AIM2023 | Mathematics of Computational Sciences

second workshop on AI and Mathematics
connecting the mathematics clusters

The second AIM workshop is organized by the Dutch Mathematics Clusters and its goal is to highlight the role of mathematics as a key enabling technology within the emerging field of scientific machine learning and bring together researchers across mathematics. Artificial Intelligence (AI) will have a growing impact on all sciences and business sectors, our private lives, and society as a whole. It is pre-eminently a multi-disciplinary technology that connects scientists from a wide variety of research areas, from behavioral science and ethics to mathematics and computer science. Without downplaying the importance of its interdisciplinary nature, it is apparent that mathematics can and should play an active role.
As Robbert Dijkgraaf observed in NRC in May 2019: ''Artificial intelligence is in its adolescent phase, characterized by trial and error, self-aggrandizement, credulity and lack of systematic understanding''. Mathematics can contribute to this much-needed systematic understanding of AI and at the same time lay the groundwork for further improvements.

The two-day program showcases recent research on the interface between mathematics and AI. There will be plenty of time for informal discussions, as well as strategic sessions.

Registration

If you have any questions, please contact us at: aim@nwo.nl

Accommodation

You can book rooms yourself directly at the following hotels:

U-Park Hotel (on campus): arriving on the 1st of June 2023.
U-Park Hotel (on campus)
- Comfort rooms used by 1 person á € 106.00 per room, per night (only 10 available).
- Superior rooms used by 1 person á € 116.00 per room, per night (only 5 available).
  The above prices include breakfast for 1 person and exclude tourist tax of € 2.80 per person, per night. For a double room, there is a surcharge of € 16.50 per night for breakfast.
  A reservation can be made by emailing: bookings@uparkhotel.nl with the reference "AIM-June2023".
  Bookings received after 20 April 2023 are handled by availability.
Fletcher hotel "De Broeierd" (near campus): arriving on the 31st of May or on the 1st of June
Fletcher Hotel "De Broeierd" (near campus)
- Room with 2 single beds used by 1 person: € 96.50 Overnight stay without breakfast. Breakfast to be ordered extra € 16,50
- Room with 2 single beds used by 2 persons € 114,00 Overnight stay without breakfast. Breakfast to be ordered extra € 16,50
  A reservation can be made by emailing: kantoor@fletcherhotelenschede.nl with the reference "105-GFC3254".
  Bookings received after 3 April 2023 are handled by availability.
IntercityHotel Enschede (near train and bus station Enschede city center): arriving on the 31st of May or on the 1st of June.
- IntercityHotel Enschede (near train and bus station Enschede city center)
  Standard room for 1 person including breakfast €117.50 per room per night.
  Standard room for 2 persons including breakfast €136.50 per room per night.
  A reservation can be made by emailing this form to: enschede@intercityhotel.com.
  Bookings received after 30 April 2023 are handled by availability.

Organizing team

Christoph Brune (UT, chair)
Leo van Iersel (TUD, co-chair)
Tristan van Leeuwen (CWI, co-chair)
Tim van Erven (UvA, co-chair)
Olivia Muthsam (NWO)
Mariëlle Slotboom (UT)

Session Chairs

Geometric Deep Learning session chairs: Remco Duits (TU/e, NDNS+), Bram Mesland (LEI, GQT)
Learned Optimization session chairs: Barbara Franci (UM, STAR), Julia Olkhovskaya (VU, DIAMANT)
Robust AI session chairs: Tim van Erven (UvA, STAR), Sophie Langer (UT, STAR)
Scientific Machine Learning chairs: Benjamin Sanderse (CWI), Tristan van Leeuwen (CWI)

Program Thursday 01 June

09:00 - 10:00	Arrival and registration at the Vrijhof (building 47 on the campus map)
10:00	Opening AIM team
10:15 - 11:15	Session Scientific ML Benjamin Sanderse (CWI) "Structure-preserving learning of embedded closure models" Philipp Horn (TU/e) "A Generalized Framework of Neural Networks for Hamiltonian Systems"
11:15 - 11:30	Coffee break
11:30 12:30	Session Scientific ML Tristan van Leeuwen (CWI) "A data-driven approach to solving a 1D inverse scattering problem" Marcello Carioni (UT) "Learning regularizers for inverse problems via Optimal Transport"
12:30 – 14:00	Lunch break
14:00 - 15:00	Session Geometric DL Jelmer Wolterink - UT, Mathematics of Imaging and AI "Geometric deep learning and neural fields in precision medicine" Gautam Pai - TU/e, Geometric Learning and Differential Geometry "Functional properties of PDE-based group equivariant convolutional neural networks (PDE-G-CNNs)"
15:00 – 15:15	Coffee break
15:15 - 16:15	Session Geometric DL Sharvaree Vadgama - UvA, Amsterdam Machine Learning Lab "Learning shapes through Kendall Shape VAEs framework" (digital presentation) Maxim Pisarenco - ASML (Senior Scientist Machine Learning) "Teaching machines to understand SEM images"
16:30 – 17:30	Podium discussion involving the audience Panel members: Wil Schilders (TU/e) Karen Aardal (TUD) Tim van Erven (UvA) Richard Boucherie (UT)
17:30 – 18:30	Drinks and group photo
18:30 – 20:00	Workshop dinner at Vrijhof Theatercafe

Program Friday 02 June

08:45 – 09:00	Arrival and registration
09:00 - 09:50	Plenary talk Joris Mooij (UvA) "Causality and Fairness"
10:00 – 11:00	Session Learned Optimization Sarah Sachs - UvA, Korteweg-de Vries Instituut "Optimization, minimax problems and computing Nash equilibria: Why does it matter in the context of machine learning?" Rui Castro - TU/e, EAISI "Selective sampling for online prediction with experts"
11:00 – 11:15	Coffee break
11:15 – 12:15	Session Learned Optimization George Pantazis - TUDelft "Distributionally robust stability of payoff allocations in stochastic coalitional games" Wouter Koolen - CWI "Luckiness in multi-scale online learning"
12:15 – 13:45	Lunch break
13:45 – 14:45	Session Robust AI Barbara Franci (Maastricht University) "Stochastic Nash equilibrium seeking and Learning" Ilker Birbil - UvA, AI & Optimization Techniques for Business & Society "Finding Regions of Counterfactual Explanations via Robust Optimization"
14:45 - 15:00	Coffee break
15:00 – 16:00	Session Robust AI Jakiw Pidstrigach - Universität Potsdam "Infinite-Dimensional Diffusion Models for Function Spaces" Tom Sterkenburg - LMU Munich, MCMP, "Epistemology of Learning Theory"
16:00 – 17:00	Closing and drinks