Zobrazeno 1 - 10
of 445 562
pro vyhledávání: '"A Cynthia"'
We initiate the study of differentially private learning in the proportional dimensionality regime, in which the number of data samples $n$ and problem dimension $d$ approach infinity at rates proportional to one another, meaning that $d / n \to \del
Externí odkaz:
http://arxiv.org/abs/2411.13682
Autor:
Arata, Carolina, Arleo, François, Audurier, Benjamin, Baldisseri, Alberto, Bastid, Nicole, Batigne, Guillaume, Belikov, Iouri, Bluhm, Marcus, Bossu, Francesco, Borel, Hervé, Castellanos, Javier Castillo, Caucal, Paul, Cheshkov, Cvetan, Balbastre, Gustavo Conesa, del Valle, Zaida Conesa, Coquet, Maurice, Fernandez, Imanol Corredoira, Crochet, Philippe, Espagnon, Bruno, Faivre, Julien, Ferrero, Andrea, Francisco, Audrey, Fleuret, Frédéric, Flett, Chris, Furget, Christophe, Germain, Marie, Gossiaux, Pol Bernard, Guernane, Rachid, Guilbaud, Maxime, Guittiere, Manuel, Hadjidakis, Cynthia, Hippolyte, Boris, Kuhn, Christian, Lansberg, Jean-Philippe, Lopez, Xavier, Maire, Antonin, Mallick, Dukhishyam, Marquet, Cyrille, Martinez-Garcia, Ginés, Massacrier, Laure, Mattioli, Kara, Maurice, Émilie, Camacho, Carlos Munoz, Nahrgang, Marlene, Nefedov, Maxim, Niel, Élisabeth, Ozcelik, Melih A., Panebianco, Stefano, Pillot, Philippe, Pire, Bernard, Houssais, Sarah Porteboeuf, Rakotozafindrabe, Andry, Ramasubramanian, Niveditha, Robbe, Patrick, Sazdjian, Hagop, Senyukov, Serhiy, Suire, Christophe, Uras, Antonio, Wallon, Samuel, Winn, Michael
This document summarizes the prospective physics plans of the French QCD and Heavy-Ion community, including the experimental programs at the LHC Run 5 and beyond and future colliders at CERN, within the context of the French contribution to the updat
Externí odkaz:
http://arxiv.org/abs/2411.11669
Autor:
Wilson, David J., Froning, Cynthia S., Duvvuri, Girish M., Youngblood, Allison, France, Kevin, Brown, Alexander, Berta-Thompson, Zachory, Schneider, P. Christian, Buccino, Andrea P., Linsky, Jeffrey, Loyd, R. O. Parke, Miguel, Yamila, Newton, Elisabeth, Pineda, J. Sebastian, Redfield, Seth, Roberge, Aki, Rugheimer, Sarah, Vieytes, Mariela C.
We present 5-1x10^7 Angstrom spectral energy distributions (SEDs) for twelve M dwarf stars covering spectral types M0-M8. Our SEDs are provided for community use as a sequel to the Measurements of the Ultraviolet Spectral Characteristics of Low-mass
Externí odkaz:
http://arxiv.org/abs/2411.07394
This review provides a broad vision on the use of mechanistic mathematical models based on continuum mechanics to tackle current challenges in glaucoma research. At present, the advent of Artificial Intelligence and data-based models have resulted in
Externí odkaz:
http://arxiv.org/abs/2411.06539
Autor:
Ketabi, Sara, Wagner, Matthias W., Hawkins, Cynthia, Tabori, Uri, Ertl-Wagner, Birgit Betina, Khalvati, Farzad
Despite the promising performance of convolutional neural networks (CNNs) in brain tumor diagnosis from magnetic resonance imaging (MRI), their integration into the clinical workflow has been limited. That is mainly due to the fact that the features
Externí odkaz:
http://arxiv.org/abs/2411.00609
Autor:
Kim, Yubin, Park, Chanwoo, Jeong, Hyewon, Grau-Vilchez, Cristina, Chan, Yik Siu, Xu, Xuhai, McDuff, Daniel, Lee, Hyeonhoon, Breazeal, Cynthia, Park, Hae Won
Medical Decision-Making (MDM) is a multi-faceted process that requires clinicians to assess complex multi-modal patient data patient, often collaboratively. Large Language Models (LLMs) promise to streamline this process by synthesizing vast medical
Externí odkaz:
http://arxiv.org/abs/2411.00248
Autor:
Cook, Cynthia M., Howard, John J., Rabbitt, Laura R., Shuggi, Isabelle M., Sirotin, Yevgeniy B., Tipton, Jerry L., Vemury, Arun R.
Human image datasets used to develop and evaluate technology should represent the diversity of human phenotypes, including skin tone. Datasets that include skin tone information frequently rely on manual skin tone ratings based on the Fitzpatrick Ski
Externí odkaz:
http://arxiv.org/abs/2410.21005
We present ProtoViT, a method for interpretable image classification combining deep learning and case-based reasoning. This method classifies an image by comparing it to a set of learned prototypes, providing explanations of the form ``this looks lik
Externí odkaz:
http://arxiv.org/abs/2410.20722
The higher-rank numerical range is a convex compact set generalizing the classical numerical range of a square complex matrix, first appearing in the study of quantum error correction. We will discuss some of the real algebraic and convex geometry of
Externí odkaz:
http://arxiv.org/abs/2410.21625
Sparsity is a central aspect of interpretability in machine learning. Typically, sparsity is measured in terms of the size of a model globally, such as the number of variables it uses. However, this notion of sparsity is not particularly relevant for
Externí odkaz:
http://arxiv.org/abs/2410.20483