The unreasonable effectiveness of small neural ensembles in
high-dimensional brain

The unreasonable effectiveness of small neural ensembles in high-dimensional brain

20 September 2018

A. N. Gorban

Papers citing "The unreasonable effectiveness of small neural ensembles in high-dimensional brain"

16 / 16 papers shown

Title
A Mathematical Framework for the Problem of Security for Cognition in Neurotechnology Bryce Allen Bagley Claudia K Petritsch 93 0 0 28 Jan 2025
Correction of AI systems by linear discriminants: Probabilistic foundations A. N. Gorban A. Golubkov Bogdan Grechuk E. M. Mirkes I. Tyukin 25 63 0 11 Nov 2018
Augmented Artificial Intelligence: a Conceptual Framework Alexander N. Gorban Bogdan Grechuk I. Tyukin 33 13 0 06 Feb 2018
Blessing of dimensionality: mathematical foundations of the statistical physics of data A. N. Gorban I. Tyukin 62 149 0 10 Jan 2018
Knowledge Transfer Between Artificial Intelligence Systems I. Tyukin A. Gorban Konstantin I. Sofeikov I. Romanenko 30 31 0 05 Sep 2017
Stochastic Separation Theorems A. N. Gorban I. Tyukin 53 50 0 03 Mar 2017
One-Trial Correction of Legacy AI Systems and Stochastic Separation Theorems Alexander N. Gorban I. Romanenko Richard Burton I. Tyukin 54 29 0 03 Oct 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 150 7,482 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 370 13,143 0 12 Mar 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,525 0 01 Sep 2014
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures Joseph Anderson M. Belkin Navin Goyal Luis Rademacher James R. Voss 123 93 0 12 Nov 2013
Data complexity measured by principal graphs A. Zinovyev Evgeny Mirkes 63 25 0 23 Dec 2012
Principal manifolds and graphs in practice: from molecular biology to dynamical systems A. N. Gorban A. Zinovyev 105 140 0 07 Jan 2010
Observed Universality of Phase Transitions in High-Dimensional Geometry, with Implications for Modern Data Analysis and Signal Processing D. Donoho Jared Tanner 85 464 0 14 Jun 2009