Self-supervised learning (SSL) is at the origin of unprecedented improve...
Since the control of the Lipschitz constant has a great impact on the
tr...
Important research efforts have focused on the design and training of ne...
Neural Ordinary Differential Equations (ODEs) was recently introduced as...
The reliable prediction of the temporal behavior of complex systems is
r...
The Lipschitz constant of neural networks has been established as a key
...
Self-Supervised Learning (SSL) using huge unlabeled data has been
succes...
Language models have become a key step to achieve state-of-the-art resul...
Word meaning change can be inferred from drifts of time-varying word
emb...
Word usage, meaning and connotation change throughout time. Diachronic w...
This study is a preliminary exploration of the concept of informativenes...
Usage similarity estimation addresses the semantic proximity of word
ins...
When translating phrases (words or group of words), human translators,
c...
We present an approach based on feed-forward neural networks for learnin...