Valero Laparra

Identifiers

• name variant Valero Laparra 0.60 · backfill

Papers (47)

1. Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs cs.CV · 2026 · author #4
2. Hues and Cues: Human vs. CLIP cs.CV · 2025 · author #6
3. From Images to Perception: Emergence of Perceptual Properties by Reconstructing Images cs.CV · 2025 · author #3
4. Do Vision Transformers See Like Humans? Evaluating their Perceptual Alignment cs.CV · 2025 · author #4
5. A Turing Test for Artificial Nets devoted to model Human Vision q-bio.NC · 2025 · author #4
6. RAID-Database: human Responses to Affine Image Distortions cs.CV · 2024 · author #4
7. Parametric PerceptNet: A bio-inspired deep-net trained for Image Quality Assessment cs.CV · 2024 · author #3
8. The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification cs.SD · 2024 · author #4
9. Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data cs.SD · 2023 · author #4
10. What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics cs.SD · 2023 · author #4
11. Image Statistics Predict the Sensitivity of Perceptual Quality Metrics cs.CV · 2023 · author #2
12. Analysis of Deep Image Quality Models cs.CV · 2023 · author #3
13. Orthonormal Convolutions for the Rotation Based Iterative Gaussianization cs.CV · 2022 · author #1
14. Unsupervised Anomaly and Change Detection with Multivariate Gaussianization cs.LG · 2022 · author #2
15. Inference over radiative transfer models using variational and expectation maximization methods cs.LG · 2022 · author #4
16. Neural Networks with Divisive normalization for image segmentation with application in cityscapes dataset cs.CV · 2022 · author #2
17. On the relation between statistical learning and perceptual distances cs.CV · 2021 · author #2
18. Learning Structures in Earth Observation Data with Gaussian Processes physics.geo-ph · 2020 · author #3
19. Disentangling Derivatives, Uncertainty and Error in Gaussian Process Models stat.ML · 2020 · author #2
20. Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval physics.ao-ph · 2020 · author #3
21. Consistent regression of biophysical parameters with kernel methods stat.ME · 2020 · author #3
22. Kernel Anomalous Change Detection for Remote Sensing Imagery cs.CV · 2020 · author #2
23. Spatial noise-aware temperature retrieval from infrared sounder data eess.SP · 2020 · author #2
24. Randomized kernels for large scale Earth observation applications cs.LG · 2020 · author #4
25. Derivation of global vegetation biophysical parameters from EUMETSAT Polar System eess.IV · 2020 · author #4
26. Physics-Aware Gaussian Processes in Remote Sensing eess.SP · 2020 · author #6
27. Generation of global vegetation products from EUMETSAT AVHRR/METOP satellites eess.IV · 2020 · author #8
28. Information Theory in Density Destructors stat.ML · 2020 · author #2
29. Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis stat.AP · 2020 · author #2
30. Information Theory Measures via Multidimensional Gaussianization stat.ML · 2020 · author #1
31. Kernel Methods and their derivatives: Concept and perspectives for the Earth system sciences cs.LG · 2020 · author #2
32. Accounting for Input Noise in Gaussian Process Parameter Retrieval cs.LG · 2020 · author #2
33. PerceptNet: A Human Visual System Inspired Neural Network for Estimating Perceptual Distance cs.LG · 2019 · author #2
34. Enforcing Perceptual Consistency on Generative Adversarial Networks by Using the Normalised Laplacian Pyramid Distance cs.CV · 2019 · author #2
35. Fair Kernel Learning stat.ML · 2017 · author #2
36. Eigen-Distortions of Hierarchical Representations cs.CV · 2017 · author #3
37. Perceptually Optimized Image Rendering cs.CV · 2017 · author #1
38. End-to-end Optimized Image Compression cs.CV · 2016 · author #2
39. End-to-end optimization of nonlinear transform codes for perceptual quality cs.IT · 2016 · author #2
40. Sequential Principal Curves Analysis stat.ML · 2016 · author #1
41. Optimized Kernel Entropy Components stat.ML · 2016 · author #2
42. Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis stat.ML · 2016 · author #1
43. Iterative Gaussianization: from ICA to Random Rotations stat.ML · 2016 · author #1
44. Principal Polynomial Analysis stat.ML · 2016 · author #1
45. Image Denoising with Kernels based on Natural Image Relations cs.CV · 2016 · author #1
46. Dimensionality Reduction via Regression in Hyperspectral Imagery stat.ML · 2016 · author #1
47. Density Modeling of Images using a Generalized Normalization Transformation cs.LG · 2015 · author #2

