![Wahid Bhimji](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/10/Wahid-Bhimji-1-390x390.jpg)
Wahid Bhimji
Deep Learning on Supercomputers for Fundamental Science [virtual]
![zyro-image](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/12/zyro-image-e1639640895615-390x390.jpg)
Joachim M. Buhmann
Machine Learning — A Paradigm Shift in Human Thought!?
![deeplearn-kate-saenko](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/09/deeplearn-kate-saenko.jpg)
Kate Saenko
Overcoming Dataset Bias in Deep Learning [virtual]
Professors and courses
![Arindam Banerjee](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/10/Arindam-Banerjee-e1633435930831.jpg)
Arindam Banerjee
[intermediate/advanced] Deep Generative and Dynamical Models
![deeplearn-pierre-baldi](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/09/deeplearn-pierre-baldi.jpg)
Pierre Baldi
[intermediate/advanced] Deep Learning: Applications in the Natural Sciences
![Mikhail Belkin](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/10/Mikhail-Belkin-e1633436397484.jpg)
Mikhail Belkin
[intermediate/advanced] Modern Machine Learning and Deep Learning through the Prism of Interpolation
![deeplearn-arthur-gretton](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/09/deeplearn-arthur-gretton.jpg)
Arthur Gretton
[intermediate/advanced] Probability Divergences and Generative Models
![deeplearn-philip-isola](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/09/deeplearn-philip-isola.jpg)
Phillip Isola
[intermediate] Deep Generative Models
![Mohit Iyyer](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/10/Mohit-Iyyer-e1633948403218.jpg)
Mohit Iyyer
[intermediate/advanced] Natural Language Generation
![Irwin King 2](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/10/Irwin-King-2-292x292.png)
Irwin King
[intermediate/advanced] Deep Learning on Graphs
![Tor Lattimore](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2022/06/Tor-Lattimore-e1655103056564.jpg)
Tor Lattimore
[intermediate/advanced] Tools and Techniques of Reinforcement Learning to Overcome Bellman’s Curse of Dimensionality
![Vincent Lepetit](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/10/Vincent-Lepetit.jpg)
Vincent Lepetit
[intermediate] Deep Learning and 3D Reasoning for 3D Scene Understanding
![Dimitris N. Metaxas](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/10/Dimitris-N.-Metaxas.jpg)
Dimitris N. Metaxas
[intermediate/advanced] Model-based, Explainable, Semisupervised and Unsupervised Machine Learning for Dynamic Analytics in Computer Vision and Medical Image Analysis
![Sean Meyn](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/10/Sean-Meyn-1-e1637605584591-292x292.jpg)
Sean Meyn
[introductory/intermediate] Reinforcement Learning: Fundamentals, and Roadmaps for Successful Design
![deeplearn-louis-philippe-morency](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/09/deeplearn-louis-philippe-morency.jpg)
Louis-Philippe Morency
[intermediate/advanced] Multimodal Machine Learning
![Wojciech Samek](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/11/Wojciech-Samek-e1636014697693.jpg)
Wojciech Samek
[introductory/intermediate] Explainable AI: Concepts, Methods and Applications
![Clara I. Sánchez](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/10/Clara-I.-Sanchez.jpg)
Clarisa Sánchez
[introductory/intermediate] Mechanisms for Trustworthy AI in Medical Image Analysis and Healthcare
![Björn W. Schuller](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/10/Bjorn-W.-Schuller-e1633438484266.jpg)
Björn W. Schuller
[introductory/intermediate] Deep Multimedia Processing
![Jonathon Shlens](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/10/Jonathon-Shlens-e1633438818623.jpg)
Jonathon Shlens
[introductory/intermediate] Learning a Representation of the Visual World with Neural Networks [virtual]
![deeplearn-johan-suykens](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/09/deeplearn-johan-suykens.jpg)
Johan Suykens
[introductory/intermediate] Deep Learning, Neural Networks and Kernel Machines
![deeplearn-murat-tekalp](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/09/deeplearn-murat-tekalp.jpg)
A. Murat Tekalp
[intermediate/advanced] Deep Learning for Image/Video Restoration and Compression
![deeplearn-tkatchenko](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/09/deeplearn-tkatchenko.jpg)
Alexandre Tkatchenko
[introductory/intermediate] Machine Learning for Physics and Chemistry
![Li Xiong](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/10/Li-Xiong-e1633439116964-292x292.jpg)
Li Xiong
[introductory/intermediate] Differential Privacy and Certified Robustness for Deep Learning
![deeplearn-ming-yuan](https://deeplearn.irdta.eu/2022su/wp-content/uploads/sites/4/2021/09/deeplearn-ming-yuan.jpg)
Ming Yuan
[intermediate/advanced] Low Rank Tensor Methods in High Dimensional Data Analysis