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	A generalized approach for Boolean matrix factorization Rodrigo Cabral Farias , Sebastian Miron Signal Processing, 2023, 206, pp.108887. ⟨10.1016/j.sigpro.2022.108887⟩ Journal articles hal-03929288v1
	Robust sensor placement for signal extraction Fatemeh Ghayyem , Bertrand Rivet , Rodrigo Cabral Farias , Christian Jutten IEEE Transactions on Signal Processing, 2021, 69, pp.4513-4528. ⟨10.1109/TSP.2021.3099954⟩ Journal articles hal-03325710v3
	Alternating group lasso for block-term tensor decomposition with application to ECG source separation José Henrique de Morais Goulart , Pedro Marinho R. de Oliveira , Rodrigo Cabral Farias , Vicente Zarzoso , Pierre Comon IEEE Transactions on Signal Processing, 2020, 68, pp.2682-2696. ⟨10.1109/TSP.2020.2985591⟩ Journal articles hal-01899469v3
	Wideband multiple diversity tensor array processing Francesca Raimondi , Rodrigo Cabral Farias , Olivier J.J. Michel , Pierre Comon IEEE Transactions on Signal Processing, 2017, 65 (20), pp.5334-5346. ⟨10.1109/TSP.2017.2725219⟩ Journal articles hal-01350549v5
	Exploring multimodal data fusion through joint decompositions with flexible couplings Rodrigo Cabral Farias , Jérémy E Cohen , Pierre Comon IEEE Transactions on Signal Processing, 2016, 64 (18), pp.4830-4844. ⟨10.1109/TSP.2016.2576425⟩ Journal articles hal-01158082v1
	Nonnegative tensor CP decomposition of hyperspectral data Miguel Angel Veganzones , Jérémy E Cohen , Rodrigo Cabral Farias , Jocelyn Chanussot , Pierre Comon IEEE Transactions on Geoscience and Remote Sensing, 2016, 54 (5), pp.2577-2588. ⟨10.1109/TGRS.2015.2503737⟩ Journal articles hal-01134470v2
	Fast Decomposition of Large Nonnegative Tensors Jérémy E Cohen , Rodrigo Cabral Farias , Pierre Comon IEEE Signal Processing Letters, 2015, 22 (7), pp.862-866. ⟨10.1109/LSP.2014.2374838⟩ Journal articles hal-01069069v1
	Scalar Quantization for Estimation: From An Asymptotic Design to a Practical Solution Rodrigo Cabral Farias , Jean-Marc Brossier IEEE Transactions on Signal Processing, 2014, 62 (11), pp.2860-2870. ⟨10.1109/TSP.2014.2318140⟩ Journal articles hal-00877212v1
	Optimal Asymmetric Binary Quantization for Estimation Under Symmetrically Distributed Noise Rodrigo Cabral Farias , Eric Moisan , Jean-Marc Brossier IEEE Signal Processing Letters, 2014, 21 (5), pp.523-526. ⟨10.1109/LSP.2014.2308419⟩ Journal articles hal-00877213v1
	Adaptive Quantizers for Estimation Rodrigo Cabral Farias , Jean-Marc Brossier Signal Processing, 2013, 93 (11), pp.3076-3087. ⟨10.1016/j.sigpro.2013.04.012⟩ Journal articles hal-00875925v1

