Zobrazeno 1 - 10
of 646
pro vyhledávání: '"Hershcovitch, A."'
Autor:
Hershcovitch, Moshik, Choshen, Leshem, Wood, Andrew, Enmouri, Ilias, Chin, Peter, Sundararaman, Swaminathan, Harnik, Danny
With the growth of model sizes and scale of their deployment, their sheer size burdens the infrastructure requiring more network and more storage to accommodate these. While there is a vast literature about reducing model sizes, we investigate a more
Externí odkaz:
http://arxiv.org/abs/2404.15198
Key-value stores typically leave access control to the systems for which they act as storage engines. Unfortunately, attackers may circumvent such read access controls via timing attacks on the key-value store, which use differences in query response
Externí odkaz:
http://arxiv.org/abs/2306.04602
Autor:
Quinzan, Francesco, Khanna, Rajiv, Hershcovitch, Moshik, Cohen, Sarel, Waddington, Daniel G., Friedrich, Tobias, Mahoney, Michael W.
We study the fundamental problem of selecting optimal features for model construction. This problem is computationally challenging on large datasets, even with the use of greedy algorithm variants. To address this challenge, we extend the adaptive qu
Externí odkaz:
http://arxiv.org/abs/2202.13718
Autor:
Wood, Andrew, Hershcovitch, Moshik, Waddington, Daniel, Cohen, Sarel, Wolf, Meredith, Suh, Hongjun, Zong, Weiyu, Chin, Peter
Dimensionality reduction algorithms are standard tools in a researcher's toolbox. Dimensionality reduction algorithms are frequently used to augment downstream tasks such as machine learning, data science, and also are exploratory methods for underst
Externí odkaz:
http://arxiv.org/abs/2202.11518
Bayesian inference allows machine learning models to express uncertainty. Current machine learning models use only a single learnable parameter combination when making predictions, and as a result are highly overconfident when their predictions are w
Externí odkaz:
http://arxiv.org/abs/2202.10522
MCAS (Memory Centric Active Storage) is a persistent memory tier for high-performance durable data storage. It is designed from the ground-up to provide a key-value capability with low-latency guarantees and data durability through memory persistence
Externí odkaz:
http://arxiv.org/abs/2104.06225
The advent of CPU-attached persistent memory technology, such as Intel's Optane Persistent Memory Modules (PMM), has brought with it new opportunities for storage. In 2018, IBM Research Almaden began investigating and developing a new enterprise-grad
Externí odkaz:
http://arxiv.org/abs/2103.00007
Autor:
Sarel Cohen, Moshik Hershcovitch, Martin Taraz, Otto Kißig, Davis Issac, Andrew Wood, Daniel Waddington, Peter Chin, Tobias Friedrich
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0266572 (2023)
The active global SARS-CoV-2 pandemic caused more than 426 million cases and 5.8 million deaths worldwide. The development of completely new drugs for such a novel disease is a challenging, time intensive process. Despite researchers around the world
Externí odkaz:
https://doaj.org/article/7c858f7c1a3741eab9b7a3c4c89ca4ba
Autor:
Cohen, Sarel1 (AUTHOR), Hershcovitch, Moshik2 (AUTHOR), Taraz, Martin3 (AUTHOR), Kißig, Otto3 (AUTHOR), Issac, Davis3 (AUTHOR) davisissac22@gmail.com, Wood, Andrew4 (AUTHOR), Waddington, Daniel5 (AUTHOR), Chin, Peter4 (AUTHOR), Friedrich, Tobias3 (AUTHOR)
Publikováno v:
PLoS ONE. 3/16/2023, Vol. 17 Issue 3, p1-13. 13p.
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