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 |