The power of women in deep learning

Workshop theme

Women are underrepresented in data science. This is even more true when focusing on the interface between mathematics and deep learning. This workshop aims to showcase some of the amazing work that women are doing in the mathematical foundation of deep learning, encouraging early career women in mathematical data science and inspiring them to consider a career in this exciting area of mathematics. This event is also meant as an opportunity for networking, for exchanging experiences and providing advice.

The workshop will feature a combination between long tutorial-like talks by prominent women in deep learning, short talks combined with posters by early career women and a panel discussion.

Speakers:
Andrea Bertozzi, UCLA https://www.math.ucla.edu/~bertozzi/
Ingrid Daubechies, Duke https://scholars.duke.edu/person/ingrid.daubechies
Stefanie Jegelka, MIT https://people.csail.mit.edu/stefje/
Gitta Kutyniok, LMU https://www.ai.math.uni-muenchen.de/members/professor/kutyniok/index.html
Caroline Uhler, MIT https://www.carolineuhler.com
Rachel Ward, UT Austin, https://www.oden.utexas.edu/people/1143/
Marinka Zitnik, Harvard https://zitniklab.hms.harvard.edu

Due to the ongoing COVID-19 pandemic, all non-UK based applicants should attend this event virtually.

Fees

Registration Only

Registration Package: £128
Student Registration Package: £108

The Registration Package includes admission to all seminars, lunches and refreshments on the days that lectures take place, wine reception and formal dinner, but does not include other meals or accommodation. Formal Dinner Only

Formal Dinner: £50

Participants on the Accommodation Package or Registration Package, including organisers and speakers, are automatically included in this event. For all remaining participants who would like to attend, such as programme participants, the above charge will apply.

Accommodation

Unfortunately we do not have any accommodation to offer so all successful applicants will need to source their own accommodation.

Please see the Hotels Combined website for a list of local hotels and guesthouses.

Meals

Lunch Lunch timings and location will be confirmed with timetable.

Evening Meal Participants are free to make their own arrangements for dinner.

Formal Dinner The Formal Dinner location and date is to be confirmed.

Participants on the Accommodation Package or Registration Package, including organisers and speakers, are automatically included in this event

Photo Gallery

Timetable

Monday 22nd November 2021
11:00 to 12:00	Registration	No Room Required
12:00 to 12:10	Christie Marr Isaac Newton Institute Welcome Talk	Room 1
12:10 to 12:30	Organiser Introduction	Room 1
12:30 to 13:30	Lunch and Networking	No Room Required
13:30 to 14:30	Rachel Ward University of Texas at Austin Chair: Carola-Bibiane Schönlieb, Moderator : Andreas Hauptmann Stochastic Gradient Descent, In Theory and Practice	Room 1
14:30 to 15:30	Ingrid Daubechies Duke University Chair: Carola-Bibiane Schönlieb, Moderator : Andreas Hauptmann Neural Networking Approximation Properties	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 17:00	Chair: Christie Marr Panel Discussion	No Room Required
17:00 to 18:00	Welcome Wine Reception at INI	No Room Required
19:30 to 22:00	Formal Dinner	No Room Required

Tuesday 23rd November 2021
09:30 to 10:30	Gitta Kutyniok Ludwig-Maximilians-Universität München Chair: Rima Alaifari, Moderator: Angelica Aviles-Rivero Graph Convolutional Neural Networks: The Mystery of Generalization	Room 1
10:30 to 11:00	Morning Coffee	No Room Required
11:00 to 12:00	Chair: Gitta Kutyniok, Moderator : Hankui Peng Elevator pitches	Room 1
12:00 to 13:00	Stefanie Jegelka Massachusetts Institute of Technology Chair: Gitta Kutyniok, Moderator : Hankui Peng Learning and Extrapolation in Graph Neural Networks	Room 1
13:00 to 13:30	Lunch	No Room Required
13:30 to 14:00	Networking and Poster Session	Discussion Room
14:00 to 15:00	Marinka Zitnik Harvard University Chair: Mateja Jamnik, Moderator: Subhadip Mukherjee Infusing Structure and Knowledge into Biomedical AI Algorithms	Room 1
15:00 to 16:00	Caroline Uhler Massachusetts Institute of Technology Chair: Mateja Jamnik, Moderator: Subhadip Mukherjee Autoencoders and Causality in the Light of Drug Repurposing for COVID-19	Room 1
16:00 to 16:30	Afternoon Tea	No Room Required
16:30 to 17:30	Andrea Bertozzi University of California, Los Angeles Chair: Tatiana Bubba & Angelica Aviles-Rivero Geometric graph-based Methods for High Dimensional Data	Room 1

