Publications

Conference publications

What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics
Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez, Valero Laparra, Jesus Malo
DAFX: Digital Audio Effects Conference (2023)

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On the relation between statistical learning and perceptual distances
Alexander Hepburn, Valero Laparra, Raul Santos-Rodriguez, Johannes Balle, Jesus Malo
ICLR: International Conference on Learning Representations (2022)

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Orthonormal Convolutions for the Rotation Based Iterative Gaussianization
V Laparra, A Hepburn, JE Johnson, J Malo
ICIP: IEEE International Conference on Image Processing (2022)

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Synthetic Generation of Cardiac MR Images Combining Convolutional Variational Autoencoders and Style Transfer
Jose Manuel Jaen-Lorites, Manuel Perez-Pelegri, Valero Laparra, Maria Pilar Lopez-Lereu, Jose Vicente Monmeneu, Alicia M Maceira, David Moratal
EMBC: Annual International Conference of the IEEE Engineering in Medicine & Biology Society (2022)

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Hyperspectral remote sensing data compression with neural networks
Sebastia Mijares Verdu, Johannes Balle, Valero Laparra, Joan Bartrina Rapesta, Miguel Hernandez-Cabronero and Joan Serra-Sagrista
DCC: IEEE Data Compression Conference (2022)

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Computing variations of entropy and redundancy under nonlinear mappings not preserving the signal dimension: quantifying the efficiency of V1 cortex
Qiang Li, Emmanuel Johnson, Jose Juan Esteve-Taboada, Valero Laparra, Jesus Malo
Entropy 2021: The Scientific Tool of the 21st Century (2021)

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Gaussianization for Multivariate, High-dimensional Earth Observation data Analysis
J Emmanuel Johnson, Maria Piles, Valero Laparra, Gustau Camps-Valls
EGU: General Assembly Conference Abstracts (2021)

Perceptnet: A human visual system inspired neural network for estimating perceptual distance.
A Hepburn, V Laparra, J Malo, R McConville, R Santos-Rodriguez
ICIP: IEEE International Conference on Image Processing (2020)

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Python code

The pigment antenna constraining the light reactions: photosynthetic energy redistribution indicated by leaf absorbance changes
Shari Van Wittenberghe, Valero Laparra, Nacho Ignacio Garcia, Luis Alonso, Beatriz Fernandez Marin, Zbynek Malenovsky, Albert Porcar-Castell, Jose Moreno
EGU: General Assembly Conference Abstracts (2020)

Gaussianization of Earth Observation data - Invertible Transformations for Multidimensional Data Analysis .
J. Emmanuel Johnson, Maria Piles, Valero Laparra and Gustau Camps-Valls
AGU (2020)

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Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance
Alexander Hepburn, Valero Laparra, Ryan McConville, Raul Santos-Rodriguez
NLDL: Proceedings of the Northern Lights Deep Learning (2020)

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Domain Adaptation of Landsat-8 and Proba-V data using Generative Adversarial Networks for Cloud Detection.
G. Mateo-García, V. Laparra and L. Gómez-Chova
IGARSS 2019: IEEE International Geoscience and Remote Sensing Symposium (2019)

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Climate Model Intercomparison with Multivariate Information Theoretic Measures.
J. Emmanuel Johnson, Valero Laparra, Peer Johannes Nowack, Jakob Runge, Gustau Camps-Valls
AGU Fall Meeting: American Geophysical Union (2019)

Multivariate Gaussianization in Earth and Climate Sciences .
Juan E. Johnson, Maria Piles, Valero Laparra, Gustau Camps-Valls
Climate Informatics (2019)

Information Theory in Density Destructors.
Johnson, E. and Laparra, V. and Santos, R. and Camps-Valls, G. and Malo, J.
ICML 2019: International Conference on Machine Learning - Workshop Invertible Neural Nets and Normalising Flows (INNF), 2019 (2019)

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Learning New Ways to Predict Agricultural Drought from Optical and Microwave Satellites .
Piles, M. and Laparra, V. and Padrón, J. A. and Bueso, D. and Sánchez, N. and González-Zamora, Á. and Martínez-Fernández, J. and Camps-Valls G.
LPS 2019: Living Planet Symposium. (2019)

Causal inference in Geosciences with multidimensional kernel deviance measures.
Emiliano Diaz Salas Porras, Adrian Perez Suay, Valero Laparra, and Gustau Camps Valls
EGU 2019: Geophysical Research Abstracts. (2019)

