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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 …

13

Nov

Link to MCML Industry Pitchtalks With Se3labs

Pitchtalk Series  •  13.11.2024  •  Plug and Play Tech Center, around Marienplatz

5:00 pm - 8:00 pm

MCML Industry Pitchtalks With Se3labs

Join Us for Networking and Insights

We are excited to announce the kick-off of our MCML Industry Pitchtalks series. Join us for a meetup featuring engaging talks from some of our junior members and representatives from the company se3labs, which specializes in computer vision, natural language processing (NLP), and multimodality. This event will include food and networking, providing a …

13

Nov

Link to The Complexities of Differential Privacy for Survey Data

Colloquium  •  13.11.2024  •  LMU Department of Statistics and via zoom

4:00 pm - 6:00 pm

The Complexities of Differential Privacy for Survey Data

Jörg Drechsler, IAB, LMU

The concept of differential privacy gained substantial attention in recent years, most notably since the U.S. Census Bureau announced the adoption of the concept for the 2020 Decennial Census. However, despite its attractive theoretical properties, implementing the approach in practice is challenging, especially when it comes to survey data. In …

08

Nov


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09

Nov

Link to 3rd Bootcamp "AI Meets Entrepreneurs"

Bootcamp  •  08.11.2024 - 09.11.2024  •  LMU Main Building, Kleine Aula and RAW, Herzog-Wilhelm-Str. 15, 80331 Munich

5:00 pm - 6:15 pm

3rd Bootcamp "AI Meets Entrepreneurs"

Shaping the Future of AI Medicine & Healthcare

The MCML is organizing together with impACTup! and LMU Media Informatics Group a two-part event to shift ML and AI researchers into an entrepreneurial mindset. With input from experts and hands-on experience, we want to highlight the opportunities and challenges that a career as a founder and entrepreneur can hold in contrast to traditional …

06

Nov

Link to LRZ AI Training Series

Workshop  •  06.11.2024  •  online

10:00 am - 5:00 pm

LRZ AI Training Series

Introduction to Container Technology & Application to AI at LRZ

This course is part of the “LRZ AI Training Series”, a series of courses aiming at the needs and expectations of data analytics, big data & AI users at LRZ. The aim of this course is to give an overview of the LRZ AI Systems, and provide participants with the knowledge and skills necessary to efficiently utilise them. The course consists of …

04

Nov

Link to MCML General Assembly

General Assembly  •  04.11.2024  •  Bavarian Academy of Sciences and Humanities (BAdW), Alfons-Goppel-Straße 11, 80539 Munich

1:00 pm - 5:00 pm

MCML General Assembly

Open for All MCML Members

We are pleased to invite all MCML members to the 2024 MCML General Assembly. The program will include highlights from the MCML directors, presentations from the Young Academy, flash talks by our junior members, and the introduction of candidates for the Diversity Representative positions. The assembly will also provide an opportunity for networking …

23

Oct

Link to Planetary Causal Inference: Understanding Society and Economy Through Earth Observation

Colloquium  •  23.10.2024  •  LMU Department of Statistics and via zoom

4:00 pm - 6:00 pm

Planetary Causal Inference: Understanding Society and Economy Through Earth Observation

Connor Jerzak, University of Texas

The book “Planetary Causal Inference” explores how Earth observation (EO) data can enhance social science research, advancing our understanding of human impact on the environment, society, and economy. While traditional methods using surveys and national statistics can be costly and limited, EO data from satellites offers a global, real-time per- …

23

Oct

Link to LRZ AI Training Series - Part 2

Workshop  •  23.10.2024  •  online

10:00 am - 4:00 pm

LRZ AI Training Series - Part 2

Introduction to Container Technology & Application to AI at LRZ

This course is part of the “LRZ AI Training Series”, a series of courses aiming at the needs and expectations of data analytics, big data & AI users at LRZ. Since the introduction of docker back in 2013, container technology has become the industry standard for software packaging, distribution, and deployment. Participants will roll up their …

23

Oct

Link to Stakeholder Workshop on AI Research and Collaborations With North America

