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Personal profile

Research interests

I have been a researcher at Princeton University for 10 years, my focus has been Electrical Engineering for the last 5 years.

Fingerprint Dive into the research topics where Emmanuel Auguste Abbe is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Decoding Engineering & Materials Science
Polarization Engineering & Materials Science
Entropy Engineering & Materials Science
Polynomials Engineering & Materials Science
Recovery Engineering & Materials Science
Coding Mathematics
Maximum likelihood Engineering & Materials Science
Mutual Information Mathematics

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Research Output 2005 2019

Multireference Alignment Is Easier with an Aperiodic Translation Distribution

Abbe, E. A., Bendory, T., Leeb, W., Pereira, J. M., Sharon, N. & Singer, A., Jun 1 2019, In : IEEE Transactions on Information Theory. 65, 6, p. 3565-3584 20 p., 8590822.

Princeton University

Research output: Contribution to journalArticle

Signal to noise ratio
Mean square error

Chaining mutual information and tightening generalization bounds

Asadi, A. R., Abbe, E. A. & Verdú, S., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 7234-7243 10 p.

Princeton University

Research output: Contribution to journalConference article

Learning algorithms
Set theory
Deep learning

Communication-computation efficient gradient coding

Ye, M. & Abbe, E. A., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), Vol. 12. p. 9716p

Princeton University

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

Set theory
20 Citations (Scopus)
Community Detection
Phase Transition
Phase transitions
1 Citation (Scopus)

Estimation in the Group Action Channel

Abbe, E. A., Pereira, J. M. & Singer, A., Aug 15 2018, 2018 IEEE International Symposium on Information Theory, ISIT 2018. Institute of Electrical and Electronics Engineers Inc., p. 561-565 5 p. 8437646. (IEEE International Symposium on Information Theory - Proceedings; vol. 2018-June).

Princeton University

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

Group Action
Mean square error
Electron microscopy
Maximum likelihood