Mentions

• 2509.02305 #6 · arxiv_oai · confidence 0.70 Valero Laparra
• 2508.10450 #3 · arxiv_oai · confidence 0.70 Valero Laparra
• 2508.09850 #4 · arxiv_oai · confidence 0.70 Valero Laparra
• 2502.00721 #4 · arxiv_oai · confidence 0.70 Valero Laparra
• 2412.03210 #3 · arxiv_oai · confidence 0.70 Valero Laparra
• 2412.10211 #4 · arxiv_oai · confidence 0.70 Valero Laparra
• 2303.09874 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 2010.06476 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 2010.03807 #1 · arxiv_oai · confidence 0.70 Valero Laparra
• 2409.17069 #4 · arxiv_oai · confidence 0.70 Valero Laparra
• 2312.03455 #4 · arxiv_oai · confidence 0.70 Valero Laparra
• 2305.11582 #4 · arxiv_oai · confidence 0.70 Valero Laparra
• 2302.13345 #3 · arxiv_oai · confidence 0.70 Valero Laparra
• 2203.13558 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 2206.03860 #1 · arxiv_oai · confidence 0.70 Valero Laparra
• 2204.05699 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 2204.03346 #4 · arxiv_oai · confidence 0.70 Valero Laparra
• 2106.04427 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 2007.14706 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 1511.06281 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 2012.11922 #3 · arxiv_oai · confidence 0.70 Valero Laparra
• 2012.10395 #3 · arxiv_oai · confidence 0.70 Valero Laparra
• 2012.07986 #6 · arxiv_oai · confidence 0.70 Valero Laparra
• 2012.05839 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 2012.05367 #8 · arxiv_oai · confidence 0.70 Valero Laparra
• 2012.05151 #4 · arxiv_oai · confidence 0.70 Valero Laparra
• 2012.04947 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 2012.04922 #3 · arxiv_oai · confidence 0.70 Valero Laparra
• 2012.04920 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 2012.03630 #4 · arxiv_oai · confidence 0.70 Valero Laparra
• 2012.01012 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 1910.12548 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 1908.04347 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 1710.02266 #3 · arxiv_oai · confidence 0.70 Valero Laparra
• 1701.06641 #1 · arxiv_oai · confidence 0.70 Valero Laparra
• 1611.01704 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 1607.05006 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 2005.09907 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 1710.05578 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 1606.00856 #1 · arxiv_oai · confidence 0.70 Valero Laparra
• 1603.02806 #2 · arxiv_oai · confidence 0.70 Valero Laparra
• 1602.00236 #1 · arxiv_oai · confidence 0.70 Valero Laparra
• 1602.00229 #1 · arxiv_oai · confidence 0.70 Valero Laparra
• 1602.00221 #1 · arxiv_oai · confidence 0.70 Valero Laparra
• 1602.00217 #1 · arxiv_oai · confidence 0.70 Valero Laparra
• 1602.00214 #1 · arxiv_oai · confidence 0.70 Valero Laparra

Frequent Coauthors

• Gustau Camps-Valls 20 shared papers
• Jes\'us Malo 14 shared papers
• Jesus Malo 9 shared papers
• Alexander Hepburn 8 shared papers
• Pablo Hern\'andez-C\'amara 7 shared papers
• J. Emmanuel Johnson 6 shared papers
• Johannes Ball\'e 6 shared papers
• Raul Santos-Rodriguez 6 shared papers
• Eero P. Simoncelli 5 shared papers
• Jordi Mu\~noz-Mar\'i 5 shared papers
• Jorge Vila-Tom\'as 5 shared papers
• Adri\'an P\'erez-Suay 4 shared papers
• Francisco Javier Garc\'ia-Haro 3 shared papers
• Gustavo Camps-Valls 3 shared papers
• Luis G\'omez-Chova 3 shared papers
• Manuel Campos-Taberner 3 shared papers
• Tashi Namgyal 3 shared papers
• Allan Aasbjerg Nielsen 2 shared papers
• David Malmgren-Hansen 2 shared papers
• Fernando Camacho 2 shared papers