![speakers-kumar](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/05/speakers-kumar.jpg)
Vipin Kumar
Knowledge-Guided Deep Learning: A Framework for Accelerating Scientific Discovery
![William S. Noble](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/10/William-S.-Noble-e1666678907940.jpg)
William S. Noble
Deep Learning Applications in Mass Spectrometry Proteomics and Single-Cell Genomics
![Emma Tolley](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/11/Emma-Tolley-e1668870859181.jpg)
Emma Tolley
Physics-Informed Deep Learning
Professors and courses
![Babak Ehteshami Bejnordi](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/12/Babak-Ehteshami-Bejnordi.jpg)
Babak Ehteshami Bejnordi
[intermediate/advanced] Conditional Computation for Efficient Deep Learning with Applications to Computer Vision, Multi-Task Learning, and Continual Learning
![speakers-gleyzer](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/05/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
![speakers-goldberger](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/05/speakers-goldberger.jpg)
Jacob Goldberger
[introductory/intermediate] Calibration Methods for Neural Networks
![Christoph Lampert](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/11/Christoph-Lampert-e1668612597482.jpg)
Christoph Lampert
[intermediate] Training with Fairness and Robustness Guarantees
![speakers-jingbian](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/05/speakers-jingbian.jpg)
Yingbin Liang
[intermediate/advanced] Bilevel Optimization and Applications in Deep Learning
![Xiaoming Liu](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/10/Xiaoming-Liu-1-e1672864645576-292x292.jpg)
Xiaoming Liu
[intermediate] Deep Learning for Trustworthy Biometrics
![Michael Mahoney](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/11/Michael-Mahoney.jpg)
Michael Mahoney
[intermediate] Practical Neural Network Theory: From Statistical Mechanics Basics to Working with State of the Art Models
![Liza Mijovic](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/11/Liza-Mijovic-e1676380541468-292x292.jpg)
Liza Mijovic
[introductory/intermediate] Deep Learning & the Higgs Boson: Classification with Fully Connected and Adversarial Networks
![Bhiksha Raj](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/10/Bhiksha-Raj.jpg)
Bhiksha Raj
[introductory] An Introduction to Quantum Neural Networks [with Rita Singh, Daniel Justice and Prabh Baweja]
![Holger Rauhut](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/12/Holger-Rauhut-e1671612500424.jpg)
Holger Rauhut
[intermediate] Gradient Descent Methods for Learning Neural Networks: Convergence and Implicit Bias
![Bart ter Haar Romeny](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/10/Bart-ter-Haar-Romeny.jpg)
Bart ter Haar Romeny
[intermediate/advanced] Explainable Deep Learning from First Principles
![Tara Sainath](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/11/Tara-Sainath.jpg)
Tara Sainath
[advanced] E2E Speech Recognition [virtual]
![Martin Schultz](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/10/Martin-Schultz.jpg)
Martin Schultz
[intermediate] Deep Learning for Air Quality, Weather and Climate
![Adi Laurentiu Tarca](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/11/Adi-Laurentiu-Tarca-e1667317255448.jpg)
Adi Laurentiu Tarca
[intermediate] Machine Learning for Cross-Sectional and Longitudinal Omics Studies
![Michalis Vazirgiannis](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/10/Michalis-Vazirgiannis.jpg)
Michalis Vazirgiannis
[intermediate/advanced] Graph Machine Learning with GNNs and Applications
![Atlas Wang](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/11/Atlas-Wang-e1668099579623.jpg)
Atlas Wang
[intermediate] Sparse Neural Networks: From Practice to Theory
![Guo-Wei Wei](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/10/Guo-Wei-Wei.jpg)
Guo-Wei Wei
[introductory/advanced] Discovering the Mechanisms of SARS-CoV-2 Evolution and Transmission [virtual]
![Lei Xing](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/11/Lei-Xing.jpg)
Lei Xing
[intermediate] Deep Learning for Medical Imaging and Genomic Data Processing: from Data Acquisition, Analysis, to Biomedical Applications
![Xiaowei Xu](https://deeplearn.irdta.eu/2023sp/wp-content/uploads/sites/6/2022/10/Xiaowei-Xu.jpg)
Xiaowei Xu
[intermediate/advanced] From Transformer to ChatGPT and beyond: How Large Language Models Revolutionize AI?