Arash Rahnama

24 papers A* 1C 3Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback.
CoRR
Yen-Ting Lin, Di Jin, Tengyu Xu, Tianhao Wu, Sainbayar Sukhbaatar, Chen Zhu, Yun He, Yun-Nung Chen, Jason Weston, Yuandong Tian, Arash Rahnama, Sinong Wang, Hao Ma, Han Fang
2022 J jnl
Robustness Against Adversarial Attacks in Neural Networks Using Incremental Dissipativity.
IEEE Control. Syst. Lett.
Bernardo Aquino, Arash Rahnama, Peter J. Seiler, Lizhen Lin, Vijay Gupta
2021 J jnl
Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training.
CoRR
Can Karakus, Rahul Huilgol, Fei Wu, Anirudh Subramanian, Cade Daniel, Derya Çavdar, Teng Xu, Haohan Chen, Arash Rahnama, Luis Quintela
2021 — conf
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks.
CVPR Workshops
Arash Rahnama, Andrew Tseng
2021 J jnl
Robustness against Adversarial Attacks in Neural Networks using Incremental Dissipativity.
CoRR
Bernardo Aquino, Arash Rahnama, Peter Seiler, Lizhen Lin, Vijay Gupta
2020 J jnl
An Adversarial Approach for Explaining the Predictions of Deep Neural Networks.
CoRR
Arash Rahnama, Andrew Tseng
2020 J jnl
Learning-Based Event-Triggered Control for Synchronization of Passive Multiagent Systems Under Attack.
IEEE Trans. Autom. Control.
Arash Rahnama, Panos J. Antsaklis
2020 A* conf
Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory.
CVPR
Arash Rahnama, André T. Nguyen, Edward Raff
2019 J jnl
A QSR-Dissipativity Based Design for Event-Triggered Networked Systems.
IEEE Trans. Autom. Control.
Arash Rahnama, Meng Xia, Panos J. Antsaklis
2019 J jnl
Connecting Lyapunov Control Theory to Adversarial Attacks.
CoRR
Arash Rahnama, André T. Nguyen, Edward Raff
2019 J jnl
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory.
CoRR
Arash Rahnama, André T. Nguyen, Edward Raff
2018 J jnl
Control Design Using Passivation for Stability and Performance.
IEEE Trans. Autom. Control.
Meng Xia, Arash Rahnama, Shige Wang, Panos J. Antsaklis
2018 J jnl
Control and Machine Intelligence for System Autonomy.
J. Intell. Robotic Syst.
Panos J. Antsaklis, Arash Rahnama
2018 J jnl
Network-based protein structural classification.
CoRR
Arash Rahnama, Khalique Newaz, Panos J. Antsaklis, Tijana Milenkovic
2018 J jnl
Passivity-Based Design for Event-Triggered Networked Control Systems.
IEEE Trans. Autom. Control.
Arash Rahnama, Meng Xia, Panos J. Antsaklis
2017 J jnl
A Passivity-Based Design for Stability and Robustness in Event-Triggered Networked Control Systems with Communication Delays, Signal Quantizations and Packet Dropouts.
CoRR
Arash Rahnama, Meng Xia, Panos J. Antsaklis
2017 — conf
A passivity-based self-triggered strategy for cyber physical systems under denial-of-service attack.
CDC
Yang Yan, Meng Xia, Arash Rahnama, Panos J. Antsaklis
2017 C conf
Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning.
BIBE
Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural
2017 J jnl
Encoding Multi-Resolution Brain Networks Using Unsupervised Deep Learning.
CoRR
Arash Rahnama, Abdullah Alchihabi, Vijay Gupta, Panos J. Antsaklis, Fatos T. Yarman-Vural
2017 J jnl
Resilient Learning-Based Control for Synchronization of Passive Multi-Agent Systems under Attack.
CoRR
Arash Rahnama, Panos J. Antsaklis
2016 — conf
A QSR-dissipativity and passivity based analysis of event-triggered networked control systems.
CDC
Arash Rahnama, Meng Xia, Panos J. Antsaklis
2016 C conf
Passivation and performance optimization using an extremum seeking co-simulation framework with application to Adaptive Cruise Control systems.
ACC
Arash Rahnama, Meng Xia, Shige Wang, Panos J. Antsaklis
2016 C conf
Performance optimization based on passivation of systems with applications to systems with input/output delay.
ACC
Meng Xia, Arash Rahnama, S. Wang, Panos J. Antsaklis
2015 — conf
On guaranteeing passivity and performance with a human controller.
MED
Meng Xia, Arash Rahnama, Shige Wang, Panos J. Antsaklis