From the 3 of 14 papers with an AI index.
11 citations
- Université de RennesFR8 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Institut National des Sciences Appliquées de RennesFR4 papers
- Université Rennes 2FR4 papers
- Institut für Regionale Innovation und SozialforschungDE2 papers
- CEA GrenobleFR1 paper
- Centre hospitalier Bretagne AtlantiqueFR1 paper
- Centre Hospitalier de Bretagne SudFR1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- COMPACT: Compression de donn'ees visuelles massivesFR1 paper
- Compact Imaging (United States)US1 paper
- Département mathématiques, informatique, sciences de la donnée et technologies du numériqueFR1 paper
14 papers
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…
Online Handwriting Trajectory Reconstruction from Kinematic Sensors using Temporal Convolutional Network
Wassim Swaileh, Florent Imbert, Yann Soullard +2
The paper presents a pipeline that uses sensor data from a digital pen and a temporal convolutional network to reconstruct online handwriting trajectories, aligning differing sampl…
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…
Discovering shared interpretable operations in image compression autoencoders
Caroline Mazini Rodrigues, Nicolas Keriven, Thomas Maugey
With the increasing adoption of deep learning for applications such as image compression, improvements in the rate-distortion trade-off have been achieved at the cost of increasing…
Sliced Transport Plans
Eloi Tanguy, Laetitia Chapel, Julie Delon
Since the introduction of the Sliced Wasserstein distance in the literature, its simplicity and efficiency have made it one of the most interesting surrogate for the Wasserstein di…
Exploration and Online Transfer with Behavioral Foundation Models
Louis Bagot, Mathieu Lefort, Laëtitia Matignon
Zero-shot Transfer in Reinforcement Learning (RL) aims to train an agent that can generate optimal policies for any reward function, without additional learning at transfer time, w…