Professors and courses
![deeeplearn-speakers-benini](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/09/deeeplearn-speakers-benini.jpg)
Luca Benini
[intermediate/advanced] Open Hardware Platforms for Edge Machine Learning
![Gustau Camps-Valls](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/09/Gustau-Camps-Valls-e1695289781371.png)
Gustau Camps-Valls
[intermediate] AI for Earth, Climate, and Sustainability
![Nitesh Chawla](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/09/Nitesh-Chawla.jpg)
Nitesh Chawla
[introductory/intermediate] Introduction to Representation Learning on Graphs
![Daniel Cremers](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/10/Daniel-Cremers-e1697733243836-292x292.png)
Daniel Cremers
[introductory/advanced] Deep Networks for 3D Computer Vision
![deeeplearn-speakers-cui](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/09/deeeplearn-speakers-cui.jpg)
Peng Cui
[intermediate/advanced] Stable Learning for Out-of-Distribution Generalization: Invariance, Causality and Heterogeneity
![deeeplearn-speakers-gleyzer](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/09/deeeplearn-speakers-gleyzer.jpg)
Sergei V. Gleyzer
[introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware
![deeeplearn-speakers-he](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/09/deeeplearn-speakers-he.jpg)
Yulan He
[introductory/intermediate] Machine Reading Comprehension with Large Language Models
![Frank Hutter](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/10/Frank-Hutter-e1697960654150-292x292.png)
Frank Hutter
[intermediate/advanced] Automated Machine Learning, or Deep Learning 2.0: AI that Builds and Improves AI
![deeeplearn-speakers-karypis](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/09/deeeplearn-speakers-karypis.jpg)
George Karypis
[intermediate/advanced] Optimizing LLM Inference
![deeeplearn-speakers-ney](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/09/deeeplearn-speakers-ney.jpg)
Hermann Ney
[intermediate/advanced] Machine Learning and Deep Learning for Speech & Language Technology: A Probabilistic Perspective
![Massimiliano Pontil](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/09/Massimiliano-Pontil-292x292.png)
Massimiliano Pontil
[intermediate/advanced] Operator Learning for Dynamical Systems
![Elisa Ricci](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/10/Elisa-Ricci-1-292x292.png)
Elisa Ricci
[intermediate] Continual and Adaptive Learning in Computer Vision
![Wojciech Samek](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2024/02/Wojciech-Samek-e1707477397908-292x292.png)
Wojciech Samek
[introductory/intermediate] From Feature Attributions to Next-Generation Explainable AI
![Xinghua Mindy Shi](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/10/Xinghua-Mindy-Shi-e1697571498727-292x292.png)
Xinghua Mindy Shi
[introductory/intermediate] Trustworthy Machine Learning for Human Health and Medicine
![Michalis Vazirgiannis](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/12/Michalis-Vazirgiannis-292x292.png)
Michalis Vazirgiannis
[intermediate/advanced] Graph Machine Learning and Multimodal Graph Generative AI
![James Zou](https://deeplearn.irdta.eu/2024/wp-content/uploads/sites/8/2023/11/James-Zou-292x292.png)
James Zou
[introductory/intermediate] Large Language Models and Biomedical Applications [videorecorded]