Adjustable quantizers for joint estimation of location and scale parameters. - Rodrigo Cabral Farias; Jean-Marc Brossier (ICASSP, 2013)

Asymptotic approximation of optimal quantizers for estimation. - Rodrigo Cabral Farias; Jean-Marc Brossier (ICASSP, 2013)

Adaptive estimation based on quantized measurements. - Rodrigo Cabral Farias; Jean-Marc Brossier (ICC, 2013)

Optimal Scalar Quantization for Parameter Estimation. - Rodrigo Cabral Farias; Jean-Marc Brossier (CoRR, 2013)

Adaptive quantizers for estimation. - Rodrigo Cabral Farias; Jean-Marc Brossier (Signal Process., 2013)

Data mining by nonnegative tensor approximation. - Rodrigo Cabral Farias; Pierre Comon; Roland Redon (MLSP, 2014)

Optimal Asymmetric Binary Quantization for Estimation Under Symmetrically Distributed Noise. - Rodrigo Cabral Farias; Eric Moisan; Jean-Marc Brossier (IEEE Signal Process. Lett., 2014)

Scalar Quantization for Estimation: From An Asymptotic Design to a Practical Solution. - Rodrigo Cabral Farias; Jean-Marc Brossier (IEEE Trans. Signal Process., 2014)

Canonical polyadic tensor decomposition in the presence of non Gaussian noise. - Rodrigo Cabral Farias; Pierre Comon (EUSIPCO, 2015)

Joint Decompositions with Flexible Couplings. - Rodrigo Cabral Farias; Jeremy Emile Cohen; Christian Jutten; Pierre Comon (LVA/ICA, 2015)

Fast Decomposition of Large Nonnegative Tensors. - Jeremy E. Cohen; Rodrigo Cabral Farias; Pierre Comon (IEEE Signal Process. Lett., 2015)

Joint tensor compression for coupled canonical polyadic decompositions. - Jeremy Emile Cohen; Rodrigo Cabral Farias; Pierre Comon (EUSIPCO, 2016)

Canonical polyadic decomposition of hyperspectral patch tensors. - Miguel Angel Veganzones; Jeremy E. Cohen; Rodrigo Cabral Farias; Konstantin Usevich; Lucas Drumetz; Jocelyn Chanussot; Pierre Comon (EUSIPCO, 2016)

Performance bounds for coupled models. - Chengfang Ren; Rodrigo Cabral Farias; Pierre-Olivier Amblard; Pierre Comon (SAM, 2016)

Nonnegative Tensor CP Decomposition of Hyperspectral Data. - Miguel Angel Veganzones; Jeremy E. Cohen; Rodrigo Cabral Farias; Jocelyn Chanussot; Pierre Comon (IEEE Trans. Geosci. Remote. Sens., 2016)

Exploring Multimodal Data Fusion Through Joint Decompositions with Flexible Couplings. - Rodrigo Cabral Farias; Jeremy Emile Cohen; Pierre Comon (IEEE Trans. Signal Process., 2016)

Wideband Multiple Diversity Tensor Array Processing. - Francesca Raimondi; Rodrigo Cabral Farias; Olivier J. J. Michel; Pierre Comon (IEEE Trans. Signal Process., 2017)

Coherence Constrained Alternating Least Squares. - Rodrigo Cabral Farias; José Henrique de Morais Goulart; Pierre Comon (EUSIPCO, 2018)

Curve Registered Coupled Low Rank Factorization. - Jeremy Emile Cohen; Rodrigo Cabral Farias; Bertrand Rivet (LVA/ICA, 2018)

Optimal Sensor Placement for Signal Extraction. - Fateme Ghayem; Bertrand Rivet; Christian Jutten; Rodrigo Cabral Farias (ICASSP, 2019)

Gradient-Based Algorithm with Spatial Regularization for Optimal Sensor Placement. - Fateme Ghayem; Bertrand Rivet; Christian Jutten; Rodrigo Cabral Farias (ICASSP, 2020)

Alternating Group Lasso for Block-Term Tensor Decomposition and Application to ECG Source Separation. - José Henrique de Morais Goulart; Pedro Marinho R. de Oliveira; Rodrigo Cabral Farias; Vicente Zarzoso; Pierre Comon (IEEE Trans. Signal Process., 2020)

Classification Error Approximation of a Compressed Linear Softmax Layer. - Diana Resmerita; Rodrigo Cabral Farias; Lionel Fillatre (EUSIPCO, 2021)

Distortion Approximation of a Compressed Softmax Layer. - Diana Resmerita; Rodrigo Cabral Farias; Benoît Dupont de Dinechin; Lionel Fillatre (SSP, 2021)

Robust Sensor Placement for Signal Extraction. - Fateme Ghayem; Bertrand Rivet; Rodrigo Cabral Farias; Christian Jutten (IEEE Trans. Signal Process., 2021)

Projected Hierarchical ALS for Generalized Boolean Matrix Factorization. - Rodrigo Cabral Farias; Sebastian Miron (ICASSP, 2023)

A generalized approach for Boolean matrix factorization. - Rodrigo Cabral Farias; Sebastian Miron (Signal Process., 2023)