Keynote speakers

Probabilistic and Deep Learning Techniques for Robot Navigation and Automated Driving

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

AI and Health Equity

[intermediate] Deep Learning for a Better Understanding of Cancer

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

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

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

[introductory/intermediate] Deep Learning for Bioinformatics

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

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

[introductory/intermediate] Learning with Astronomical Data

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

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

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

[intermediate] Structured Machine Learning for Simulations

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

[intermediate/advanced] Deep Meta-Learning

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

[introductory/intermediate] Applications of AI in Medical Imaging

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

[intermediate/advanced] Introduction to Federated Learning

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

[introductory/intermediate] Small Sample Size Deep Learning

[introductory/intermediate] Deep Learning for Computer Vision

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

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