Institute of Mathematics

Lecture courses/details

Seminar in Data Science and Mathematical Modelling

Time:

Th 12.15 - 13.45 Room: Y27H12 Seats: 28

Organized by:

Prof. Dr. Alexandre Bovet, Prof. Dr. Delia Marina Coculescu, Prof. Dr. Reinhard Furrer, Prof. Dr. Ashkan Nikeghbali

Module: MAT959 Seminar in Data Science and Mathematical Modelling

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.

How to get here

e-mail reminder subscription

Talks

Date

Title

Speaker

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

Room: Diverse

TBA

21.12.2023

Student Seminar: Deep Stochastic Optimization in Finance

Max Herman Julius Hedeman Joosten

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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.