Zobrazeno 1 - 10
of 4 567
pro vyhledávání: '"Boulet, A. P."'
Autor:
Boulet, Sandrine, Comets, Emmanuelle, Guillon, Antoine, Aulin, Linda B. S., Michelet, Robin, Kloft, Charlotte, Zohar, Sarah, Ursino, Moreno
Publikováno v:
Statistics in Biopharmaceutical Research, 2024, pp.1-13
Conventionally, a first-in-human phase I trial in healthy volunteers aims to confirm the safety of a drug in humans. In such situations, volunteers should not suffer from any safety issues and simple algorithm-based dose-escalation schemes are often
Externí odkaz:
http://arxiv.org/abs/2412.03298
Kin selection theory has proven to be a popular and widely accepted account of how altruistic behaviour can evolve under natural selection. Hamilton's rule, first published in 1964, has since been experimentally validated across a range of different
Externí odkaz:
http://arxiv.org/abs/2411.10536
Reward specification is one of the most tricky problems in Reinforcement Learning, which usually requires tedious hand engineering in practice. One promising approach to tackle this challenge is to adopt existing expert video demonstrations for polic
Externí odkaz:
http://arxiv.org/abs/2410.21795
Publikováno v:
27th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2024)
Trajectory prediction module in an autonomous driving system is crucial for the decision-making and safety of the autonomous agent car and its surroundings. This work presents a novel scheme called AiGem (Agent-Interaction Graph Embedding) to predict
Externí odkaz:
http://arxiv.org/abs/2410.23298
The hype around self-driving cars has been growing over the past years and has sparked much research. Several modules in self-driving cars are thoroughly investigated to ensure safety, comfort, and efficiency, among which the controller is crucial. T
Externí odkaz:
http://arxiv.org/abs/2410.11979
Publikováno v:
21st International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics?LISBON | PORTUGAL ?JULY 8 -- 11, 2024, Jul 2024, Lisbonne, Portugal
We have developed a convolutional neural network (CNN) to reconstruct the shape of irregular rough particles from their interferometric images. The CNN is based on a UNET architecture with residual block modules. The database has been constructed usi
Externí odkaz:
http://arxiv.org/abs/2408.03327
In this work, we investigate how to leverage pre-trained visual-language models (VLM) for online Reinforcement Learning (RL). In particular, we focus on sparse reward tasks with pre-defined textual task descriptions. We first identify the problem of
Externí odkaz:
http://arxiv.org/abs/2406.00645
The autonomous driving industry is expected to grow by over 20 times in the coming decade and, thus, motivate researchers to delve into it. The primary focus of their research is to ensure safety, comfort, and efficiency. An autonomous vehicle has se
Externí odkaz:
http://arxiv.org/abs/2404.12256
Autor:
Boulet, Thibault
Context. Understanding the Milky Way's formation and evolution across cosmic epochs necessitates precise stellar age determination across all Galactic components. Recent advancements in asteroseismology, spectroscopy, stellar modelling, and machine l
Externí odkaz:
http://arxiv.org/abs/2403.20291
Spiking Neural Networks (SNN). SNNs are based on a more biologically inspired approach than usual artificial neural networks. Such models are characterized by complex dynamics between neurons and spikes. These are very sensitive to the hyperparameter
Externí odkaz:
http://arxiv.org/abs/2403.00450