Events@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.
       04.05.2022, 17:00
Munich AI Lectures
Fairness, Randomness and the Crystal Ball
Speaker(s): Cynthia Dwork, Harvard University


       04.05.2022, 16:15
Presentation
Detecting parameter heterogeneity in psychometric models by means of model-based recursive partitioning with psychotree, stablelearner & co.
Speaker(s): Carolin Strobl, Universität Zurich


       03.05.2022, 14:15
Presentation
Instrumental Variable Approaches To Individualized Treatment Regimes Under A Counterfactual World
Speaker(s): Yifan Cui, National University Singapore


       25.04.2022, 16:00 - 17:00
TUM Distinguished Lecture Series on AI & Healthcare
Modelling the surgical knowledge for computer-assisted preoperative planning
Speaker(s): Caroline Essert, University of Strasbourg, CNRS


       18.02.2022
Round table
'Next Generation AI' Topic IV: Social Aspects of AI



       14.02.2022, 16:00 - 17:00
TUM Distinguished Lecture Series on AI & Healthcare
Learning to read xray: applications to heart failure monitoring
Speaker(s): Polina Golland, Massachusetts Institute of Technology


       10.02.2022, 17:00
Presentation
Unsupervised Brain Pathology Segmentation
Speaker(s): Benedikt Wiestler (TUM), Shadi Albarqouni (Helmholtz München)


       10.02.2022, 12:00 - 13:30
KI Keynotes
Using Natural Language Processing to Forecast the Impact of AI on the Labor Market
Speaker(s): Oliver Müller, Management Information Systems and Data Analytics, University of Paderborn


       09.02.2022, 16:15
Presentation
The Working Group on Methods for Missing Data, Model Selection and Model Averaging - Research Topics and Applications
Speaker(s): Christian Heumann, Department of Statistics, LMU Munich


       08.02.2022, 18:15 - 19:45
LMU KI Lecture Series
Künstliche Intelligenz - ein Ausblick auf künftige Entwicklungen
Speaker(s): 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.


       07.02.2022
Round table
'Next Generation AI' Topic III: Limitations of AI



       03.02.2022, 12:00 - 13:30
KI Keynotes
Monitoring Global Development Aid with Machine Learning
Speaker(s): Malte Toetzke, Group of Sustainability and Technology, ETH Zurich


       02.02.2022, 16:15
Presentation
The Statistical Learning and Data Science Group - Selected Topics from Research and Applications
Speaker(s): Bernd Bischl, Department of Statistics, LMU Munich


       31.01.2022, 16:00 - 17:00
TUM Distinguished Lecture Series on AI & Healthcare
AI in Radiology
Speaker(s): Professor Ron Kikinis, Harvard Medical School


       27.01.2022, 17:00
Presentation
Unsupervised Brain Pathology Segmentation
Speaker(s): Benedikt Wiestler (TUM), Shadi Albarqouni (Helmholtz München)


       26.01.2022
Round table
'Next Generation AI' Topic II: AI and Domain Knowledge



       25.01.2022, 18:15 - 19:45
LMU KI Lecture Series
Datengestützte politische Entscheidungen
Speaker(s): Helmut Küchenhoff, Professor für Mathematik am Institut für Statistik und Leiter des statistischen Beratungslabors an der LMU


       19.01.2022, 16:15
Presentation
Measurement error in social research
Speaker(s): Daniel L. Oberski, Universität Utrecht


       12.01.2022, 16:15
Presentation
Science of Data - or what we think about when we worry about data quality
Speaker(s): Frauke Kreuter, Department of Statistics, LMU Munich


       01.12.2021, 16:15
Presentation
Learning from Weakly Structured Information
Speaker(s): Thomas Augustin, Department of Statistics, LMU Munich


       11.01.2022, 18:15 - 19:45
LMU KI Lecture Series
Das Universum im Maschinenhirn: Künstliche Intelligenz in der Kosmologie
Speaker(s): Daniel Grün, Inhaber des Lehrstuhls für Astrophysik, Kosmologie und Künstliche Intelligenz an der Fakultät für Physik der LMU


       16.12.2022, 17:00
Presentation
Multiomics Analytics of Coronary Artery Disease
Speaker(s): Heribert Schunkert, Matthias Heining


       14.12.2021, 18:15 - 19:45
LMU KI Lecture Series - Panel Discussion
Von Pflegerobotern bis zu militärischen Drohnen: Ethische Herausforderungen durch Künstliche Intelligenz
, Es diskutieren Fiorella Battaglia, Privatdozentin am Lehrstuhl für Philosophie und politische Theorie, Timo Greger, Wissenschaftlicher Koordinator sowie Co-Projektleiter „KI und Ethik“ an der Fakultät für Philosophie, Wissenschaftstheorie und Religionswissenschaft sowie die Absolventin Felicia Kuckertz, die einen Forschungspreis für ihre Bachelorarbeit zum Thema „KI-gestützte Militärroboter und moralische Verantwortung“ verliehen bekam. Die Moderation übernimmt Martin Wirsing, Professor für Informatik an der LMU und ein gefragter Experte im Bereich Programmierung, Softwaretechnik- und Entwicklung.


       09.12.2021, 19:00
Panel Discussion
Next Generation AI
Speaker(s): Sami Haddadin, Gitta Kutyniok, Eva Wolfangel


       30.11.2021, 18:15 - 19:45
LMU KI Lecture Series
Die Rekonstruktion von Meisterwerken altorientalischer Literatur durch den Einsatz von KI
Speaker(s): Enrique Jiménez, Professor für altorientalische Literaturen am Institut für Assyriologie und Hethitologie an der Fakultät für Kulturwissenschaften der LMU


       26.11.2021
Round table
'Next Generation AI' Topic I: AI and Uncertainty



       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
Speaker(s): 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.


       11.11.2021, 17:00
Presentation
Assisted Intervention
Speaker(s): Dirk Wilhelm, Nassir Navab


       09.11.2021, 19:00
Presentation
On the Blending of Machine Learning and Economics
Speaker(s): 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


       08.–12.11.2021
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.


       04.11.2021, 11:00
Presentation
How To Develop Data Science Products at Scale
Speaker(s): René Traue, Christian Lindenlaub, GfK, Nürnberg


       03.11.2021, 16:00
Presentation
Testing Probabilities Oracles
Speaker(s): Timo von Oertzen, Universität der Bundeswehr München


       20.10.2021, 16:15
Presentation
A marked Hawkes process for modeling and detecting fake news on social media.
Speaker(s): Stefan Feuerriegel, Fakultät für Betriebswirtschaftslehre, LMU


       01.–03.09.2021
LWDA 2021 conference
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.


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