	Projected hierarchical ALS for generalized Boolean matrix factorization Rodrigo Cabral Farias , Sebastian Miron International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023, Jun 2023, Rhodes Island, Greece. ⟨10.1109/ICASSP49357.2023.10094568⟩ Conference papers hal-04301894v1
	Une approche générique pour la factorisation booléenne de matrices binaires Rodrigo Cabral Farias , Sebastian Miron XXVIIIème Colloque Francophone de Traitement du Signal et des Images, GRETSI 2022, Sep 2022, Nancy, France Conference papers hal-03921063v1
	Gradient-Based Algorithm with Spatial Regularization for Optimal Sensor Placement Fatemeh Ghayyem , Bertrand Rivet , Christian Jutten , Rodrigo Cabral Farias ICASSP 2020 - IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, May 2020, Barcelone (virtual), Spain. pp.5655-5659, ⟨10.1109/ICASSP40776.2020.9054510⟩ Conference papers hal-03078476v1
	Benchmarking Alternative Floating-Point Formats for Deep Learning Inference Diana Resmerita , Rodrigo Cabral Farias , Benoît Dupont de Dinechin , Lionel Fillatre COMPAS, 2020, Lyon, France Conference papers hal-03625485v1
	Compression des réseaux de neurones profonds à base de quantification uniforme et non-uniforme Diana Resmerita , Rodrigo Cabral Farias , Benoît Dupont de Dinechin , Lionel Fillatre Orasis 2019, May 2019, Saint-Dié-des-Vosges, France Conference papers hal-02906786v1
	Compression des réseaux de neurones profonds à base de quantification uniforme et non-uniforme Diana Resmerita , Rodrigo Cabral Farias , Benoît Dupont de Dinechin , Lionel Fillatre Colloque GRETSI, Aug 2019, Lille, France Conference papers hal-02906788v1
	Coherence Constrained Alternating Least Squares Rodrigo Cabral Farias , José Henrique de Morais Goulart , Pierre Comon EUSIPCO 2018 - 26th European Signal Processing Conference, Sep 2018, Rome, Italy. ⟨10.23919/EUSIPCO.2018.8553084⟩ Conference papers hal-01693946v2
	Curve Registered Coupled Low Rank Factorization Jérémy E Cohen , Rodrigo Cabral Farias , Bertrand Rivet LVA/ICA 2018 - 14th International Conference on Latent Variable Analysis and Signal Separation, Jul 2018, Guildford, United Kingdom Conference papers hal-01710498v1
	Performances optimales pour les données multimodales partiellement couplées Chengfang Ren , Rodrigo Cabral Farias , Pierre-Olivier Amblard , Pierre Comon GRETSI 2017 - XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France Conference papers hal-01567124v1
	Joint Tensor Compression for Coupled Canonical Polyadic Decompositions Jérémy E Cohen , Rodrigo Cabral Farias , Pierre Comon EUSIPCO 2016 - 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary Conference papers hal-01326132v1
	Nonnegative CP decomposition of multiangle hyperspectral data: a case study on CRISM observations of martian icy surface Miguel Angel Veganzones , Sylvain Douté , Jérémy E Cohen , Rodrigo Cabral Farias , Jocelyn Chanussot WHISPERS 2016 - 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Aug 2016, Los Angeles, CA, United States Conference papers hal-01382360v1
	Canonical polyadic decomposition of hyperspectral patch tensors Miguel Angel Veganzones , Jérémy E Cohen , Rodrigo Cabral Farias , Konstantin Usevich , Lucas Drumetz EUSIPCO 2016 - 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.2176-2180, ⟨10.1109/EUSIPCO.2016.7760634⟩ Conference papers hal-01382362v1
	Multilinear spectral unmixing of hyperspectral multiangle images Miguel Angel Veganzones , Jérémy E Cohen , Rodrigo Cabral Farias , Ruben Marrero , Jocelyn Chanussot EUSIPCO 2015 - 23th European Signal Processing Conference, IEEE Signal Processing Society, Aug 2015, Nice, France. pp.749-753 Conference papers hal-01158900v1
	Analyse de grandes données tensorielles couplées Jérémy E Cohen , Rodrigo Cabral Farias , Pierre Comon GRETSI 2015 - XXVème Colloque francophone de traitement du signal et des images, Sep 2015, Lyon, France Conference papers hal-01135090v1
	Canonical Polyadic Tensor Decomposition in the Presence of Non Gaussian Noise Rodrigo Cabral Farias , Pierre Comon EUSIPCO 2015 - 23th European Signal Processing Conference, EURASIP, Aug 2015, Nice, France Conference papers hal-01119833v1
	Joint decompositions with flexible couplings Rodrigo Cabral Farias , Jérémy E Cohen , Christian Jutten , Pierre Comon LVA/ICA 2015 - 12th International Conference on Latent Variable Analysis and Signal Separation, Aug 2015, Liberec, Czech Republic. ⟨10.1007/978-3-319-22482-414⟩ Conference papers hal-01135920v2
	Data Mining by NonNegative Tensor Approximation Rodrigo Cabral Farias , Pierre Comon , Roland Redon MLSP 2014 - IEEE 24th International Workshop on Machine Learning for Signal Processing, Sep 2014, Reims, France Conference papers hal-01077801v1
	Adjustable Quantizers for Joint Estimation of Location and Scale Parameters Rodrigo Cabral Farias , Jean-Marc Brossier ICASSP 2013 - 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.SPTM-P13.7 Conference papers hal-00875935v1
	Asymptotic Approximation of Optimal Quantizers for Estimation Rodrigo Cabral Farias , Jean-Marc Brossier ICASSP 2013 - 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.SPTM-P13.8 Conference papers hal-00875978v1
	Quantification asymétrique optimale pour l'estimation d'un paramètre de centrage dans un bruit de loi symétrique Rodrigo Cabral Farias , Jean-Marc Brossier GRETSI 2013 - XXIVème Colloque francophone de traitement du signal et des images, Sep 2013, Brest, France. pp.ID249 Conference papers hal-00875990v1
	Adaptive Estimation Based on Quantized Measurements Rodrigo Cabral Farias , Jean-Marc Brossier ICC 2013 - IEEE International Conference on Communications, Jun 2013, Budapest, Hungary. pp.CT-04/5 Conference papers hal-00875981v1
	Hypothesis testing by using quantized observations Diana Resmerita , Rodrigo Cabral Farias , Benoît Dupont de Dinechin , Lionel Fillatre 2011 IEEE Statistical Signal Processing Workshop (SSP), Jun 2011, Nice, France. pp.501-504, ⟨10.1109/SSP.2011.5967743⟩ Conference papers hal-03624147v1

