Tootfinder

Neuro-Spectral Architectures for Causal Physics-Informed Networks
Arthur Bizzi, Leonardo M. Moreira, M\'arcio Marques, Leonardo Mendon\c{c}a, Christian J\'unior de Oliveira, Vitor Balestro, Lucas dos Santos Fernandez, Daniel Yukimura, Pavel Petrov, Jo\~ao M. Pereira, Tiago Novello, Lucas Nissenbaum
https://arxiv.org/abs/2509.04966

Neuro-Spectral Architectures for Causal Physics-Informed Networks
Physics-Informed Neural Networks (PINNs) have emerged as a powerful neural framework for solving partial differential equations (PDEs). However, standard MLP-based PINNs often fail to converge when dealing with complex initial-value problems, leading to solutions that violate causality and suffer from a spectral bias towards low-frequency components. To address these issues, we introduce NeuSA (Neuro-Spectral Architectures), a novel class of PINNs inspired by classical spectral methods, designe…

10 septembre : ingénieur, doctorante en philosophie… Au tribunal, le profil « intello » de neuf prévenus - Le Parisien
https://www.leparisien.fr/faits-divers/bloqu…

10 septembre : ingénieur, doctorante en philosophie… Au tribunal, le profil « intello » de neuf prévenus
Aucun bandit dans la salle. Ces neuf personnes ont obtenu le renvoi de leur affaire dans les prochains mois, avant de retrouver leur liberté sous contrôle judiciaire.

Benchmarking Egocentric Visual-Inertial SLAM at City Scale
Anusha Krishnan, Shaohui Liu, Paul-Edouard Sarlin, Oscar Gentilhomme, David Caruso, Maurizio Monge, Richard Newcombe, Jakob Engel, Marc Pollefeys
https://arxiv.org/abs/2509.26639

Benchmarking Egocentric Visual-Inertial SLAM at City Scale
Precise 6-DoF simultaneous localization and mapping (SLAM) from onboard sensors is critical for wearable devices capturing egocentric data, which exhibits specific challenges, such as a wider diversity of motions and viewpoints, prevalent dynamic visual content, or long sessions affected by time-varying sensor calibration. While recent progress on SLAM has been swift, academic research is still driven by benchmarks that do not reflect these challenges or do not offer sufficiently accurate groun…