We would like to thank our sponsors for supporting the Fourth Symposium on Machine Learning and Dynamical Systems.
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Please visit the official webpage of the symposium here: https://sites.google.com/site/boumedienehamzi/home/fourth-symposium-on-machine-learning-and-dynamical-systems . To participate online, you can still register and get the Zoom link here: https://portal.fields.utoronto.ca/personal-portal/participation/2502 .
Since its inception in the 19th century through the efforts of Poincare and Lyapunov, the theory of dynamical systems addresses the qualitative behaviour of dynamical systems as understood from models. From this perspective, the modeling of dynamical processes in applications requires a detailed understanding of the processes to be analyzed. This deep understanding leads to a model, which is an approximation of the observed reality and is often expressed by a system of Ordinary/Partial, Underdetermined (Control), Deterministic/Stochastic differential or difference equations. While models are very precise for many processes, for some of the most challenging applications of dynamical systems (such as climate dynamics, brain dynamics, biological systems or the financial markets), the development of such models is notably difficult. On the other hand, the field of machine learning is concerned with algorithms designed to accomplish a certain task, whose performance improves with the input of more data. Applications for machine learning methods include computer vision, stock market analysis, speech recognition, recommender systems and sentiment analysis in social media. The machine learning approach is invaluable in settings where no explicit model is formulated, but measurement data is available. This is frequently the case in many systems of interest, and the development of data-driven technologies is becoming increasingly important in many applications. The intersection of the fields of dynamical systems and machine learning is largely unexplored, and the goal of this symposium is to bring together researchers from these fields to fill the gap between the theory of dynamical systems and machine learning in the following directions:
Machine Learning for Dynamical Systems: how to analyze dynamical systems on the basis of observed data rather than attempt to study them analytically.
Dynamical Systems for Machine Learning: how to analyze algorithms of Machine Learning using tools from the theory of dynamical systems.
09:00 to 09:45 |
Edward Ott, University of Maryland |
09:45 to 10:15 |
Juan-Pablo Ortega, Nanyang Technological University |
10:15 to 10:45 |
Coffee Break
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10:45 to 11:15 |
Lyudmila Grigoryeva, University of St. Gallen |
11:15 to 11:45 |
Daniel Gauthier, The Ohio State University |
11:45 to 12:15 |
Ying-Cheng Lai, Arizona State University |
12:15 to 13:00 |
Lunch Break
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13:00 to 13:30 |
Nozomi Akashi, Kyoto University |
13:30 to 14:15 |
No Title Specified
Miroslav Krstic, University of California, San Diego |
14:15 to 14:45 |
Kirsten Morris, University of Waterloo |
14:45 to 15:15 |
Coffee Break
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15:15 to 15:45 |
Qianxiao Li, National University of Singapore |
15:45 to 16:15 |
Umesh Vaidya, Clemson University |
16:15 to 16:45 |
Eduardo Sontag, Northeastern University |
09:00 to 09:45 |
Igor Mezic, University of California |
09:45 to 10:15 |
Yuka Hashimoto, NTT Network Service Systems Laboratories |
10:15 to 10:45 |
Coffee Break
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10:45 to 11:15 |
Matthew Colbrook, University of Cambridge |
11:15 to 11:45 |
Massimiliano Pontil |
11:45 to 12:15 |
Pietro Novelli, Istituto Italiano di Tecnologia |
12:15 to 13:00 |
Lunch Break
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13:00 to 13:30 |
Marian Mrozek, Wydział Matematyki i Informatyki, Uniwersytet Jagielloński |
13:30 to 14:00 |
Bogdan Batko, Jagiellonian University, Cracow |
14:00 to 14:30 |
Isao Ishikawa, Ehime University |
14:30 to 15:00 |
Closed-Loop Koopman Operator Approximation
James Forbes |
15:00 to 15:30 |
Coffee Break
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15:30 to 16:00 |
Giulia Livieri, The London School of Economics and Political Science |
16:00 to 16:30 |
Robert Szalai, University of Bristol |
16:30 to 17:00 |
Yannis Kevrekidis, Johns Hopkins University |
09:00 to 09:45 |
Lior Horesh, IBM Research |
09:45 to 10:15 |
Nicolas Boulle, University of Cambridge |
10:15 to 10:45 |
Coffee Break
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10:45 to 11:15 |
Karim Cherifi, Technical University of Berlin |
11:15 to 11:45 |
Jiequn Han, Flatiron Institute, Simons Foundation |
11:45 to 12:15 |
Michael Muehlebach, Max Planck Institute for Intelligent Systems |
12:15 to 13:30 |
Lunch Break
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13:30 to 14:00 |
John Harlim, The Pennsylvania State University |
14:00 to 14:30 |
Jan Drgona, Pacific Northwest National Laboratory |
14:30 to 15:00 |
Ka Man Yim, Cardiff University |
15:00 to 15:30 |
Coffee Break
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15:30 to 16:00 |
Heba Sailem, King's College London |
16:00 to 16:30 |
Machine Learning for Single-Cell Regulatory Program Inference
Hatice Osmanbeyoglu, University of Pittsburgh |
09:00 to 09:45 |
Chris Budd, University of Bath |
09:45 to 10:15 |
Anas Barakat, ETH Zürich |
10:15 to 10:45 |
Coffee Break
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10:45 to 11:15 |
Molei Tao, Georgia Institute of Technology |
11:15 to 11:45 |
Lorenz Richter, Zuse Institute Berlin |
11:45 to 12:15 |
Markus Abel, Ambrosys GmbH |
12:15 to 13:30 |
Lunch Break
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13:30 to 14:00 |
Lisa Maria Kreusser, University of Bath |
14:00 to 14:30 |
George Stepaniants, Massachusetts Institute of Technology |
14:30 to 15:00 |
Soon Hoe Lim, Nordita, KTH Royal Institute of Technology and Stockholm University |
15:00 to 15:30 |
Coffee Break
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15:30 to 16:00 |
Matthew Levine, Broad Institute of MIT/Harvard |
16:00 to 16:30 |
Edmilson Roque dos Santos |
16:30 to 17:00 |
Edward De Brouwer, Yale University |
09:00 to 09:45 |
Erik Bollt, Clarkson University |
09:45 to 10:15 |
Cristopher Salvi, Imperial College London |
10:15 to 10:45 |
Coffee Break
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10:45 to 11:15 |
Fei Lu, Johns Hopkins University |
11:15 to 11:45 |
Gilles Tissot, Inria Rennes |
11:45 to 12:15 |
Jeoren Lamb, Imperial College London |
12:15 to 14:00 |
Lunch Break
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14:00 to 14:30 |
Florian Schaefer, Georgia Insititue of Technology |
14:30 to 15:00 |
William Gilpin, University of Texas - Austin |
15:00 to 15:30 |
Kamaludin Dingle, Gulf University for Science and Technology |
15:30 to 16:00 |
Boumediene Hamzi, California Institute of Technology |
16:00 to 16:30 |
Coffee Break
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We would like to thank our sponsors for supporting the Fourth Symposium on Machine Learning and Dynamical Systems.
.