Kick-off workshop 2022

Information

September 21–23, 2022, RWTH Aachen University

All lectures take place in Hörsaal II, 2nd floor Main Building RWTH, Templergraben 55

Coffee Breaks take place in room 149, 1st floor Main Building RWTH, Templergraben 55

The program with abstracts can be found here.

Wednesday, September 21

14:00 - 14:10 Holger Rauhut & Carsten Honercamp (Dean of the Faculty of Mathematics, Computer Science and Natural Sciences)

Opening

14:10 - 14:30 Holger Rauhut

Overview on SFB 1481 Sparsity and Singular Structures

 

14:30 - 15:20 Gero Frieseke (TU München)

Sparsity in optimal transport: From theory to new algorithms that break the curse of dimension

 

15:30 - 16:15 Coffee (Room 149)

16:15 - 17:05 Semih Cayci (University of Illinois Urbana Champaign)

Finite-time analysis of entropy-regularized natural actor-critic algorithm with neural net- work approximation

17:15 - 18:05 Olga Mula (TU Eindhoven)

Sparsity in some optimal transport problems

18:15 - 20:00 Dinner (not organized; ask local participants for options)

20:00 Reception and Jam Session
Mathe-Lounge, Pontdriesch 14-16, 3rd floor
Bring your instrument if you would like to play! (Piano, Bass, Drums will be there)

Thursday, September 22

9:00 - 9:50 Reinhold Schneider (TU Berlin)

An Eulerian approach for numerical Solution of potential mean field games

10:00 - 10:40 Coffee Break (Room 149)

10:40 - 11:30 Tim Laux (University of Bonn)

The large-data limit of the MBO scheme for data clustering

11:40 - 12:30 Discussion

Sparsity concepts for Singular Structures: promising opportunities?

 

12:30 -14:30 Lunch (Sandwiches in Room 149; please feel to go to a restaurant if you prefer a “real” lunch)

14:30 - 15:20 Gabriel Peyré (ENS, CNRS, Paris)

Scaling optimal transport for high dimensional learning

15:30 - 16:15 Coffee (Room 149)

16:15 - 17:05 Sören Bartels (University of Freiburg)

Modeling and simulation of thin sheet folding

20:00 Conference Dinner
Restaurant Elisenbrunnen, Friedrich-Wilhelm-Platz 14, 52062 Aachen

Friday, September 23

9:00 - 9:50 Massimo Fornasier (TU München)

Breaking nonconvexity: Consensus based optimization

10:00 - 10:40 Coffee Break (Room 149)

10:40 - 11:30 Discussion

Deep Neural Networks in Machine Learning and Simulation: Where do we go?

11:40 - 12:30 Ingrid Daubechies (Duke University)

Sparsity and Machine Learning: Looking Back & Forward

12:40 Closing

12:45 Coffee (Room 149)