229 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- IRT M2PFR9 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Laboratoire de Mécanique et Génie CivilFR6 papers
- Université Montpellier 26 papers
- Institut de Mathématiques de ToulouseFR5 papers
- Institut Polytechnique de BordeauxFR5 papers
- Université de MontpellierFR5 papers
- Université Toulouse III - Paul SabatierFR5 papers
- Institut de Recherche en Informatique de ToulouseFR4 papers
- Institut National des Sciences Appliquées de ToulouseFR4 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR4 papers
- Université Paris-SaclayFR4 papers
5 papers · 1 filter
Fast 3D Diffusion for Scalable Granular Media Synthesis
Muhammad Moeeze Hassan, Régis Cottereau, Filippo Gatti +1
Discrete Element Method (DEM) simulations of granular media are computationally intensive, particularly during initialization phases dominated by large displacements and kinetic en…
Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks
Thomas Massena, Léo andéol, Thibaut Boissin +4
Conformal Prediction (CP) has proven to be an effective post-hoc method for improving the trustworthiness of neural networks by providing prediction sets with finite-sample guarant…
Exact and general decoupled solutions of the LMC Multitask Gaussian Process model
Olivier Truffinet, Karim Ammar, Jean-Philippe Argaud +1
The Linear Model of Co-regionalization (LMC) is a very general multitask gaussian process model for regression or classification. While its expressiveness and conceptual simplicity…
Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling
Léo Andéol, Thomas Fel, Florence De Grancey +1
Deploying deep learning models in real-world certified systems requires the ability to provide confidence estimates that accurately reflect their uncertainty. In this paper, we dem…
Transformers à Grande Vitesse
Farid Arthaud, Guillaume Lecoeur, Alban Pierre
Robust travel time predictions are of prime importance in managing any transportation infrastructure, and particularly in rail networks where they have major impacts both on traffi…