| 7:30 - 8:30 | Breakfast (Sea Star South Meeting Room) |
| 8:45 - 8:55 | Opening remarks from Organizers |
| 8:55 - 9:00 | Brief statement from videotaping crew |
| 9:00 - 12:30 | Session I: Overview of Machine Learning |
| 9:00 - 10:00 | Statistical physics and machine learning: A 30 years perspective
Naftali Tishby (Hebrew University of Jerusalem) |
| 10:00 - 10:30 | Machine learning and the renormalization group
Maciej Koch-Janusz (Swiss Federal Institute of Technology in Zurich) |
| 10:30 - 11:00 | Coffee Break |
| 11:00 - 11:30 | Opportunities for infusing physics into AI/ML algorithms
Animashree Anandkumar (California Institute of Technology) |
| 11:30 - 12:00 | Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks
Yoav Levine (Hebrew University of Jerusalem) |
| 12:00 - 12:30 | On Learning Graph Inverse Problems with Neural Networks
Joan Bruna (New York University) |
| 12:30 - 1:30 | Lunch (Terrace) |
| 1:30 - 2:00 | Free time |
| 2:00 - 5:30 | Session II: Machine Learning in Astro and Particle Physics |
| 2:00 - 3:00 | Promise and Challenges of Machine Learning in Particle Physics, Astrophysics, and Cosmology
Kyle Cranmer (New York University) |
| 3:00 - 3:30 | Deep Learning for Science: Steps to opening the blackbox
Shirley Ho (Flatiron Institute and Princeton University) |
| 3:30 - 4:00 | Coffee Break |
| 4:00 - 4:30 | Understanding Neutrino Interactions Using Deep Learning
Adam Aurisano (University of Cincinnati) |
| 4:30 - 5:00 | Statistical challenges in cosmological distance measurements
Markus Rau (Carnegie Mellon University) |
| 5:00 - 5:30 | Deep learning for generation of events and processes in particle Physics, cosmology, and fluid dynamics
Karthik Kashinath (National Energy Research Scientific Computing Center) |
| 5:30 - 7:00 | Free time |
| 7:00 | Dinner in the Aquarium (Coliseum) |
| 7:30 - 8:15 | Breakfast (Sea Star South Meeting Room) |
| 9:00 - 12:30 | Session III: Machine Learning in Quantum Many-Body Physics |
| 9:00 - 10:00 | Learning quantum states with generative models
Juan Carrasquilla (Vector Institute for Artificial Intelligence) |
| 10:00 - 10:30 | Neural-Network and String-Bond States: From Chiral Topological Order to Image Recognition
Ignacio Cirac (Max-Planck-Institute for Quantum Optics) |
| 10:40 - 11:00 | Coffee Break |
| 11:00 - 11:30 | Predicting energies from electron densities: Machine learning for reactive molecular dynamics
Leslie Vogt (New York University) |
| 11:30 - 12:00 | Neural Network Renormalization Group
Lei Wang (Chinese Academy of Sciences) |
| 12:00 - 12:30 | From Physics to Machine-learning and Back
Edgar A. Engel (Swiss Federal Institute of Technology in Lausanne) |
| 12:30 - 1:30 | Lunch (Terrace) |
| 1:30 - 2:00 | Free time |
| 2:00 - 4:00 | Session IV: Applied and Instrumental Physics |
| 2:00 - 3:00 | Optical random features for large-scale machine learning
Laurent Daudet (Paris Diderot University / LightOn.io) |
| 3:00 - 3:30 | Intelligent Controls for Particle Accelerators and Other Research and Industrial Infrastructures
Sandra Biedron (University of New Mexico) |
| 3:30 - 4:00 | Machine learning in biology: Teaching an autonomous glider to soar like a bird
Gautam Reddy (University of California, San Diego) |
| 4:15 - 7:00 | Reception/Meet the Editors (Bus from hotel to editorial office and back) |
| 7:00 | Dinner at the editorial office |
| 7:30 - 8:30 | Breakfast (Sea Star South Meeting Room) |
| 9:00 - 12:30 | Session V: Miscellaneous Topics; Quantum Machine Learning, Machine Learning in Biophysics and Classical Physics |
| 9:00 - 10:00 | Making quantum algorithms learn from data
Maria Schuld (University of KwaZulu-Natal) |
| 10:00 - 10:30 | From Reinforcement Learning to Spin Glasses: The Many Surprises on Quantum State Preparation
Pankaj Mehta (Boston University) |
| 10:30 - 11:00 | Coffee Break |
| 11:00 - 11:30 | Using Machine Learning for Analysis and Prediction of High-Dimensional Spatiotemporal Chaotic Dynamical Systems
Jaideep Pathak (University of Maryland) |
| 11:30 - 12:00 | Advances in machine learned potentials for molecular dynamics simulation
Kipton Barros (Los Alamos National Laboratory) |
| 12:30 | Lunch (Terrace) and Conclusion of Workshop |