Events at and around the MCML


The MCML Events Calendar collects different types of events happening at and around the Munich Center for Machine Learning.

To add an event to the MCML Events Calendar please write an Email to events@mcml.ai.



Link to Modeling biomarker ratios with gamma distributed components 22.03.2023, 16:15 - 17:45
Presentation

Modeling biomarker ratios with gamma distributed components

Matthias Schmid. University of Bonn.

Abstract: The talk introduces a regression model termed ”extended GB2 model”, which is designed to analyze ratios of biomarkers in epidemiological and medical research.


Link to German Data Science Days (GDSD) 09–10.03.2023
Conference

German Data Science Days (GDSD)

LMU Munich

The GDSD bring together data scientists from various fields with the aim to identify and discuss new methods, explore new fields of application, and enhance the professional image of data scientists.


Link to Explainable AI via Semantic Information Pursuit 08.03.2023, 17:00
Munich AI Lectures

Explainable AI via Semantic Information Pursuit

René Vidal. John Hopkins University.

Abstract: There is a significant interest in developing ML algorithms whose final predictions can be explained in terms understandable to a human. To address this challenge, we develop a method for constructing high performance ML algorithms which are explainable by design.


Link to Bavarian International Conference on AI (ai.bay 2023) 23–24.02.2023
Conference

Bavarian International Conference on AI (ai.bay 2023)

Deutsches Museum in Munich

Happy and proud to be a part of this at Munich Center for Machine Learning - we will be present on stage with our directors, with talks by PIs, a stand, and a lot more.


Link to Interaction with Technologies for Human Augmentation 20.02.2023
Symposium

Interaction with Technologies for Human Augmentation

Are you interested in the latest advancements and research trends in human augmentation? Join us for the “Workshop on Interaction with Technologies for Human Augmentation” organized by LMU Munich and HumaneAI, co-organized by MCML.


Link to Assessing goodness of fit for network models 15.02.2023, 16:15 - 17:45
Presentation

Assessing goodness of fit for network models

Gesine Reinert. University of Oxford.

Abstract: Networks are often used to represent complex dependencies in data, and network models can aid the understanding of such dependencies. This talk will present network models. We shall introduce a kernelized goodness of fit test (which is based on Stein’s method), give performance guarantees, and illustrate its use.


Link to Learning to read xray: applications to heart failure monitoring 14.02.2023, 16:00
TUM Distinguished Lecture Series on AI & Healthcare

Learning to read xray: applications to heart failure monitoring

Polina Golland. Massachusetts Institute of Technology.

Abstract: We propose and demonstrate a novel approach to training image classification models based on large collections of images with limited labels. We take advantage of availability of radiology reports to construct joint multimodal embedding that serves as a basis for classification. We demonstrate the advantages of this approach in application to assessment of pulmonary edema severity in congestive heart failure that motivated the development of the method.


Link to Electricity load forecasting using the Temporal Fusion Transformer 09.02.2023, 12:00 - 13:30
AI Keynotes @LMU Institute of AI in Management

Electricity load forecasting using the Temporal Fusion Transformer

Konstantin Hopf. University of Bamberg.

Abstract: The current developments relating to the energy transition (decarbonization, decentralization, electrification of heat and mobility) pose particular challenges for the distribution grids and make accurate load forecasts increasingly important. Novel modeling approaches like the Transformer approach have proven to be promising architectures of neural networks for sequence data. The temporal fusion transformer (TFT) architecture seems particularly suitable for time series data to obtain high quality forecasts. To date, there are only a handful of studies that apply this approach to the electricity load forecasting problem, mostly in combination with other analytical approaches. Therefore, examine the performance of the TFT on short-term forecasting problems in the distribution grid.


Link to The Generalized Linear Mixed Model Leading Terms 08.02.2023, 16:15 - 17:45
Presentation

The Generalized Linear Mixed Model Leading Terms

Matt Wand. University of Technology Sydney.


Link to Was verändert sich für uns durch ChatGPT? Wie werden KI-Sprachmodelle Lehren und Lernen verändern? 08.02.2023, 18:15 - 19:45
HCILAB

Was verändert sich für uns durch ChatGPT? Wie werden KI-Sprachmodelle Lehren und Lernen verändern?

