Mathematics of Machine Learning and Data Science

The research groups of Philipp Petersen and Philipp Grohs organize a joint research group seminar about the "Math of Machine Learning and Data Science". In this seminar, we discuss current work by researchers in our groups, present and discuss recent papers, and have invited talks by collaborators and guests. Everyone (students, faculty members, guests, etc.) is welcome!

Some quick information:

When: Monday, 10:15 - 11:15 (except during holidays and semester breaks).
Where: Seminar room 8 in Kolingasse 14-16, first floor (for remote talks, Zoom links will be posted here).
Mailing list: 
You can subscribe here to get weekly updates about upcoming talks.
Organizers: Dominik Dold and Georg Tauböck.

Below, you can find the current schedule (which is updated regularly) as well as links to the abstracts of past seminars.


Schedule: WiSe 2024

Date

Presenter

Title

27.01.2025      Daniel Haider

(Austrian Academy of Sciences - Acoustic Research Institute )
Injectivity and Stability of ReLU layers      
20.01.2025

Matthias Remta

(UWien / CERN)

Phase-space control with deep learning accelerated tracking      
13.01.2025      Zacharia Rudge

(ESA Advanced Concepts Team, TU Delft)
Mitigating noise in memristor-based analog neural network accelerators for space applications      
16.12.2024Michael Feischl

(TU Wien)
Towards optimal training of neural networks
09.12.2024Philipp Grohs

(UWien)
The Theory to Practice Gap in Neural Operator Learning
02.12.2024Rossen Nenov

(Austrian Academy of Sciences - Acoustic Research Institute)
Differentiable Regularization of the condition number for neural networks.      
25.11.2024Georg Tauböck

(UWien)      
Frame Multipliers and Compressive Sensing.

18.11.2024

Michael Scherbela

(UWien)

AlphaFold.

11.11.2024 

Andrés Felipe Lerma Pineda

(UWien)

Dimension-independent learning rates for high-dimensional classification problems.

04.11.2024 

Jonathan García Rebellón

(UWien)

Classification problem with Barron regular boundaries and margin condition.

21.10.2024 

Dominik Dold

(UWien)

Function from form: a brief journey covering neurons, graphs, lattices, and stars.

Past seminars