Recovering wavelet relations using SVM for image denoising. - Valero Laparra; Jaime Gutierrez 004; Gustavo Camps-Valls; Jesus Malo (ICIP, 2008)

PCA Gaussianization for image processing. - Valero Laparra; Gustavo Camps-Valls; Jesús Malo (ICIP, 2009)

Visual Cortex Performs a Sort of Non-linear ICA. - Jesus Malo; Valero Laparra (NOLISP, 2009)

Estimating biophysical variable dependences with kernels. - Gustavo Camps-Valls; Devis Tuia; Valero Laparra; Jesús Malo (IGARSS, 2010)

Image Denoising with Kernels Based on Natural Image Relations. - Valero Laparra; Jaime Gutierrez 004; Gustavo Camps-Valls; Jesús Malo (J. Mach. Learn. Res., 2010)

Psychophysically Tuned Divisive Normalization Approximately Factorizes the PDF of Natural Images. - Jesús Malo; Valero Laparra (Neural Comput., 2010)

Complex-Valued Independent Component Analysis of Natural Images. - Valero Laparra; Michael Gutmann; Jesús Malo; Aapo Hyvärinen (ICANN (2), 2011)

Kernel-based retrieval of atmospheric profiles from IASI data. - Gustavo Camps-Valls; Valero Laparra; Jordi Muñoz-Marí; Luis Gómez-Chova; Xavier Calbet (IGARSS, 2011)

Principal polynomial analysis for remote sensing data processing. - Valero Laparra; Devis Tuia; Sandra Jiménez; Gustavo Camps-Valls; Jesus Malo (IGARSS, 2011)

Iterative Gaussianization: From ICA to Random Rotations. - Valero Laparra; Gustavo Camps-Valls; Jesus Malo (IEEE Trans. Neural Networks, 2011)

Including invariances in SVM remote sensing image classification. - Emma Izquierdo-Verdiguier; Valero Laparra; Luis Gómez-Chova; Gustavo Camps-Valls (IGARSS, 2012)

Nonlinear data description with Principal Polynomial Analysis. - Valero Laparra; Devis Tuia; Sandra Jiménez; Gustavo Camps-Valls; Jesus Malo (MLSP, 2012)

Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis. - Valero Laparra; Sandra Jiménez; Gustavo Camps-Valls; Jesús Malo (Neural Comput., 2012)

Visual discrimination and adaptation using non-linear unsupervised learning. - Sandra Jiménez; Valero Laparra; Jesús Malo (Human Vision and Electronic Imaging, 2013)

Chromatic induction and contrast masking: similar models, different goals? - Sandra Jiménez; Xavier Otazu; Valero Laparra; Jesús Malo (Human Vision and Electronic Imaging, 2013)

Kernel Structural SIMIlarity on hyperspectral images. - Vicent Talens; Valero Laparra; Jesus Malo; Gustavo Camps-Valls (IGARSS, 2013)

Encoding Invariances in Remote Sensing Image Classification With SVM. - Emma Izquierdo-Verdiguier; Valero Laparra; Luis Gómez-Chova; Gustavo Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2013)

Lossless coding of hyperspectral images with principal polynomial analysis. - Naoufal Amrani; Valero Laparra; Gustavo Camps-Valls; Joan Serra-Sagristà; Jesús Malo (ICIP, 2014)

Dimensionality reduction via regression on hyperspectral infrared sounding data. - Valero Laparra; Jesus Malo; Gustavo Camps-Valls (WHISPERS, 2014)

Principal Polynomial Analysis. - Valero Laparra; Sandra Jiménez; Devis Tuia; Gustau Camps-Valls; Jesús Malo (Int. J. Neural Syst., 2014)

Large-scale random features for kernel regression. - Valero Laparra; Diego Marcos Gonzalez; Devis Tuia; Gustau Camps-Valls (IGARSS, 2015)

Spatial/spectral information trade-off in hyperspectral images. - Valero Laparra; Raúl Santos-Rodríguez (IGARSS, 2015)

Learning Structures in Earth Observation Data with Gaussian Processes. - Fernando Mateo; Jordi Muñoz-Marí; Valero Laparra; Jochem Verrelst; Gustau Camps-Valls (AALTD@PKDD/ECML (Revised Selected Papers), 2015)

Dimensionality Reduction via Regression in Hyperspectral Imagery. - Valero Laparra; Jesus Malo; Gustau Camps-Valls (IEEE J. Sel. Top. Signal Process., 2015)

Perceptual image quality assessment using a normalized Laplacian pyramid. - Valero Laparra; Johannes Ballé; Alexander Berardino; Eero P. Simoncelli (HVEI, 2016)

