Mathematics of Deep Learning

machine learning numerical analysis optimization and control

Audience:	Researchers in the topic
Seminar series time:	Tuesday 10:15-11:45 in your time zone, UTC
Organizers:	Leon Bungert*, Daniel Tenbrinck
Curator:	Martin Burger
	*contact for this listing

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Upcoming talks

Past talks

Your time			Speaker	Title
Tue	Jul 20	10:15	Jevgenija Rudzusika	Accelerated Forward-Backward Optimization using Deep Learning
Tue	Jul 13	10:15	Anne Koelewijn	Biomechanics meets Deep Learning
Tue	Jul 06	10:15	Andreas Bärmann/Kevin Aigner	Online Learning for Optimization Problems with Unknown or Uncertain Cost Functions
Tue	Jun 29	10:15	Carola-Bibiane Schönlieb	Deeply learned regularisation for inverse problems
Tue	Jun 22	10:15	Yixing Huang	Deep Learning for Computed Tomography Image Reconstruction from Insufficient Data
Tue	Jun 15	10:15	Daniel Cremers	Self-supervised Learning for 3D Shape Analysis
Tue	Jun 08	10:15	Nicolas Papadakis	On the learning of Wasserstein generative models
Tue	Jun 01	10:15	Thomas Pock	Learning with energy-based models
Tue	May 25	14:15	Jeff Calder	Random walks and PDEs in graph-based learning
Tue	May 18	12:15	Lars Ruthotto	An Introduction to Generative Modeling
Tue	May 11	10:15	Enrique Zuazua	Neural Differential Equations, Control and Machine Learning
Tue	May 04	10:15	Michael Möller	On the Confluence of Deep Learning and Energy Minimization Methods for Inverse Problems
Tue	Apr 27	10:15	Gitta Kutyniok	Deep Learning meets Shearlets: On the Path Towards Interpretable Imaging
Tue	Apr 20	12:15	Joan Bruna	Mathematical aspects of neural network approximation and learning

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