João M. Pereira

Orcid: 0000-0003-3773-7623

Affiliations:
  • Duke University, Durham, NC, USA
  • Princeton University, The Program in Applied and Computational Mathematics, NJ, USA (former)


According to our database1, João M. Pereira authored at least 12 papers between 2017 and 2022.

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Bibliography

2022
Identifying Latent Stochastic Differential Equations.
IEEE Trans. Signal Process., 2022

Tensor Moments of Gaussian Mixture Models: Theory and Applications.
CoRR, 2022

Modeling extremes with d-max-decreasing neural networks.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
Deep Extreme Value Copulas for Estimation and Sampling.
CoRR, 2021

Landscape analysis of an improved power method for tensor decomposition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Learning latent stochastic differential equations with variational auto-encoders.
CoRR, 2020

Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning Partial Differential Equations From Data Using Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Multireference Alignment Is Easier With an Aperiodic Translation Distribution.
IEEE Trans. Inf. Theory, 2019

Subspace power method for symmetric tensor decomposition and generalized PCA.
CoRR, 2019

2018
Estimation in the Group Action Channel.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
Sample complexity of the boolean multireference alignment problem.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017


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