On the principles of Parsimony and Self-consistency for the emergence of intelligence
出版年份 2022 全文链接
标题
On the principles of Parsimony and Self-consistency for the emergence of intelligence
作者
关键词
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出版物
Frontiers of Information Technology & Electronic Engineering
Volume -, Issue -, Pages -
出版商
Zhejiang University Press
发表日期
2022-08-12
DOI
10.1631/fitee.2200297
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- (2022) Xili Dai et al. Entropy
- Place cells may simply be memory cells: Memory compression leads to spatial tuning and history dependence
- (2021) Marcus K. Benna et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Memory engrams: Recalling the past and imagining the future
- (2020) Sheena A. Josselyn et al. SCIENCE
- Efficient inverse graphics in biological face processing
- (2020) Ilker Yildirim et al. Science Advances
- A map of object space in primate inferotemporal cortex
- (2020) Pinglei Bao et al. NATURE
- Normalizing Flows: An Introduction and Review of Current Methods
- (2020) Ivan Kobyzev et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Reconciling modern machine-learning practice and the classical bias–variance trade-off
- (2019) Mikhail Belkin et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Grandmaster level in StarCraft II using multi-agent reinforcement learning
- (2019) Oriol Vinyals et al. NATURE
- On the information bottleneck theory of deep learning
- (2019) Andrew M Saxe et al. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
- Theoretical Foundations of Deep Learning via Sparse Representations: A Multilayer Sparse Model and Its Connection to Convolutional Neural Networks
- (2018) Vardan Papyan et al. IEEE SIGNAL PROCESSING MAGAZINE
- A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
- (2018) Thomas Wiatowski et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- Predictive Processing: A Canonical Cortical Computation
- (2018) Georg B. Keller et al. NEURON
- Mastering the game of Go without human knowledge
- (2017) David Silver et al. NATURE
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- PCANet: A Simple Deep Learning Baseline for Image Classification?
- (2015) Tsung-Han Chan et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Invariant Scattering Convolution Networks
- (2013) Joan Bruna et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Robust principal component analysis?
- (2011) Emmanuel J. Candès et al. JOURNAL OF THE ACM
- Functional specificity in the human brain: A window into the functional architecture of the mind
- (2010) N. Kanwisher PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The free-energy principle: a rough guide to the brain?
- (2009) Karl Friston TRENDS IN COGNITIVE SCIENCES
- Matching Categorical Object Representations in Inferior Temporal Cortex of Man and Monkey
- (2008) Nikolaus Kriegeskorte et al. NEURON
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