Talks
Winter semester 2022/2023, Thursday 2pm-4pm.
| Date | Speaker | Title |
| 03.11 | Hung-Hsu Chou | Mysterious Love: Find the Closest Solution Under Implicit Bias/Regularization |
| 10.11 | Chirag Shukla | Towards Training GNNs using Explanation-Directed Message Passing |
| 10.11 | Siyu Liang | White Noise Solutions of mSQG Equations on R2 |
| 15.11 | Johannes Maly | A simple approach for quantizing neural networks |
| 17.11 | Ulrich Rührmair | Computer Security without Classical Secrets |
| 17.11 | Yunseok Lee | Adversarial Regularizers - The Spectral Case |
| 01.12 | Chirag Shukla | Towards Training GNNs using Explanation-Directed Message Passing |
| 8.12 | Vit Fojtik | Reliability of Computability |
| 8.12 | Philipp Scholl | Well-definedness of Physical Law Learning: The Uniqueness Problem |
| 13.12 | Tobias Chen | Commercial and applied uses of 3D reconstruction in the immersive media industry |
| 13.12 | Manny Ko | Harmonic Analysis from Graphics to Machine Learning |
| 15.12 | Stefan Kolek | Explaining Image Classifiers with Multiscale Directional Representation |
| 15.12 | Laura Thesing | Introduction to (Vision) Transformer |
| 05.01 | Mariia Seleznova | Neural (Tangent Kernel) Collapse |
| 12.01 | Raffaele Paolino | Introduction to Spiking Neural Networks |
| 19.01 | Hector Andrade Loarca | Fourier Neural Poisson Reconstruction |
| 19.01 | Hao Li | On the Accuracy and Monotonicity of Spectral Element Method on Structured Meshes |
| 26.01 | Manjot Singh | Function approximation using Spiking Neural Networks |
| 02.02 | Aras Bacho | Fourier Neural Poisson Reconstruction |
| 02.02 | Sohir Maskey | Limitations of Graph Neural Networks |
| 03.02 | Bertrand Charpentier | Winning the lottery ahead of time |
Summer semester 2022, Tuesday at 2:00PM, Thursdays at 3:00PM.
| Date | Speaker | Title |
| 28.04.22 | Noam Razin (Tel Aviv University) | Generalization in Deep Learning Through the Lens of Implicit Rank Minimization |
| 5.5.22 | Adalbert Fono | Inverse Problems Are Solvable on Real Number Signal Processing Hardware |
| 10.05.22 | Georgios Kaissis (TUM) | A unifying view on the Gaussian mechanism for Differential Privacy |
| 17.05.22 | Chirag Varun Shukla |
A Survey on Dynamic Graph Embeddings |
| 19.05.22 | Julius Hege |
50% More Fun – Machine Learning in Three Dimensions |
| 24.05.22 | Stefan Kolek |
Learning Private Learning |
| 31.05.22 | Laura Thesing | Expressivity through the lens of computability |
| 07.06.22 | Monica Michaelis | Bridging the Gap – Examples from Life Sciences |
| 14.06.22 | Duc Anh | Memorization-dilation: Modeling neural collapse under noise |
| 21.06.22 | Hector Andrade Loarca | Equivariant Multiview Reconstruction |
| 30.06.22 | Manjot Singh | Expressivity of Spiking Neural Networks |
| 07.07.22 | Philipp Scholl | Physical Law Learning |
| 12.07.22 | Yunseok Lee | Can we calculate this? - On the Turing-computability of optimization problems |
| 19.07.22 | Sohir Maskey | Expressivity of Graph Neural Networks |
| 21.07.22 | Raffaele Paolino | Spatial Networks in Geometric Deep Learning |
| 26.07.22 | Mariia Seleznova | Implicit bias of differentially private SGD |
| 29.07.22 | Massimo Delle Piane | Data driven approaches to reconstruct the innate dynamics of complex molecular systems |