Uta Hauck-Thum, Jochen Weller, Jochen Kuhn, Frauke Kreuter, Hinrich Schütze, Albrecht Schmidt. LMU.


Link to The highs and lows of performance evaluation: Towards a measurement theory for machine learning 08.02.2023, 17:00
Munich AI Lectures

The highs and lows of performance evaluation: Towards a measurement theory for machine learning

Peter Flach. University of Bristol.


Link to Visualizing (Bio-)Medicine with Artificial Intelligence 06.02.2023, 19:00
Round table

Visualizing (Bio-)Medicine with Artificial Intelligence

Laura Busse. Munich Center for NeuroSciences.
Frederick Klausche. LMU Institute of Pathology.
Björn Menze. UZH Department of Quantitative Biomedicine.

Moderation:  Michael Ingrisch (LMU), Björn Ommer (LMU).


Link to The Impact of AlphaFold on Protein Research 02.02.2023, 19:00
Round table

The Impact of AlphaFold on Protein Research

Karl-Peter Hopfner. Gene Center and Department of Biochemistry (LMU).
Alexander Pritzel. DeepMind.

Moderation:  Julia Merlot (Spiegel).


Link to Hardware/Software/Algorithm CoDesign for Robust Deep and Federated Learning 01.02.2023, 17:00
Round table

Hardware/Software/Algorithm CoDesign for Robust Deep and Federated Learning

Farinaz Koushanfar. UC San Diego.


Link to Benchmarking in the social sciences 01.02.2023, 16:15 - 17:45
Presentation

Benchmarking in the social sciences

Paulina Pankowska. Universiteit Utrecht.


Link to  AI in Radiology 31.01.2023, 16:00
TUM Distinguished Lecture Series on AI & Healthcare

AI in Radiology

Ron Kikinis. Harvard Medical School.


Link to AI meets Entrepreneurs: Impact Bootcamp towards Start-Ups that unfold Potential of Sustainability @LMU Munich 27–28.01.2023
Bootcamp

AI meets Entrepreneurs: Impact Bootcamp towards Start-Ups that unfold Potential of Sustainability @LMU Munich

The Munich Center for Machine Learning is organizing together with impACTup! and ZD.B / LMU Media Informatics Group this two-part event, where we aim to shift researchers and students in Machine Learning and Artificial Intelligence into an Entrepreneurial Mindset. With input from experts and hands-on experience, we want to highlight the chances and risks that a career as a founder and entrepreneur can hold in contrast to research.


Link to AI and Data Science at the Medical Faculty Real-life symposium 27.01.2023 10:00 - 17:00
Symposium

AI and Data Science at the Medical Faculty Real-life symposium

Björn Ommer, Bernd Bischl, Gitta Kutyniok, Markus Lerch, Michael Ingrisch, Fady Albashiti, Thomas Gudermann, Nikolaos Koutsouleris, Guillaume Landry, Johanna Klughammer, Anne-Laure Boulesteix. MCML, NVIDIA, LMU Klinikum.


Link to Causality for efficient and robust predictive modeling 26.01.2023, 14:30 - 16:00
AI Keynotes

Causality for efficient and robust predictive modeling

Maggie Makar. University of Michigan.


Link to Black Holes Hide the Key to New Foundations for Physics 25.01.2023, 18:30
Round table

Black Holes Hide the Key to New Foundations for Physics

Dr. Erik Curiel. Munich Center for Mathematical Philosophy (LMU).
Prof. Dr. Dieter Lüst. Professor of Mathematical Physics (LMU).
Dr. Marlene Weiß. Head of Science Department Süddeutsche Zeitung.


Link to An interpretable machine learning workflow for statistical inference 25.01.2023, 16:15 - 17:45
Presentation

An interpretable machine learning workflow for statistical inference

Andreas Joseph. Bank of England, London.


Link to Quo Vadis, Digital Privacy? Perceptions, Practices, and Policies 23.01.2023, 17:00 - 18:45
Round table

Quo Vadis, Digital Privacy? Perceptions, Practices, and Policies

Jessica Vitak, Leah von der Heyde, Zothan Mawii, Markus Herklotz, Vasilka Stovilova, Alena Buyx, Kobbi Nissim, Philipp Räther. BERD@NFDI, TAPP, LMU.

