Edward Kim

Affiliations:
  • University of California, Berkeley, CA, USA


According to our database1, Edward Kim authored at least 16 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Scenic: a language for scenario specification and data generation.
Mach. Learn., October, 2023

3D Environment Modeling for Falsification and Beyond with Scenic 3.0.
Proceedings of the Computer Aided Verification - 35th International Conference, 2023

2022
Demo: Querying Labelled Data with Scenario Programs for Sim-to-Real Validation.
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Querying Labelled Data with Scenario Programs for Sim-to-Real Validation.
Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A Scenario-Based Platform for Testing Autonomous Vehicle Behavior Prediction Models in Simulation.
CoRR, 2021

Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments.
CoRR, 2021

Parallel and Multi-objective Falsification with Scenic and VerifAI.
Proceedings of the Runtime Verification - 21st International Conference, 2021

Addressing the IEEE AV Test Challenge with Scenic and VerifAI.
Proceedings of the 2021 IEEE International Conference on Artificial Intelligence Testing, 2021

2020
A Customizable Dynamic Scenario Modeling and Data Generation Platform for Autonomous Driving.
CoRR, 2020

Formal Scenario-Based Testing of Autonomous Vehicles: From Simulation to the Real World.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors.
CoRR, 2019

VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems.
CoRR, 2019

VerifAI: A Toolkit for the Formal Design and Analysis of Artificial Intelligence-Based Systems.
Proceedings of the Computer Aided Verification - 31st International Conference, 2019

2018
Formal Specification for Deep Neural Networks.
Proceedings of the Automated Technology for Verification and Analysis, 2018


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