Fundamental Science in the era of AI

Richard Armstrong · Bruce Bassett · Michelle Lochner · Nadeem Oozeer


(Note: Workshop posters and instructions are on the workshop site. Password for the zoom link is: seaslug .)

Description: In this ICLR workshop, we will explore the intersection of big science and AI and the changing nature of good fundamental research in the era of pervasive AI. The workshop will also examine how AI can enhance the social good of Big Science, relevant for the African continent given that the Square Kilometre Array (SKA), which will be one of the largest astronomical endeavors ever undertaken, will be majority hosted in Africa. In addition this workshop aims to stimulate discussion across astronomy, cosmology and particle physics.
SundayApril 26, 2020
11:30 - 11:50 GMT+0FSAI - Registration/ Workshop setup
11:50 - 12:00 GMT+0FSAI - Opening remarks, format, flow, philosophy
12:00 - 12:25 GMT+0FSAI - Invited Talk 1, Francois Lanusse - Robust uncertainty quantification through bridging physical and deep learning models in a Bayesian context
12:25 - 12:35 GMT+0FSAI - Contributed Talk 1 - Lorenzo Zanisi - Astronomical images as a playground to understand OoD behavior of generative models
12:35 - 12:45 GMT+0FSAI - Contributed Talk 2, Ryan-Rhys Griffiths - Enhancing the Diversity of Molecular Machine Learning Benchmarks: An Open-Source Dataset for Molecular Photoswitches
12:45 - 13:15 GMT+0FSAI - Coffee Break
13:15 - 13:30 GMT+0FSAI - Poster Session 1
13:30 - 13:55 GMT+0FSAI - Invited Talk 2, Anais Moeller - ML & Bayesian Deep Learning in time-domain astronomy & cosmology
13:55 - 14:05 GMT+0FSAI - Contributed Talk 3, Keming Zhang, Cyclic-Permutation Invariant Networks for Modeling Periodic Time Series
14:05 - 14:15 GMT+0FSAI - Contributed Talk 4, Chandan Singh, Transformation Importance with Applications to Cosmology
14:15 - 15:00 GMT+0FSAI - Panel Discussion 1 - “Unknown Unknowns” + "Rigorous and interpretable Fundamental Science"
15:00 - 15:45 GMT+0FSAI - MEAL break and informal discussion - Zoom room ID# ?
15:45 - 16:10 GMT+0FSAI - Invited Talk 3, Pavlos Protopapas - Embedding Symmetries in Deep Neural Networks
16:10 - 16:35 GMT+0FSAI - Invited Talk 4, Benjamin Nachman - Simulation-based and model-free learning for particle physics
16:35 - 16:45 GMT+0FSAI - Contributed Talk 5, Joao Caldeira -Becoming more certain about uncertainty: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms
16:45 - 16:55 GMT+0FSAI - Contributed Talk 6, Layne Price - Robust posterior inference when statistically emulating forward simulations
16:55 - 17:40 GMT+0FSAI - Panel Discussion 2 - Good science and social good
17:40 - 18:00 GMT+0FSAI - Coffee Break
18:00 - 18:30 GMT+0FSAI - Poster Session 2
18:30 - 18:55 GMT+0FSAI - Invited Talk 5, Ashish Mahabal - Better Society through Big Projects and Big Data
18:55 - 19:00 GMT+0FSAI - Closing Remarks and Way Forward