dec

Link to Pedagogy Workshop

Workshop  •  03.12.2024  •  Marsstraße, near Munich Central Station

10:00 am - 12:00 pm

Pedagogy Workshop

Workshop for MCML Junior Members on Translating Research Into School-Ready Sessions

Are you interested in bringing your research to life in a classroom setting? We are pleased to invite you to an upcoming workshop designed to equip you with tools and strategies to translate your research into practical workshops for teachers and school classes. This hands-on event will take place on December 3, from 10:00 to 12:00, in collaboration …

02

Dec

Link to Lunch Talk: Machine Learning Based Time-to-Event Analysis

Lecture  •  02.12.2024  •  LMU Center for Advanced Studies, Seestraße 13, 80802 Munich

12:15 pm - 1:45 pm

Lunch Talk: Machine Learning Based Time-to-Event Analysis

With MCML Members Andreas Bender and Stefan Feuerriegel

In many applications the time until an event of interest occurs is an important endpoint. Due to the way such data is collected, however, the outcome of interest can often be observed only partially. Time-to-event analysis (also known as survival analysis) provides techniques to deal with such data. In this talk, we will discuss use-cases, …

28

Nov

Link to Content Curation in Online Platforms

AI Keynote Series  •  28.11.2024  •  Online via Zoom

4:00 pm - 5:30 pm

Content Curation in Online Platforms

Manoel Horta Ribeiro, Princeton University

Online platforms like Facebook, Wikipedia, Amazon, and Linkedin are embedded in the very fabric of our society. They “curate content”, moderate, recommend, and monetize it, and, in doing so, can impact people’s lives positively or negatively. In this talk, the sepaker will highlight the need to go beyond how these curation practices are currently …

25

Nov

Link to The Mathematical Universe Behind Deep Neural Networks

Munich AI Lectures  •  25.11.2024  •  Große Aula der LMU Geschwister-Scholl-Platz 1, Room 120 80539 München

5:15 pm - 8:00 pm

The Mathematical Universe Behind Deep Neural Networks

Helmut Bölcskei, ETH Zurich

Join us for the next Munich AI Lecture featuring renowned researcher Prof. Dr. Helmut Bölcskei from ETH Zurich, hosted by Prof. Dr. Gitta Kutyniok, Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at LMU. Professor Bölcskei will delve into the mathematical foundations that drive the success of deep neural networks, with …

25

Nov

Link to MCML Industry Pitchtalks With Allianz

Pitchtalk Series  •  25.11.2024  •  Allianz Campus Unterföhring, Dieselstr. 6, 85774 Unterföhring

9:00 am - 1:00 pm

MCML Industry Pitchtalks With Allianz

Join Us for Networking and Insights

On November 25th, we will visit Allianz Campus Unterföhring, for a Meetup in our series MCML Pitchtalks with Industry. This time, a group of our junior members and research staff from Allianz will build bridges from cutting-edge research at MCML to open questions in applications of generative AI, in business contexts. Feel free to reach out to Dr. …

22

Nov

Link to EPIX Workshop

Workshop  •  22.11.2024  •  LMU Munich (near main building, details tba)

9:00 am - 6:00 pm

EPIX Workshop

Epistemic Foundations and Limitations of Statistics and Science - Explaining the Replication Crisis?

This workshop is a joint initiative by the Open Science Initiative in Statistics (OSIS), at LMU’s Department of Statistics, and the Munich Center for Machine Learning. The aim of the workshop is to bring together statisticians, philosophers of science, and other interested researchers to discuss aspects of Open Science and the replication crisis …

20

Nov

Link to How Game-Theoretic Probability Makes Sense of Cournot's Principle

Colloquium  •  20.11.2024  •  LMU Department of Statistics and via zoom

4:00 pm - 6:00 pm

How Game-Theoretic Probability Makes Sense of Cournot's Principle

Glenn Shafer, Rutgers University

Sufficiently high probability is practical certainty. This maxim, now called Cournot’s principle, was repeated by scholars for centuries before Jacob Bernoulli made probability numerical, and it has been essential to statistical inference ever since. Cournot taught us that it is the only way probability theory makes contact with phenomena. We test …

20

Nov


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21

Nov

Link to Artificial Intelligence 2024

Handelsblatt Summit  •  20.11.2024 - 21.11.2024  •  House of Communication, Friedenstr. 24, 81671 München

Artificial Intelligence 2024

AI for Business: Balancing Vision and Value

Our PI Björn Ommer will be a speaker at the Handelsblatt Summit Artificial Intelligence 2024, which will be held under the motto “AI for Business: Balancing Vision and Value”. The event will cover both visionary aspects of AI and concrete strategies for the practical challenges of effective implementation in everyday business operations. This will …

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