Workshop  •  23.10.2024  •  Mathematics & Informatics building Garching, Sitzungsraum 1

9:30 am - 3:00 pm

Stakeholder Workshop on AI Research and Collaborations With North America

Exploring AI Research Collaborations Between TUM and North America

The TUM School of Computation, Information and Technology, in collaboration with TUM Global & Alumni Office and the Munich Center for Machine Learning (MCML), is hosting a stakeholder workshop on AI research and partnerships with North America. This event will bring together AI researchers from across TUM to explore current and potential …

19

Oct


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20

Oct

Link to MCML-Exhibition at Deutsches Museum

Exhibition  •  19.10.2024 - 20.10.2024  •  Deutsches Museum Munich

12:00 pm - 1:00 am

MCML-Exhibition at Deutsches Museum

Explore Our MCML-Exhibition During the Long Night of Munich Museums

The exhibition offers an insight into current research on Artificial Intelligence. MCML researchers will be on site to explain how AI works and answer questions. For the 25th time, the motto will be “More museum for everyone!” From 6 pm to 1 am, more than 100 institutions are opening their doors and inviting visitors to experience art and culture, …

18

Oct

Link to MCML Stammtisch - October Edition

MCML Stammtisch  •  18.10.2024  •  Türkenhof, Türkenstrasse 78, Munich

6:00 pm - 8:00 pm

MCML Stammtisch - October Edition

Join Us for an Evening of Connection and Conversation

We heartily invite to the next MCML-Stammtisch edition, taking place on Friday, October 18th, at 6pm, at Türkenhof, Türkenstrasse 78, Munich (very close to “U3 Universität”). Happy to see you there. It will be especially nice since we will have our PhD Onboarding earlier that day, and we will be able to meet, greet, and welcome our new MCML PhD …

18

Oct

Link to PhD Onboarding Winter Semester 2024/2025

PhD Onboarding  •  18.10.2024  •  LMU Department of Statistics, Ludwigstr. 33, Room 144 (1st floor)

4:00 pm - 5:30 pm

PhD Onboarding Winter Semester 2024/2025

MCML Welcomes Its New PhDs

The Onboarding is mainly for MCML PhDs who have joined since the last session in April 2024, but it’s also open to anyone who couldn’t attend last time. We’ll kick things off with an introduction to MCML and an overview of the program elements. After the official part, you’re invited to join us for an informal gathering. This time, our get-together …

17

Oct


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18

Oct

Link to HerCAREER Expo

Career and Networking Event  •  17.10.2024 - 18.10.2024  •  MOC Veranstaltungscenter Munich, Lilienthalallee 40, 80939 Munich

HerCAREER Expo

MCML PIs Frauke Kreuter Und Gitta Kutyniok as Role Models

The MCML PIs Frauke Kreuter and Gitta Kutyniok will be guest speakers at this year’s herCAREER Expo. This expo is a networking and career event dedicated to achieving equality and fairness between genders in the professional world. Visitors and job seekers can expect a wide range of companies, presentations, and inspiring panels featuring speakers …

14

Oct

Link to KI - Der Anfang Vom Ende Oder Einfach Nur Nützlich?

Presentation  •  14.10.2024  •  Bergson Kunstkraftwerk Studio, Rupert-Bodner-Str. 5, 81245 München

7:00 pm - 9:00 pm

KI - Der Anfang Vom Ende Oder Einfach Nur Nützlich?

Reinhard Heckel, MCML/TUM
Constanze Zawadzky, Innovation Park AI

Together with Constanze Zawadzky (Innovation Park AI), our PI Reinhard Heckel will give interested parties an insight into the world of artificial intelligence. In addition to the basics of artificial intelligence, exciting questions about applications, opportunities, and the future of AI will be addressed.

