Valero Laparra

110 papers A* 2B 6C 16Journal 71Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contrast sensitivity in multimodal large language models: A psychophysics-inspired evaluation. Neural Networks Pablo Hernández-Cámara, Alexandra Gomez-Villa, José Manuel Jaén-Lorites, Jorge Vila-Tomás, Valero Laparra, Jesús Malo
2025	J	`jnl`	A Turing Test for artificial nets devoted to vision. Frontiers Artif. Intell. Jorge Vila-Tomás, Pablo Hernández-Cámara, Qiang Li, Valero Laparra, Jesús Malo
2025	J	`jnl`	Color Names in Vision-Language Models. CoRR Alexandra Gomez-Villa, Pablo Hernández-Cámara, Muhammad Atif Butt, Valero Laparra, Jesus Malo, Javier Vazquez-Corral
2025	J	`jnl`	Contrast Sensitivity Function of Multimodal Vision-Language Models. CoRR Pablo Hernández-Cámara, Alexandra Gomez-Villa, José Manuel Jaén-Lorites, Jorge Vila-Tomás, Jesus Malo, Valero Laparra
2025	J	`jnl`	Dissecting the effectiveness of deep features as metric of perceptual image quality. Neural Networks Pablo Hernández-Cámara, Jorge Vila-Tomás, Valero Laparra, Jesús Malo
2025	J	`jnl`	Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment. CoRR Pablo Hernández-Cámara, José Manuel Jaén-Lorites, Jorge Vila-Tomás, Valero Laparra, Jesus Malo
2025	J	`jnl`	Estimating Information Theoretic Measures via Multidimensional Gaussianization. IEEE Trans. Pattern Anal. Mach. Intell. Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo
2025	J	`jnl`	Evolution of Low-Level and Texture Human-CLIP Alignment. CoRR Pablo Hernández-Cámara, José Manuel Jaén-Lorites, Jorge Vila-Tomás, Jesus Malo, Valero Laparra
2025	J	`jnl`	From Images to Perception: Emergence of Perceptual Properties by Reconstructing Images. CoRR Pablo Hernández-Cámara, Jesus Malo, Valero Laparra
2025	J	`jnl`	Hues and Cues: Human vs. CLIP. CoRR Nuria Alabau-Bosque, Jorge Vila-Tomás, Paula Daudén-Oliver, Pablo Hernández-Cámara, José Manuel Jaén-Lorites, Valero Laparra, Jesús Malo
2025	J	`jnl`	IQM-Vis: A user-centric python toolbox for visualising and evaluating image quality metrics. SoftwareX Matthew Clifford, Alexander Hepburn, Ricardo Kleinlein, Jorge Vila-Tomás, Pablo Hernández-Cámara, Paula Dauden, Nathan F. Lepora, Valero Laparra, Raúl Santos-Rodríguez
2025	J	`jnl`	Use of Sun-Induced Chlorophyll Fluorescence in Linear and Nonlinear Light Use Efficiency Models for Remote Estimation of Plant Photosynthesis Under Stress Conditions. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Maria Pilar Cendrero Mateo, Shari Van Wittenberghe, Valero Laparra, Uwe Rascher, Shirley A. Papuga, Guillermo E. Ponce-Campos, José F. Moreno
2025	J	`jnl`	Why Divisive Normalization works in image segmentation? Neurocomputing Pablo Hernández-Cámara, Jorge Vila-Tomás, Paula Daudén-Oliver, Nuria Alabau-Bosque, Valero Laparra, Jesús Malo
2024	J	`jnl`	Image Segmentation via Divisive Normalization: dealing with environmental diversity. CoRR Pablo Hernández-Cámara, Jorge Vila-Tomás, Paula Daudén-Oliver, Nuria Alabau-Bosque, Valero Laparra, Jesús Malo
2024	J	`jnl`	Invariance of deep image quality metrics to affine transformations. CoRR Nuria Alabau-Bosque, Paula Daudén-Oliver, Jorge Vila-Tomás, Valero Laparra, Jesús Malo
2024	J	`jnl`	Learning About Student Performance From Moodle Logs in a Higher Education Context With Gaussian Processes. Rev. Iberoam. de Tecnol. del Aprendiz. Adrián Pérez-Suay, Valero Laparra, Steven Van Vaerenbergh, Ana Belen Pascual Venteo
2024	J	`jnl`	Parametric Enhancement of PerceptNet: A Human-Inspired Approach for Image Quality Assessment. CoRR Jorge Vila-Tomás, Pablo Hernández-Cámara, Valero Laparra, Jesús Malo
2024	J	`jnl`	RAID-Database: human Responses to Affine Image Distortions. CoRR Paula Daudén-Oliver, David Agost-Beltran, Emilio Sansano-Sansano, Valero Laparra, Jesús Malo, Marina Martínez-García
