27 citations · 75 across the 17 of their papers we have counts for
18 papers
Europe's Climate Ambition Under Scrutiny: Evidence from Deep Learning Emission Projections
Jacopo Ghirri, Carlos Rodriguez-Pardo, Lara Aleluia Reis +1
The European Union has committed to reducing greenhouse gas emissions 55% below 1990 levels by 2030, but whether current trends are compatible with this ambition remains uncertain.…
TerraNova: A Foundation Model for the Anthropocene
Carlos Rodriguez-Pardo, Massimo Tavoni
A defining problem of the Anthropocene is to model the physical Earth and human societies as one coupled system, yet no learned representation spans their observational breadth. We…
EU-ETS under attack? The impact of carbon price suppression on the decarbonization of the power sector
Javier Gonzalez-Ruiz, Carlos Rodriguez-Pardo, Alice Di Bella +3
European countries are debating policies to mitigate the increased energy costs caused by renewed geopolitical tensions, while pursuing decarbonization and electrification. A notab…
A harmonised dataset for Earth system foundation models
Carlos Rodriguez-Pardo, Massimo Tavoni
Foundation models for Earth systems have so far been trained primarily on physical climate and weather data, with limited representation of the human systems that both drive and re…
Understanding electricity consumption behaviour through Inverse Reinforcement Learning
Enrico Cofler, Carlos Rodriguez-Pardo, Matteo Giuliani +2
Understanding how households consume electricity in response to socioeconomic and climatic drivers is important for decision-makers designing energy policies in a changing climate…
Fast Voxelization and Level of Detail for Microgeometry Rendering
Javier Fabre, Carlos Castillo, Carlos Rodriguez-Pardo +1
Many materials show anisotropic light scattering patterns due to the shape and local alignment of their underlying micro structures: surfaces with small elements such as fibers, or…
Assessing Long-Term Electricity Market Design for Ambitious Decarbonization Targets using Multi-Agent Reinforcement Learning
Javier Gonzalez-Ruiz, Carlos Rodriguez-Pardo, Iacopo Savelli +2
Electricity systems are key to transforming today's society into a carbon-free economy. Long-term electricity market mechanisms, including auctions, support schemes, and other poli…
Net-Zero: A Comparative Study on Neural Network Design for Climate-Economic PDEs Under Uncertainty
Carlos Rodriguez-Pardo, Louis Daumas, Leonardo Chiani +1
Climate-economic modeling under uncertainty presents significant computational challenges that may limit policymakers' ability to address climate change effectively. This paper exp…
Neural Conditional Transport Maps
Carlos Rodriguez-Pardo, Leonardo Chiani, Emanuele Borgonovo +1
We present a neural framework for learning conditional optimal transport (OT) maps between probability distributions. Our approach introduces a conditioning mechanism capable of pr…
Single-image Reflectance and Transmittance Estimation from Any Flatbed Scanner
Carlos Rodriguez-Pardo, David Pascual-Hernandez, Javier Rodriguez-Vazquez +2
Flatbed scanners have emerged as promising devices for high-resolution, single-image material capture. However, existing approaches assume very specific conditions, such as uniform…
TexTile: A Differentiable Metric for Texture Tileability
Carlos Rodriguez-Pardo, Dan Casas, Elena Garces +1
We introduce TexTile, a novel differentiable metric to quantify the degree upon which a texture image can be concatenated with itself without introducing repeating artifacts (i.e.,…
NeuBTF: Neural fields for BTF encoding and transfer
Carlos Rodriguez-Pardo, Konstantinos Kazatzis, Jorge Lopez-Moreno +1
Neural material representations are becoming a popular way to represent materials for rendering. They are more expressive than analytic models and occupy less memory than tabulated…
UMat: Uncertainty-Aware Single Image High Resolution Material Capture
Carlos Rodriguez-Pardo, Henar Dominguez-Elvira, David Pascual-Hernandez +1
We propose a learning-based method to recover normals, specularity, and roughness from a single diffuse image of a material, using microgeometry appearance as our primary cue. Prev…
How Will It Drape Like? Capturing Fabric Mechanics from Depth Images
Carlos Rodriguez-Pardo, Melania Prieto-Martin, Dan Casas +1
We propose a method to estimate the mechanical parameters of fabrics using a casual capture setup with a depth camera. Our approach enables to create mechanically-correct digital r…
SeamlessGAN: Self-Supervised Synthesis of Tileable Texture Maps
Carlos Rodriguez-Pardo, Elena Garces
We present SeamlessGAN, a method capable of automatically generating tileable texture maps from a single input exemplar. In contrast to most existing methods, focused solely on sol…
A Survey on Intrinsic Images: Delving Deep Into Lambert and Beyond
Elena Garces, Carlos Rodriguez-Pardo, Dan Casas +1
Intrinsic imaging or intrinsic image decomposition has traditionally been described as the problem of decomposing an image into two layers: a reflectance, the albedo invariant colo…
Neural Photometry-guided Visual Attribute Transfer
Carlos Rodriguez-Pardo, Elena Garces
We present a deep learning-based method for propagating spatially-varying visual material attributes (e.g. texture maps or image stylizations) to larger samples of the same or simi…
Personalised aesthetics with residual adapters
Carlos Rodríguez-Pardo, Hakan Bilen
The use of computational methods to evaluate aesthetics in photography has gained interest in recent years due to the popularization of convolutional neural networks and the availa…