Convergent cross-mapping for causal Inference in carbon and water fluxes processe.
Álvaro Moreno Martínez, Emiliano Díaz, Adrian Pérez Suay, Jose Adsuara, Valero Laparra, María Piles, Jordi Muñoz Marí, Steven W Running, and Gustau Camps Valls
EGU 2019: Geophysical Research Abstracts. (2019)

Physics-aware And Explainable Machine Learning.
Gustau Camps Valls, Luis Gomez-Chova, Daniel Svendsen, Diego Bueso, Luca Martino, Adrian Perez, Maria Piles, Valero Laparra, Ana Ruescas
Phi week 2018: The Phi-week - EO Open Science and Future EO. (2018)

Statistical Distillation of the Earth System Data Cube.
Gustau Camps Valls, Juan Johnson, Valero Laparra, Diego Bueso, Gunnar Brandt, Norman Fomferra, Hans Permana and Miguel Mahecha
Phi week 2018: The Phi-week - EO Open Science and Future EO. (2018)

Optimizing Kernel Ridge Regression for Remote Sensing Problems .
Gonzalo Mateo-Garcia and Valero Laparra and Luis Gomez-Chova
IGARSS2018: IEEE International Geoscience and Remote Sensing Symposium. (2018)

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Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval.
David Malmgren-Hansen and Valero Laparra and Allan Aasbjerg Nielsen and Gustau Camps-Valls
IGARSS2018: IEEE International Geoscience and Remote Sensing Symposium. (2018)

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Disentangling Derivatives, Uncertainty and Error in Statistical Models.
Juan Emmanuel Johnson and Valero Laparra and Gustau Camps-Valls
IGARSS2018: IEEE International Geoscience and Remote Sensing Symposium. (2018)

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Generation of Global Vegetation Products from Eumetsat AVHRR/MetOp Satellites.
Francisco Javier Garcia-Haro and Manuel Campos-Taberner and Beatriz Martinez and Sergio Sanchez-Ruiz and Maria Amparo Gilabert and Gustau Camps-Valls and Jordi Munoz-Mari and Valero Laparra and Fernando Camacho and Jorge Sanchez-Zapero and Beatriz Fuster
IGARSS2018: IEEE International Geoscience and Remote Sensing Symposium. (2018)

Consistent Regression of Biophysical Parameters with Kernel Methods.
Emiliano Diaz and Adrian Perez-Suay and Valero Laparra and Gustau Camps-Valls
IGARSS2018: IEEE International Geoscience and Remote Sensing Symposium. (2018)

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Estimating Information in Earth Data Cubes.
J.E. Johnson and E. Diaz and Valero Laparra and M. Mahecha and D. Miralles and G. Camps-Valls
EGU2018: European Geophysical Union. Geophysical Research Abstracts, Vol. 20 (2018)

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Large Scale Gaussian Processes for Atmospheric Parameter Retrieval and Cloud Screening.
Gustau Camps-Valls, Luis Gomez-Chova, Gonzalo Mateo, Valero Laparra, Adrian Perez-Suay and Jordi Munoz-Mari
AGU2017: American Geophysical Union. (2017)

Eigen-Distortions of Hierarchical Representations.
Alexander Berardino, Johannes Balle, Valero Laparra, Eero P. Simoncelli
NIPS2017: Neural Information Processing Systems. (2017)

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Fair Kernel Learning.
A. Perez-Suay, V. Laparra, G. Mateo-Garcia, J. Munoz-Mari, L. Gomez-Chova, and G. Camps-Valls
ECML2017: European Conference of Machine Learning. (2017)

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Probabilistic Cross-Validation Estimators for Gaussian Process Regression.
L. Martino, V. Laparra, G. Camps-Valls
EUSIPCO2017: European Signal Processing Conference, Kos island, Greece. (2017)

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Statistical Retrieval of Temperature and Moisture Atmospheric Profiles Benefits from Spatial-Spectral Image Compression
Joaquín García-Sobrino, Joan Serra-Sagristà, Valero Laparra, Xavier Calbet and Gustau Camps-Valls
EUMETSAT2017: 2017 EUMETSAT Meteorological Satellite Conference, Rome, Italy. (2017)

Temperature Retrieval with Spatial Noise-aware dimensionality reduction
David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Xavier Calbet and Gustau Camps-Valls
EUMETSAT2017: 2017 EUMETSAT Meteorological Satellite Conference, Rome, Italy. (2017)

