|
09:00
|
Registration (with coffee)
|
|
09:30
|
Welcome and Introduction
-
Louis Lyons
(Imperial College (GB))
Lydia Brenner
(Nikhef National institute for subatomic physics (NL))
|
|
10:00
|
Statistical Properties of Training & Generalization
-
Itay Lavie
(Harvard University)
Noam Levi
(Tel Aviv University) Prof.
Jonatan Kahn
(University of Toronto)
|
|
10:30
|
--- Q&A ---
|
|
10:45
|
--- Coffee Break ---
|
|
11:15
|
Uncertainty Quantification
-
Manuel Haußmann
(Universität Heidelberg)
Ramon Winterhalder
(Università degli Studi di Milano)
Maria Ubiali
(University of Cambridge (GB))
|
|
11:45
|
--- Q&A ---
|
|
|
09:00
|
Information Theory & Data Representation
-
Samuel Byrne Klein
(Universite de Geneve (CH))
Daniel Muthukrishna
(MIT)
Anna Scaife
(University of Manchester)
|
|
09:30
|
--- Q&A ---
|
|
09:45
|
Interpretability & Explainability
-
Rikab Gambhir
(Rutgers State Univ. of New Jersey (US))
Rikab Gambhir
Rikab Gambhir
(MIT)
Jesse Thaler
(MIT)
Luisa Lucie-Smith
|
|
10:15
|
--- Q&A ---
|
|
10:30
|
--- Coffee Break ---
|
|
11:00
|
Model Selection & Inductive Bias
-
Jan Tuzlic Offermann
(Brown University (US)) Prof.
Soledad Villar
(Johns Hopkins University)
Alexander Bogatskiy
(Flatiron Institute, Simons Foundation)
|
|
11:30
|
--- Q&A ---
|
|
11:45
|
Future Directions & Open Challenges
-
Lukas Alexander Heinrich
(Technische Universitat Munchen (DE))
Gaia Grosso
(IAIFI, MIT)
Vinicius Massami Mikuni
(Lawrence Berkeley National Lab. (US))
|
|