10

Oct

Link to Women in Data Science Munich

Conference  •  10.10.2024  •  Bayerischer Rundfunk, Rundfunkplatz 1, 80335 Munich

2:00 pm - 6:00 pm

Women in Data Science Munich

Organized by LMU, TUM, MDSI BERD@NFDI, TUM Think Tank and SIXT SE

Join us for the WiDS Munich Conference on October 10 at Bayerischer Rundfunk in Munich! The event kicks off at 2:00 PM with an opening session and features a variety of exciting talks and technical presentations on topics such as data journalism, machine learning, and artificial intelligence. While the conference highlights the achievements of women …

09

Oct

Link to LRZ AI Training Series - Part 1.2

Workshop  •  09.10.2024  •  online

10:00 am - 4:00 pm

LRZ AI Training Series - Part 1.2

Orientation Session Day 2

This two-day “Orientation Session” on 7. & 9.10.2024 is the kick-off event of the “LRZ AI Training Series”, a series of courses aiming at the needs and expectations of data analytics, big data & AI users at LRZ. While focusing on these particular users and their use cases, this session as well as all other courses offered as part of the AI …

08

Oct

Link to Medizinethik – Ethische Fragen Im Krankenhaus, in Der Forschung Und in Der Politik

Lecture  •  08.10.2024  •  Online via Zoom

7:30 pm - 9:00 pm

Medizinethik – Ethische Fragen Im Krankenhaus, in Der Forschung Und in Der Politik

Alena Buyx, MCML/TUM

Our PI Alena Buyx will introduce the topic of medical ethics and its relevant fields in the context of contemporary questions. Furthermore, significant cases in this ethical discipline will be discussed.

07

Oct

Link to LRZ AI Training Series - Part 1.1

Workshop  •  07.10.2024  •  online

10:00 am - 4:00 pm

LRZ AI Training Series - Part 1.1

Orientation Session Day 1

This two-day “Orientation Session” on 7. & 9.10.2024 is the kick-off event of the “LRZ AI Training Series”, a series of courses aiming at the needs and expectations of data analytics, big data & AI users at LRZ. While focusing on these particular users and their use cases, this session as well as all other courses offered as part of the AI …

07

Oct


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11

Oct

Link to Online Machine Learning School 2024

Online School  •  07.10.2024 - 11.10.2024  •  Online

Online Machine Learning School 2024

LMU Clinics

On behalf of the Precision Psychiatry Group at LMU Clinics, we inform you about their Online Machine Learning School for clinicians and researchers in the field of psychiatry and neuroscience. The event offers seminars and data science advice, as well as hands-on tutorials held by professionals to close the gap between clinical practice and …

03

Oct

Link to The MCML at Open Day Campus Garching

TUM Open Day  •  03.10.2024  •  TUM, Boltzmannstraße 3, 85748 Garching bei München

10:00 am - 5:00 pm

The MCML at Open Day Campus Garching

Experience Research Up Close for a Whole Day

Join us at the Open Day Campus Garching and gain insights into our research.

26

Sep

Link to Generative AI

Lecture  •  26.09.2024  •  LRZ Kommissionsraum and online via zoom

2:00 pm - 3:00 pm

Generative AI

Geetika Gupta, Nvidia

The intersection of generative AI and science is revolutionizing research and discovery across various scientific disciplines. Generative AI, capable of creating new content based on learned patterns, accelerates hypothesis generation, drug discovery, material design, and personalized medicine by simulating experiments and predicting outcomes. It …

25

Sep

Link to Join Us for the DSSGxMunich Closing Ceremony

Closing Ceremony  •  25.09.2024  •  Bayrische Akademie der Wissenschaften, Rupert-Bodner-Str. 5, 81245 München

4:00 pm - 8:00 pm

Join Us for the DSSGxMunich Closing Ceremony

Uli Köppen, AI + Automation Lab and BR

The DSSGx 2024 Munich program has come to an end. At the closing ceremony, our outstanding fellows will showcase the impressive projects and outcomes they achieved over the course of the program. Uli Köppen, Head of the AI + Automation Lab and Co-Lead of the investigative data team BR Data at the German public broadcaster Bayerischer Rundfunk, will …