Organisers

Rima Alaifari ETH Zürich
Mateja Jamnik University of Cambridge
Gitta Kutyniok Technische Universität Berlin
Carola-Bibiane Schönlieb University of Cambridge

Speakers

Andrea Bertozzi University of California, Los Angeles
Ingrid Daubechies Duke University
Stefanie Jegelka Massachusetts Institute of Technology
Gitta Kutyniok Technische Universität Berlin
Christie Marr Isaac Newton Institute
Caroline Uhler Massachusetts Institute of Technology
Rachel Ward University of Texas at Austin
Marinka Zitnik Harvard University

Participants

Ben Adcock Simon Fraser University
Rima Alaifari ETH Zürich
Maram Alossaimi University of Sheffield
Héctor Andrade Loarca Ludwig-Maximilians-Universität München
Simon Arridge University College London
Angelica I. Aviles-Rivero University of Cambridge
Coloma Ballester Universitat Pompeu Fabra
Sílvia Barbeiro Universidade de Coimbra
Francesca Bartolucci ETH Zürich
Karin Baur University of Leeds; Karl-Franzens-Universität Graz
Martin Benning Queen Mary University of London
Julius Berner University of Vienna
Andrea Bertozzi University of California, Los Angeles
Marta Betcke University College London
Tatiana Alessandra Bubba University of Cambridge
Christopher Budd University of Bath
Martin Burger Universität Erlangen-Nürnberg
Helmut Bölcskei ETH Zürich
Maria Cabrera calvo Sorbonne Université
Basak Cakmak Ontario Tech University
Robert Calderbank Duke University
Marcello Carioni Cambridge Centre for Analysis
Jose A Carrillo University of Oxford
Coralia Cartis University of Oxford
Marta Casanellas Rius Universitat Politècnica de Catalunya
Elena Celledoni Norwegian University of Science and Technology
Anna Maria Cherubini Universita' del Salento
Alberto J Coca University of Cambridge
Grace Colverd University of Cambridge
Rama Cont University of Oxford
Elisabetta Cornacchia EPFL - Ecole Polytechnique Fédérale de Lausanne
Ingrid Daubechies Duke University
Praveen Kumar Dhankar Rashtrasant Tukadoji Maharaj Nagpur University
Willem Diepeveen University of Cambridge
Nargiza Djurabekova University College London
Eliana Duarte Universidade do Porto
Margaret Duff University of Bath
Emiko Dupont University of Bath
Raluca Eftimie Université de Franche-Comté
Dennis Elbrächter University of Vienna
Yonina Eldar Weizmann Institute of Science
Lorena Escudero University of Cambridge
Christian Etmann University of Cambridge
Asja Fischer Ruhr-Universität Bochum
Andrew Fitzgibbon Microsoft (UK)
Luca Eva Gazdag University of Oslo
Silvia Gazzola University of Bath
Carina Geldhauser Lund University
Jehan Ghafuri University of Buckingham
Julian Gilbey University of Cambridge
Alex Goessmann Technische Universität Berlin
Arthur Gretton University College London
Rémi Gribonval INRIA Rennes - Bretagne Atlantique
Philipp Grohs University of Vienna; Austrian Academy of Sciences
Tamara Grossmann University of Cambridge
Steffen Grunewalder Lancaster University - Mathematics and Statistic Dept.
Stefanie Günther Lawrence Livermore National Laboratory
Andreas Hauptmann University of Oulu
Catherine Higham University of Glasgow
Michael Hintermüller Weierstraß-Institut für Angewandte Analysis und Stochastik; Humboldt-Universität zu Berlin
Evelyne Hubert INRIA Sophia Antipolis
Mateja Jamnik University of Cambridge
Stefanie Jegelka Massachusetts Institute of Technology
Varun Jog University of Cambridge
George Karniadakis Brown University
Kenji Kawaguchi Harvard University
