4 papers
Credible CO2 Comparisons: A Machine Learning Approach to Vehicle Powertrain Assessment
Rodrigo Pereira David, Luciano Araujo Dourado Filho, Daniel Marques da Silva +1
Decarbonizing road transport requires consistent and transparent methods for comparing CO2 emissions across vehicle technologies. This paper proposes a machine learning-based frame…
Tubular Riemannian Laplace Approximations for Bayesian Neural Networks
Rodrigo Pereira David
Laplace approximations are among the simplest and most practical methods for approximate Bayesian inference in neural networks, yet their Euclidean formulation struggles with the h…
Zero-Shot Segmentation through Prototype-Guidance for Multi-Label Plant Species Identification
Luciano Araujo Dourado Filho, Almir Moreira da Silva Neto, Rodrigo Pereira David +1
This paper presents an approach developed to address the PlantClef 2025 challenge, which consists of a fine-grained multi-label species identification, over high-resolution images.…
DINOv3 as a Frozen Encoder for CRPS-Oriented Probabilistic Rainfall Nowcasting
Luciano Araujo Dourado Filho, Almir Moreira da Silva Neto, Anthony Miyaguchi +3
This paper proposes a competitive and computationally efficient approach to probabilistic rainfall nowcasting. A video projector (V-JEPA Vision Transformer) associated to a lightwe…