25

Sep


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01

Oct

Link to MCML Workshop on Reproducibility and Scientific Computing

Workshop  •  25.09.2024 - 01.10.2024  •  LMU Munich, tba

MCML Workshop on Reproducibility and Scientific Computing

Organized by Our Transfer Coordinators Moritz Herrmann and Martin Binder

Join us for an intensive 5-day workshop on computational reproducibility and scientific computing organized by the MCML. Each day runs from approximately 9:00 AM to 5:00 PM, starting with lecture-style sessions in the morning. After a lunch break, most afternoons will be dedicated to hands-on tutorials, where you can apply the concepts learned in …

23

Sep


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26

Sep

Link to INTERpretability Workshop

Workshop  •  23.09.2024 - 26.09.2024  •  Leibniz Institute for Prevention Research and Epidemiology – BIPS, Achterstraße 30, 28359 Bremen, Room 1550

INTERpretability Workshop

INTERACT #2

The upcoming three-day INTERACT workshop on Interpretable Machine Learning (IML) builds upon the success of last year’s inaugural workshop. Originally initiated to strengthen collaboration between research groups from LMU Munich and BIPS, as well as participants of the IML journal club, the workshop has since expanded to include researchers from …

19

Sep

Link to Informatiklehrerinnen- Und Lehrertag Bayern 2024

Talk  •  19.09.2024  •  Marsstraße 20-22, 80335 München

8:30 am - 5:00 pm

Informatiklehrerinnen- Und Lehrertag Bayern 2024

Steffen Schneider, Helmholtz

MCML Associate Steffen Schneider will give a keynote talk about AI in the context of teaching at the ILTB 24. Following the premise “Explore AI, Understand AI, Evaluate AI, and Develop (with) AI”, he will address the use of AI in education as a tool and discuss potential ways to teach about it. The event is aimed at Bavarian computer science …

18

Sep


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19

Sep

Link to KonKIS 2024

Conference  •  18.09.2024 - 19.09.2024  •  Göttingen, Alte Mensa

KonKIS 2024

First Conference of the German AI Service Centers

KonKIS, the first conference of the German AI service centers, will take place in Göttingen on 18-19 September. This year’s focus is on AI in healthcare and the energy sector. The conference is aimed at researchers and interested parties from science and industry, especially from small and medium-sized enterprises with a need for computing power and …

12

Sep


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13

Sep

Link to The Ethics of Generative AI & Conversational Agents

Conference  •  12.09.2024 - 13.09.2024  •  LMU Munich, Bayerische Staatssammlung für Paläontologie und Geologie, Richard Wagner-Straße 10, 80333 Munich, Room 105

The Ethics of Generative AI & Conversational Agents

LMU’s AI Ethics Research Group, in Cooperation With the MCML, Invites for a Two-Day Conference

This conference explores ethical issues posed by generative artificial intelligence and conversational agents. It brings together academic researchers and AI ethics practitioners to examine the ethics of generative AI in general, as well as studying the specific challenges this new technology poses in industrial settings.

10

Sep


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13

Sep

Link to German Conference on Pattern Recognition 2024 (GCPR-VMV 2024)

Conference  •  10.09.2024 - 13.09.2024  •  TUM Campus Garching, Boltzmannstrasse 3

German Conference on Pattern Recognition 2024 (GCPR-VMV 2024)

Co-Organized by MCML

The German Conference on Pattern Recognition (GCPR) is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series, which has been renamed to GCPR in 2013 to …

09

Sep

Link to Extrapolation-Aware Nonparametric Statistical Inference

Talk  •  09.09.2024  •  Ludwigstr. 28, Room 211B, 80539 Munich

4:00 pm - 5:30 pm

Extrapolation-Aware Nonparametric Statistical Inference

Niklas Pfister, University of Copenhagen

Niklas Pfister from the University of Copenhagen will give a talk titled Extrapolation-Aware Nonparametric Statistical Inference. Extrapolation occurs in many data analysis applications and can invalidate the resulting conclusions if not taken into account. Formally, extrapolation refers to any type of statistical inference on a conditional function …

09

Sep


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13

Sep

Link to Open Science Summer School 2024

Summer School  •  09.09.2024 - 13.09.2024  •  Max Planck Digital Library, Landsberger Str. 346, 80687 München and online (via Zoom)

Open Science Summer School 2024

Make Your Research More Transparent, Reproducible and Credible

The LMU Open Science Center and the Max Planck Digital Library jointly present the five-day Open Science Summer School 2024 in a hybrid format. The event aims to give young researchers from all disciplines the opportunity to gain more confidence in their own research.

