AG Mathematics of Deep Learning /CoursesID:878

Detailed information

Keywords: functional minimization methods framework approximation control distance reconstruction energy deep search basic weights models measure layer activation problem example propagation

Most recent entry on 2021-07-26 

Organisational Unit

Lehrstuhl für Angewandte Mathematik

Recording type

Vortragsreihe

Language

English

Associated Clips

Episode
Title
Lecturer
Updated
Via
Duration
Media
1
Introduction to Deep Learning
Dr.-Ing. Vincent Christlein
2019-11-14
Free
01:22:04
2
Mathematics - Deep Learning
Prof. Dr. Martin Burger
2019-12-05
Free
01:35:25
3
Known Operator Learning - Towards Integration of Prior Knowledge into Machine Learning
Prof. Dr. Andreas Maier
2020-01-09
Free
00:44:56
4
Biomechanics meets Optimal Control: Predictions of Human Motion
Prof. Dr. Anne Koelewijn
2020-02-13
Free
01:27:21
5
A New Approach for Stochastic Optimization in Deep Learning
Dr. Lukas Pflug
2020-02-20
Free
00:31:51
6
Introduction to Adversarial Robustness for Deep Learning
Leo Schwinn
2020-11-11
Free
00:53:41
7
The interplay of deep learning and control theory
2020-12-09
Free
01:04:25
8
Generalised Perceptron Learning
2020-12-16
Free
01:10:53
9
Neuromorphic Computing and its Mathematical Challenges
2021-01-13
Free
01:17:23
10
Structure Preserving Deep Learning
2021-01-27
Free
01:07:37
11
Mathematical aspects of neural network approximation and learning
2021-04-20
Free
01:02:09
12
Deep Learning meets Shearlets: On the Path Towards Interpretable Imaging
2021-04-27
Free
00:50:44
13
On the Confluence of Deep Learning and Energy Minimization Methods for Inverse Problems
2021-05-04
IdM-login
00:53:30
14
Neural Differential Equations, Control and Machine Learning
2021-05-11
Free
00:57:53
15
An Introduction to Generative Modeling
2021-05-18
Free
00:55:59
16
Random walks and PDEs in graph-based learning
2021-05-25
Free
01:00:32
17
Learning with energy-based models
2021-06-01
Free
01:04:59
18
Learning of Wasserstein Generative Models and Patch-based Texture Synthesis
2021-06-08
Free
01:01:40
19
Self-supervised Learning for 3D Shape Analysis
2021-06-18
Free
00:34:20
20
Deep Learning for Computed Tomography Image Reconstruction from Insufficient Data
Dr. Yixing Huang
2021-06-26
Free
00:41:12
21
Deeply learned regularisation for inverse problems
2021-06-29
Free
00:58:36
22
Online Learning for Optimization Problems with Unknown or Uncertain Cost Functions
2021-07-06
Free
00:29:47
23
Biomechanics meets Deep Learning
Prof. Dr. Anne Koelewijn
2021-07-13
Free
01:10:13
24
Accelerated Forward-Backward Optimization using Deep Learning
2021-07-26
Free
00:46:52

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