	Incremental construction of nested designs based on two-level fractional factorial designs Rodrigo Cabral Farias , Luc Pronzato , Maria-João Rendas J. Pilz, V.B. Melas, A. Bathke. Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications, Springer, pp.77-110, 2023, 978-3-031-40054-4. ⟨10.1007/978-3-031-40055-1_5⟩ Book sections hal-02483004v1
	Adaptive design criteria motivated by a plug-in percentile estimator Rodrigo Cabral Farias , Luc Pronzato , Maria-João Rendas J. Pilz, V.B. Melas, A. Bathke. Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications, Springer, pp.141-177, 2023, 978-3-031-40054-4. ⟨10.1007/978-3-031-40055-1_8⟩ Book sections hal-02483076v1

	Performance bounds for coupled models Chengfang Ren , Rodrigo Cabral Farias , Pierre-Olivier Amblard , Pierre Comon [Research Report] GIPSA-lab. 2016 Reports hal-01280480v1
	A Fusion Center Approach for Estimation Using Quantized Measurements Rodrigo Cabral Farias , Jean-Marc Brossier [Research Report] GIPSA-lab. 2012 Reports hal-01232162v1

	Estimation sous contraintes de communication : algorithmes et performances asymptotiques Rodrigo Cabral Farias Autre. Université de Grenoble, 2013. Français. ⟨NNT : 2013GRENT024⟩ Theses tel-00877073v2

Rodrigo Cabral Farias

Publications

A generalized approach for Boolean matrix factorization

Robust sensor placement for signal extraction

Alternating group lasso for block-term tensor decomposition with application to ECG source separation

Wideband multiple diversity tensor array processing

Exploring multimodal data fusion through joint decompositions with flexible couplings

Nonnegative tensor CP decomposition of hyperspectral data

Fast Decomposition of Large Nonnegative Tensors

Scalar Quantization for Estimation: From An Asymptotic Design to a Practical Solution

Optimal Asymmetric Binary Quantization for Estimation Under Symmetrically Distributed Noise

Adaptive Quantizers for Estimation

Projected hierarchical ALS for generalized Boolean matrix factorization

Une approche générique pour la factorisation booléenne de matrices binaires

Gradient-Based Algorithm with Spatial Regularization for Optimal Sensor Placement

Benchmarking Alternative Floating-Point Formats for Deep Learning Inference

Compression des réseaux de neurones profonds à base de quantification uniforme et non-uniforme

Compression des réseaux de neurones profonds à base de quantification uniforme et non-uniforme

Coherence Constrained Alternating Least Squares

Curve Registered Coupled Low Rank Factorization

Performances optimales pour les données multimodales partiellement couplées

Joint Tensor Compression for Coupled Canonical Polyadic Decompositions

Nonnegative CP decomposition of multiangle hyperspectral data: a case study on CRISM observations of martian icy surface

Canonical polyadic decomposition of hyperspectral patch tensors

Multilinear spectral unmixing of hyperspectral multiangle images

Analyse de grandes données tensorielles couplées

Canonical Polyadic Tensor Decomposition in the Presence of Non Gaussian Noise

Joint decompositions with flexible couplings

Data Mining by NonNegative Tensor Approximation

Adjustable Quantizers for Joint Estimation of Location and Scale Parameters

Asymptotic Approximation of Optimal Quantizers for Estimation

Quantification asymétrique optimale pour l'estimation d'un paramètre de centrage dans un bruit de loi symétrique

Adaptive Estimation Based on Quantized Measurements

Hypothesis testing by using quantized observations

Incremental construction of nested designs based on two-level fractional factorial designs

Adaptive design criteria motivated by a plug-in percentile estimator

Performance bounds for coupled models

A Fusion Center Approach for Estimation Using Quantized Measurements

Estimation sous contraintes de communication : algorithmes et performances asymptotiques