Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Geometric deep learning as an enabler for data consistency and interoperability in manufacturing — Patrick Bründl (2025) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Geometric deep learning as an enabler for data consistency and interoperability in manufacturing
Shared by
Patrick Bründl
Geometric deep learning as an enabler for data consistency and interoperability in manufacturing
Article
2025
en
Authors
+3 more
Patrick Bründl
Production Automation and Production Systems
BS
Benedikt Scheffler
CS
C. Straub
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Preprint
2024
Geometric Deep Learning as an Enabler for Data Consistency and Interoperability in Manufacturing
Patrick Bründl
,
Benedikt Scheffler
,
C. Straub
,
Huong Giang T. Nguyen
,
Micha Stoidner
,
Jörg Franke
Article
2023
Ensemble Geometric Deep Learning of Aqueous Solubility
Mohammad Mehdi Ghahremanpour
,
Anastasia Saar
,
Julian Tirado‐Rives
,
William L. Jorgensen
Journal of Chemical Information and Modeling
Chapter in a book
2021
Data Mining and Deep Learning
Xin-she Yang
Preprint
2018
Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction
Shubham Tulsiani
,
Alexei A. Efros
,
Jitendra Malik
Preprint
2018
Multi-view Consistency as Supervisory Signal for Learning Shape and Pose\n Prediction
Shubham Tulsiani
,
Alexei A. Efros
,
Jitendra Malik
.png){kind=small}
Discussion(0)
No comments yet. Be the first to comment.