The Mathematics of Data Science Seminar Series is hosted by DTU Compute at the Technical University of Denmark and is organized by Martin S. Andersen, Allan P. Engsig-Karup, and Jakob Lemvig. The seminars are open to everyone and aims to bring together researchers, students, and industry practitioners with an interest in mathematics and data science. […]
Upcoming seminar Dolores Romero Morales (CBS) Counterfactual Analysis in Benchmarking Read more about this seminar at: https://dtumods.github.io/#upcoming-seminars About the seminar series The Mathematics of Data Science Seminar Series is hosted by DTU Compute at the Technical University of Denmark and is organized by Martin S. Andersen, Allan P. Engsig-Karup, and Jakob Lemvig. The seminars are […]
Reduced Order Modelling in Computational Mechanics: state of the art, challenges and applications Speaker: Gianluigi Rozza (SISSA; https://people.sissa.it/~grozza/) About the seminar series The Mathematics of Data Science Seminar Series is hosted by DTU Compute at the Technical University of Denmark and is organized by Martin S. Andersen, Allan P. Engsig-Karup, and Jakob Lemvig. The seminars are […]
Stochastic morphometry and sampling of conditioned stochastic shape processes Speaker: Stefan Sommer (DIKU) Location: Building 303A Aud. 41, DTU Lyngby Campus Abstract: In the talk, I will give an overview of the Stochastic morphometry project and how we in the Center for Computational Evolutionary Morphometry aim to build statistical models for morphological evolution and connected […]
New avenues in high order fluid dynamics Speaker: Esteban Ferrer (Univ. Politécnica de Madrid) Location: Building 303A Aud. 41, DTU Lyngby Campus Abstract: We present the latest developments of our High-Order Spectral Element Solver (HORSES3D), an open source high-order discontinuous Galerkin framework capable of solving a variety of flow applications, including compressible flows (with or […]
Target group: PhD students within both methodological and applied data science research for whom generative modelling potentially plays a part in their PhD projects. + Postdocs and senior researchers who want to work with deep generative models, as well as people from the industry as continual training in data science. Deadline for registration: April 10, […]
A Role for Message Passing in Data Assimilation? Speaker: Marc Deisenroth (University College London) Location: Building 303A Aud. 43, DTU Lyngby Campus Abstract: Estimating the latent state of a dynamical system based on noisy observations is a common challenge underlying many tasks in engineering, robotics, or weather modeling. We will discuss two perspectives of state […]
The workshop aims to gather researchers who share an interest in exploring the mathematical and computational aspects of data science. Over the course of three days, attendees will have the opportunity to participate in a variety of activities, engage in meaningful discussions, and form new connections within the research community. The first day of the […]
Learned model-based reconstructions for inverse problems: robustness and convergence guarantees Speaker: Andreas Hauptmann (University of Oulo) Location: Building 303A Aud. 43, DTU Lyngby Campus Abstract: In recent years, deep learning has achieved remarkable empirical success for image reconstruction. This has catalysed an ongoing quest for the precise characterization of the correctness and reliability of data-driven […]
In an era of explosive growth in complex data, our course is your bridge to a deeper understanding of Functional Data Analysis (FDA)and Machine Learning (ML). The main challenge today isn't data availability but rather our ability to interpret it. Join our growing community of professionals applying ML to tackle complex data challenges. This crash […]