Moderation:  Frauke Kreuter (LMU).


Link to Reclaiming individual autonomy and democratic discourse online 19.01.2023, 12:00 - 13:30
AI Keynotes

Reclaiming individual autonomy and democratic discourse online

Fabiana Zollo. Ca'Foscari University of Venice.


Link to Studying the Impact of Social Media Algorithms 12.01.2023, 17:30 - 19:00
AI Keynotes

Studying the Impact of Social Media Algorithms

Andy Guess. Princeton University.


Link to E is the new P 10.01.2023, 16:00
Presentation

E is the new P

Rianne de Heide. Vrije Universiteit Amsterdam.


Link to AutoGluon: Empowering (Multimodal) AutoML for the Next 10 Million Users 16.12.2022, 10:00 - 11:00
Presentation

AutoGluon: Empowering (Multimodal) AutoML for the Next 10 Million Users

Alex Smola. VP & Distinguished Scientist at Amazon Web Services.


Link to Causal Targeting - It's not Causal Effect Estimation (and Why it Matters) 08.12.2022, 18:00 - 19:30
AI Keynotes

Causal Targeting - It’s not Causal Effect Estimation (and Why it Matters)

Foster Provost. New York University.


Link to A Connected World: Data Analysis for Real-World Network Data 08.12.2022, 09:00 - 17:00
Presentation

A Connected World: Data Analysis for Real-World Network Data

Giacomo De Nicola, Cornelius Fritz, Göran Kauermann. Institut für Statistik, LMU.


Link to Writing with Artificial Intelligence 01.12.2022, 17:15
Presentation

Writing with Artificial Intelligence

Barbara Plank, Mario Haim, Uli Köppen, Hinrich Schütze. LMU, LMU, AI und Automation Lab des BR, LMU.


Link to Societal Computing 01.12.2022, 12:00 - 13:30
AI Keynotes

Societal Computing

Ingmar Weber. Saarland University.


Link to Testing for Global Covariate Effects in Dynamic Interaction Event Networks 30.11.2022, 16:00
Presentation

Testing for Global Covariate Effects in Dynamic Interaction Event Networks

Alexander Kreiß. Universität Leipzig.


Link to Brain imaging in UK Biobank 28.11.2022, 16:00
TUM Distinguished Lecture Series on AI & Healthcare

Brain imaging in UK Biobank

Stephen Smith. University of Oxford.


Link to Current Research Projects in the Statistics and Econometrics Group 08.11.2022, 16:00
Presentation

Current Research Projects in the Statistics and Econometrics Group

Daniel Wilhelm. Institut für Statistik, LMU.


Link to tba 10.11.2022, 12:00 - 13:30
AI Keynotes

tba

Markus Strohmaier. University of Mannheim.


Link to Physics-inspired learning on graphs 02.11.2022, 17:00
Munich AI Lectures

Physics-inspired learning on graphs

Michael Bronstein. University of Oxford.


Link to Next Generation AI: Panel Discussion 'The Future of Astrophysics' 25.10.2022, 19:00
Panel Discussion

Next Generation AI: Panel Discussion ‘The Future of Astrophysics’

Daniel Gruen. LMU.
Lukas Heinrich. TUM.
Kevin Heng. LMU.

Moderation:  Jenny Sorce (Université Paris-Saclay).


Link to First cross-Atlantic RoboArt Hackathon on Nov. 4th-6th, 2022 04–06.11.2022
Hackathon

First cross-Atlantic RoboArt Hackathon on Nov. 4th-6th, 2022

A collaboration of Women in AI & Robotics, the University of Waterloo Department of Mechanical and Mechatronics Engineering, and Mila. For participants, we target the 18–25-year age group by reaching out to schools and Universities further to promote entry into the exciting field of robotics.


Link to Decision Making under Complex Information with Applications to Statistics and Machine Learning 19.10.2022, 16:00
Presentation

Decision Making under Complex Information with Applications to Statistics and Machine Learning

Christoph Jansen. Institut für Statistik, LMU.