2024	J	`jnl`	The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification. CoRR Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo
2023	J	`jnl`	A Scalable Reduced-Complexity Compression of Hyperspectral Remote Sensing Images Using Deep Learning. Remote. Sens. Sebastià Mijares i Verdú, Johannes Ballé, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero, Joan Serra-Sagristà
2023	J	`jnl`	Analysis of Deep Image Quality Models. CoRR Pablo Hernández-Cámara, Jorge Vila-Tomás, Valero Laparra, Jesús Malo
2023	J	`jnl`	Assessing the Impact of Using Short Videos for Teaching at Higher Education: Empirical Evidence From Log-Files in a Learning Management System. Rev. Iberoam. de Tecnol. del Aprendiz. Valero Laparra, Adrián Pérez-Suay, María Piles, Jordi Muñoz-Marí, Julia Amorós-López, Roberto Fernandez-Moran, Miguel-Ángel Fernández-Torres, José E. Adsuara
2023	J	`jnl`	Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data. CoRR Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo
2023	J	`jnl`	Disentangling the Link Between Image Statistics and Human Perception. CoRR Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Jesús Malo
2023	J	`jnl`	Inference over radiative transfer models using variational and expectation maximization methods. Mach. Learn. Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno-Martínez, Gustau Camps-Valls
2023	J	`jnl`	Neural networks with divisive normalization for image segmentation. Pattern Recognit. Lett. Pablo Hernández-Cámara, Jorge Vila-Tomás, Valero Laparra, Jesús Malo
2023	J	`jnl`	What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics. CoRR Tashi Namgyal, Alexander Hepburn, Raúl Santos-Rodríguez, Valero Laparra, Jesus Malo
2022	B	`conf`	Hyperspectral remote sensing data compression with neural networks. DCC Sebastià Mijares i Verdú, Johannes Ballé, Valero Laparra, Joan Bartrina-Rapesta, Miguel Hernández-Cabronero, Joan Serra-Sagristà
2022	J	`jnl`	Inference over radiative transfer models using variational and expectation maximization methods. CoRR Daniel Heestermans Svendsen, Daniel Hernández-Lobato, Luca Martino, Valero Laparra, Álvaro Moreno, Gustau Camps-Valls
2022	J	`jnl`	Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset. CoRR Pablo Hernández-Cámara, Valero Laparra, Jesús Malo
2022	A*	`conf`	On the relation between statistical learning and perceptual distances. ICLR Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesus Malo
2022	B	`conf`	Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. ICIP Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo
2022	J	`jnl`	Orthonormal Convolutions for the Rotation Based Iterative Gaussianization. CoRR Valero Laparra, Alexander Hepburn, Juan Emmanuel Johnson, Jesús Malo
2022	J	`jnl`	Retrieval of Physical Parameters With Deep Structured Kernel Regression. IEEE Trans. Geosci. Remote. Sens. Gustau Camps-Valls, Manuel Campos-Taberner, Valero Laparra, Luca Martino, Jordi Muñoz-Marí
2022	—	`conf`	Synthetic Generation of Cardiac MR Images Combining Convolutional Variational Autoencoders and Style Transfer. EMBC José Manuel Jaén-Lorites, Manuel Pérez-Pelegrí, Valero Laparra, María Pilar López-Lereu, José Vicente Monmeneu, Alicia M. Maceira, David Moratal
2022	J	`jnl`	Unsupervised Anomaly and Change Detection With Multivariate Gaussianization. IEEE Trans. Geosci. Remote. Sens. José Antonio Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls
2022	J	`jnl`	Unsupervised Anomaly and Change Detection with Multivariate Gaussianization. CoRR José Antonio Padrón-Hidalgo, Valero Laparra, Gustau Camps-Valls
2021	J	`jnl`	Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V Images for Cloud Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Gonzalo Mateo-García, Valero Laparra, Dan López-Puigdollers, Luis Gómez-Chova
2021	J	`jnl`	On the relation between statistical learning and perceptual distances. CoRR Alexander Hepburn, Valero Laparra, Raúl Santos-Rodríguez, Johannes Ballé, Jesús Malo
