◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

B. Sniezynski

2 papers hereh-index 14661 citations91 works total

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

author position
  • middle author1
  • last author1

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

fields
  • cs.AI1
  • cs.RO1

identity via Semantic Scholar / OpenAlex

most citedWATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data

22 citations · 22 across the 1 of their papers we have counts for

collaborators

2 papers

cs.AI2022★ 22 cited

WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data

Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski +2

Detecting relevant changes in dynamic time series data in a timely manner is crucially important for many data analysis tasks in real-world settings. Change point detection methods…

cs.RO2018

Adapting Everyday Manipulation Skills to Varied Scenarios

Pawel Gajewski, Paulo Ferreira, Georg Bartels +5

We address the problem of executing tool-using manipulation skills in scenarios where the objects to be used may vary. We assume that point clouds of the tool and target object can…

◍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.