◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. F. Hübner

8 papers hereh-index 255k citations158 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.MA7
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedPhysics-Informed Neural Nets for Control of Dynamical Systems

142 citations · 151 across the 8 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.MA2021

Developer Operations and Engineering Multi-Agent Systems

Timotheus Kampik, Cleber Jorge Amaral, Jomi Fred Hübner

In this paper, we propose the integration of approaches to Engineering Multi-Agent Systems (EMAS) with the Developer Operations (DevOps) industry best practice. Whilst DevOps facil…

cs.MA2021

Coupling purposes with status-functions in artificial institutions

Rafhael R. Cunha, Jomi Fred Hübner, Maiquel de Brito

In multi-agent systems, the agents may have goals that depend on a social, shared interpretation about the facts occurring in the system. These are the so-called social goals. Arti…

cs.LG2021★ 142 cited

Physics-Informed Neural Nets for Control of Dynamical Systems

Eric Aislan Antonelo, Eduardo Camponogara, Laio Oriel Seman +3

Physics-informed neural networks (PINNs) impose known physical laws into the learning of deep neural networks, making sure they respect the physics of the process while decreasing…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.