◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Aurélie Boisbunon

3 papers hereh-index 15 citations5 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • stat.ML1
same name
  • Aurélie Boisbunon — 3 papers, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedDeep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ML2026

Domain Adaptation Under Wireless Network Constraints: When Does It Become Green?

Illyyne Saffar, Aurélie Boisbunon, Shruti Bothe

The deployment of data-driven models in 6G wireless networks is increasingly challenged by frequent distribution shifts that degrade performance over time. Unsupervised Domain Adap…

cs.LG2025

Through the telecom lens: Are all training samples important?

Shruti Bothe, Illyyne Saffar, Aurelie Boisbunon +3

The rise of AI in telecommunications, from optimizing Radio Access Networks to managing user experience, has sharply increased data volumes and training demands. Telecom data is of…

cs.LG2023★ 2 cited

Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark

Hassan Ismail Fawaz, Ganesh Del Grosso, Tanguy Kerdoncuff +2

Unsupervised Domain Adaptation (UDA) aims to harness labeled source data to train models for unlabeled target data. Despite extensive research in domains like computer vision and n…

◍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.