Zobrazeno 1 - 10
of 127 171
pro vyhledávání: '"Sebastien This"'
We investigate the shear flow of a sludge mimicking slurries produced by the nuclear industry and constituted of a dispersion of non-Brownian particles into an attractive colloidal dispersion at a total solid volume fraction of about 10%. Combining r
Externí odkaz:
http://arxiv.org/abs/2411.00475
Autor:
Bae, Changwoo, Narayanaswamy, Kamatham, Idriss, Hisham, Poyac, Ludivine, Sen, Indraneel, Richeter, Sébastien, Clément, Sébastien, Biance, Anne-Laure, Albert, Samuel, Bonhomme, Oriane
We report the synthesis of a new functional molecule, a quater-tiophene based surfactant, which can both adsorb at the water / gas interface (surface active molecule) and aggregates through pi-pi stacking interactions. We assess then the ability of t
Externí odkaz:
http://arxiv.org/abs/2410.04145
Autor:
Mesbah, Zacharia, Mottay, Léo, Modzelewski, Romain, Decazes, Pierre, Hapdey, Sébastien, Ruan, Su, Thureau, Sébastien
For the last three years, the AutoPET competition gathered the medical imaging community around a hot topic: lesion segmentation on Positron Emitting Tomography (PET) scans. Each year a different aspect of the problem is presented; in 2024 the multip
Externí odkaz:
http://arxiv.org/abs/2410.02807
Autor:
Boulaimen, Youssef, Fossi, Gabriele, Outemzabet, Leila, Jeanray, Nathalie, Levenets, Oleksandr, Gerart, Stephane, Vachenc, Sebastien, Raieli, Salvatore, Giemza, Joanna
The classification of genetic variants, particularly Variants of Uncertain Significance (VUS), poses a significant challenge in clinical genetics and precision medicine. Large Language Models (LLMs) have emerged as transformative tools in this realm.
Externí odkaz:
http://arxiv.org/abs/2411.05055
Face recognition systems extract embedding vectors from face images and use these embeddings to verify or identify individuals. Face reconstruction attack (also known as template inversion) refers to reconstructing face images from face embeddings an
Externí odkaz:
http://arxiv.org/abs/2411.03960
Autor:
Thoresen, Freja, Drozdovskiy, Igor, Cowley, Aidan, Laban, Magdelena, Besse, Sebastien, Blunier, Sylvain
This paper presents a novel method for mapping spectral features of the Moon using machine learning-based clustering of hyperspectral data from the Moon Mineral Mapper (M3) imaging spectrometer. The method uses a convolutional variational autoencoder
Externí odkaz:
http://arxiv.org/abs/2411.03186
Autor:
Kim, Yoo Jung, Fitzgerald, Michael P., Lin, Jonathan, Lozi, Julien, Vievard, Sébastien, Xin, Yinzi, Levinstein, Daniel, Jovanovic, Nemanja, Leon-Saval, Sergio, Betters, Christopher, Guyon, Olivier, Norris, Barnaby, Sallum, Steph
Spectroastrometry, which measures wavelength-dependent shifts in the center of light, is well-suited for studying objects whose morphology changes with wavelength at very high angular resolutions. Photonic lantern (PL)-fed spectrometers have potentia
Externí odkaz:
http://arxiv.org/abs/2411.02501
Autor:
Baitairian, Jean-Baptiste, Sebastien, Bernard, Jreich, Rana, Katsahian, Sandrine, Guilloux, Agathe
In causal inference, treatment effects are typically estimated under the ignorability, or unconfoundedness, assumption, which is often unrealistic in observational data. By relaxing this assumption and conducting a sensitivity analysis, we introduce
Externí odkaz:
http://arxiv.org/abs/2411.02231
Autor:
George, Anjith, Marcel, Sebastien
The accuracy of face recognition systems has improved significantly in the past few years, thanks to the large amount of data collected and the advancement in neural network architectures. However, these large-scale datasets are often collected witho
Externí odkaz:
http://arxiv.org/abs/2411.02188
Autor:
Lord, Sébastien
A quantum tamper-evident encryption scheme is a non-interactive symmetric-key encryption scheme mapping classical messages to quantum ciphertexts such that an honest recipient of a ciphertext can detect with high probability any meaningful eavesdropp
Externí odkaz:
http://arxiv.org/abs/2411.02742