Brandon Fallin

According to our database, Brandon Fallin authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Differentially Private Data-Driven Markov Chain Modeling.

Alexander Benvenuti, Brandon Fallin, Calvin Hawkins, Brendan J. Bialy, Miriam E. Dennis, Warren E. Dixon, Matthew T. Hale

CoRR, February, 2026

2024

Differentially Private Reward Functions for Markov Decision Processes.

Alexander Benvenuti, Calvin Hawkins, Brandon Fallin, Bo Chen, Brendan J. Bialy, Miriam E. Dennis, Matthew Hale

Proceedings of the IEEE Conference on Control Technology and Applications, 2024

Differentially Private Computation of Basic Reproduction Numbers in Networked Epidemic Models.

Bo Chen, Baike She, Calvin Hawkins, Alexander Benvenuti, Brandon Fallin, Philip E. Paré, Matthew Hale

Proceedings of the American Control Conference, 2024

2023

Differentially Private Reward Functions for Multi-Agent Markov Decision Processes.

Alexander Benvenuti, Calvin Hawkins, Brandon Fallin, Bo Chen, Brendan J. Bialy, Miriam E. Dennis, Matthew T. Hale

CoRR, 2023

Differential Privacy for Stochastic Matrices Using the Matrix Dirichlet Mechanism.

Brandon Fallin, Calvin Hawkins, Bo Chen, Parham Gohari, Alexander Benvenuti, Ufuk Topcu, Matthew T. Hale

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023