Talks

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

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