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)