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Trent Kyono
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Year
Improving workflow efficiency for mammography using machine learning
T Kyono, FJ Gilbert, M van der Schaar
Journal of the American College of Radiology 17 (1), 56-63, 2020
522020
Triage of 2d mammographic images using multi-view multi-task convolutional neural networks
T Kyono, FJ Gilbert, MVD Schaar
ACM Transactions on Computing for Healthcare 2 (3), 1-24, 2021
30*2021
CASTLE: Regularization via Auxiliary Causal Graph Discovery
T Kyono, Y Zhang, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS), 2020
192020
Commentator: A front-end user-interface module for graphical and structural equation modeling
T Kyono
University of California, Los Angeles (M.S. Thesis under Judea Pearl), 2010
162010
Machine learning for quality assessment of ground-based optical images of satellites
T Kyono, J Lucas, M Werth, B Calef, I McQuaid, J Fletcher
Optical Engineering 59 (5), 051403, 2020
142020
Multi-view multi-task learning for improving autonomous mammogram diagnosis
T Kyono, FJ Gilbert, M Schaar
Machine Learning for Healthcare Conference, 571-591, 2019
122019
Recovering astronomical images with deep neural network supported bispectrum processing
J Lucas, B Calef, T Kyono
Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, 2018
102018
Automated interpretability scoring of ground-based observations of leo objects with deep learning
J Lucas, M Werth, T Kyono, I Mcquaid, J Fletcher
2020 IEEE Aerospace Conference, 1-7, 2020
82020
SILO: A machine learning dataset of synthetic ground-based observations of LEO satellites
M Werth, J Lucas, T Kyono, I McQuaid, J Fletcher
2020 IEEE Aerospace Conference, 1-8, 2020
82020
Determining Multi-frame Blind Deconvolution Resolvability using Deep Learning
T Kyono, J Lucas, M Werth, J Flecther, I McQuaid
Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, 62, 2019
82019
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
T Kyono, Y Zhang, A Bellot, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
62021
Estimating Satellite Orientation through Turbulence with Deep Learning
J Lucas, T Kyono, M Werth, N Gagnier, Z Endsley, J Fletcher, I McQuaid
Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, 2020
52020
Quality-Weighted Iterative Deconvolution (QWID)
M Werth, T Kyono, J Lucas, J Fletcher, I Mcquaid, M Brannon
Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference, 2020
52020
Improving model robustness using causal knowledge
T Kyono, M van der Schaar
arXiv preprint arXiv:1911.12441, 2019
52019
Automated Resolution Scoring of Ground-Based LEO Observations Using Convolutional Neural Networks
J Lucas, T Kyono, M Werth, J Flecther, I McQuaid
Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, 18, 2019
52019
Siamese survival analysis with competing risks
A Nemchenko, T Kyono, MVD Schaar
International Conference on Artificial Neural Networks, 260-269, 2018
52018
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
B van Breugel*, T Kyono*, J Berrevoets, M van der Schaar
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
42021
MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis. arXiv e-prints, 2018: p
T Kyono, FJ Gilbert, M van der Schaar
arXiv preprint arXiv:1811.02661, 0
4*
Exploiting Causal Structure for Robust Model Selection in Unsupervised Domain Adaptation
T Kyono, M Van der Schaar
IEEE Transactions on Artificial Intelligence 2 (6), 494-507, 2021
32021
Towards Real-Time Image Reconstruction Using Deep Neural Networks
T Kyono, J Lucas, M Werth, J Fletcher, I McQuaid
Advanced Maui Optical and Space Surveillance Technologies (AMOS) Conference, 2020
32020
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