João M. Pereira

23 papers A* 2A 1B 2Misc 2Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-context principal component analysis.
CoRR
Kexin Wang, Salil Bhate, João M. Pereira, Joe Kileel, Matylda Figlerowicz, Anna Seigal
2025 J jnl
Multi-subspace power method for decomposing all tensors.
CoRR
Kexin Wang, João M. Pereira, Joe Kileel, Anna Seigal
2025 A* conf
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure.
AAAI
Arthur Bizzi, Lucas Nissenbaum, João M. Pereira
2025 J jnl
Neuro-Spectral Architectures for Causal Physics-Informed Networks.
CoRR
Arthur Bizzi, Leonardo M. Moreira, Márcio Marques, Leonardo Mendonça, Christian Júnior de Oliveira, Vitor Balestro, Lucas dos Santos Fernandez, Daniel Yukimura, Pavel Petrov, João M. Pereira, Tiago Novello, Lucas Nissenbaum
2024 J jnl
A Search-Free \({O(1/{k}^{3/2})}\) Homotopy Inexact Proximal-Newton Extragradient Algorithm for Monotone Variational Inequalities.
SIAM J. Optim.
Maicon Marques Alves, João M. Pereira, Benar Fux Svaiter
2024 J jnl
Neural Conjugate Flows: Physics-informed architectures with flow structure.
CoRR
Arthur Bizzi, Lucas Nissenbaum, João M. Pereira
2022 J jnl
Identifying Latent Stochastic Differential Equations.
IEEE Trans. Signal Process.
Ali Hasan, João M. Pereira, Sina Farsiu, Vahid Tarokh
2022 A conf
Modeling extremes with d-max-decreasing neural networks.
UAI
Ali Hasan, Khalil Elkhalil, Yuting Ng, João M. Pereira, Sina Farsiu, Jose H. Blanchet, Vahid Tarokh
2022 J jnl
Tensor Moments of Gaussian Mixture Models: Theory and Applications.
CoRR
João M. Pereira, Joe Kileel, Tamara G. Kolda
2021 J jnl
Deep Extreme Value Copulas for Estimation and Sampling.
CoRR
Ali Hasan, Khalil Elkhalil, João M. Pereira, Sina Farsiu, Jose H. Blanchet, Vahid Tarokh
2021 A* conf
Landscape analysis of an improved power method for tensor decomposition.
NeurIPS
Joe Kileel, Timo Klock, João M. Pereira
2021 J jnl
Landscape analysis of an improved power method for tensor decomposition.
CoRR
Joe Kileel, Timo Klock, João M. Pereira
2020 Misc conf
Learning Partial Differential Equations From Data Using Neural Networks.
ICASSP
Ali Hasan, João M. Pereira, Robert J. Ravier, Sina Farsiu, Vahid Tarokh
2020 J jnl
Learning latent stochastic differential equations with variational auto-encoders.
CoRR
Ali Hasan, João M. Pereira, Sina Farsiu, Vahid Tarokh
2020 Misc conf
Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means.
ICASSP
Yuting Ng, João M. Pereira, Denis Garagic, Vahid Tarokh
2020 J jnl
Robust Marine Buoy Placement for Ship Detection Using Dropout K-Means.
CoRR
Yuting Ng, João M. Pereira, Denis Garagic, Vahid Tarokh
2019 J jnl
Learning Partial Differential Equations from Data Using Neural Networks.
CoRR
Ali Hasan, João M. Pereira, Robert J. Ravier, Sina Farsiu, Vahid Tarokh
2019 J jnl
Multireference Alignment Is Easier With an Aperiodic Translation Distribution.
IEEE Trans. Inf. Theory
Emmanuel Abbe, Tamir Bendory, William E. Leeb, João M. Pereira, Nir Sharon, Amit Singer
2019 J jnl
Subspace power method for symmetric tensor decomposition and generalized PCA.
CoRR
Joe Kileel, João M. Pereira
2018 B conf
Estimation in the Group Action Channel.
ISIT
Emmanuel Abbe, João M. Pereira, Amit Singer
2018 J jnl
Estimation in the group action channel.
CoRR
Emmanuel Abbe, João M. Pereira, Amit Singer
2017 J jnl
Sample Complexity of the Boolean Multireference Alignment Problem.
CoRR
Emmanuel Abbe, João M. Pereira, Amit Singer
2017 B conf
Sample complexity of the boolean multireference alignment problem.
ISIT
Emmanuel Abbe, João M. Pereira, Amit Singer