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Stefan Bauer: Neural causal models
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Title: Neural causal models
Speaker: Stefan Bauer, TU Munich
Abstract: Deep neural networks have achieved outstanding success in many tasks ranging from computer vision, to natural language processing, and robotics. However such models still pale in their ability to understand the world around us, as well as generalizing and adapting to new tasks or environments. One possible solution to this problem are causal models, since they can reason about the connections between causal variables and the effect of intervening on them. This talk will introduce the fundamental concepts of causal inference, connections and synergies with deep learning as well as practical applications and advances in sustainability and AI for science.
Location: This is an online seminar. Connect using Zoom.
Date: 2023-12-07 15:00
Upcoming seminars:
2023-12-14: Fredrik Gustafsson, Karolinska Institutet
2024-01-18: Serge Belongie, University of Copenhagen
2024-01-25: Joakim Lindblad, Uppsala University
2024-02-08: Liane Guillou, RISE Research Institutes of Sweden
All seminars are 15:00 CET.
– The Learning Machines Team
Speaker: Stefan Bauer, TU Munich
Abstract: Deep neural networks have achieved outstanding success in many tasks ranging from computer vision, to natural language processing, and robotics. However such models still pale in their ability to understand the world around us, as well as generalizing and adapting to new tasks or environments. One possible solution to this problem are causal models, since they can reason about the connections between causal variables and the effect of intervening on them. This talk will introduce the fundamental concepts of causal inference, connections and synergies with deep learning as well as practical applications and advances in sustainability and AI for science.
Location: This is an online seminar. Connect using Zoom.
Date: 2023-12-07 15:00
Upcoming seminars:
2023-12-14: Fredrik Gustafsson, Karolinska Institutet
2024-01-18: Serge Belongie, University of Copenhagen
2024-01-25: Joakim Lindblad, Uppsala University
2024-02-08: Liane Guillou, RISE Research Institutes of Sweden
All seminars are 15:00 CET.
– The Learning Machines Team
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