Link to On everybody´s lip but without the bite - The current state of Trustworthy AI 12.10.2022, 16:30
Presentation

On everybody´s lip but without the bite - The current state of Trustworthy AI

Vince Madai. Berlin Institute of Health of Charité Berlin.


Link to The PDE Prior 05.10.2022, 17:00
Munich AI Lectures

The PDE Prior

Max Welling. University of Amsterdam.


Link to Mathematical Mysteries of Deep Neural Networks 07.09.2022, 17:00
Munich AI Lectures

Mathematical Mysteries of Deep Neural Networks

Stephane Mallat. College de France.


Link to MCML Kick-Off 27.07.2022, 14:00–18:00
Event

MCML Kick-Off

Bavarian Academy of Sciences and Humanities


Link to On vine copulas and uncertainty 20.07.2022, 17:00
Presentation

On vine copulas and uncertainty

Thomas Nagler. Institut für Statistik, LMU.


Link to Using Neural Sequence Models to Represent Sequences of Human Decisions 18.07.2022, 16:00
TUM Distinguished Lecture Series on AI & Healthcare

Using Neural Sequence Models to Represent Sequences of Human Decisions

Susan Athey. Stanford University.


Link to Efficient and targeted COVID-19 border testing via reinforcement learning 14.07.2022, 18:00 - 19:30
AI Keynotes

Efficient and targeted COVID-19 border testing via reinforcement learning

Hamsa Bastani. University of Pennsylvania.


Link to Combining experimental and population data to estimate population treatment effects 13.07.2022, 16:00
Presentation

Combining experimental and population data to estimate population treatment effects

Elizabeth Stuart. Johns Hopkins Bloomberg School of Public Health, Baltimore.


Link to Predicting macroeconomic indicators from online activity data: a case study 29.06.2022, 16:15
Presentation

Predicting macroeconomic indicators from online activity data: a case study

Maria Eduarda Silva. Universität Porto.


Link to State space models as a flexible framework for monitoring epidemics 23.06.2022, 16:15
Presentation

State space models as a flexible framework for monitoring epidemics

Stefan Heyder. Technische Universität Illmenau.
Thomas Hotz. Technische Universität Illmenau.


Link to Smooth Contextual Bandits 23.06.2022, 16:00 - 17:30
AI Keynotes

Smooth Contextual Bandits

Nathan Kallus. Cornell University.


Link to Patient records and their analysis 23.06.2022, 16:00
Presentation

Patient records and their analysis

Eimo Martens. TUM.
Narges Ahmidi. Helmholtz.


Link to Learning to Detect Objects from Repeated Traversals of the Same Route 20.06.2022, 16:00
TUM Distinguished Lecture Series on AI & Healthcare

Learning to Detect Objects from Repeated Traversals of the Same Route

Kilian Weinberger. Cornell University.


Link to Machine Learning and Event Detection for Urban Public Health 02.06.2022, 16:00 - 17:30
AI Keynotes

Machine Learning and Event Detection for Urban Public Health

Daniel Neill. New York University.


Link to Arbeitsgruppenvorstellung: Lehrstuhl für Statistik und ihre Anwendungen in Wirtschafts- und Sozialwissenschaften 01.06.2022, 16:15
Presentation

Arbeitsgruppenvorstellung: Lehrstuhl für Statistik und ihre Anwendungen in Wirtschafts- und Sozialwissenschaften

Göran Kauermann. Department of Statistics, LMU Munich.


Link to Symposium on AI Research at LMU 01.06.2022, 18:30
Round table

Symposium on AI Research at LMU


Link to Some Strategies to cope with the cost of annotations in Medical Image Analysis 23.05.2022, 16:00
TUM Distinguished Lecture Series on AI & Healthcare

Some Strategies to cope with the cost of annotations in Medical Image Analysis

Hervé Delingette. INRIA.


Link to Data 4 Policy: Towards a Data Culture 18.05.2022, 16:15
Presentation

Data 4 Policy: Towards a Data Culture

Walter J. Rademacher. Department of Statistics, LMU Munich.


