6 citations · 6 across the 7 of their papers we have counts for
4 papers · 1 filter
Bayesian Experimental Design via Contrastive Diffusions
Jacopo Iollo, Christophe Heinkelé, Pierre Alliez +1
Bayesian Optimal Experimental Design (BOED) is a powerful tool to reduce the cost of running a sequence of experiments. When based on the Expected Information Gain (EIG), design op…
PoNQ: a Neural QEM-based Mesh Representation
Nissim Maruani, Maks Ovsjanikov, Pierre Alliez +1
Although polygon meshes have been a standard representation in geometry processing, their irregular and combinatorial nature hinders their suitability for learning-based applicatio…
LFS-Aware Surface Reconstruction from Unoriented 3D Point Clouds
Rao Fu, Kai Hormann, Pierre Alliez
We present a novel approach for generating isotropic surface triangle meshes directly from unoriented 3D point clouds, with the mesh density adapting to the estimated local feature…
PASOA- PArticle baSed Bayesian Optimal Adaptive design
Jacopo Iollo, Christophe Heinkelé, Pierre Alliez +1
We propose a new procedure named PASOA, for Bayesian experimental design, that performs sequential design optimization by simultaneously providing accurate estimates of successive…