Edward Kim

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


According to our database1, Edward Kim authored at least 23 papers between 2018 and 2025.

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

2025
Training-Free Active Learning Framework in Materials Science with Large Language Models.
CoRR, November, 2025

Clinician-Directed Large Language Model Software Generation for Therapeutic Interventions in Physical Rehabilitation.
CoRR, November, 2025

Interactive Program Synthesis for Modeling Collaborative Physical Activities from Narrated Demonstrations.
CoRR, September, 2025

Querying Labeled Time Series Data with Scenario Programs.
Proceedings of the NASA Formal Methods - 17th International Symposium, 2025

2024
Evaluating the Performance and Robustness of LLMs in Materials Science Q&A and Property Predictions.
CoRR, 2024

Dynamic, Multi-objective Specification and Falsification of Autonomous CPS.
Proceedings of the Runtime Verification - 24th International Conference, 2024

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

Simulation-Based Testing, Validation, and Training with Probabilistic Programming
PhD thesis, 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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