Past Talks in Joint Analysis Seminar

There weren't any events in the past six months.

Past Talks in Post Graduate Seminar

22.07.2024, 16:00

Sakirudeen Abdulsalaam (LMU Munich):
Phase Recovery from Antenna Measurements with Random Masks

(Show/Hide Abstract)



15.07.2024, 16:00

El Mehdi Achour (RWTH Aachen):
The Energy Landscape of Predictive Coding Networks

(Show/Hide Abstract)



08.07.2024, 16:00

Sjoerd Dirksen (Utrecht University):
The separation and memorization capacities of neural networks

(Show/Hide Abstract)



24.06.2024, 16:00

Debarghya Ghoshdastidar (TU Munich):
When can we Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?

(Show/Hide Abstract)



17.06.2024, 16:00

Reinhard Heckel (TU Munich):
Data-centric Deep Learning Based Imaging

(Show/Hide Abstract)



07.06.2024, 14:00

Hans Feichtinger (University of Wien):
Signals ARE mild distributions: An alternative approach to Fourier Analysis

(Show/Hide Abstract)



03.06.2024, 16:00

Mark Peletier (TU Eindhoven):
Singular-limit analysis of training with noise injection

(Show/Hide Abstract)



27.05.2024, 16:00

Arthur Jacot (NYU Courant Institute):
Hamiltonian Mechanics of Feature Learning:Bottleneck Structure in Leaky ResNets

(Show/Hide Abstract)



13.05.2024, 16:00

Adit Radhakrishnan (Harvard University):
How do neural networks learn features from data?

(Show/Hide Abstract)



06.05.2024, 16:00

Dominik Stöger (KU Eichstätt-Ingolstadt):
Breaking the quadratic rank bottleneck in non-convex matrix sensing: Recovery guarantees with (near-)optimal sample complexity

(Show/Hide Abstract)



29.04.2024, 10:00

Massimo Fornasier (TU Munich):
Wassertein Sobolev functions and their numerical approximations

(Show/Hide Abstract)



08.02.2024, 16:15

Laura Paul (RWTH Aachen University):
Covariance Estimation for Massive MIMO

(Show/Hide Abstract)



01.02.2024, 16:15

Arinze Folarin (RWTH Aachen University):
Tensor Recovery: Exploring Hierarchical Tensor Representation in ISLET Algorithm

(Show/Hide Abstract)




Valid HTML5 · Valid CSS3