09

Sep


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13

Sep

Link to Cambridge AI in Medicine Summer School 2024

Cambridge AI in Medicine Summer School  •  09.09.2024 - 13.09.2024  •  Online via Zoom

Cambridge AI in Medicine Summer School 2024

Van Der Schaar Lab

The University of Cambridge is organizing the Cambridge AI in Medicine Summer School 2024, featuring our PI Stefan Feuerriegel as a speaker. The course is tailored to physicians, medical students, and other clinicians with little to no prior knowledge of AI in general or its applications in medicine. Over 20 speakers will share their expertise and …

16

Aug

Link to How to "Improve" Prediction Using Behavior Modification

Lecture  •  16.08.2024  •  LMU Munich, Lecture Hall S 002, Ground Floor, Schellingstr. 3, 80799 Munich

2:30 pm - 3:30 pm

How to "Improve" Prediction Using Behavior Modification

Galit Shmueli, National Tsing Hua University, Taiwan

Galit Shmueli will explore how internet platforms leverage behavioral data to predict user behavior, both for internal purposes and for their business clients, such as advertisers, insurers, and governments. Achieving high predictive accuracy is essential, and data scientists are continually developing advanced algorithms and utilizing more …

08

Aug

Link to Auditing Fairness Under Unobserved Confounding

AI Keynote Series  •  08.08.2024  •  Online via Zoom

4:00 pm - 5:30 pm

Auditing Fairness Under Unobserved Confounding

Michael Oberst, Johns Hopkins University

Inequity in resource allocation has been well-documented in many domains, such as healthcare. Causal measures of equity / fairness seek to isolate biases in allocation that are not explained by other factors, such as underlying need. However, these fairness measures require the (strong) assumption that we observe all relevant indicators of need, an …

07

Aug

Link to 3rd MCML Workshop on Causal Machine Learning

Workshop  •  07.08.2024  •  LMU Munich, Professor-Huber-Platz 2, W201

11:00 am - 8:00 pm

3rd MCML Workshop on Causal Machine Learning

Organized by Our PI Stefan Feuerriegel and His Team

Causal inference has become highly important in many fields, such as medicine or marketing, and has received increasing attention from researchers in machine learning in recent years. The MCML Workshop in Causal Machine Learning invites causal ML researchers to present their work. The workshop aims to bring together researchers from different …

06

Aug


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07

Aug

Link to TUM Entdeckerinnen: STEM Experience at University

TUM Open Day - Workshop  •  06.08.2024 - 07.08.2024  •  See course information

9:30 am - 4:00 pm

TUM Entdeckerinnen: STEM Experience at University

Workshops for the Summer Vacation

This year 29 free projects are available exclusively for girls and young women at the summer program “TUM Explorers: STEM Experience at University”. As part of the program, the chair of our PI Matthias Althoff will be represented with the workshop “Discover the World of Modular Robots”. Girls from the 5th and 6th grades will have the opportunity to …

29

Jul

Link to Can We Think Better, Faster, and Deeper With ChatGPT?

Panel  •  29.07.2024  •  CDTM, Marsstraße 20, 80335 Munich

6:15 pm - 7:45 pm

Can We Think Better, Faster, and Deeper With ChatGPT?

