Zobrazeno 1 - 10
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pro vyhledávání: '"Rathbun P"'
Pump and probe scalar atomic magnetometers show incredible potential for real-world, traditionally difficult measurement environments due to their high dynamic range and linearity. Previously, it has been assumed these scalar magnetometer have a flat
Externí odkaz:
http://arxiv.org/abs/2410.18224
Autor:
Singh, Aditya Vikram, Rathbun, Ethan, Graham, Emma, Oakley, Lisa, Boboila, Simona, Oprea, Alina, Chin, Peter
Recent advances in multi-agent reinforcement learning (MARL) have created opportunities to solve complex real-world tasks. Cybersecurity is a notable application area, where defending networks against sophisticated adversaries remains a challenging t
Externí odkaz:
http://arxiv.org/abs/2410.17351
Recent works have demonstrated the vulnerability of Deep Reinforcement Learning (DRL) algorithms against training-time, backdoor poisoning attacks. These attacks induce pre-determined, adversarial behavior in the agent upon observing a fixed trigger
Externí odkaz:
http://arxiv.org/abs/2410.13995
Autor:
Mura, Alessandro, Tosi, Federico, Zambon, Francesca, Lopes, Rosaly M. C., Mouginis-Mark, Pete J., Radebaugh, Jani, Adriani, Alberto, Bolton, Scott, Rathbun, Julie, Cicchetti, Andrea, Grassi, Davide, Noschese, Raffaella, Piccioni, Giuseppe, Plainaki, Christina, Sordini, Roberto, Sindoni, Giuseppe
We report recent observations of lava lakes within patera on Io made by the JIRAM imager/spectrometer on board the Juno spacecraft, taken during close observation occurred in the extended mission. At least 40 lava lakes have been identified from JIRA
Externí odkaz:
http://arxiv.org/abs/2410.10688
We obtain a correspondence between pairs of $N\times N$ orthogonal Latin squares and pairs of disconnected maximal cliques in the derangement graph with $N$ symbols. Motivated by methods in spectral clustering, we also obtain modular conditions on fi
Externí odkaz:
http://arxiv.org/abs/2407.14155
Reinforcement learning (RL) is an actively growing field that is seeing increased usage in real-world, safety-critical applications -- making it paramount to ensure the robustness of RL algorithms against adversarial attacks. In this work we explore
Externí odkaz:
http://arxiv.org/abs/2405.20539
Autor:
Deng, Jieren, Palmer, Aaron, Mahmood, Rigel, Rathbun, Ethan, Bi, Jinbo, Mahmood, Kaleel, Aguiar, Derek
Achieving resiliency against adversarial attacks is necessary prior to deploying neural network classifiers in domains where misclassification incurs substantial costs, e.g., self-driving cars or medical imaging. Recent work has demonstrated that rob
Externí odkaz:
http://arxiv.org/abs/2402.15586
Autor:
Sand AE, Powell TE, Marry HT, Rathbun HR, Steege JR, LeMahieu A, Jacob AK, D'Souza RS, Olatoye OO
Publikováno v:
Journal of Pain Research, Vol Volume 17, Pp 3267-3275 (2024)
Addyson E Sand,1 Tyler E Powell,1 Helen T Marry,1 Heather R Rathbun,1 Jenna R Steege,1 Allison LeMahieu,2 Adam K Jacob,1 Ryan S D’Souza,1 Oludare O Olatoye1 1Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA;
Externí odkaz:
https://doaj.org/article/374141f2539d4e239372a0c175136048
Autor:
Tate, Christian D., Rathbun, Julie A., Hayes, Alexander G., Lopes, Rosaly M. C., Pettine, Madeline
This study analyzes Io's thermally detected volcanic outbursts and mini-outbursts, generally called bright transient eruptions. We examine their evolving characteristics over the history of outburst observations between the Voyager flybys in 1978 and
Externí odkaz:
http://arxiv.org/abs/2309.15231
Autor:
Tate, Christian D., Rathbun, Julie A., Hayes, Alexander G., Spencer, John R., Pettine, Madeline
This study analyzes near-infrared measurements of Io, Jupiter's moon, observed over 170 nights from 2016 to early 2022 using the NASA Infrared Telescope Facility (IRTF). During this period, seven new volcanic outbursts, the most energetic volcanic ev
Externí odkaz:
http://arxiv.org/abs/2308.07864