Ryan A. Goldhahn

According to our database, Ryan A. Goldhahn authored at least 19 papers between 2007 and 2023.

Collaborative distances:

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

2023

Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving.

Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Less is More: Data Pruning for Faster Adversarial Training.

Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn

Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023

2022

Robust Decentralized Learning Using ADMM With Unreliable Agents.

Qunwei Li, Bhavya Kailkhura, Ryan A. Goldhahn, Priyadip Ray, Pramod K. Varshney

IEEE Trans. Signal Process., 2022

Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed.

Hao Cheng, Pu Zhao, Yize Li, Xue Lin, James Diffenderfer, Ryan A. Goldhahn, Bhavya Kailkhura

CoRR, 2022

More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression.

Hao Cheng, Kaidi Xu, Zhengang Li, Pu Zhao, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling.

Braden C. Soper, Priyadip Ray, Jose Cadena, Hao Chen, Ryan A. Goldhahn

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Stochastic Gradient-Based Distributed Bayesian Estimation in Cooperative Sensor Networks.

Jose Cadena, Priyadip Ray, Hao Chen, Braden Soper, Deepak Rajan, Anton Yen, Ryan A. Goldhahn

IEEE Trans. Signal Process., 2021

Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations.

Hao Cheng, Kaidi Xu, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn

CoRR, 2021

Hybrid Information-driven Multi-agent Reinforcement Learning.

William A. Dawson, Ruben Glatt, Edward Rusu, Braden C. Soper, Ryan A. Goldhahn

CoRR, 2021

Collaborative energy demand response with decentralized actor and centralized critic.

Ruben Glatt, Felipe Leno da Silva, Braden Soper, William A. Dawson, Edward Rusu, Ryan A. Goldhahn

Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing.

Cheng Chen, Bhavya Kailkhura, Ryan A. Goldhahn, Yi Zhou

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Decentralized Black-Box Variational Inference for Bayesian Learning on Sensor Networks.

Jose Cadena, Priyadip Ray, Ryan A. Goldhahn

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2019

Sequential optimal positioning of mobile sensors using mutual information.

Kathleen L. Schmidt, Ralph C. Smith, Jason M. Hite, John K. Mattingly, Yousry Y. Azmy, Deepak Rajan, Ryan A. Goldhahn

Stat. Anal. Data Min., 2019

2017

Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines.

Qunwei Li, Bhavya Kailkhura, Ryan A. Goldhahn, Priyadip Ray, Pramod K. Varshney

CoRR, 2017

Byzantine-Resilient locally optimum detection using collaborative autonomous networks.

Bhavya Kailkhura, Priyadip Ray, Deepak Rajan, Anton Yen, Peter D. Barnes Jr., Ryan A. Goldhahn

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2014

Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity.

Ryan A. Goldhahn, Paolo Braca, Kevin D. LePage, Peter Willett, Stefano Maranò, Vincenzo Matta

Proceedings of the IEEE International Conference on Acoustics, 2014

Cognitive multistatic AUV networks.

Paolo Braca, Ryan A. Goldhahn, Kevin D. LePage, Stefano Maranò, Vincenzo Matta, Peter Willett

Proceedings of the 17th International Conference on Information Fusion, 2014

A non-myopic, receding horizon control strategy for an AUV to track an underwater target in a bistatic sonar scenario.

Gabriele Ferri, Andrea Munafò, Ryan A. Goldhahn, Kevin D. LePage

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2007

Waveguide Invariant Reverberation Mitigation for Active Sonar.

Ryan A. Goldhahn, Granger Hickman, Jeffrey L. Krolik

Proceedings of the IEEE International Conference on Acoustics, 2007