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researcher

Itai Segall

3 papers here

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

author position
  • last author3

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

fields
  • cs.LG1
  • cs.PL1
  • cs.SE1
same name
  • Itai Segall — 1 paper

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
20182021
most citedVerifying Robustness of Gradient Boosted Models

6 citations · 6 across the 2 of their papers we have counts for

collaborators

3 papers

cs.PL2021

The Resh Programming Language for Multirobot Orchestration

Martin Carroll, Kedar S. Namjoshi, Itai Segall

This paper describes Resh, a new, statically typed, interpreted programming language and associated runtime for orchestrating multirobot systems. The main features of Resh are: (1)…

cs.LG2019★ 6 cited

Verifying Robustness of Gradient Boosted Models

Gil Einziger, Maayan Goldstein, Yaniv Sa'ar +1

Gradient boosted models are a fundamental machine learning technique. Robustness to small perturbations of the input is an important quality measure for machine learning models, bu…

cs.SE2018

Learning Software Constraints via Installation Attempts

Ran Ben Basat, Maayan Goldstein, Itai Segall

Modern software systems are expected to be secure and contain all the latest features, even when new versions of software are released multiple times an hour. Each system may inclu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.