4th Workshop on Embedded Machine Learning - WEML2023

Heidelberg University, March 2nd, 2023

Lecture Hall, Mathematikon, Im Neuenheimer Feld 205

Holger Fröning, ZITI, Heidelberg University, Germany (holger.froening (at) ziti.uni-heidelberg.de)

Gregor Schiele, University of Duisburg-Essen (gregor.schiele (at) uni-due.de)

Franz Pernkopf, Graz University of Technology, Austria (pernkopf (at) tugraz.at)

Manfred Mücke, Materials Center Leoben GmbH, Leoben, Austria (Manfred.Muecke (at) mcl.at)


The workshop series on embedded machine learning (WEML) is jointly organized by Heidelberg University, University Duisburg-Essen, Graz University of Technology, and Materials Center Leoben, and embraces our joint interest in bringing complex machine learning models and methods to resource-constrained devices like edge devices, embedded devices, and IoT. The workshop is rather informal, without proceedings, and is organized around a set of invited talks on topics associated with this interest.

Topics of interest include in general: 

In this regard, the workshop gears to gather experts from various domains and from both academia and industry, to stimulate discussions on recent advances in this area. 


Registration opens 09:00-ish

09:15 - 09:30 Workshop opening [slides]

Session 1: Model Architectures

Coffee break

Session 2: Model Efficiency

Lunch break

Session 3: Model Embedding & Applications

Coffee break

Session 4: Model Sparsity

17:00 - 17:15 Closing remarks


This is an in-person event, thus seating is limited. We'll do our best to accommodate as many requests as possible. With regard to attending:

Impressions of the 2023 Workshop