Events@MCML
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To add an event to the MCML Events Calendar please write an Email to events@mcml.ai.
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07.09.2022, 17:00 Munich AI Lectures Mathematical Mysteries of Deep Neural Networks Speaker(s): Stephane Mallat, College de France |
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27.07.2022, 14:00–18:00 MCML Kick-Off Bavarian Academy of Sciences and Humanities |
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20.07.2022, 17:00 Presentation On vine copulas and uncertainty Speaker(s): Thomas Nagler, Institut für Statistik, LMU |
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18.07.2022, 16:00 TUM Distinguished Lecture Series on AI & Healthcare Using Neural Sequence Models to Represent Sequences of Human Decisions Speaker(s): Susan Athey, Stanford University |
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14.07.2022, 18:00 - 19:30 AI Keynotes Efficient and targeted COVID-19 border testing via reinforcement learning Speaker(s): Hamsa Bastani, University of Pennsylvania |
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13.07.2022, 16:00 Presentation Combining experimental and population data to estimate population treatment effects Speaker(s): Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health, Baltimore |
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30.06.2022, 12:00 - 13:30 AI Keynotes Personalized Medicine using Real-World Data: A Causal Machine Learning Approach/Advances in Data-Driven Decision-Making: A Mathematical Optimization Perspective Speaker(s): Tobias Hatt and Daniel Tschernutter, ETH Zurich |
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29.06.2022, 16:15 Presentation Predicting macroeconomic indicators from online activity data: a case study Speaker(s): Maria Eduarda Silva, Universität Porto |
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23.06.2022, 16:15 Presentation State space models as a flexible framework for monitoring epidemics Speaker(s): Stefan Heyder, Thomas Hotz, Technische Universität Illmenau |
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23.06.2022, 16:00 - 17:30 AI Keynotes Smooth Contextual Bandits Speaker(s): Nathan Kallus, Cornell University |
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23.06.2022, 16:00 Presentation Patient records and their analysis Speaker(s): Eimo Martens/Narges Ahmidi, TUM/Helmholtz |
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20.06.2022, 16:00 TUM Distinguished Lecture Series on AI & Healthcare Learning to Detect Objects from Repeated Traversals of the Same Route Speaker(s): Kilian Weinberger, Cornell University |
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15.06.2022, 16:15 Presentation Does Rising Inequality Reduce Social Cohesion? New Results Using Hybrid Multilevel Regression Models and Four Decades of Repeated Surveys in 32 Countries Speaker(s): Markus Gangl, Goethe-Universität Frankfurt |
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08.06.2022, 16:15 Presentation On the Difficulty of Epistemic Uncertainty Quantification in Machine Learning: The Case of Direct Uncertainty Estimation through Loss Minimisation Speaker(s): Viktor Bengs, Department of Statistics, LMU Munich |
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02.06.2022, 16:00 - 17:30 AI Keynotes Machine Learning and Event Detection for Urban Public Health Speaker(s): Daniel Neill, New York University |
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01.06.2022, 16:15 Presentation Arbeitsgruppenvorstellung: Lehrstuhl für Statistik und ihre Anwendungen in Wirtschafts- und Sozialwissenschaften Speaker(s): Göran Kauermann, Department of Statistics, LMU Munich |
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01.06.2022, 18:30 Round table Symposium on AI Research at LMU |
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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 Speaker(s): Hervé Delingette, INRIA |
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18.05.2022, 16:15 Presentation Data 4 Policy: Towards a Data Culture Speaker(s): Walter J. Rademacher, Department of Statistics, LMU Munich |
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11.05.2022, 16:15 Presentation Surprises in topic model estimation and new Wasserstein document-distance calculations Speaker(s): Florentina Bunea, Cornell University |
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04.05.2022, 17:00 Munich AI Lectures Fairness, Randomness and the Crystal Ball Speaker(s): Cynthia Dwork, Harvard University |
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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 |
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03.05.2022, 14:15 Presentation Instrumental Variable Approaches To Individualized Treatment Regimes Under A Counterfactual World Speaker(s): Yifan Cui, National University Singapore |
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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 |
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18.02.2022 Round table 'Next Generation AI' Topic IV: Social Aspects of AI |
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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 |
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10.02.2022, 17:00 Presentation Unsupervised Brain Pathology Segmentation Speaker(s): Benedikt Wiestler (TUM), Shadi Albarqouni (Helmholtz München) |
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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 |
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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 |
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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. |
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07.02.2022 Round table 'Next Generation AI' Topic III: Limitations of AI |
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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 |
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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 |
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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 |
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27.01.2022, 17:00 Presentation Unsupervised Brain Pathology Segmentation Speaker(s): Benedikt Wiestler (TUM), Shadi Albarqouni (Helmholtz München) |
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26.01.2022 Round table 'Next Generation AI' Topic II: AI and Domain Knowledge |
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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 |
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19.01.2022, 16:15 Presentation Measurement error in social research Speaker(s): Daniel L. Oberski, Universität Utrecht |
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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 |
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01.12.2021, 16:15 Presentation Learning from Weakly Structured Information Speaker(s): Thomas Augustin, Department of Statistics, LMU Munich |
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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 |
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16.12.2022, 17:00 Presentation Multiomics Analytics of Coronary Artery Disease Speaker(s): Heribert Schunkert, Matthias Heining |
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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. |
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09.12.2021, 19:00 Panel Discussion Next Generation AI Speaker(s): Sami Haddadin, Gitta Kutyniok, Eva Wolfangel |
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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 |
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26.11.2021 Round table 'Next Generation AI' Topic I: AI and Uncertainty |
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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. |
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11.11.2021, 17:00 Presentation Assisted Intervention Speaker(s): Dirk Wilhelm, Nassir Navab |
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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 |
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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. |
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04.11.2021, 11:00 Presentation How To Develop Data Science Products at Scale Speaker(s): René Traue, Christian Lindenlaub, GfK, Nürnberg |
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03.11.2021, 16:00 Presentation Testing Probabilities Oracles Speaker(s): Timo von Oertzen, Universität der Bundeswehr München |
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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 |
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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. |
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29.07.2020 Virtual workshop on 29.07.2020 with over 20 presentations by our PhD students on current research topics. |