From the 7 of 29 papers with an AI index.
38 citations
- Centre National de la Recherche ScientifiqueFR18 papers
- Université Rennes 2FR9 papers
- Institut de Recherche en Informatique et Systèmes AléatoiresFR8 papers
- Institut National des Sciences Appliquées de RennesFR7 papers
- KU LeuvenBE7 papers
- Missouri University of Science and TechnologyUS7 papers
- National Tsing Hua UniversityTW7 papers
- Université Côte d'AzurFR7 papers
- Université Savoie Mont BlancFR7 papers
- American UniversityUS6 papers
- Bard CollegeUS6 papers
- Bar-Ilan UniversityIL6 papers
5 papers · 1 filter
Domain adaptation for handwriting trajectory reconstruction from IMU sensors
Florent Imbert, Romain Tavenard, Yann Soullard +1
The paper proposes a domain adaptation method to create a unified feature representation for reconstructing handwriting trajectories from IMU-equipped digital pens, addressing sign…
Mixture-of-experts for handwriting trajectory reconstruction from IMU sensors
Florent Imbert, Eric Anquetil, Yann Soullard +1
The paper proposes a mixture-of-experts model to reconstruct online handwriting trajectories from IMU-equipped digital pens, handling both touching and hovering phases, and introdu…
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…
PERTINENCE: Input-based Opportunistic Neural Network Dynamic Execution
Omkar Shende, Gayathri Ananthanarayanan, Marcello Traiola
Deep neural networks (DNNs) are widely used for their ability to model complex patterns across domains such as computer vision, speech recognition, and robotics. However, larger mo…
A Gated Graph Neural Network Approach to Fast-Convergent Dynamic Average Estimation
Antonio Marino, Claudio Pacchierotti, Paolo Robuffo Giordano
Dynamic average estimation is a critical problem in multi-agent systems, enabling agents to collaboratively estimate time-varying signals using only local information exchange. Tra…