Neural Collapse
XY Han
SILO Seminar
Wisconsin Institute for Discovery, 14 September 2022 (Talk [60 mins])
International Conference on Learning Representations(ICLR 2022)
Virtual, 26 April 2022 (Oral [15 min] & Outstanding Paper Prize 🏆)
Virtual, 27 April 2022 (Poster [5 min])
Codes and Expansions (CodEx) Seminar
Colorado State University, 5 October 2021 (Talk [50 min])
Survey Descent: A Multipoint Generalization of Gradient Descent for Nonsmooth Optimization
XY Han
International Conference on Continuous Optimization (ICCOPT 2022)
Lehigh University, 25 July 2022 (Best Paper Prize Finalist 🏆)
Lehigh University, 26 July 2022 (Parallel Session)
Journées de l’Optimisation 2022: Optimization Days
HEC Montreal, 17 May 2022
INFORMS Optimization Society Conference
Clemson University, 14 March 2022
AI and the Photoarchive
XY Han, John McQuaid, Vardan Papyan
Digital Methods for the Humanities
Stockhom University, 9 September 2021
Technological Revolutions and Art History
The Frick Art Reference Library and Museum of Modern Art, 11 March 2021
Digital Approaches to Art History and Cultural Heritage
Oxford University, 5 March 2021
A Simple Theoretical Model for Overparameterization
XY Han
ORIE 7990: Topics in Applied Statistics (Guest Lecturer),
Cornell University, 5 May 2020.
Exploratory Data Analysis, Painlessly
XY Han
STATS 285: Massive Computational Experiments, Painlessly (Speaker Series),
Stanford University, 5 April 2019.
Stanford University, 7 October 2019.
A Simple Low-Dimensional Structure in the Last Layer of Deep Nets
XY Han, Vardan Papyan, and David Donoho.
The Science of Deep Learning (Slacker Colloquium),
National Academy of Sciences, 14 March 2019. (Poster)
Amplifying Art Cataloguer Productivity: Making Small Data Count
XY Han, Vardan Papyan, and David Donoho.
Scientific Methods in Cultural Heritage Research,
Gordan Research Conference (GRC), 23 July 2018. (Poster)
A Paradigm for Research in Data Science
Vardan Papyan, XY Han, Hatef Monajemi, Qingyun Sun, and David Donoho.
Symposium on Data Science and Statistics (SDSS),
American Statistical Association (ASA), 18 May 2018.
Experiences with Deep Learning for Multi-Label Art Classification
XY Han, Vardan Papyan, and Anastasia Levadas.
Searching Through Seeing (Symposium Series),
The Frick Art Reference Library, 13 April 2018.
X.Y. Han 