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ORCIDRyan A. Goldhahn
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2020 – today
- 2023
[c12]Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
Less is More: Data Pruning for Faster Adversarial Training. SafeAI@AAAI 2023- [c11]Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn:
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. DATE 2023: 1-2 - [i8]Yize Li, Pu Zhao, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
Less is More: Data Pruning for Faster Adversarial Training. CoRR abs/2302.12366 (2023) - [i7]Kshitij Bhardwaj, Zishen Wan, Arijit Raychowdhury, Ryan A. Goldhahn:
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving. CoRR abs/2306.16660 (2023) - 2022
- [j3]Qunwei Li
, Bhavya Kailkhura, Ryan A. Goldhahn, Priyadip Ray, Pramod K. Varshney:
Robust Decentralized Learning Using ADMM With Unreliable Agents. IEEE Trans. Signal Process. 70: 2743-2757 (2022) - [c10]Braden C. Soper, Priyadip Ray, Jose Cadena, Hao Chen, Ryan A. Goldhahn:
Bayesian Multiagent Active Sensing and Localization via Decentralized Posterior Sampling. IEEECONF 2022: 371-375 - [c9]Hao Cheng, Kaidi Xu, Zhengang Li, Pu Zhao, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. WACV (Workshops) 2022: 645-655 - [i6]Hao Cheng, Pu Zhao, Yize Li, Xue Lin, James Diffenderfer, Ryan A. Goldhahn, Bhavya Kailkhura:
Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed. CoRR abs/2209.12839 (2022) - 2021
- [j2]Jose Cadena, Priyadip Ray, Hao Chen, Braden Soper, Deepak Rajan, Anton Yen, Ryan A. Goldhahn:
Stochastic Gradient-Based Distributed Bayesian Estimation in Cooperative Sensor Networks. IEEE Trans. Signal Process. 69: 1713-1724 (2021) - [c8]Jose Cadena, Priyadip Ray, Ryan A. Goldhahn:
Decentralized Black-Box Variational Inference for Bayesian Learning on Sensor Networks. ACSCC 2021: 150-155 - [c7]Cheng Chen, Bhavya Kailkhura, Ryan A. Goldhahn, Yi Zhou:
Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing. MASS 2021: 173-179 - [c6]Ruben Glatt, Felipe Leno da Silva, Braden Soper, William A. Dawson, Edward Rusu, Ryan A. Goldhahn:
Collaborative energy demand response with decentralized actor and centralized critic. BuildSys 2021: 333-337 - [i5]William A. Dawson, Ruben Glatt, Edward Rusu, Braden C. Soper, Ryan A. Goldhahn:
Hybrid Information-driven Multi-agent Reinforcement Learning. CoRR abs/2102.01004 (2021) - [i4]Cheng Chen, Bhavya Kailkhura, Ryan A. Goldhahn, Yi Zhou:
Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing. CoRR abs/2103.16031 (2021) - [i3]Hao Cheng, Kaidi Xu, Chenan Wang, Xue Lin, Bhavya Kailkhura, Ryan A. Goldhahn:
Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations. CoRR abs/2104.10586 (2021)
2010 – 2019
- 2019
- [j1]Kathleen L. Schmidt, Ralph C. Smith, Jason M. Hite, John K. Mattingly, Yousry Y. Azmy, Deepak Rajan, Ryan A. Goldhahn:
Sequential optimal positioning of mobile sensors using mutual information. Stat. Anal. Data Min. 12(6): 465-478 (2019) - 2018
- [i2]Bhavya Kailkhura, Priyadip Ray, Deepak Rajan, Anton Yen, Peter D. Barnes Jr., Ryan A. Goldhahn:
Byzantine-Resilient Locally Optimum Detection Using Collaborative Autonomous Networks. CoRR abs/1803.01221 (2018) - 2017
- [c5]Bhavya Kailkhura, Priyadip Ray, Deepak Rajan, Anton Yen, Peter D. Barnes Jr., Ryan A. Goldhahn:
Byzantine-Resilient locally optimum detection using collaborative autonomous networks. CAMSAP 2017: 1-5 - [i1]Qunwei Li, Bhavya Kailkhura, Ryan A. Goldhahn, Priyadip Ray, Pramod K. Varshney:
Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines. CoRR abs/1710.05241 (2017) - 2014
- [c4]Gabriele Ferri, Andrea Munafò, Ryan A. Goldhahn, Kevin D. LePage:
A non-myopic, receding horizon control strategy for an AUV to track an underwater target in a bistatic sonar scenario. CDC 2014: 5352-5358 - [c3]Paolo Braca, Ryan A. Goldhahn, Kevin D. LePage, Stefano Maranò, Vincenzo Matta, Peter Willett:
Cognitive multistatic AUV networks. FUSION 2014: 1-7 - [c2]Ryan A. Goldhahn, Paolo Braca, Kevin D. LePage, Peter Willett, Stefano Maranò, Vincenzo Matta:
Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity. ICASSP 2014: 1458-1462
2000 – 2009
- 2007
- [c1]Ryan A. Goldhahn, Granger Hickman, Jeffrey L. Krolik:
Waveguide Invariant Reverberation Mitigation for Active Sonar. ICASSP (2) 2007: 941-944
Coauthor Index
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