Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes.
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Fast automated analysis of strong gravitational lenses with convolutional neural networks.Explorability and the origin of network sparsity in living systems.Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory.Efficiency of quantum vs. classical annealing in nonconvex learning problems.Dual time scales in simulated annealing of a two-dimensional Ising spin glass.Optimization of neural networks via finite-value quantum fluctuations.Modelling Self-Organization in Complex Networks Via a Brain-Inspired Network Automata Theory Improves Link Reliability in Protein Interactomes
P2860
Q38600112-D3AACCDA-7A78-4AD1-AEDC-B667C27ACAEEQ41958990-B8C44847-0C63-41C7-B744-DEAFE49B7F8BQ47867878-3CC99348-4BC8-4D51-9D66-B6505FF3DB99Q48043060-786B084D-DC6D-4EFB-91FF-69F355FC7E12Q50583039-5CB15752-994B-4EF4-99B7-D9AE77BB42F0Q55517651-9C25C8AD-8904-4198-8C12-3082A3B881A3Q58563183-F62E693C-D8BE-49A5-B015-CB552B3A527E
P2860
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
Unreasonable effectiveness of ...... to basic algorithmic schemes.
@en
Unreasonable effectiveness of ...... to basic algorithmic schemes.
@nl
type
label
Unreasonable effectiveness of ...... to basic algorithmic schemes.
@en
Unreasonable effectiveness of ...... to basic algorithmic schemes.
@nl
prefLabel
Unreasonable effectiveness of ...... to basic algorithmic schemes.
@en
Unreasonable effectiveness of ...... to basic algorithmic schemes.
@nl
P2093
P2860
P50
P356
P1476
Unreasonable effectiveness of ...... to basic algorithmic schemes.
@en
P2093
Alessandro Ingrosso
Christian Borgs
Jennifer T Chayes
Luca Saglietti
P2860
P304
E7655-E7662
P356
10.1073/PNAS.1608103113
P407
P577
2016-11-15T00:00:00Z
P698
P818
1605.06444