Sean Augenstein - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Learning to Generate Image Embeddings with User-Level Differential PrivacyZheng Xu 0002, Maxwell D. Collins, Yuxiao Wang 0001, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu 0005, Florian Schroff, H. Brendan McMahan. cvpr 2023: 7969-7980 [doi]

2022

Production federated keyword spotting via distillation, filtering, and joint federated-centralized trainingAndrew Hard, Kurt Partridge, Neng Chen, Sean Augenstein, Aishanee Shah, Hyun-Jin Park, Alex Park 0001, Sara Ng, Jessica Nguyen, Ignacio Lopez-Moreno, Rajiv Mathews, Françoise Beaufays. interspeech 2022: 76-80 [doi]

2020

Generative Models for Effective ML on Private, Decentralized DatasetsSean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agüera y Arcas. iclr 2020: [doi]

2016

Optimal Scheduling of a Constellation of Earth-Imaging Satellites, for Maximal Data Throughput and Efficient Human ManagementSean Augenstein, Alejandra Estanislao, Emmanuel Guere, Sean Blaes. aips 2016: 345-352 [doi]

2014

Optimal Scheduling of Earth-Imaging Satellites with Human Collaboration via Directed Acyclic GraphsSean Augenstein. aaaiss 2014: [doi]

2012

Tumbling target reconstruction and pose estimation through fusion of monocular vision and sparse-pattern range dataJose Padial, Marcus Hammond, Sean Augenstein, Stephen M. Rock. mfi 2012: 419-425 [doi]

2011

Improved frame-to-frame pose tracking during vision-only SLAM/SFM with a tumbling targetSean Augenstein, Stephen M. Rock. icra 2011: 3131-3138 [doi]

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