Keynote speakers

Knowledge-Guided Deep Learning: A Framework for Accelerating Scientific Discovery

Deep Learning Applications in Mass Spectrometry Proteomics and Single-Cell Genomics

Physics-Informed Deep Learning

[intermediate/advanced] Conditional Computation for Efficient Deep Learning with Applications to Computer Vision, Multi-Task Learning, and Continual Learning

[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

[introductory/intermediate] Calibration Methods for Neural Networks

[intermediate] Training with Fairness and Robustness Guarantees

[intermediate/advanced] Bilevel Optimization and Applications in Deep Learning

[intermediate] Deep Learning for Trustworthy Biometrics

[intermediate] Practical Neural Network Theory: From Statistical Mechanics Basics to Working with State of the Art Models

[introductory/intermediate] Deep Learning & the Higgs Boson: Classification with Fully Connected and Adversarial Networks

[introductory] An Introduction to Quantum Neural Networks [with Rita Singh, Daniel Justice and Prabh Baweja]

[intermediate] Gradient Descent Methods for Learning Neural Networks: Convergence and Implicit Bias

[intermediate/advanced] Explainable Deep Learning from First Principles

[advanced] E2E Speech Recognition [virtual]

[intermediate] Deep Learning for Air Quality, Weather and Climate

[intermediate] Machine Learning for Cross-Sectional and Longitudinal Omics Studies

[intermediate/advanced] Graph Machine Learning with GNNs and Applications

[intermediate] Sparse Neural Networks: From Practice to Theory

[introductory/advanced] Discovering the Mechanisms of SARS-CoV-2 Evolution and Transmission [virtual]

[intermediate] Deep Learning for Medical Imaging and Genomic Data Processing: from Data Acquisition, Analysis, to Biomedical Applications

[intermediate/advanced] From Transformer to ChatGPT and beyond: How Large Language Models Revolutionize AI?