Institut für Mathematik

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FS 24
MAT959
Seminar in Data Science and Mathematical Modelling
Zeiten:
Do 12.15 - 13.45 Raum: Y27H12 Plätze: 50
Organisiert von
Prof. Dr. Alexandre Bovet, Prof. Dr. Delia Marina Coculescu, Prof. Dr. Reinhard Furrer, Prof. Dr. Ashkan Nikeghbali

Video Streams

This seminar offers a video stream

This seminar combines research talks by international experts on various topics in data science and mathematical modeling and student presentations. The topics covered include applied statistics and probability, mathematical finance, risk theory, machine learning, network science, and computational social sciences.

Information for students

To register for a student presentation (3 ECTS), please fill in this form.

 

Talks

21.09.2023
Loss surfaces of neural networks and random matrix theory
Invited Speaker-personal webpage 
Joseph Najnudel
University of Bristol
05.10.2023
Deep Learning based algorithm for nonlinear PDEs in finance and gradient descent type algorithm for non-convex stochastic optimization problems with ReLU neural networks
Invited Speaker-personal webpage 
Ariel Neufeld
Division of Mathematical Sciences, Nanyang Technological University
12.10.2023
Geometrically Convergent Simulation of the Extrema of Lévy Processes
Invited Speaker-personal webpage 
Aleksandar Mijatović
Department of Statistics, University of Warwick
19.10.2023
Network Science as a Data Science
Invited Speaker-personal webpage 
Ulrik Brandes
Dep. of Humanities, Social and Pol.Sc., ETH Zürich
02.11.2023
Student Seminar: Modeling social resilience 
Rathes Sriram
09.11.2023
Recommender systems: Past and Future 
Emma Hovhannisyan
Roche
16.11.2023
Modeling and Measuring the Resilience of Collectives
Invited Speaker-personal webpage 
Frank Schweitzer
Systemgestaltung, ETH Zürich
23.11.2023
Informed machine learning for biology and medicine: A graph representation perspective
Invited speaker-personal webpage 
Dorina Thanou
EPFL Lausanne
30.11.2023
Deep Dynamic Decision Making in Mathematical Finance
Invited Speaker-personal webpage 
Hanna Wutte
ETHZ
07.12.2023
Deep Learning Symposium

Raum: Diverse 
TBA
21.12.2023
Student Seminar: Deep Stochastic Optimization in Finance 
Max Herman Julius Hedeman Joosten

Modul: MAT959 Seminar in Data Science and Mathematical Modelling