Yasaman Esfandiari

According to our database, Yasaman Esfandiari authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

LLMs for Analog Circuit Design Continuum (ACDC).

Yasaman Esfandiari, Jocelyn Rego, Austin Meyer, Jonathan Gallagher, Mia Levy

CoRR, December, 2025

Provably effective detection of effective data poisoning attacks.

Jonathan Gallagher, Yasaman Esfandiari, Callen MacPhee, Michael A. Warren

CoRR, January, 2025

2024

Dominating Set Model Aggregation for communication-efficient decentralized deep learning.

Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar

Neural Networks, 2024

2022

Robust and scalable deep learning for cyber-physical systems.

Yasaman Esfandiari

PhD thesis, 2022

2021

A fast saddle-point dynamical system approach to robust deep learning.

Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar

Neural Networks, 2021

Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data.

Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar

Proceedings of the 38th International Conference on Machine Learning, 2021

Query-based targeted action-space adversarial policies on deep reinforcement learning agents.

Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar

Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

2020

Robustifying Reinforcement Learning Agents via Action Space Adversarial Training.

Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Aakanksha, Soumik Sarkar

Proceedings of the 2020 American Control Conference, 2020

2019

A Saddle-Point Dynamical System Approach for Robust Deep Learning.

Yasaman Esfandiari, Keivan Ebrahimi, Aditya Balu, Nicola Elia, Umesh Vaidya, Soumik Sarkar

CoRR, 2019