
Wolfram Burgard
Probabilistic and Deep Learning Techniques for Robot Navigation and Automated Driving

Tommaso Dorigo
Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities

Elaine O. Nsoesie
AI and Health Equity
Professors and courses

Sean Benson
[intermediate] Deep Learning for a Better Understanding of Cancer

Daniele Bonacorsi
[intermediate/advanced] Applied ML for High-Energy Physics

Thomas Breuel
[intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP

Hao Chen
[introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis

Jianlin Cheng
[introductory/intermediate] Deep Learning for Bioinformatics

Nadya Chernyavskaya
[intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics

Peng Cui
[introductory/advanced] Towards Out-Of-Distribution Generalization: Causality, Stability and Invariance

Sébastien Fabbro
[introductory/intermediate] Learning with Astronomical Data

Quanquan Gu
[intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks

Jiawei Han
[advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models

Awni Hannun
[intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning

Shirley Ho
[intermediate] Structured Machine Learning for Simulations

Tin Kam Ho
[introductory/intermediate] Deep Learning Applications in Natural Language Understanding

Timothy Hospedales
[intermediate/advanced] Deep Meta-Learning

Shih-Chieh Hsu
[intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering

Andrew Laine
[introductory/intermediate] Applications of AI in Medical Imaging

Tatiana Likhomanenko
[intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition

Peter Richtárik
[intermediate/advanced] Introduction to Federated Learning

Othmane Rifki
[introductory/advanced] Speech and Language Processing in Modern Applications

Mayank Vatsa
[introductory/intermediate] Small Sample Size Deep Learning

Yao Wang
[introductory/intermediate] Deep Learning for Computer Vision

Zichen Wang
[introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences

Alper Yilmaz
[introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization