169 citations
- Centre National de la Recherche ScientifiqueFR7 papers
- Université Grenoble AlpesFR7 papers
- CEA GrenobleFR2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- GIPSA-LabFR2 papers
- Institut de Recherche en Informatique et Systèmes AléatoiresFR2 papers
- Laboratoire d'Intégration des Systèmes et des TechnologiesFR2 papers
- Université de RennesFR2 papers
- Université Savoie Mont BlancFR2 papers
- Human Computer Interaction (Switzerland)CH1 paper
- Institut de Recherches en Technologies et Sciences pour le VivantFR1 paper
- Jagiellonian UniversityPL1 paper
10 papers
How Foundational are Foundation Models for Time Series Forecasting?
Nouha Karaouli, Denis Coquenet, Elisa Fromont +2
Foundation Models are designed to serve as versatile embedding machines, with strong zero shot capabilities and superior generalization performance when fine-tuned on diverse downs…
Foundation vs. Specialized Models: Evaluating Catastrophic Forgetting in Continual Time Series Forecasting
Nouha Karaouli, Denis Coquenet, Elisa Fromont +2
While Time Series Foundation Models (TSFMs) excel in zero-shot tasks, their behavior under continual fine tuning is poorly understood. We present the first systematic study of cata…
A statistical procedure to assist dysgraphia detection through dynamic modelling of handwriting
Yunjiao Lu, Jean-Charles Quinton, Caroline Jolly +1
Dysgraphia is a neurodevelopmental condition in which children encounter difficulties in handwriting. Dysgraphia is not a disorder per se, but is secondary to neurodevelopmental di…
Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networks
Michael Pichat
What is the "nature" of the cognitive processes and contents of an artificial neural network? In other words, how does an artificial intelligence fundamentally "think," and in what…
Fish evacuate smoothly respecting a social bubble
R. Larrieu, P. Moreau, C. Graff +2
Crowd movements are observed among different species and on different scales, from insects to mammals, as well as in non-cognitive systems, such as motile cells. When forced to esc…
Learning robust speech representation with an articulatory-regularized variational autoencoder
Marc-Antoine Georges, Laurent Girin, Jean-Luc Schwartz +1
It is increasingly considered that human speech perception and production both rely on articulatory representations. In this paper, we investigate whether this type of representati…