Panel Discussion With Our PI Albrecht Schmidt at the CDTM in Munich

Join our PI Albrecht Schmidt and other leading researchers for an engaging panel discussion on the future of Artificial Intelligence (AI) at the CDTM in Munich. ​They will come together to explore how AI can(not) amplify our cognition. Can we think better, faster, and deeper with AI? ​Gain insights from an interesting panel discussion between leading …

25

Jul

Link to Responsible Research 2024

Workshop  •  25.07.2024  •  LMU Munich, Biomedical Center and Biocenter, Großhaderner Straße 9, 82152 Planegg

12:00 pm - 6:00 pm

Responsible Research 2024

For Next-Generation Researchers

In order to promote ethical research practices, MCML, together with other members of the Life Science Munich Network of graduate programs and the Graduate Center LMU, supports the event on responsible conduct in research. All researchers are obliged to conform to the rules and prinicples of Good Scientific Practice, as dictated by institutional …

25

Jul

Link to Cerebras Workshop at LRZ

Workshop  •  25.07.2024  •  Leibniz Supercomputing Centre (LRZ), Garching

9:00 am - 4:15 pm

Cerebras Workshop at LRZ

Transform Your Research With WSE2

This special event for all MCML researchers will showcase the upgraded Cerebras CS-2 system now available at LRZ and unveil its new operational model. The Cerebras CS-2 is a specific AI system built around the world’s largest chip, the Wafer Scale Engine (WSE). It contains 850,000 AI-optimized cores and 40 GB of on-chip memory (SRAM) and achieves …

22

Jul

Link to Multi-Modal and Multi-Robot Coordination in Challenging Environments

Munich AI Lectures  •  22.07.2024  •  TUM Garching Campus, FMI Building, Hörsaal 2 (00.04.011), Boltzmannstr. 3, 85748 Garching bei München or online via Livestream

3:00 pm - 4:00 pm

Multi-Modal and Multi-Robot Coordination in Challenging Environments

Sebastian Scherer, Carnegie Mellon University (CMU)

On behalf of our partners at the Bavarian AI network baiosphere, the MCML cordially invites you to the Munich AI Lectures. Sebastian Scherer, Associate Research Professor at the Robotics Institute (RI) at Carnegie Mellon University (CMU), will outline some of their approaches, progress, and results on multi-modal sensing, providing nuanced …

18

Jul

Link to Representation Learning: A Causal Perspective

AI Keynote Series  •  18.07.2024  •  Online via Zoom

5:00 pm - 6:30 pm

Representation Learning: A Causal Perspective

Yixin Wang, University of Michigan

Representation learning aims to create low-dimensional representations that capture essential features of high-dimensional data, such as images and texts. Ideally, these representations should efficiently capture meaningful, non-spurious features and be disentangled for interpretability. However, defining and enforcing these qualities is …

17

Jul

Link to We Are (Still?) Not Giving Data Enough Credit

Munich AI Lectures  •  17.07.2024  •  Bayerische Akademie der Wissenschaften, Plenarsaal, 1. Stock, Alfons-Goppel-Straße 11, 80539 München

6:00 pm - 8:00 pm

We Are (Still?) Not Giving Data Enough Credit

Alexei A. Efros, UC Berkeley

On behalf of our partners at the Bavarian AI network baiosphere, the MCML cordially invites you to the first Highlight Lecture of the year as part of the Munich AI Lectures. For most of Computer Vision’s existence, the focus has been solidly on algorithms and models, with data treated largely as an afterthought. Onlyrecently did the discipline …

17

Jul


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18

Jul

Link to ELLIS Workshop

Workshop  •  17.07.2024 - 18.07.2024  •  Bayerische Akademie der Wissenschaften, Plenarsaal, 1. Stock, Alfons-Goppel-Straße 11, 80539 München

ELLIS Workshop

Open Problems in Computer Vision and Generative Modelling

Our PI Björn Ommer is the organizer of the international ELLIS Workshop on Open Problems in Computer Vision and Generative Modelling. The workshop will focus on major challenges and promising research directions in computer vision. In addition to lectures by leading experts, the aim is to create an atmosphere of lively discussions and professional …

16

Jul

Link to Nachgefragt – Ethikgespräche an Der LMU: Kann ChatGPT Denken?

Lecture  •  16.07.2024  •  LMU Munich, Main Building, M 210 und online via Zoom

7:30 pm - 9:00 pm

Nachgefragt – Ethikgespräche an Der LMU: Kann ChatGPT Denken?

