h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation

; ; ; ;

In
Annual Learning for Dynamics and Control Conference, 17-19 June 2026, Los Angeles, California, USA / Editors: Gaurav Sukhatme, Lars Lindemann, Stephen Tu, Adam Wierman, Nikolay Atanasov, Seiten/Artikel-Nr: 1638-1662

Konferenz/Event:8. Learning for Dynamics and Control Conference , Los Angeles, CA , USA , L4DC 2026 , 2026-06-17 - 2026-06-19

Impressum[Erscheinungsort nicht ermittelbar] : MLResearchPress

Umfang1638-1662

ReiheProceedings of machine learning research ; 331

Online
URL: https://proceedings.mlr.press/v331/vertovec26a.html

Einrichtungen

  1. Lehrstuhl für Softwaremodellierung und Verifikation (Informatik 2) (121310)
  2. Lehrstuhl für Data Science im Maschinenbau (422610)


External link:
Download fulltext
Fulltext

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer review status of article unknown

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105046114918
WOS Core Collection: WOS:001863802500082

Interne Identnummern
RWTH-2026-10101
Datensatz-ID: 1045158

Beteiligte Länder
Germany, Italy, Netherlands, UK

 GO


QR Code for this record

The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Mechanical Engineering (Fac.4)
Faculty of Computer Science (Fac.9)
Public records
Publications database
121310
422610

 Record created 2026-10-26, last modified 2026-10-27


External link:
Download fulltext
Fulltext
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)