End-to-end optimization of nonlinear transform codes for perceptual quality. - Johannes Ballé; Valero Laparra; Eero P. Simoncelli (PCS, 2016)

Density Modeling of Images using a Generalized Normalization Transformation. - Johannes Ballé; Valero Laparra; Eero P. Simoncelli (ICLR, 2016)

Image Denoising with Kernels based on Natural Image Relations. - Valero Laparra; Juan Gutiérrez; Gustavo Camps-Valls; Jesús Malo (CoRR, 2016)

Sequential Principal Curves Analysis. - Valero Laparra; Jesús Malo (CoRR, 2016)

Regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data. - Naoufal Amrani; Joan Serra-Sagristà; Valero Laparra; Michael W. Marcellin; Jesús Malo (IEEE Trans. Geosci. Remote. Sens., 2016)

Probabilistic cross-validation estimators for Gaussian process regression. - Luca Martino; Valero Laparra; Gustau Camps-Valls (EUSIPCO, 2017)

End-to-end Optimized Image Compression. - Johannes Ballé; Valero Laparra; Eero P. Simoncelli (ICLR, 2017)

Nonlinear statistical retrieval of surface emissivity from IASI data. - Valero Laparra; Jordi Muñoz-Marí; Luis Gómez-Chova; Xavier Calbet; Gustau Camps-Valls (IGARSS, 2017)

Spatial noise-aware temperature retrieval from infrared sounder data. - David Malmgren-Hansen; Valero Laparra; Allan Aasbjerg Nielsen; Gustau Camps-Valls (IGARSS, 2017)

Eigen-Distortions of Hierarchical Representations. - Alexander Berardino; Valero Laparra; Johannes Ballé; Eero P. Simoncelli (NIPS, 2017)

Fair Kernel Learning. - Adrián Pérez-Suay; Valero Laparra; Gonzalo Mateo-Garcia; Jordi Muñoz-Marí; Luis Gómez-Chova; Gustau Camps-Valls (ECML/PKDD (1), 2017)

Physics-Aware Gaussian Processes for Earth Observation. - Gustau Camps-Valls; Daniel H. Svendsen; Luca Martino; Jordi Muñoz-Marí; Valero Laparra; Manuel Campos-Taberner; David Luengo (SCIA (2), 2017)

Perceptually Optimized Image Rendering. - Valero Laparra; Alexander Berardino; Johannes Ballé; Eero P. Simoncelli (CoRR, 2017)

Statistical Atmospheric Parameter Retrieval Largely Benefits From Spatial-Spectral Image Compression. - Joaquin Garcia-Sobrino; Joan Serra-Sagristà; Valero Laparra; Xavier Calbet; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2017)

Optimized Kernel Entropy Components. - Emma Izquierdo-Verdiguier; Valero Laparra; Robert Jenssen; Luis Gómez-Chova; Gustau Camps-Valls (IEEE Trans. Neural Networks Learn. Syst., 2017)

Consistent Regression of Biophysical Parameters with Kernel Methods. - Emiliano Diaz; Adrian Perez-Suay; Valero Laparra; Gustau Camps-Valls (IGARSS, 2018)

Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites. - Francisco Javier García-Haro; Manuel Campos-Taberner; Beatriz Martínez 001; Sergio Sanchez-Ruiz; María Amparo Gilabert; Gustau Camps-Valls; Jordi Muñoz-Marí; Valero Laparra; Fernando Camacho; Jorge Sánchez-Zapero; Beatriz Fuster (IGARSS, 2018)

Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. - Juan Emmanuel Johnson; Valero Laparra; Gustau Camps-Valls (IGARSS, 2018)

Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. - David Malmgren-Hansen; Allan Aasbjerg Nielsen; Valero Laparra; Gustau Camps-Valls (IGARSS, 2018)

Optimizing Kernel Ridge Regression for Remote Sensing Problems. - Gonzalo Mateo-Garcia; Valero Laparra; Luis Gómez-Chova (IGARSS, 2018)

Physics-aware Gaussian processes in remote sensing. - Gustau Camps-Valls; Luca Martino; Daniel H. Svendsen; Manuel Campos-Taberner; Jordi Muñoz-Marí; Valero Laparra; David Luengo; Francisco Javier García-Haro (Appl. Soft Comput., 2018)

Domain Adaptation of Landsat-8 and Proba-V Data Using Generative Adversarial Networks for Cloud Detection. - Gonzalo Mateo-García; Valero Laparra; Luis Gómez-Chova (IGARSS, 2019)

Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data. - Joaquin Garcia-Sobrino; Valero Laparra; Joan Serra-Sagristà; Xavier Calbet; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2019)

Kernel Anomalous Change Detection for Remote Sensing Imagery. - José Antonio Padrón-Hidalgo; Valero Laparra; Nathan Longbotham; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2019)

Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance. - Alexander Hepburn; Valero Laparra; Jesús Malo; Ryan McConville; Raúl Santos-Rodríguez (ICIP, 2020)

Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance. - Alexander Hepburn; Valero Laparra; Ryan McConville; Raúl Santos-Rodríguez (NLDL, 2020)

Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences. - Juan Emmanuel Johnson; Valero Laparra; Adrián Pérez-Suay; Miguel D. Mahecha; Gustau Camps-Valls (CoRR, 2020)

Information Theory Measures via Multidimensional Gaussianization. - Valero Laparra; Juan Emmanuel Johnson; Gustau Camps-Valls; Raúl Santos-Rodríguez; Jesus Malo (CoRR, 2020)

Information Theory in Density Destructors. - Juan Emmanuel Johnson; Valero Laparra; Gustau Camps-Valls; Raúl Santos-Rodríguez; Jesús Malo (CoRR, 2020)

Randomized kernels for large scale Earth observation applications. - Adrián Pérez-Suay; Julia Amorós-López; Luis Gómez-Chova; Valero Laparra; Jordi Muñoz-Marí; Gustau Camps-Valls (CoRR, 2020)

Accounting for Input Noise in Gaussian Process Parameter Retrieval. - Juan Emmanuel Johnson; Valero Laparra; Gustau Camps-Valls (IEEE Geosci. Remote. Sens. Lett., 2020)

Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection. - José Antonio Padrón-Hidalgo; Adrián Pérez-Suay; Fatih Nar; Valero Laparra; Gustau Camps-Valls (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection. - Gonzalo Mateo-García; Valero Laparra; Dan López-Puigdollers; Luis Gómez-Chova (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Hyperspectral remote sensing data compression with neural networks. - Sebastià Mijares i Verdú; Johannes Ballé; Valero Laparra; Joan Bartrina-Rapesta; Miguel Hernández-Cabronero; Joan Serra-Sagristà (DCC, 2022)

Synthetic Generation of Cardiac MR Images Combining Convolutional Variational Autoencoders and Style Transfer. - José Manuel Jaén-Lorites; Manuel Pérez-Pelegrí; Valero Laparra; María Pilar López-Lereu; José Vicente Monmeneu; Alicia M. Maceira; David Moratal (EMBC, 2022)

Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. - Valero Laparra; Alexander Hepburn; Juan Emmanuel Johnson; Jesús Malo (ICIP, 2022)

On the relation between statistical learning and perceptual distances. - Alexander Hepburn; Valero Laparra; Raúl Santos-Rodríguez; Johannes Ballé; Jesus Malo (ICLR, 2022)

Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset. - Pablo Hernández-Cámara; Valero Laparra; Jesús Malo (CoRR, 2022)

Retrieval of Physical Parameters With Deep Structured Kernel Regression. - Gustau Camps-Valls; Manuel Campos-Taberner; Valero Laparra; Luca Martino; Jordi Muñoz-Marí (IEEE Trans. Geosci. Remote. Sens., 2022)

Unsupervised Anomaly and Change Detection With Multivariate Gaussianization. - José Antonio Padrón-Hidalgo; Valero Laparra; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2022)

Analysis of Deep Image Quality Models. - Pablo Hernández-Cámara; Jorge Vila-Tomás; Valero Laparra; Jesús Malo (CoRR, 2023)

Disentangling the Link Between Image Statistics and Human Perception. - Alexander Hepburn; Valero Laparra; Raúl Santos-Rodríguez; Jesús Malo (CoRR, 2023)

What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics. - Tashi Namgyal; Alexander Hepburn; Raúl Santos-Rodríguez; Valero Laparra; Jesus Malo (CoRR, 2023)

Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data. - Tashi Namgyal; Alexander Hepburn; Raúl Santos-Rodríguez; Valero Laparra; Jesus Malo (CoRR, 2023)

Inference over radiative transfer models using variational and expectation maximization methods. - Daniel Heestermans Svendsen; Daniel Hernández-Lobato; Luca Martino; Valero Laparra; Álvaro Moreno-Martínez; Gustau Camps-Valls (Mach. Learn., 2023)

