Results 131 to 140 of about 23,797 (211)

Mutual Information Based Learning Rate Decay for Stochastic Gradient Descent Training of Deep Neural Networks. [PDF]

Entropy (Basel), 2020
Vasudevan S.
europepmc   +1 more source

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

Advanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita, E. Palmieri, I. Lucarini, L. Montaina, L. Maiolo   +4 more
wiley   +1 more source

Stochastic gradient descent estimation of generalized matrix factorization models with application to single-cell RNA sequencing data. [PDF]

Biostatistics
Castiglione C, Segers A, Clement L, Risso D.   +3 more
europepmc   +1 more source

Dynamics of stochastic gradient descent for two-layer neural networks in the teacher-student setup. [PDF]

J Stat Mech, 2020
Goldt S, Advani MS, Saxe AM, Krzakala F, Zdeborová L.   +4 more
europepmc   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

A dual enhanced stochastic gradient descent method with dynamic momentum and step size adaptation for improved optimization performance. [PDF]

Sci Rep
Mokhtar MA, Fathy M, Dahab YA, Sayed EA.
europepmc   +1 more source

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

Advanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

Dual module- wider and deeper stochastic gradient descent and dropout based dense neural network for movie recommendation. [PDF]

Sci Rep
C K R, K C S, C K S.
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Efficient high-resolution refinement in cryo-EM with stochastic gradient descent. [PDF]

Acta Crystallogr D Struct Biol
Toader B, Brubaker MA, Lederman RR.
europepmc   +1 more source