Talks
Summer Semester 2024, Thursdays 2pm-4pm unless otherwise noted.
| Date | Speaker | Title |
| 13.05.2024 (17:00) | Guy Amir (Hebrew University in Jerusalem) | Verifying Deep Reinforcement Learning Systems |
| 15.05.2024 (11:00) | Paul Geuchen (Catholic University Eichstätt-Ingolstadt) | Optimal approximation using complex-valued neural networks |
| 16.05.2024 | Cristobal Guzman (PUC), Zoom | Differentially-Private Optimization with Sparse Gradients |
| 23.05.2024 | Massimiliano Datres | A two-scale Complexity Measure for Deep Learning Models |
| 23.05.2024 | Derek Lim (MIT) | Parameter Space Symmetries and Empirical Analysis of Neural Networks |
| 06.06.2024 | Johannes Maly | A brief outline of the paper ’Three quantization regimes for ReLU networks’ by Ou, Schenkel, and Boelcskei |
| 06.06.2024 | Viktoria Ehm (Computer Vision Group, TUM) | Partial Shape Matching with Geometric Consistency |
| 12.06.2024 | Alfred Bruckstein (Technion) | From Short-Cuts to Crazy Cuts and a Discovery on Disc Covers |
| 13.06.2024 | Maria Matveev | Learning on the Edge of Stability |
| 13.06.2024 | Vit Fojtik | Learning on the Edge of Stability |
| 17.06.2024 | Suvrit Sra | Transformers learn in-context by implementing gradient descent |
| 20.06.2024 | Christopher Bülte | |
| 20.06.2024 | Philipp Scholl | |
| 27.06.2024 | Mariia Seleznova | |
| 27.06.2024 | Sohir Maskey | |
| 01.07.2024 (16:00) | Xaiosheng Zhuang (City University of Hong Kong) | |
| 04.07.2024 | Duc Anh Nguyen | |
| 04.07.2024 | Raffaele Paolino | |
| 11.07.2024 | Ernesto Araya | |
| 11.07.2024 | Manjot Singh | |
| 18.07.2024 | Stefan Kolek | |
| 18.07.2024 | Chirag Shukla | |
| 25.07.2024 | Adalbert Fono | |
| 25.07.2024 | Yunseok Lee |
Winter Semester 2023/2024, Thursdays 2pm-4pm unless otherwise noted.
| Date | Speaker | Title |
| 19.10.2023 | Manjot Singh | Exploring Neural Network Expressivity via Trajectory Length Analysis |
| 02.11.2023 | Philipp Scholl | ParFam - Symbolic Regression based on Continuous Global Optimization |
| 09.11.2023 | Johannes Maly | How to estimate covariances from one-bit samples in a data-adaptive way |
| 16.11.2023 | Maria Matveev | Gradient-based study of data point influence during the training of neural networks |
| 16.11.2023 | Hector Andrade Loarca | Founding a Biotech Startup |
| 23.11.2023 | Duc Anh Nguyen | Measuring neural network expressivity by the number of linear regions |
| 30.11.2023 | Yunseok Lee | Dictionary Learning for Diagonal Frame Decomposition |
| 13.12.2023 | Katharina Bieker (starts at 1:30 pm) | Compositional Construction of Barrier Functions for Controlled Systems |
| 18.01.2024 | Stefan Kolek | Learning Interpretable Queries for Explainable Image Classification with Information Pursuit |
| 25.01.2024 | Hector Andrade Loarca | Leveraging large diffusion models as image priors for 3D shape reconstruction and beyond |
| 01.02.2024 | Vit Fojtik | Complex Implicit Bias |
| t.b.a. | Laura Thesing | |
| 08.02.2024 | Raffaele Paolino | |
| 08.02.2024 | Sohir Maskey |
Summer Semester 2023, Thursday 2pm-4pm.
| Date | Speaker | Title |
| 20.04.2023 | Aras Bacho | Approximating Solutions of Differential Inclusions via Deep Learning Techniques: A Novel Approach to Nonsmooth Evolution Equations |
| 27.04.2023 | Philipp Scholl | Well-definedness of Physical Law Learning: The Uniqueness Problem |
| 04.05.2023 | Hung-Hsu Chou | CryoEM Image Recovery via Fourier Invariant under Group Actions |
| 04.05.2023 | Hillary Haugner | Physical Law Learning of Friction Data |
| 11.05.2023 | Beatrice Lorenz | Error Estimation for Physics-Informed Neural Networks Approximating Semi-Linear Wave Equations |
| 11.05.2023 | Katharina Bieker | Optimal Control meets Machine Learning |
| 25.05.2023 | Mariia Seleznova | Neural (Tangent Kernel) Collapse |
| 29.06.2023 | Sohir Maskey | Exploiting Long-Range Dependencies in Graphs using Fractional Laplacians |
| 29.06.2023 | Yunseok Lee | Data-driven Regularization based on Diagonal Frame Decompostion |
| 06.07.2023 | Laura Thesing | Sumformer: Universal Approximation for Efficient Transformers |
| 06.07.2023 | Vit Fojtik | Who's afraid of non-computability of learning? |
| 06.07.2023 | Laura Thesing | Sumformer: Universal Approximation for Efficient Transformers |
| 13.07.2023 | Ines Butz | Deep learning for patient-specific calibration of X-ray CT into RSP based on sparse ion radiographies |
| 13.07.2023 | Hector Andrade-Loarca | Learning 3D shape representations: From meshes to NeRFs and beyond. |
| 13.07.2023 | Yahya Saleh | Spectral learning for solving infinite-dimensional eigenvalue problems |
| 20.07.2023 | Manjot Singh | TBA |
| 20.07.2023 | Stefan Kolek | TBA |