Zobrazeno 1 - 10
of 25 153
pro vyhledávání: '"Geoffroy, A."'
Autor:
Oudoumanessah, Geoffroy, Coudert, Thomas, Meyer, Luc, Delphin, Aurelien, Dojat, Michel, Lartizien, Carole, Forbes, Florence
With the rapid advancements in medical data acquisition and production, increasingly richer representations exist to characterize medical information. However, such large-scale data do not usually meet computing resource constraints or algorithmic co
Externí odkaz:
http://arxiv.org/abs/2411.07415
Using log-geometry, we construct a model for the configuration category of a smooth algebraic variety. As an application, we prove the formality of certain configuration spaces.
Comment: 20 pages
Comment: 20 pages
Externí odkaz:
http://arxiv.org/abs/2411.06934
Publikováno v:
ISMIR 2024, Nov 2024, San Francisco, Californ, United States
In this paper, we propose a novel Self-Supervised-Learning scheme to train rhythm analysis systems and instantiate it for few-shot beat tracking. Taking inspiration from the Contrastive Predictive Coding paradigm, we propose to train a Log-Mel-Spectr
Externí odkaz:
http://arxiv.org/abs/2411.04152
In this study, we present the integration of a neural network-based parameterization into the global atmospheric model ARP-GEM1, leveraging the Python interface of the OASIS coupler. This approach facilitates the exchange of fields between the Fortra
Externí odkaz:
http://arxiv.org/abs/2410.21920
Hole transport and localization through small polarons is essential to the performance of TiO$_2$ in photocatalysis applications. The existence of small hole polaron in bulk rutile TiO$_2$ has been however controversial with contradicting evidences f
Externí odkaz:
http://arxiv.org/abs/2410.21452
Autor:
Zhang, Lei, Kloppenburg, Jan, Lin, Chia-Yi, Mitrovic, Luka, Gelin, Simon, Dabo, Ismaila, Schlom, Darrell G., Suntivich, Jin, Hautier, Geoffroy
Understanding the dehydrogenation of transition metal oxide surfaces under electrochemical potential is critical to the control of important chemical processes such as the oxygen evolution reaction (OER). Using first principles computations, we model
Externí odkaz:
http://arxiv.org/abs/2410.18421
Autor:
Chris-Okoro, Ikenna, Cherono, Sheilah, Akande, Wisdom, Nalawade, Swapnil, Liu, Mengxin, Martin, Catalin, Craciun, Valentin, Kim, R. Soyoung, Mahl, Johannes, Cuk, Tanja, Yano, Junko, Crumlin, Ethan, Schall, J. David, Aravamudhan, Shyam, Mihai, Maria Diana, Zheng, Jiongzhi, Zhang, Lei, Hautier, Geoffroy, Kumar, Dhananjay
This work reports a pulsed laser-assisted synthesis, detailed structural characterization, and study of plasmonic properties of three sets of TiN/TiNO thin films with high electron density. The first two sets of TiN films were grown at 600C and 700C
Externí odkaz:
http://arxiv.org/abs/2410.12616
Autor:
Cirici, Joana, Horel, Geoffroy
In this note, we explain an operadic proof of the BTT Theorem stating that the deformation theory of Calabi-Yau varieties is unobstructed. We also provide a short new proof of the non-commutative BTT for Calabi-Yau dg-categories. Finally, we observe
Externí odkaz:
http://arxiv.org/abs/2410.08786
Autor:
Yoon, Jae Shin, Shu, Zhixin, Ren, Mengwei, Zhang, Xuaner, Hold-Geoffroy, Yannick, Singh, Krishna Kumar, Zhang, He
We introduce a high-fidelity portrait shadow removal model that can effectively enhance the image of a portrait by predicting its appearance under disturbing shadows and highlights. Portrait shadow removal is a highly ill-posed problem where multiple
Externí odkaz:
http://arxiv.org/abs/2410.05525
Publikováno v:
2024 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2024), Sep 2024, London (UK), United Kingdom
The Prototypical Network (ProtoNet) has emerged as a popular choice in Few-shot Learning (FSL) scenarios due to its remarkable performance and straightforward implementation. Building upon such success, we first propose a simple (yet novel) method to
Externí odkaz:
http://arxiv.org/abs/2410.05302