Link to Surprises in topic model estimation and new Wasserstein document-distance calculations 11.05.2022, 16:15
Presentation

Surprises in topic model estimation and new Wasserstein document-distance calculations

Florentina Bunea. Cornell University.


Link to Fairness, Randomness and the Crystal Ball 04.05.2022, 17:00
Munich AI Lectures

Fairness, Randomness and the Crystal Ball

Cynthia Dwork. Harvard University.


Link to Instrumental Variable Approaches To Individualized Treatment Regimes Under A Counterfactual World 03.05.2022, 14:15
Presentation

Instrumental Variable Approaches To Individualized Treatment Regimes Under A Counterfactual World

Yifan Cui. National University Singapore.


Link to Modelling the surgical knowledge for computer-assisted preoperative planning 25.04.2022, 16:00 - 17:00
TUM Distinguished Lecture Series on AI & Healthcare

Modelling the surgical knowledge for computer-assisted preoperative planning

Caroline Essert. University of Strasbourg, CNRS.


Link to Learning to read xray: applications to heart failure monitoring 14.02.2022, 16:00 - 17:00
TUM Distinguished Lecture Series on AI & Healthcare

Learning to read xray: applications to heart failure monitoring

Polina Golland. Massachusetts Institute of Technology.


Link to Unsupervised Brain Pathology Segmentation 10.02.2022, 17:00
Presentation

Unsupervised Brain Pathology Segmentation

Benedikt Wiestler (TUM), Shadi Albarqouni (Helmholtz München).


Link to Using Natural Language Processing to Forecast the Impact of AI on the Labor Market 10.02.2022, 12:00 - 13:30
KI Keynotes

Using Natural Language Processing to Forecast the Impact of AI on the Labor Market

Oliver Müller. Management Information Systems and Data Analytics, University of Paderborn.


Link to The Working Group on Methods for Missing Data, Model Selection and Model Averaging - Research Topics and Applications 09.02.2022, 16:15
Presentation

The Working Group on Methods for Missing Data, Model Selection and Model Averaging - Research Topics and Applications

Christian Heumann. Department of Statistics, LMU Munich.


Link to Künstliche Intelligenz - ein Ausblick auf künftige Entwicklungen 08.02.2022, 18:15 - 19:45
LMU KI Lecture Series

Künstliche Intelligenz - ein Ausblick auf künftige Entwicklungen

Thomas Seidl. Professor für Informatik. Er ist Inhaber des Lehrstuhls für Datenbanksysteme und Data Mining an der Fakultät für Mathematik, Informatik und Statistik und Direktor des Munich Center for Machine Learning..


Link to Monitoring Global Development Aid with Machine Learning 03.02.2022, 12:00 - 13:30
KI Keynotes

Monitoring Global Development Aid with Machine Learning

Malte Toetzke. Group of Sustainability and Technology, ETH Zurich.


Link to The Statistical Learning and Data Science Group - Selected Topics from Research and Applications 02.02.2022, 16:15
Presentation

The Statistical Learning and Data Science Group - Selected Topics from Research and Applications

Bernd Bischl. Department of Statistics, LMU Munich.


Link to AI in Radiology 31.01.2022, 16:00 - 17:00
TUM Distinguished Lecture Series on AI & Healthcare

AI in Radiology

Professor Ron Kikinis. Harvard Medical School.


Link to Unsupervised Brain Pathology Segmentation 27.01.2022, 17:00
Presentation

Unsupervised Brain Pathology Segmentation

Benedikt Wiestler. TUM.
Shadi Albarqouni. Helmholtz München.


Link to Datengestützte politische Entscheidungen 25.01.2022, 18:15 - 19:45
LMU KI Lecture Series

Datengestützte politische Entscheidungen

Helmut Küchenhoff. Professor für Mathematik am Institut für Statistik und Leiter des statistischen Beratungslabors an der LMU.


Link to Measurement error in social research 19.01.2022, 16:15
Presentation

Measurement error in social research

Daniel L. Oberski. Universität Utrecht.


Link to Science of Data - or what we think about when we worry about data quality 12.01.2022, 16:15
Presentation

Science of Data - or what we think about when we worry about data quality

Frauke Kreuter. Department of Statistics, LMU Munich.


