A seminar organized by "CUI: Advanced Imaging of Matter" about Machine Learning in the context of applied science.
Dates & times
- Friday July 1 @ 11AM: Sascha Diefenbacher & Sebastian Bieringer - Generative Machine Learning Models for Fast Simulation in High Energy Physics
- Friday June 10 @ 14PM: Niklas Käming - Unsupervised machine learning of topological phase transitions from experimental data
- Friday Mai 20 @ 11AM: Lukas Broers - Vanishing Gradients in Variational Quantum Algorithms
- Friday April 29 @ 11AM: Tobias Quadfasel - Searching for new physics with normalizing flow-based unsupervised anomaly detection methods
- Wednesday April 13, @ 4PM: Dries Sels, New York U - Enhanced inference and sampling on current quantum computers
- Tuesday April 12 @ 11AM: Tim Matthies - Topological characterization of chiral magnetic textures using machine learning
Zoom
This is an online Seminar, the Zoom link will be shared to registered participant.
Registration
Registration for this event is currently open.