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 |