Nonlinear statistical retrieval of land surface emissivity from infrared sounding data
Valero Laparra, Jordi Munoz-Mari, Luis Gomez, Xavier Calbet, and Gustau Camps-Valls
EUMETSAT2017: 2017 EUMETSAT Meteorological Satellite Conference, Rome, Italy. (2017)

Fast Cloud Detection over Landmarks in MSG/SEVIRI Image Time Series
Adrian Perez-Suay, Julia Amoros-Lopez, Luis Gomez-Chova, Valero Laparra, Jordi Munoz-Mari, and Dieter Just, Gustau Camps-Valls
EUMETSAT2017: 2017 EUMETSAT Meteorological Satellite Conference, Rome, Italy. (2017)

Physics-Aware Gaussian Processes for Earth Observation
Gustau Camps-Valls, Daniel Svendsen, Luca Martino, Jordi Munoz-Mari, Valero Laparra, Manuel Campos-Taberner and David Luengo
SCIA2017: Scandinavian Conference on Image Analysis, Tromso, Norway. (2017)

Spatial Noise-aware Temperature Retrieval from Infrared Sounder Data.
D. Malmgren-Hansen, V. Laparra, A. Aasbjerg Nielsen and G. Camps-Valls
IGARSS2017: IEEE International Geoscience and Remote Sensing Symposium, Fort Worth, Texas, USA. (2017)

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Nonlinear Statistical Retrieval of Surface Emissivity from IASI Data.
V. Laparra, J. Muñoz-Marí, L. Gómez-Chova, X. Calbet and G. Camps-Valls
IGARSS2017: IEEE International Geoscience and Remote Sensing Symposium, Fort Worth, Texas, USA. (2017)

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End-to-end optimized image compression.
J. Ballé, V. Laparra, and E.P. Simoncelli.
ICLR2017: Int'l. Conf. on Learning Representations. (2017)

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Matlab code

Visibility of eigen-distortions of hierarchical models.
A Berardino, V. Laparra, J. Ballé, and E.P. Simoncelli.
CoSyNe: Computational and Systems Neuroscience. (2017)

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Predicting perceptual distortion sensitivity with gain control models of LGN.
A Berardino, V Laparra, J Ballé, and EP Simoncelli.
VSS: Annual Meeting, Vision Sciences Society, vol.17, (2017)

Perceptual and engineering implications of cascaded gain control models (Invited).
EP Simoncelli, V Laparra, J Ballé, and A Berardino.
HVEI: SPIE, Conf. on Human Vision and Electronic Imaging, XXII, (2017)

End-to-end optimization of nonlinear transform codes for perceptual quality.
J. Ballé, V. Laparra, and E.P. Simoncelli.
PCS: Pciture Coding Symposium, (2016)

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Density Modeling of Images using a Generalized Normalization Transformation.
J. Ballé, V. Laparra, and E.P. Simoncelli.
SIAM: Conference on Imaging Science, (2016)

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Tensorflow code

PyTorch code (by Alex Hepburn)

Density Modeling of Images using a Generalized Normalization Transformation.
J. Ballé, V. Laparra, and E.P. Simoncelli.
ICLR: International Conference on Learning Representations, (2016)

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Tensorflow code

PyTorch code (by Alex Hepburn)

Perceptual distortion measured with a gain control model of LGN response.
A Berardino, V Laparra, J Ballé and E. P. Simoncelli.
Cosyne: Computational and Systems Neuroscience, (2016)

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Perceptual image quality assessment using a normalized Laplacian pyramid.
V Laparra, J Ballé, A Berardino and EP Simoncelli.
HVEI: SPIE, Conf. on Human Vision and Electronic Imaging, XXI, (2016)

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Matlab code

PyTorch code (by Alex Hepburn)

Spatial/spectral information trade-off in hyperspectral images.
V. Laparra, & R. Santos-Rodríguez
IGARSS: International Geoscience and Remote Sensing Symposium, (2015)

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Large-scale random features for kernel regression.
V. Laparra, D. Marcos-Gonzalez, D. Tuia & G. Camps-Valls
IGARSS: International Geoscience and Remote Sensing Symposium, (2015)

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V. Laparra, J. Malo, G. Camps-Valls, & R. Santos-Rodríguez
Kullback-Leibler Divergence Estimation Based on Iterative Gaussianization
EEE-EURASIP: Spain Seminar on Signal Processing, Communication and Information Theory (2014)