2020	J	`jnl`	Accounting for Input Noise in Gaussian Process Parameter Retrieval. CoRR Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
2020	J	`jnl`	Accounting for Input Noise in Gaussian Process Parameter Retrieval. IEEE Geosci. Remote. Sens. Lett. Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
2020	J	`jnl`	Consistent regression of biophysical parameters with kernel methods. CoRR Emiliano Diaz, Adrián Pérez-Suay, Valero Laparra, Gustau Camps-Valls
2020	J	`jnl`	Cross-Sensor Adversarial Domain Adaptation of Landsat-8 and Proba-V images for Cloud Detection. CoRR Gonzalo Mateo-García, Valero Laparra, Dan López-Puigdollers, Luis Gómez-Chova
2020	J	`jnl`	Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. CoRR Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
2020	J	`jnl`	Efficient Kernel Cook's Distance for Remote Sensing Anomalous Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. José Antonio Padrón-Hidalgo, Adrián Pérez-Suay, Fatih Nar, Valero Laparra, Gustau Camps-Valls
2020	—	`conf`	Enforcing perceptual consistency on Generative Adversarial Networks by using the Normalised Laplacian Pyramid Distance. NLDL Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
2020	J	`jnl`	Information Theory Measures via Multidimensional Gaussianization. CoRR Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesus Malo
2020	J	`jnl`	Information Theory in Density Destructors. CoRR Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo
2020	J	`jnl`	Kernel Anomalous Change Detection for Remote Sensing Imagery. CoRR José Antonio Padrón-Hidalgo, Valero Laparra, Nathan Longbotham, Gustau Camps-Valls
2020	J	`jnl`	Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences. CoRR Juan Emmanuel Johnson, Valero Laparra, Adrián Pérez-Suay, Miguel D. Mahecha, Gustau Camps-Valls
2020	B	`conf`	Perceptnet: A Human Visual System Inspired Neural Network For Estimating Perceptual Distance. ICIP Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
2020	J	`jnl`	Randomized kernels for large scale Earth observation applications. CoRR Adrián Pérez-Suay, Julia Amorós-López, Luis Gómez-Chova, Valero Laparra, Jordi Muñoz-Marí, Gustau Camps-Valls
2020	J	`jnl`	Spatial noise-aware temperature retrieval from infrared sounder data. CoRR David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls
2020	J	`jnl`	Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. CoRR David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls
2019	C	`conf`	Domain Adaptation of Landsat-8 and Proba-V Data Using Generative Adversarial Networks for Cloud Detection. IGARSS Gonzalo Mateo-García, Valero Laparra, Luis Gómez-Chova
2019	J	`jnl`	Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance. CoRR Alexander Hepburn, Valero Laparra, Ryan McConville, Raúl Santos-Rodríguez
2019	J	`jnl`	Improved Statistically Based Retrievals via Spatial-Spectral Data Compression for IASI Data. IEEE Trans. Geosci. Remote. Sens. Joaquin Garcia-Sobrino, Valero Laparra, Joan Serra-Sagristà, Xavier Calbet, Gustau Camps-Valls
2019	J	`jnl`	Kernel Anomalous Change Detection for Remote Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. José Antonio Padrón-Hidalgo, Valero Laparra, Nathan Longbotham, Gustau Camps-Valls
2019	J	`jnl`	PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance. CoRR Alexander Hepburn, Valero Laparra, Jesús Malo, Ryan McConville, Raúl Santos-Rodríguez
2018	C	`conf`	Consistent Regression of Biophysical Parameters with Kernel Methods. IGARSS Emiliano Diaz, Adrian Perez-Suay, Valero Laparra, Gustau Camps-Valls
2018	C	`conf`	Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models. IGARSS Juan Emmanuel Johnson, Valero Laparra, Gustau Camps-Valls
