One World seminar: Mathematical Methods for Arbitrary Data Sources (MADS)

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analysis of PDEs functional analysis general mathematics numerical analysis optimization and control probability statistics theory

Friedrich-Alexander-Universität Erlangen-Nürnberg

Audience:	Researchers in the topic
Seminar series times:	Every other Monday 13:00-13:45, 14:00-14:45 in your time zone, UTC
Organizers:	Leon Bungert, Martin Burger, Antonio Esposito, Janic Föcke, Daniel Tenbrinck, Philipp Wacker
	*contact for this listing

Description: Research seminar on mathematics for data

The lecture series will collect talks on mathematical disciplines related to all kind of data, ranging from statistics and machine learning to model-based approaches and inverse problems. Each pair of talks will address a specific direction, e.g., a NoMADS session related to nonlocal approaches or a DeepMADS session related to deep learning.

Approximately 15 minutes prior to the beginning of the lecture, a zoom link will be provided on the official website and via mailing list. For further details please visit our webpage.

Upcoming talks

Past talks

Your time			Speaker	Title
Mon	Jun 29	13:00	Björn Sprungk	Noise-level robust Monte Carlo methods for Bayesian inference with infomative data
Mon	Jun 29	12:00	Jana de Wiljes	Sequential learning for decision support under uncertainty
Mon	Jun 15	13:00	Nicolás García Trillos	Regularity theory and uniform convergence in the large data limit of graph Laplacian eigenvectors on random data clouds.
Mon	Jun 15	12:00	Andrea Braides	Continuum limits of interfacial energies on (sparse and) dense graphs
Mon	Jun 08	13:00	Vincent Duval	Representing the solutions of total variation regularized problems
Mon	Jun 08	12:00	Michael Unser	Representer theorems for machine learning and inverse problems
Mon	May 18	13:00	Francis Bach	On the convergence of gradient descent for wide two-layer neural networks
Mon	May 18	12:00	Lars Ruthotto	Machine learning meets optimal transport: old solutions for new problems and vice versa
Mon	May 04	13:00	Michaël Fanuel	Diversity sampling in kernel method
Mon	May 04	12:00	Lorenzo Rosasco	Efficient kernel-PCA by Nyström sampling
Mon	Apr 20	13:00	Marie-Therese Wolfram	Inverse Optimal Transport
Mon	Apr 20	12:00	Gabriel Peyré	Scaling Optimal Transport for High dimensional Learning

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