output
20072026
most citedFree and smooth boundaries in 2-D finite-difference schemes for transient elastic waves

96 citations

22 papers

stat.AP2026

Stochastic generator of trajectories from record data: application to the fluctuations of a glacier's frontal position from a sample of moraines

Megret Maud, Mike Pereira, Nicolas Eckert +2

The record values theory study elements of a time series that exceed all previous observations, which are of particular interest in fields such as sports or climate science. In thi…

cs.LG2026

Domain Generalization for Time Series: Enhancing Drilling Regression Models for Stick-Slip Index Prediction

Hana Yahia, Bruno Figliuzzi, Florent Di Meglio +3

This paper provides a comprehensive comparison of domain generalization techniques applied to time series data within a drilling context, focusing on the prediction of a continuous…

physics.ao-ph2025

Intercomparison of a High-Resolution Regional Climate Model Ensemble for Catchment-Scale Water Cycle Processes under Human Influence

J. L. Roque, F. Da Silva Lopes, J. A. Giles +8

Understanding regional hydroclimatic variability and its drivers is essential for anticipating the impacts of climate change on water resources and sustainability. Yet, considerabl…

stat.CO2025

Spline Interpolation on Compact Riemannian Manifolds

Charlie Sire, Mike Pereira, Thomas Romary

Spline interpolation is a widely used class of methods for solving interpolation problems by constructing smooth interpolants that minimize a regularized energy functional involvin…

physics.geo-ph2025

A new 1D and velocity model of the western Rift of Corinth, Greece, using a fully non-linear tomography algorithm

Mark S. Noble, Alexandrine Gesret, Hélène Lyon-Caen +1

The objective of this study is to propose a new updated accurate 1-D and velocity model of the western Rift of Corinth for precise absolute earthquake locations. The me…

stat.ML2025

Predictive posterior sampling from non-stationnary Gaussian process priors via Diffusion models with application to climate data

Gabriel V Cardoso, Mike Pereira

Bayesian models based on Gaussian processes (GPs) offer a flexible framework to predict spatially distributed variables with uncertainty. But the use of nonstationary priors, often…