◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Andréa Gesmundo

2 papers here

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

author position
  • sole author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedA Continual Development Methodology for Large-scale Multitask Dynamic ML Systems

19 citations · 21 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 2 cited

Multipath agents for modular multitask ML systems

Andrea Gesmundo

A standard ML model is commonly generated by a single method that specifies aspects such as architecture, initialization, training data and hyperparameters configuration. The prese…

cs.LG2022★ 19 cited

A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems

Andrea Gesmundo

The traditional Machine Learning (ML) methodology requires to fragment the development and experimental process into disconnected iterations whose feedback is used to guide design…

◍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.