Dari Kimarius MRC Laboratory of Molecular Biology
Stefan Kolek Martinez de Azagra Ludwig-Maximilians-Universität München
Yury Korolev University of Cambridge
Kirandeep Kour Max Planck Institute for Dynamics of Complex Technical Systems
Lisa Maria Kreusser University of Cambridge; Bath Institute for Mathematical Innovation
Kaie Kubjas Aalto University
Gitta Kutyniok Ludwig-Maximilians-Universität München
Jonas Latz Heriot-Watt University
Jason Lee University of Southern California
Yunseok Lee Ludwig-Maximilians-Universität München
Po-Ling Loh University of Cambridge
Yi Ma University of California, Berkeley
Tengyu Ma Stanford University
Dimitra Maoutsa Technische Universität Berlin
Sohir Maskey Ludwig-Maximilians-Universität München
Estelle Massart University of Oxford; National Physical Laboratory
Hrushikesh Mhaskar Claremont Graduate University
Evgeniia Mishchenko Novosibirsk State University
Guido Montufar Max-Planck-Institut für Mathematik, Leipzig; University of California, Los Angeles
Subhadip Mukherjee University of Cambridge
Davide Murari NTNU
Nicole Mücke Technische Universität Berlin
Klaus-Robert Müller Technische Universität Berlin
Sebastian Neumayer Technische Universität Berlin
Richard Nickl University of Cambridge
Shilei Niu Xi'an Jiaotong- Liverpool University
Verrah Otiende United States International University Africa (USIU)
Brynjulf Owren Norwegian University of Science and Technology
Mirjeta Pasha Arizona State University
Hankui Peng University of Cambridge
Dusanka Perisic University of Novi Sad
Gabriel Peyre CNRS - Ecole Normale Superieure Paris
Sebastian Pokutta Technische Universität Berlin; Konrad-Zuse-Zentrum für Informationstechnik Berlin
Clarice Poon University of Bath
Luca Ratti Università degli Studi di Genova
Alejandro Ribeiro University of Pennsylvania
Jezabel Rodriguez Garcia MediaTek Research
Christina Runkel University of Cambridge
Malena Sabaté Landman Cambridge Mathematics of Information in Healthcare
Palina Salanevich Universiteit Utrecht
Diyora Salimova ETH Zürich
Philipp Scholl Ludwig-Maximilians-Universität München
Johannes Schwab MRC Laboratory of Molecular Biology
Nilo Schwencke Université Paris Saclay; ENSAE (École Nationale de la Statistique et de l'Administration)
Carola-Bibiane Schönlieb University of Cambridge; Cambridge Mathematics of Information in Healthcare
Hanie Sedghi Google Brain
Zouwei Shen National University of Singapore
Ferdia Sherry University of Cambridge
Chen SHI Université de Rouen
Chirag Varun Shukla Ludwig-Maximilians-Universität München
Nathan Srebro Toyota Technological Institute; University of Chicago
Hong Ye Tan University of Cambridge
Junqi Tang University of Cambridge
Jared Tanner University of Oxford
Matthew Thorpe University of Manchester
Sheung Tsun Tsou University of Oxford
Caroline Uhler Massachusetts Institute of Technology
Eric Vanden-Eijnden Courant Institute of Mathematical Sciences; New York University
Soledad Villar Johns Hopkins University
Tiffany Vlaar University of Edinburgh
Irene Waldspurger CNRS & Université Paris-Dauphine
Fengpei Wang University of Bath
Deqing Wang Chinese Academy of Sciences
Melanie Weber University of Oxford
Elisabeth Wetzer Uppsala Universitet
Chhavi Yadav UC San Diego
Dan Yao Heriot-Watt University
Yang Zhou University of Bath; Met Office
Marinka Zitnik Harvard University
Ozan Öktem KTH - Royal Institute of Technology; Heriot-Watt University

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