20132019
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Fingerprint Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Signal to noise ratio Engineering & Materials Science
kernel Mathematics
Bispectrum Mathematics
Gravity waves Engineering & Materials Science
sea ice Earth & Environmental Sciences
Astrophysics Engineering & Materials Science
Madden-Julian oscillation Earth & Environmental Sciences
Spatio-temporal Patterns Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2013 2019

  • 9 Article
  • 5 Conference contribution
  • 1 Commissioned report
  • 1 Paper

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era

Allen, G., Andreoni, I., Bachelet, E., Berriman, G. B., Bianco, F. B., Biswas, R., Kind, M. C., Chard, K., Cho, M., Cowperthwaite, P. S., Etienne, Z. B., George, D., Gibbs, T., Graham, M., Gropp, W., Gupta, A., Haas, R., Huerta, E. A., Jennings, E., Katz, D. S. & 28 others, Khan, A., Kindratenko, V., Kramer, W. T. C., Liu, X., Mahabal, A., McHenry, K., Miller, J. M., Neubauer, M. S., Oberlin, S., Jr, A. R. O., Rosofsky, S., Ruiz, M., Saxton, A., Schutz, B., Schwing, A., Seidel, E., Shapiro, S. L., Shen, H., Shen, Y., Sipőcz, B. M., Sun, L., Towns, J., Tsokaros, A., Wei, W., Wells, J., Williams, T. J., Xiong, J. & Zhao, Z., Feb 1 2019, 15 p.

Research output: Book/ReportCommissioned report

Astrophysics
Artificial intelligence
Gravity waves
Astronomy
Big data

Denoising Gravitational Waves with Enhanced Deep Recurrent Denoising Auto-encoders

Shen, H., George, D., Huerta, E. A. & Zhao, Z., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3237-3241 5 p. 8683061. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gravity waves
Signal to noise ratio
Curricula
Time series
Topology

Geometric Invariants for Sparse Unknown View Tomography

Zehni, M., Huang, S., Dokmanic, I. & Zhao, Z., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 5027-5031 5 p. 8682401. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tomography
Pipelines
Geometry

LanczosNet: Multi-scale deep graph convo-lutional networks

Liao, R., Zhao, Z., Urtasun, R. & Zemel, R. S., Jan 1 2019.

Research output: Contribution to conferencePaper

Quantum chemistry
Convolution
Decomposition
learning method
learning

Predicting regional and pan-Arctic sea ice anomalies with kernel analog forecasting

Comeau, D., Giannakis, D., Zhao, Z. & Majda, A. J., May 1 2019, In : Climate Dynamics. 52, 9-10, p. 5507-5525 19 p.

Research output: Contribution to journalArticle

sea ice
anomaly
prediction
marginal ice zone
historical record