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V. Laparra, J. Malo, & G. Camps-Valls
Dimensionality Reduction via Regression on Hyperspectral Infrared Sounding Data
WHISPERS: Workshop on hyperspectral Image and Signal Processing, (2014)

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J. Garcia-Sobrino, V. Laparra, G. Camps-Valls, & J. Serra-Sagistrà
Impact of near-lossless compression of IASI L1C data on statistical retrieval of atmospheric profiles
OBPDC: Int. Workshop On-Board Payload Data Compression, (2014)

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N. Amrani, V. Laparra, G. Camps-Valls, J. Serra-Sagistrà & J. Malo
Lossless coding of hyperspectral images with Principal Polynomial Analysis
ICIP: Int. Conf. Image Processing, (2014)

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G.Camps-Valls, V. Laparra, J. Muñoz, L. Gómez, X. Calbet, T. Hultberg & T. August
Advances in Non-linear Retrievals for IASI and MTG-IRS Hyperspectral Infrared Sounders
EUMETSAT: Meteorological Satellite Conference, (2014)

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V. Talens, V. Laparra, J. Malo & G. Camps-Valls
Kernel Structural Similarity on Hyperspectral Images
IGARSS: International Geoscience and Remote Sensing Symposium, (2013)

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S. Jiménez, X. Otazu, V. Laparra & J. Malo
Chromatic induction and contrast masking: similar models, different goals?
HVIE: Human Vision and Electronic Imaging XVIII, (2013)

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Poster

S. Jiménez, V. Laparra & J. Malo
Visual discrimination and adaptation using non-linear unsupervised learning
HVIE: Human Vision and Electronic Imaging XVIII, (2013)

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Poster

V. Laparra, D. Tuia, S. Jiménez, G. Camps-Valls & J. Malo
Nonlinear data description with Principal Polynomial Analysis
MLSP: IEEE Workshop on Machine Learning for Signal Processing, (2012)

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E. Izquierdo-Verdiguier, V. Laparra, L. Gómez-Chova, G. Camps-Valls
Including invariances in SVM remote sensing image classification
IGARSS: IEEE International Geoscience and Remote Sensing Symposium (2012)

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G. Camps-Valls, Laparra, Gomez-Chova, J. Munoz-Marí, X. Calbet
Kernel-based retrieval of atmospheric profiles fromv IASI data
IGARSS: IEEE International Geoscience and Remote Sensing Symposium (2011)

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V. Laparra, D. Tuia, S. Jiménez, G. Camps-Valls, & J. Malo
Principal plynomial analysis for remote sensing data processing
IGARSS: IEEE International Geoscience and Remote Sensing Symposium (2011)

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V. Laparra, M. Gutmann, J. Malo, & A. Hyvärinen
Complex-valued independent component analysis of natural images
In International Conference on Artificial Neural Networks. (2011)

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Matlab code

G. Camps-Valls, D. Tuia, V. Laparra,and J. Malo
Estimating Biophysical Variable Dependences with Kernels

IGARSS: IEEE International Geoscience and Remote Sensing Symposium (2010)

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M. Armengot, V. Laparra, L. Gómez, J. Malo and G. Camps-Valls

Adaptive kernel ridge regression for image denosising

MLSP: IEEE Workshop on Machine Learning for signal Processing (2010)

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V. Laparra, G. Camps-Valls and J. Malo
PCA Gaussianization for Image Processing

ICIP: IEEE International Conference on Image Processing (2009)

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V. Laparra, J. Muñoz-Marí, G. Camps-Valls and J. Malo

PCA Gaussianization for One-Class Remote Sensing Image Classification

SPIE: Europe Remote Sensing (2009)

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J. Malo and V. Laparra

Nice Statistical Properties of V1 Cortex ImageRepresentation

NOLISP: An isca tutorial and research workshop on non-linear speech processing (2009)

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V. Laparra, J. Gutiérrez, G. Camps and J. Malo

Recovering Wavelet Relations Using SVM for Image Denoising

ICIP: IEEE International Conference on Image Processing (2008)

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Poster

Matlab code

V. Laparra and J. Malo
Masking-like Non-Linearities from Non-linear PCA
GRC: Sensory Coding and The Natural Environment (2008)

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Poster

V. Laparra and J. Malo
Color and Luminance Discrimination by Non-Linear PCA (My First Poster)
CVN: Computational Vision and Neuroscience symposium (2008)

Poster