Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...
Pierre Fillard, Vincent Arsigny, Xavier Pennec, Pa...
Self-adjusting computation is an evaluation model in which programs can respond efficiently to small changes to their input data by using a change-propagation mechanism that updat...
Storing state in the client tier (in forms or cookies, for example) improves the efficiency of a web application, but it also renders the secrecy and integrity of stored data vul...
Completely annotated lambda terms (such as are arrived at via the straightforward encodings of various types from System F) contain much redundant type information. Consequently, ...
The purpose of this note is to describe the underlying insights and results obtained by the authors, and others, in a series of papers aimed at modelling the distribution of `natu...