David Lauer, University of Kiel

In 1950, British mathematician Alan Turing proposed a now-famous test to determine if a machine can think: a machine should be considered thinking if it can converse with humans in such a way that its responses are indistinguishable from those of a real person. For decades, this seemed like science fiction, but in the past two years, we’ve been …

16

Jul

Link to Privacy, Data Privacy, and Differential Privacy

Colloquium  •  16.07.2024  •  LMU Department of Statistics and via zoom

11:00 am - 11:00 am

Privacy, Data Privacy, and Differential Privacy

James Bailie, Harvard University

This talk invites inquisitive audiences to explore the intricacies of data privacy, tracing its origins from the late 19th century to its critical importance in the digital age. It examines Differential Privacy (DP) as a significant advancement in balancing data privacy with utility, highlighting the challenges and misconceptions that arise, …

16

Jul

Link to Methodological Advances in Experimental Design

Lecture  •  16.07.2024  •  LMU Munich, Seminar Room 211, 2/F, Ludwigstr. 28 (Front Building)

11:00 am - 12:30 pm

Methodological Advances in Experimental Design

Drew Dimmery, Hertie School Data Science Lab

Drew Dimmery will discuss methodological advances in experimental design, emphasizing resolving issues before data collection. They will cover three key areas: enhancing treatment assignment for better generalization of causal effects, improving the estimation of heterogeneous treatment effects by connecting design to the MAXCUT problem, and …

15

Jul

Link to Physical AI: Promises and Challenges

Munich AI Lectures  •  15.07.2024  •  TU Munich, Institute for Advanced Study, Auditorium (Ground floor), Lichtenbergstraße 2a, 85748 Garching

5:00 pm - 7:00 pm

Physical AI: Promises and Challenges

Daniela Rus, Massachusetts Institute of Technology (MIT)

On behalf of our partners at the Bavarian AI network baiosphere, the MCML cordially invites you to the Munich AI Lectures. Daniela Rus, Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, will discuss recent developments in machine learning and robotics, focusing on how machines think, how they are designed, and …

10

Jul

Link to Variational Learning for Large Deep Networks

Colloquium  •  10.07.2024  •  LMU Department of Statistics and via zoom

3:15 pm - 4:45 pm

Variational Learning for Large Deep Networks

Thomas Möllenhoff, RIKEN, Tokyo

Thomas Möllenhoff presents extensive evidence against the common belief that variational Bayesian learning is ineffective for large neural networks. First, he shows that a recent deep learning method called sharpness-aware minimization (SAM) solves an optimal convex relaxation of the variational Bayesian objective. Then, he demonstrates that a …

09

Jul

Link to Comparing Notes on Trustworthy AI

Workshop  •  09.07.2024  •  LMU Munich, Senatssaal, Geschwister-Scholl-Platz 1, 80539 Munich

5:30 pm - 8:30 pm

Comparing Notes on Trustworthy AI

Part 3: Can Ethics Ensure Trustworthy AI?

The MCML, in collaboration with the appliedAI Institute for Europe gGmbH, the Liquid Legal Institute e.V., and the TUM Think Tank, presents a three-part event series on Trustworthy AI. The third event, “Can ethics ensure trustworthy AI?” addresses the topic of trustworthy AI from a research perspective, focusing on research in AI ethics. It will …

09

Jul

Link to Patient Risk Stratification Through a Causal Lens

Lecture  •  09.07.2024  •  LMU Munich, Seminar Room 211, 2/F, Ludwigstr. 28 (Front Building)

1:30 pm - 2:30 pm

Patient Risk Stratification Through a Causal Lens

Jenna Wiens, University of Michigan

It is estimated that in up to a third of in-hospital deaths patients develop sepsis, the body’s overwhelming response to infection. Given the significant morbidity associated with sepsis, many clinical decision-support tools for estimating risk of sepsis have been developed, yet few have made a significant impact. Jenna Wiens, Associate Professor …

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