Talks
Winter Semester 2024, Thursdays 2pm-4pm unless otherwise noted.
| Date | Speaker | Title |
| 07.10.2024 | Thao Minh Le | Vision Language Intelligence: Machines That Reason About What They See |
| 17.10.2024 | Martina Neumann | Efficient Learning Using Spiking Neural Networks Equipped With Affine Encoders and Decoders |
| 31.10.2024 | Pascal Esser | Recent theoretical advances in contrastive learning |
| 14.10.2024 | Emanuele Bizzotto | Non-linear Compressed Sensing for Compression of Neural Networks |
| 21.11.2024 | Liu, Fanghui | Learning with norm-based neural networks: model capacity, function spaces, and computational-statistical gaps |
| 28.11.2024 | Sara-Viola Kuntz |
Analysis of the Geometric Structure of Neural Networks and Neural ODEs via Morse Functions |
| 09.01.2025 | Maximilian Baust | Beyond Transfers: Why Beating Multi-Head Attention Is Hard |
| 23.01.2025 | Dimitry Krotov (virtual talk at 4pm) | Generative AI models through the lens of Dense Associative Memory |
| 30.01.2025 | Vit Fojtik | Conflicting Biases of Gradient Descent |
| 06.02.2025 | Duc Anh Nguyen | Spiking Neural Networks in Discrete Time |