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Kyle D. Julian

Stanford University · US
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Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research interests include Adversarial Robustness in Machine Learning, Advanced Neural Network Applications, Evacuation and Crowd Dynamics, and Autonomous Vehicle Technology and Safety.
h-index
14
citations
3,113
works
33
NIH funding
primary concept
email

Recent publications

Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
Lecture notes in computer science 2024cited by 32position: middledoi
Global optimization of objective functions represented by ReLU networks
Machine Learning 2021cited by 7position: middledoi
The Marabou Framework for Verification and Analysis of Deep Neural Networks
Lecture notes in computer science 2019cited by 476position: middledoi
Deep Neural Network Compression for Aircraft Collision Avoidance Systems
Journal of Guidance Control and Dynamics 2018cited by 178position: firstdoi
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Lecture notes in computer science 2017cited by 1,642position: middledoi
Policy compression for aircraft collision avoidance systems
2016cited by 244position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Mykel J. Kochenderfer · University of Chinese Academy of Sciences5 papers (2016–2021)Clark Barrett · Stanford University4 papers (2017–2024) · 3 papers (2019–2024) · 3 papers (2019–2024)Michael P. Owen · Massachusetts Institute of Technology2 papers (2016–2018)Guy Katz · Hebrew University of Jerusalem2 papers (2019–2021)Guy Katz · Hebrew University of Jerusalem2 papers (2017–2024)David L. Dill · Stanford University2 papers (2017–2019) · 1 papers (2019–2019) · 1 papers (2019–2019)Idan Refaeli · Hebrew University of Jerusalem1 papers (2024–2024)Guy Amir · Hebrew University of Jerusalem1 papers (2024–2024)Duligur Ibeling · University of Minnesota, Twin Cities1 papers (2019–2019)Wen Kokke · Utrecht University1 papers (2024–2024)Omri Isac · Hebrew University of Jerusalem1 papers (2024–2024)Rachel Lim · Brown University1 papers (2019–2019)Min Wu · Medical College of Wisconsin1 papers (2024–2024)Min Zhang · Shandong University of Technology1 papers (2024–2024)Ori Lahav · Hebrew University of Jerusalem1 papers (2024–2024)Jessica Lopez · University of Alabama at Birmingham1 papers (2016–2016)
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