2018	C	`conf`	Generation of Global Vegetation Products from Eumetsat AVHRR/METOP Satellites. IGARSS Francisco Javier García-Haro, Manuel Campos-Taberner, Beatriz Martínez, Sergio Sanchez-Ruiz, María Amparo Gilabert, Gustau Camps-Valls, Jordi Muñoz-Marí, Valero Laparra, Fernando Camacho, Jorge Sánchez-Zapero, Beatriz Fuster
2018	C	`conf`	Optimizing Kernel Ridge Regression for Remote Sensing Problems. IGARSS Gonzalo Mateo-Garcia, Valero Laparra, Luis Gómez-Chova
2018	J	`jnl`	Physics-aware Gaussian processes in remote sensing. Appl. Soft Comput. Gustau Camps-Valls, Luca Martino, Daniel H. Svendsen, Manuel Campos-Taberner, Jordi Muñoz-Marí, Valero Laparra, David Luengo, Francisco Javier García-Haro
2018	C	`conf`	Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval. IGARSS David Malmgren-Hansen, Allan Aasbjerg Nielsen, Valero Laparra, Gustau Camps-Valls
2017	—	`conf`	Eigen-Distortions of Hierarchical Representations. NIPS Alexander Berardino, Valero Laparra, Johannes Ballé, Eero P. Simoncelli
2017	J	`jnl`	Eigen-Distortions of Hierarchical Representations. CoRR Alexander Berardino, Johannes Ballé, Valero Laparra, Eero P. Simoncelli
2017	—	`conf`	End-to-end Optimized Image Compression. ICLR Johannes Ballé, Valero Laparra, Eero P. Simoncelli
2017	—	`conf`	Fair Kernel Learning. ECML/PKDD (1) Adrián Pérez-Suay, Valero Laparra, Gonzalo Mateo-Garcia, Jordi Muñoz-Marí, Luis Gómez-Chova, Gustau Camps-Valls
2017	C	`conf`	Nonlinear statistical retrieval of surface emissivity from IASI data. IGARSS Valero Laparra, Jordi Muñoz-Marí, Luis Gómez-Chova, Xavier Calbet, Gustau Camps-Valls
2017	J	`jnl`	Optimized Kernel Entropy Components. IEEE Trans. Neural Networks Learn. Syst. Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls
2017	J	`jnl`	Perceptually Optimized Image Rendering. CoRR Valero Laparra, Alexander Berardino, Johannes Ballé, Eero P. Simoncelli
2017	—	`conf`	Physics-Aware Gaussian Processes for Earth Observation. SCIA (2) Gustau Camps-Valls, Daniel H. Svendsen, Luca Martino, Jordi Muñoz-Marí, Valero Laparra, Manuel Campos-Taberner, David Luengo
2017	—	`conf`	Probabilistic cross-validation estimators for Gaussian process regression. EUSIPCO Luca Martino, Valero Laparra, Gustau Camps-Valls
2017	C	`conf`	Spatial noise-aware temperature retrieval from infrared sounder data. IGARSS David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls
2017	J	`jnl`	Statistical Atmospheric Parameter Retrieval Largely Benefits From Spatial-Spectral Image Compression. IEEE Trans. Geosci. Remote. Sens. Joaquin Garcia-Sobrino, Joan Serra-Sagristà, Valero Laparra, Xavier Calbet, Gustau Camps-Valls
2016	A*	`conf`	Density Modeling of Images using a Generalized Normalization Transformation. ICLR Johannes Ballé, Valero Laparra, Eero P. Simoncelli
2016	J	`jnl`	Dimensionality Reduction via Regression in Hyperspectral Imagery. CoRR Valero Laparra, Jesús Malo, Gustau Camps-Valls
2016	J	`jnl`	End-to-end Optimized Image Compression. CoRR Johannes Ballé, Valero Laparra, Eero P. Simoncelli
2016	C	`conf`	End-to-end optimization of nonlinear transform codes for perceptual quality. PCS Johannes Ballé, Valero Laparra, Eero P. Simoncelli
2016	J	`jnl`	End-to-end optimization of nonlinear transform codes for perceptual quality. CoRR Johannes Ballé, Valero Laparra, Eero P. Simoncelli
2016	J	`jnl`	Image Denoising with Kernels based on Natural Image Relations. CoRR Valero Laparra, Juan Gutiérrez, Gustavo Camps-Valls, Jesús Malo
2016	J	`jnl`	Optimized Kernel Entropy Components. CoRR Emma Izquierdo-Verdiguier, Valero Laparra, Robert Jenssen, Luis Gómez-Chova, Gustau Camps-Valls
2016	—	`conf`	Perceptual image quality assessment using a normalized Laplacian pyramid. HVEI Valero Laparra, Johannes Ballé, Alexander Berardino, Eero P. Simoncelli
2016	J	`jnl`	Regression Wavelet Analysis for Lossless Coding of Remote-Sensing Data. IEEE Trans. Geosci. Remote. Sens. Naoufal Amrani, Joan Serra-Sagristà, Valero Laparra, Michael W. Marcellin, Jesús Malo
