Results 211 to 220 of about 142,362 (315)

The Regularization Effects of Anisotropic Noise in Stochastic Gradient Descent [PDF]

, 2018
Zhanxing Zhu, Jingfeng Wu, Bing Yu, Lei Wu, Jinwen Ma   +4 more
openalex  

A stochastic gradient descent algorithm to maximize power utility of large credit portfolios under Marshall–Olkin dependence

, 2023
Jan-Frederik Mai, Aleksandra Blagoeva, Matthias Scherer, Allianz Private Krankenversicherungs-AG, Koeniginstr. 28, 80802 München, Germany, Technische Universität München, Parkring 11, 85748 Garching-Hochbrück, Germany   +4 more
openalex   +2 more sources

Dual Bipolar Resistive Switching in Wafer‐Scalable 2D Perovskite Oxide Nanosheets‐Based Memristor

Advanced Science, EarlyView.
A wafer‐scalable memristor based on 2D Sr2Nb3O₁₀ perovskite oxide nanosheets exhibits dual bipolar resistive switching through controllable oxygen ion migration and redox reactions. This single device enables both STDP and anti‐STDP synaptic functions, achieving 86.4% MNIST accuracy in supervised spiking neural networks, offering a compact, energy ...
Sohwi Kim, Chansoo Yoon, Haena Yim, Taeyoon Kim, Hoyoung Suh, Woohyeon Ryu, Gwangtaek Oh, Jihoon Jeon, Kwanyoung Oh, Yeonjoo Jeong, Ji‐Won Choi, Bae Ho Park   +11 more
wiley   +1 more source

MR‐DELTAnet: A Longitudinal MRI‐Transformer Model Predicting Pathological Complete Response and Revealing Immune Microenvironment via scRNA‐seq in Locally Advanced Rectal Cancer

Advanced Science, EarlyView.
The MR‐DELTAnet model utilizes longitudinal MRI to predict treatment response after neoadjuvant chemoradiotherapy in locally rectal cancer patients, accurately identifying patients likely to achieve pathological complete response for personalized management.
Wuteng Cao, Huaxian Chen, Jiao Li, Yihui Zheng, Liqing Xie, Guozhong Xiao, Zeyan Wang, Fen Yuan, Junhong Chen, Chongbao Sun, Jing Dai, Jinping Zeng, Xinhua Wang, Lei Wu, Hongcheng Lin   +14 more
wiley   +1 more source

Semi-Stochastic Gradient Descent Methods [PDF]

, 2013
Jakub Konečný, Peter Richtárik
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Streaming regularization parameter selection via stochastic gradient descent [PDF]

, 2015
Ricardo Pio Monti, Romy Lorenz, Robert Leech, Christoforos Anagnostopoulos, Giovanni Montana   +4 more
openalex   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

Advanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi, Yingzhu Tan, Huikang Lin, Guoqing Zhang, Ye Tian, Aibo Wu   +5 more
wiley   +1 more source

Single‐Cell Mitochondrial Lineage Tracing Decodes Fate Decision and Spatial Clonal Architecture in Human Hematopoietic Organoids

Advanced Science, EarlyView.
This study repurposes mitochondrial DNA mutations as endogenous barcodes for lineage tracing in human pluripotent stem cell‐derived organoids. Integrated with transcriptomic and spatial data, it reveals NOTCH‐mediated stromal‐progenitor crosstalk orchestrates clonal dynamics and spatial zonation during early hematopoietic development, offering a non ...
Yan Xue, Junhao Su, Yiming Chao, Lu Liu, Xinyi Lin, Yang Xiang, Mun Kay Ho, Zezhuo Su, Junyi Chen, Zhuojuan Luo, Chengqi Lin, Ruibang Luo, Theo Aurich, Jianfeng Wu, Kelvin Sin Chi Cheung, Yuanhua Huang, Joshua W. K. Ho, Ryohichi Sugimura   +17 more
wiley   +1 more source

Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models [PDF]

, 2019
Yunfei Teng, Wenbo Gao, François Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller   +5 more
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Distributed active phase-locking of an all-fiber structured laser array by a stochastic parallel gradient descent (SPGD) algorithm

, 2021
Hongxiang Chang, Rongtao Su, Jinhu Long, Qi Chang, Pengfei Ma, Yanxing Ma, Pu Zhou   +6 more
openalex   +1 more source