Jaime Peña

Orcid: 0009-0008-6472-5605

Affiliations:
  • MIT Lincoln Laboratory, Lexington, MA, USA


According to our database1, Jaime Peña authored at least 12 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Syndeo: Portable Ray Clusters with Secure Containerization.
CoRR, 2024

STL: Still Tricky Logic (for System Validation, Even When Showing Your Work).
CoRR, 2024

Why Would You Suggest That? Human Trust in Language Model Responses.
CoRR, 2024

Language, Camera, Autonomy! Prompt-engineered Robot Control for Rapidly Evolving Deployment.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2021
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research.
Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Assessing Mission Performance for Technology Reliant Missions.
Proceedings of the 53rd Hawaii International Conference on System Sciences, 2020

2019
Proactive Cyber Situation Awareness via High Performance Computing.
Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

2017
A nature-inspired decision system for secure cyber network architecture.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Capturing the security effects of network segmentation via a continuous-time markov chain model.
Proceedings of the 50th Annual Simulation Symposium, Virginia Beach, VA, USA, April 23, 2017

2016
Towards automated cyber decision support: A case study on network segmentation for security.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Quantitative analysis of the mission impact for host-level cyber defensive mitigations.
Proceedings of the 49th Annual Simulation Symposium, 2016


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