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Kyle D. Julian

12 papers hereh-index 174k citations25 works total

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

author position
  • first author5
  • middle author7

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.AI3
  • cs.RO3
  • cs.LO1
  • eess.SY1

identity via Semantic Scholar / OpenAlex

activity
20172024
most citedTowards Proving the Adversarial Robustness of Deep Neural Networks

119 citations · 120 across the 2 of their papers we have counts for

collaborators
Showing cs.ROShow all

3 papers · 1 filter

cs.RO2020★ 1 cited

Validation of Image-Based Neural Network Controllers through Adaptive Stress Testing

Kyle D. Julian, Ritchie Lee, Mykel J. Kochenderfer

Neural networks have become state-of-the-art for computer vision problems because of their ability to efficiently model complex functions from large amounts of data. While neural n…

cs.RO2018

Distributed Wildfire Surveillance with Autonomous Aircraft using Deep Reinforcement Learning

Kyle D. Julian, Mykel J. Kochenderfer

Teams of autonomous unmanned aircraft can be used to monitor wildfires, enabling firefighters to make informed decisions. However, controlling multiple autonomous fixed-wing aircra…

cs.RO2018

Image-based Guidance of Autonomous Aircraft for Wildfire Surveillance and Prediction

Kyle D. Julian, Mykel J. Kochenderfer

Small unmanned aircraft can help firefighters combat wildfires by providing real-time surveillance of the growing fires. However, guiding the aircraft autonomously given only wildf…

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