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Today's Arts & Science events

Active learning is an important concept in machine learning, in which the learning algorithm is able to choose where to query the underlying ground truth to improve the accuracy of the learned model. As machine learning techniques come to be more commonly used in scientific computing problems, where data is often expensive to obtain, the use of active learning is expected to be particularly important in the design of efficient algorithms. In this work, we introduce a general framework for active learning in regression problems. Our framework extends the standard setup by allowing for general types of data, rather than merely pointwise samples of the target function. This generalization covers many cases of practical interest, such as data acquired in transform domains (e.g., Fourier data), vector-valued data (e.g., gradient-augmented data), data acquired along continuous curves, and, multimodal data (i.e., combinations of different types of measurements). Our framework considers random sampling according to a finite number of sampling measures and arbitrary nonlinear approximation spaces (model classes). We introduce the concept of generalized Christoffel functions and show how these can be used to optimize the sampling measures. We prove that this leads to near-optimal sample complexity in various important cases. This work focuses on applications in scientific computing, where, as noted, active learning is often desirable, since it is usually expensive to generate data. We demonstrate the efficacy of our framework for gradient-augmented learning with polynomials, Magnetic Resonance Imaging (MRI) using generative models and adaptive sampling for solving PDEs using Physics-Informed Neural Networks (PINNs).

When
December 5, 2023, 11 a.m. – 12 p.m.
Where
SGW campus LB - J.W. McConnell Building 921-04 (1400 De Maisonneuve Blvd. W.)
Speaker(s)
Dr. Ben Adcock (Simon Fraser University)




Upcoming Arts & Science events

The Informal Cities Working Group is promoted by the Center for Interdisciplinary Studies in Society and Culture (CISSC) from Concordia University.

When
December 7, 2023, 2 p.m. – 4 p.m.
Where
Sir George Williams Campus V Annex 311 (2110 Mackay)

Are you grappling with the overwhelming emotions that climate change brings?

When
December 7, 2023, 4:15 p.m. – 5:30 p.m.
Where
Sir George Williams Campus Henry F. Hall Building H-1269-3 (1455 De Maisonneuve Blvd. W.)
Speaker(s)
Aspen Murray, Evleen Kaur, Mara Tartamella, Di Wang, Brogan Stewart

Join the Department of Economics in welcoming Senator Leo Housakos and Senator Tony Loffreda to Concordia for an armchair conversation about economic policy and governmental institutions.

When
February 5, 2024, 1:15 p.m. – 2:30 p.m.
Where
Sir George Williams Campus John Molson Building ABCD (1450 Guy)
Speaker(s)
Anthony A. Noce, Leo Housakos, Tony Loffreda

The discussion aims to delve into the complex and evolving relationship between artificial intelligence and humanity.

When
February 6, 2024, 6 p.m. – 8 p.m.
Where
Sir George Williams Campus J.W. McConnell Building 125 (1400 De Maisonneuve Blvd. W.)
Speaker(s)
Thierry Lindor, Anne Nguyen, Vincent Boucher, Suzanne Kite

When
February 9, 2024, 3 p.m. – 5 p.m.
Where
SGW campus LB - J.W. McConnell Building 362 (1400 De Maisonneuve Blvd. W.)
Speaker(s)
Karin Nisenbaum, Renée Crown Professor in the Humanities and Assistant Professor in Philosophy, Syracuse University

When
March 15, 2024, 3 p.m. – 5 p.m.
Where
SGW campus LB - J.W. McConnell Building 362 (1400 De Maisonneuve Blvd. W.)
Speaker(s)
Tad Schmaltz, Professor of Philosophy, University of Michigan

When
March 21, 2024, 7 p.m. – 8:30 p.m.
Where
SGW campus EV - Engineering, Computer Science and Visual Arts Integrated Complex 1.165 (ground floor) (1515 St. Catherine W.)
Speaker(s)
Lisa McInerney

When
March 25, 2024, 3 p.m. – 5 p.m.
Where
SGW campus LB - J.W. McConnell Building 362 (1400 De Maisonneuve Blvd. W.)
Speaker(s)
Monique Deveaux, Canada Research Chair in Ethics and Global Change, University of Guelph

Join us for a Dynamics and Number Theory workshop! June 5-7, 2024 Concordia University - LB 928 1455 De Maisonneuve Blvd. W. Montreal, QC Participants: Rob Benedetto (Amherst College), Laura DeMarco (Harvard), Vesselin Dimitrov (Georgia Institute of Technology), Andrea Ferraguti (University of Brescia), Patrick Ingram (York University), Nicole Looper (University of Illinois at Chicago), Myrto Mavraki (University of Toronto), Matt Olechnowicz (Concordia University), Carlo Pagano (Concordia University), Joe Silverman (Brown University), Umberto Zannier (Scuola Normale Superiore)

When
June 5, 2024 – June 7, 2024 (all day)
Where
SGW campus LB - J.W. McConnell Building 928 (1400 De Maisonneuve Blvd. W.)




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