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ORCIDJoão M. Pereira 0002
Person information
- affiliation: Duke University, Durham, NC, USA
- affiliation (former): Princeton University, The Program in Applied and Computational Mathematics, NJ, USA
Other persons with the same name
- João Pereira 0001
![[0000-0002-8120-7649]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8120-7649")
(aka: João M. Pereira 0001, João Madeiras Pereira) — University of Lisbon, IST-UTL/INESC-ID, Portugal
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2020 – today
- 2022
[j2]Ali Hasan, João M. Pereira, Sina Farsiu, Vahid Tarokh:
Identifying Latent Stochastic Differential Equations. IEEE Trans. Signal Process. 70: 89-104 (2022)- [c6]Ali Hasan, Khalil Elkhalil, Yuting Ng, João M. Pereira, Sina Farsiu, Jose H. Blanchet, Vahid Tarokh:
Modeling extremes with d-max-decreasing neural networks. UAI 2022: 759-768 - [i9]João M. Pereira, Joe Kileel, Tamara G. Kolda:
Tensor Moments of Gaussian Mixture Models: Theory and Applications. CoRR abs/2202.06930 (2022) - 2021
- [c5]Joe Kileel, Timo Klock, João M. Pereira:
Landscape analysis of an improved power method for tensor decomposition. NeurIPS 2021: 6253-6265 - [i8]Ali Hasan, Khalil Elkhalil, João M. Pereira, Sina Farsiu, Jose H. Blanchet, Vahid Tarokh:
Deep Extreme Value Copulas for Estimation and Sampling. CoRR abs/2102.09042 (2021) - [i7]Joe Kileel, Timo Klock, João M. Pereira:
Landscape analysis of an improved power method for tensor decomposition. CoRR abs/2110.15821 (2021) - 2020
- [c4]Yuting Ng, João M. Pereira, Denis Garagic, Vahid Tarokh:
Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means. ICASSP 2020: 3757-3761 - [c3]Ali Hasan, João M. Pereira, Robert J. Ravier, Sina Farsiu, Vahid Tarokh:
Learning Partial Differential Equations From Data Using Neural Networks. ICASSP 2020: 3962-3966 - [i6]Yuting Ng, João M. Pereira, Denis Garagic, Vahid Tarokh:
Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means. CoRR abs/2001.00564 (2020) - [i5]Ali Hasan, João M. Pereira, Sina Farsiu, Vahid Tarokh:
Learning latent stochastic differential equations with variational auto-encoders. CoRR abs/2007.06075 (2020)
2010 – 2019
- 2019
- [j1]Emmanuel Abbe, Tamir Bendory, William E. Leeb, João M. Pereira, Nir Sharon, Amit Singer:
Multireference Alignment Is Easier With an Aperiodic Translation Distribution. IEEE Trans. Inf. Theory 65(6): 3565-3584 (2019) - [i4]Ali Hasan, João M. Pereira, Robert J. Ravier, Sina Farsiu, Vahid Tarokh:
Learning Partial Differential Equations from Data Using Neural Networks. CoRR abs/1910.10262 (2019) - [i3]Joe Kileel, João M. Pereira:
Subspace power method for symmetric tensor decomposition and generalized PCA. CoRR abs/1912.04007 (2019) - 2018
- [c2]Emmanuel Abbe, João M. Pereira, Amit Singer:
Estimation in the Group Action Channel. ISIT 2018: 561-565 - [i2]Emmanuel Abbe, João M. Pereira, Amit Singer:
Estimation in the group action channel. CoRR abs/1801.04366 (2018) - 2017
- [c1]Emmanuel Abbe, João M. Pereira, Amit Singer:
Sample complexity of the boolean multireference alignment problem. ISIT 2017: 1316-1320 - [i1]Emmanuel Abbe, João M. Pereira, Amit Singer:
Sample Complexity of the Boolean Multireference Alignment Problem. CoRR abs/1701.07540 (2017)
Coauthor Index
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