Assessing the Impact of Using Short Videos for Teaching at Higher Education: Empirical Evidence From Log-Files in a Learning Management System. - Valero Laparra; Adrián Pérez-Suay; María Piles; Jordi Muñoz-Marí; Julia Amorós-López; Roberto Fernandez-Moran; Miguel-Ángel Fernández-Torres; José E. Adsuara (Rev. Iberoam. de Tecnol. del Aprendiz., 2023)

Neural networks with divisive normalization for image segmentation. - Pablo Hernández-Cámara; Jorge Vila-Tomás; Valero Laparra; Jesús Malo (Pattern Recognit. Lett., 2023)

A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning. - Sebastià Mijares i Verdú; Johannes Ballé; Valero Laparra; Joan Bartrina-Rapesta; Miguel Hernández-Cabronero; Joan Serra-Sagristà (Remote. Sens., 2023)

Image Segmentation via Divisive Normalization: dealing with environmental diversity. - Pablo Hernández-Cámara; Jorge Vila-Tomás; Paula Daudén-Oliver; Nuria Alabau-Bosque; Valero Laparra; Jesús Malo (CoRR, 2024)

Invariance of deep image quality metrics to affine transformations. - Nuria Alabau-Bosque; Paula Daudén-Oliver; Jorge Vila-Tomás; Valero Laparra; Jesús Malo (CoRR, 2024)

The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification. - Tashi Namgyal; Alexander Hepburn; Raúl Santos-Rodríguez; Valero Laparra; Jesus Malo (CoRR, 2024)

Parametric Enhancement of PerceptNet: A Human-Inspired Approach for Image Quality Assessment. - Jorge Vila-Tomás; Pablo Hernández-Cámara; Valero Laparra; Jesús Malo (CoRR, 2024)

RAID-Database: human Responses to Affine Image Distortions. - Paula Daudén-Oliver; David Agost-Beltran; Emilio Sansano-Sansano; Valero Laparra; Jesús Malo; Marina Martínez-Garcia (CoRR, 2024)

Learning About Student Performance From Moodle Logs in a Higher Education Context With Gaussian Processes. - Adrián Pérez-Suay; Valero Laparra; Steven Van Vaerenbergh; Ana Belen Pascual Venteo (Rev. Iberoam. de Tecnol. del Aprendiz., 2024)

Why Divisive Normalization works in image segmentation? - Pablo Hernández-Cámara; Jorge Vila-Tomás; Paula Daudén-Oliver; Nuria Alabau-Bosque; Valero Laparra; Jesús Malo (Neurocomputing, 2025)

Dissecting the effectiveness of deep features as metric of perceptual image quality. - Pablo Hernández-Cámara; Jorge Vila-Tomás; Valero Laparra; Jesús Malo (Neural Networks, 2025)

IQM-Vis: A user-centric python toolbox for visualising and evaluating image quality metrics. - Matthew Clifford; Alexander Hepburn; Ricardo Kleinlein; Jorge Vila-Tomás; Pablo Hernández-Cámara; Paula Dauden; Nathan F. Lepora; Valero Laparra; Raúl Santos-Rodríguez (SoftwareX, 2025)

Use of Sun-Induced Chlorophyll Fluorescence in Linear and Nonlinear Light Use Efficiency Models for Remote Estimation of Plant Photosynthesis Under Stress Conditions. - Maria Pilar Cendrero Mateo; Shari Van Wittenberghe; Valero Laparra; Uwe Rascher; Shirley A. Papuga; Guillermo E. Ponce-Campos; José F. Moreno (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Estimating Information Theoretic Measures via Multidimensional Gaussianization. - Valero Laparra; Juan Emmanuel Johnson; Gustau Camps-Valls; Raúl Santos-Rodríguez; Jesús Malo (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Evolution of Low-Level and Texture Human-CLIP Alignment. - Pablo Hernández-Cámara; José Manuel Jaén-Lorites; Jorge Vila-Tomás; Jesus Malo; Valero Laparra (CoRR, 2025)

Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment. - Pablo Hernández-Cámara; José Manuel Jaén-Lorites; Jorge Vila-Tomás; Valero Laparra; Jesus Malo (CoRR, 2025)

Contrast Sensitivity Function of Multimodal Vision-Language Models. - Pablo Hernández-Cámara; Alexandra Gomez-Villa; José Manuel Jaén-Lorites; Jorge Vila-Tomás; Jesus Malo; Valero Laparra (CoRR, 2025)

From Images to Perception: Emergence of Perceptual Properties by Reconstructing Images. - Pablo Hernández-Cámara; Jesus Malo; Valero Laparra (CoRR, 2025)