Schedule: WiSe 2024

Date

Presenter

Title

Nov 8 2023 (online -- 15:00)

A. Martina Neuman

(UWien)

Transferability of GNNs using sampling and graphon theories

Dec 6 2023 (in person -- 15:00)

SR9, Kolingasse 14

Philipp Petersen

(UWien)

Optimal learning of piecewise smooth functions

Dec 13 2023 (in person -- 15:00)

SR9, Kolingasse 14

Adeyemi D. Adeoye

(Scuola IMT and UWien)

Self-concordant regularization in machine learning 

Jan 10 2024 (in person -- 11:00)

7.21, Kolingasse 14

Andrés Felipe Lerma Pineda

(UWien)

Deep neural networks can stably solve high-dimensional, noisy, non-linear inverse problems

Jan 17 2024 (in person -- 11:00)

7.21, Kolingasse 14

Bernhard Einberger

(AVL)

Machine learning model to predict fuel cell degradation effects

Jan 24 2024 (in person -- 11:00)

7.21, Kolingasse 14

Yuanyuan Li

(Fundan U)

Two-layer networks with the ReLU^k activation function: Barron spaces and derivative approximation

**Special Session**

Jan 31 2024 (online -- 16:00)

Anastasis Kratsios

(McMaster U and Vector Institute)

An approximation theory for metric-space-valued functions with a view towards transformers