Link to Learning from Weakly Structured Information 01.12.2021, 16:15
Presentation

Learning from Weakly Structured Information

Thomas Augustin. Department of Statistics, LMU Munich.


Link to Das Universum im Maschinenhirn: Künstliche Intelligenz in der Kosmologie 11.01.2022, 18:15 - 19:45
LMU KI Lecture Series

Das Universum im Maschinenhirn: Künstliche Intelligenz in der Kosmologie

Daniel Grün. Inhaber des Lehrstuhls für Astrophysik, Kosmologie und Künstliche Intelligenz an der Fakultät für Physik der LMU.


Link to Multiomics Analytics of Coronary Artery Disease 16.12.2022, 17:00
Presentation

Multiomics Analytics of Coronary Artery Disease

Heribert Schunkert, Matthias Heining.


Link to Next Generation AI 09.12.2021, 19:00
Panel Discussion

Next Generation AI

Sami Haddadin, Gitta Kutyniok, Eva Wolfangel.


Link to Die Rekonstruktion von Meisterwerken altorientalischer Literatur durch den Einsatz von KI 30.11.2021, 18:15 - 19:45
LMU KI Lecture Series

Die Rekonstruktion von Meisterwerken altorientalischer Literatur durch den Einsatz von KI

Enrique Jiménez. Professor für altorientalische Literaturen am Institut für Assyriologie und Hethitologie an der Fakultät für Kulturwissenschaften der LMU.


Link to Wer entscheidet, was zählt? KI und Big Data: Anwendungen in wirtschafts- und sozialwissenschaftlicher Forschung 16.11.2021, 18:15 - 19:45
LMU KI Lecture Series

Wer entscheidet, was zählt? KI und Big Data: Anwendungen in wirtschafts- und sozialwissenschaftlicher Forschung

Frauke Kreuter. Inhaberin des Lehrstuhls für Statistik und Data Science in den Sozial- und Humanwissenschaften und Co-Direktorin der Data Science Center an der University of Maryland und der Universität Mannheim..


Link to Assisted Intervention 11.11.2021, 17:00
Presentation

Assisted Intervention

Dirk Wilhelm, Nassir Navab.


Link to On the Blending of Machine Learning and Economics 09.11.2021, 19:00
Presentation

On the Blending of Machine Learning and Economics

Michael I. Jordan. Pehong Chen Distinguished Professor im Department of Electrical Engineering and Computer Sciences and Department of Statistics at the University of California, Berkeley.


Link to 1st Virtual AutoML Fall School 2021 08–12.11.2021
Fall School

1st Virtual AutoML Fall School 2021

The AutoML Fall School will cover core topics of AutoML, covering basics, state-of-the-art approaches and hands-on sessions. Enthusiastic AutoML experts will present their diverse views on AutoML to ML practitioners, developers, research engineers, researchers and students.


Link to How To Develop Data Science Products at Scale 04.11.2021, 11:00
Presentation

How To Develop Data Science Products at Scale

René Traue, Christian Lindenlaub. GfK, Nürnberg.


Link to Testing Probabilities Oracles 03.11.2021, 16:00
Presentation

Testing Probabilities Oracles

Timo von Oertzen. Universität der Bundeswehr München.


Link to A marked Hawkes process for modeling and detecting fake news on social media. 20.10.2021, 16:15
Presentation

A marked Hawkes process for modeling and detecting fake news on social media.

Stefan Feuerriegel. Fakultät für Betriebswirtschaftslehre, LMU.


Link to LWDA 2021 Conference - Hosted by MCML 01–03.09.2021
Conference

LWDA 2021 Conference - Hosted by MCML

LWDA, which expands to „Lernen, Wissen, Daten, Analysen“ („Learning, Knowledge, Data, Analytics“), covers recent research in areas such as knowledge discovery, machine learning & data mining, knowledge management, database management & information systems, information retrieval.


Link to MCML Virtual workshop 29.07.2020
Workshop

MCML Virtual workshop

on 29.07.2020 with over 20 presentations by our PhD students on current research topics.