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32 papers · 1 filter
The 2024 Motile Active Matter Roadmap
Gerhard Gompper, Howard A. Stone, Christina Kurzthaler +29
Activity and autonomous motion are fundamental aspects of many living and engineering systems. Here, the scale of biological agents covers a wide range, from nanomotors, cytoskelet…
OnlyFlow: Optical Flow based Motion Conditioning for Video Diffusion Models
Mathis Koroglu, Hugo Caselles-Dupré, Guillaume Jeanneret Sanmiguel +1
We consider the problem of text-to-video generation tasks with precise control for various applications such as camera movement control and video-to-video editing. Most methods tac…
SFB-net for cardiac segmentation: Bridging the semantic gap with attention
Nicolas Portal, Nadjia Kachenoura, Thomas Dietenbeck +1
In the past few years, deep learning algorithms have been widely used for cardiac image segmentation. However, most of these architectures rely on convolutions that hardly model lo…
LoGDesc: Local geometric features aggregation for robust point cloud registration
Karim Slimani, Brahim Tamadazte, Catherine Achard
This paper introduces a new hybrid descriptor for 3D point matching and point cloud registration, combining local geometrical properties and learning-based feature propagation for…
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting
Mohamed Salim Aissi, Clement Romac, Thomas Carta +5
Reinforcement learning (RL) is a promising approach for aligning large language models (LLMs) knowledge with sequential decision-making tasks. However, few studies have thoroughly…
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
Gabriel Kasmi, Amandine Brunetto, Thomas Fel +1
Feature attribution methods aim to improve the transparency of deep neural networks by identifying the input features that influence a model's decision. Pixel-based heatmaps have b…