168 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- KTH Royal Institute of TechnologySE17 papers
- Chalmers University of TechnologySE15 papers
- Lund UniversitySE13 papers
- Luleå University of TechnologySE8 papers
- University of California, BerkeleyUS8 papers
- Blekinge Institute of TechnologySE6 papers
- Uppsala UniversitySE6 papers
- National Physical LaboratoryGB5 papers
- University of GothenburgSE5 papers
- Intel (United States)US4 papers
- Istituto Nazionale di Ricerca MetrologicaIT4 papers
- Physikalisch-Technische BundesanstaltDE4 papers
4 papers · 2 filters
Identifying latent distances with Finslerian geometry
Alison Pouplin, David Eklund, Carl Henrik Ek +1
Riemannian geometry provides us with powerful tools to explore the latent space of generative models while preserving the underlying structure of the data. The latent space can be…
On-device Training: A First Overview on Existing Systems
Shuai Zhu, Thiemo Voigt, JeongGil Ko +1
The recent breakthroughs in machine learning (ML) and deep learning (DL) have catalyzed the design and development of various intelligent systems over wide application domains. Whi…
Performance Analysis of Out-of-Distribution Detection on Trained Neural Networks
Jens Henriksson, Christian Berger, Markus Borg +3
Several areas have been improved with Deep Learning during the past years. Implementing Deep Neural Networks (DNN) for non-safety related applications have shown remarkable achieve…
The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models
Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami +1
The Concordance Index (C-index) is a commonly used metric in Survival Analysis for evaluating the performance of a prediction model. In this paper, we propose a decomposition of th…