Zobrazeno 1 - 10
of 13 805
pro vyhledávání: '"Goren, A"'
Autor:
Goren, Eyal Z., Love, Jonathan R.
This paper contains a survey of supersingular isogeny graphs associated to supersingular elliptic curves and their various applications to cryptography. Within limitation of space, we attempt to address a broad audience and make this part widely acce
Externí odkaz:
http://arxiv.org/abs/2410.06123
Autor:
Goren, Matan, Treister, Eran
Full Waveform Inversion (FWI) is an inverse problem for estimating the wave velocity distribution in a given domain, based on observed data on the boundaries. The inversion is computationally demanding because we are required to solve multiple forwar
Externí odkaz:
http://arxiv.org/abs/2405.17696
Deploying deep neural networks for risk-sensitive tasks necessitates an uncertainty estimation mechanism. This paper introduces hierarchical selective classification, extending selective classification to a hierarchical setting. Our approach leverage
Externí odkaz:
http://arxiv.org/abs/2405.11533
Motivated by problems in categorical database theory, we introduce and compare two notions of presentation for profunctors, uncurried and curried, which arise intuitively from thinking of profunctors either as functors $\mathcal{C}^\text{op} \times \
Externí odkaz:
http://arxiv.org/abs/2404.01406
Autor:
Selcuk, Sahan Yoruc, Yang, Xilin, Bai, Bijie, Zhang, Yijie, Li, Yuzhu, Aydin, Musa, Unal, Aras Firat, Gomatam, Aditya, Guo, Zhen, Angus, Darrow Morgan, Kolodney, Goren, Atlan, Karine, Haran, Tal Keidar, Pillar, Nir, Ozcan, Aydogan
Publikováno v:
BME Frontiers (2024)
Human epidermal growth factor receptor 2 (HER2) is a critical protein in cancer cell growth that signifies the aggressiveness of breast cancer (BC) and helps predict its prognosis. Accurate assessment of immunohistochemically (IHC) stained tissue sli
Externí odkaz:
http://arxiv.org/abs/2404.00837
Autor:
Alinaghi, Pouriya, Janssens, Martin, Choudhury, Goutam, Goren, Tom, Siebesma, A. Pier, Glassmeier, Franziska
Shallow trade cumuli over subtropical oceans are a persistent source of uncertainty in climate projections. Mesoscale organization of trade cumulus clouds has been shown to influence their cloud radiative effect (CRE) through cloud cover. We investig
Externí odkaz:
http://arxiv.org/abs/2309.08346
Autor:
İlhami Gulcin, Eda Mehtap Ozden, Muzaffer Mutlu, Ziba Mirzaee, Zeynebe Bingol, Ekrem Köksal, Saleh Alwasel, Ahmet C. Goren
Publikováno v:
Future Journal of Pharmaceutical Sciences, Vol 10, Iss 1, Pp 1-16 (2024)
Abstract Background This study investigated the antidiabetic and antioxidant properties of hemp seed oil using various bioanalytical methods. Furthermore, this study determined the suppressive properties of hemp seed oil on α-amylase, acetylcholines
Externí odkaz:
https://doaj.org/article/ebc34fa751684cefa780cb1c5fe9623f
A Generic Machine Learning Framework for Fully-Unsupervised Anomaly Detection with Contaminated Data
Anomaly detection (AD) tasks have been solved using machine learning algorithms in various domains and applications. The great majority of these algorithms use normal data to train a residual-based model and assign anomaly scores to unseen samples ba
Externí odkaz:
http://arxiv.org/abs/2308.13352
Autor:
Goren, Eyal Z., Love, Jonathan R.
Let $\mathcal{O}$ be a maximal order in the quaternion algebra over $\mathbb{Q}$ ramified at $p$ and $\infty$. We prove two theorems that allow us to recover the structure of $\mathcal{O}$ from limited information. The first says that for any infinit
Externí odkaz:
http://arxiv.org/abs/2307.16828
Autor:
Talwar, Kunal, Wang, Shan, McMillan, Audra, Jina, Vojta, Feldman, Vitaly, Bansal, Pansy, Basile, Bailey, Cahill, Aine, Chan, Yi Sheng, Chatzidakis, Mike, Chen, Junye, Chick, Oliver, Chitnis, Mona, Ganta, Suman, Goren, Yusuf, Granqvist, Filip, Guo, Kristine, Jacobs, Frederic, Javidbakht, Omid, Liu, Albert, Low, Richard, Mascenik, Dan, Myers, Steve, Park, David, Park, Wonhee, Parsa, Gianni, Pauly, Tommy, Priebe, Christian, Rishi, Rehan, Rothblum, Guy, Scaria, Michael, Song, Linmao, Song, Congzheng, Tarbe, Karl, Vogt, Sebastian, Winstrom, Luke, Zhou, Shundong
We revisit the problem of designing scalable protocols for private statistics and private federated learning when each device holds its private data. Locally differentially private algorithms require little trust but are (provably) limited in their u
Externí odkaz:
http://arxiv.org/abs/2307.15017