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researcher

Walid Keyrouz

4 papers hereh-index 9413 citations40 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CR1
  • cs.LG1
  • physics.chem-ph1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedPredicting Kovats Retention Indices Using Graph Neural Networks

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2026

Toward Reusability of AI Models Using Dynamic Updates of AI Documentation

Peter Bajcsy, Walid Keyrouz

This work addresses the challenge of disseminating reusable artificial intelligence (AI) models accompanied by AI documentation (a.k.a., AI model cards). The work is motivated by t…

cs.CR2026

Trojans in Artificial Intelligence (TrojAI) Final Report

Kristopher W. Reese, Taylor Kulp-McDowall, Michael Majurski +68

The Intelligence Advanced Research Projects Activity (IARPA) launched the TrojAI program to confront an emerging vulnerability in modern artificial intelligence: the threat of AI T…

cs.LG2022

AI Model Utilization Measurements For Finding Class Encoding Patterns

Peter Bajcsy, Antonio Cardone, Chenyi Ling +5

This work addresses the problems of (a) designing utilization measurements of trained artificial intelligence (AI) models and (b) explaining how training data are encoded in AI mod…

physics.chem-ph2020★ 2 cited

Predicting Kovats Retention Indices Using Graph Neural Networks

Chen Qu, Barry I. Schneider, Anthony J. Kearsley +2

The \kovats retention index is a dimensionless quantity that characterizes the rate at which a compound is processed through a gas chromatography column. This quantity is independe…

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