2016	J	`jnl`	Sequential Principal Curves Analysis. CoRR Valero Laparra, Jesús Malo
2015	J	`jnl`	Dimensionality Reduction via Regression in Hyperspectral Imagery. IEEE J. Sel. Top. Signal Process. Valero Laparra, Jesus Malo, Gustau Camps-Valls
2015	C	`conf`	Large-scale random features for kernel regression. IGARSS Valero Laparra, Diego Marcos Gonzalez, Devis Tuia, Gustau Camps-Valls
2015	—	`conf`	Learning Structures in Earth Observation Data with Gaussian Processes. AALTD@PKDD/ECML (Revised Selected Papers) Fernando Mateo, Jordi Muñoz-Marí, Valero Laparra, Jochem Verrelst, Gustau Camps-Valls
2015	C	`conf`	Spatial/spectral information trade-off in hyperspectral images. IGARSS Valero Laparra, Raúl Santos-Rodríguez
2014	—	`conf`	Dimensionality reduction via regression on hyperspectral infrared sounding data. WHISPERS Valero Laparra, Jesus Malo, Gustavo Camps-Valls
2014	B	`conf`	Lossless coding of hyperspectral images with principal polynomial analysis. ICIP Naoufal Amrani, Valero Laparra, Gustavo Camps-Valls, Joan Serra-Sagristà, Jesús Malo
2014	J	`jnl`	Principal Polynomial Analysis. Int. J. Neural Syst. Valero Laparra, Sandra Jiménez, Devis Tuia, Gustau Camps-Valls, Jesús Malo
2013	—	`conf`	Chromatic induction and contrast masking: similar models, different goals? Human Vision and Electronic Imaging Sandra Jiménez, Xavier Otazu, Valero Laparra, Jesús Malo
2013	J	`jnl`	Encoding Invariances in Remote Sensing Image Classification With SVM. IEEE Geosci. Remote. Sens. Lett. Emma Izquierdo-Verdiguier, Valero Laparra, Luis Gómez-Chova, Gustavo Camps-Valls
2013	C	`conf`	Kernel Structural SIMIlarity on hyperspectral images. IGARSS Vicent Talens, Valero Laparra, Jesus Malo, Gustavo Camps-Valls
2013	—	`conf`	Visual discrimination and adaptation using non-linear unsupervised learning. Human Vision and Electronic Imaging Sandra Jiménez, Valero Laparra, Jesús Malo
2012	C	`conf`	Including invariances in SVM remote sensing image classification. IGARSS Emma Izquierdo-Verdiguier, Valero Laparra, Luis Gómez-Chova, Gustavo Camps-Valls
2012	—	`conf`	Nonlinear data description with Principal Polynomial Analysis. MLSP Valero Laparra, Devis Tuia, Sandra Jiménez, Gustavo Camps-Valls, Jesus Malo
2012	J	`jnl`	Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis. Neural Comput. Valero Laparra, Sandra Jiménez, Gustavo Camps-Valls, Jesús Malo
2011	—	`conf`	Complex-Valued Independent Component Analysis of Natural Images. ICANN (2) Valero Laparra, Michael Gutmann, Jesús Malo, Aapo Hyvärinen
2011	J	`jnl`	Iterative Gaussianization: From ICA to Random Rotations. IEEE Trans. Neural Networks Valero Laparra, Gustavo Camps-Valls, Jesus Malo
2011	C	`conf`	Kernel-based retrieval of atmospheric profiles from IASI data. IGARSS Gustavo Camps-Valls, Valero Laparra, Jordi Muñoz-Marí, Luis Gómez-Chova, Xavier Calbet
2011	C	`conf`	Principal polynomial analysis for remote sensing data processing. IGARSS Valero Laparra, Devis Tuia, Sandra Jiménez, Gustavo Camps-Valls, Jesus Malo
2010	C	`conf`	Estimating biophysical variable dependences with kernels. IGARSS Gustavo Camps-Valls, Devis Tuia, Valero Laparra, Jesús Malo
2010	J	`jnl`	Image Denoising with Kernels Based on Natural Image Relations. J. Mach. Learn. Res. Valero Laparra, Jaime Gutierrez, Gustavo Camps-Valls, Jesús Malo
2010	J	`jnl`	Psychophysically Tuned Divisive Normalization Approximately Factorizes the PDF of Natural Images. Neural Comput. Jesús Malo, Valero Laparra
2009	B	`conf`	PCA Gaussianization for image processing. ICIP Valero Laparra, Gustavo Camps-Valls, Jesús Malo
2009	—	`conf`	Visual Cortex Performs a Sort of Non-linear ICA. NOLISP Jesus Malo, Valero Laparra
2008	B	`conf`	Recovering wavelet relations using SVM for image denoising. ICIP Valero Laparra, Jaime Gutierrez, Gustavo Camps-Valls, Jesus Malo