Zobrazeno 1 - 10
of 1 212
pro vyhledávání: '"Kim, Chris"'
Autor:
Cılasun, Hüsrev, Zeng, Ziqing, S, Ramprasath, Kumar, Abhimanyu, Lo, Hao, Cho, William, Kim, Chris H., Karpuzcu, Ulya R., Sapatnekar, Sachin S.
This work solves 3SAT, a classical NP-complete problem, on a CMOS-based Ising hardware chip with all-to-all connectivity. The paper addresses practical issues in going from algorithms to hardware. It considers several degrees of freedom in mapping th
Externí odkaz:
http://arxiv.org/abs/2309.11017
Autor:
Harter, Aspen M.1 (AUTHOR), Kim, Chris1 (AUTHOR), Yamazaki, Anna1 (AUTHOR), Lee, Luca1 (AUTHOR), Ji, Michelle T.1 (AUTHOR), Nemesh, Mariya1 (AUTHOR), Redei, Eva E.1 (AUTHOR) e-redei@northwestern.edu
Publikováno v:
Genes, Brain & Behavior. Oct2024, Vol. 23 Issue 5, p1-14. 14p.
Variational autoencoders employ an amortized inference model to approximate the posterior of latent variables. However, such amortized variational inference faces two challenges: (1) the limited posterior expressiveness of fully-factorized Gaussian a
Externí odkaz:
http://arxiv.org/abs/2211.17267
Continually learning in the real world must overcome many challenges, among which noisy labels are a common and inevitable issue. In this work, we present a repla-ybased continual learning framework that simultaneously addresses both catastrophic for
Externí odkaz:
http://arxiv.org/abs/2110.07735
Continual learning from a sequential stream of data is a crucial challenge for machine learning research. Most studies have been conducted on this topic under the single-label classification setting along with an assumption of balanced label distribu
Externí odkaz:
http://arxiv.org/abs/2009.03632
Autor:
Li, Shuling, Suehs, Brandon T., Fu, Alan, Sangaré, Laura, Kim, Chris, Gastanaga, Victor M., Liu, Jiannong, Yan, Heng, Xu, Yihua, Mikhael, Joseph
Publikováno v:
In Clinical Lymphoma, Myeloma and Leukemia August 2023 23(8):616-625
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Zand, Ramtin, Camsari, Kerem Yunus, Pyle, Steven D., Ahmed, Ibrahim, Kim, Chris H., DeMara, Ronald F.
A low-energy hardware implementation of deep belief network (DBN) architecture is developed using near-zero energy barrier probabilistic spin logic devices (p-bits), which are modeled to realize an intrinsic sigmoidal activation function. A CMOS/spin
Externí odkaz:
http://arxiv.org/abs/1710.00249
Autor:
Khatamifard, S. Karen, Chowdhury, Zamshed, Pande, Nakul, Razaviyayn, Meisam, Kim, Chris, Karpuzcu, Ulya R.
DNA sequencing is the physical/biochemical process of identifying the location of the four bases (Adenine, Guanine, Cytosine, Thymine) in a DNA strand. As semiconductor technology revolutionized computing, modern DNA sequencing technology (termed Nex
Externí odkaz:
http://arxiv.org/abs/1709.02381
Generative Adversarial Networks have become one of the most studied frameworks for unsupervised learning due to their intuitive formulation. They have also been shown to be capable of generating convincing examples in limited domains, such as low-res
Externí odkaz:
http://arxiv.org/abs/1612.04021