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Vector Quantization (VQ) is a method for discretizing latent representations and has become a major part of the deep learning toolkit.
Some methods for classification and analysis of multivariate observations
MacQueen, J. et al · 1967
Earlier work this paper cites.
Vector Quantization and Signal Compression
Gersho, A. and Gray, R. M. (eds.) · 1991
Earlier work this paper cites.
Global discretization of continuous attributes as preprocessing for machine learning
Chmielewski, M. R. and Grzymala-Busse, J. W · 1996
Earlier work this paper cites.
Automatic modularization by speciation
Darwen, P. and Yao, X · 1996
Earlier work this paper cites.
Multiagent learning through collective memory
Garland, A. and Alterman, R · 1996
Earlier work this paper cites.
Weak Convergence and Empirical Processes
van der Vaart, A. W. and Wellner, J. A · 1996
Earlier work this paper cites.
Elevator group control using multiple reinforcement learning agents
Crites, R. H. and Barto, A. G · 1998
Earlier work this paper cites.
Crafting papers on machine learning
Langley, P · 2000
Earlier work this paper cites.
The information bottleneck method
Tishby, N., Pereira, F. C., and Bialek, W · 2000
Earlier work this paper cites.
Elements of Information Theory
Cover, T. M. and Thomas, J. A. (eds.) · 2006
Earlier work this paper cites.
Distributed coordination architecture for multi-robot formation control
Ren, W. and Sorensen, N · 2007
Earlier work this paper cites.
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Oliehoek, F. A., Spaan, M. T. J., and Vlassis, N · 2008
Earlier work this paper cites.
Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
Koller, D. and Friedman, N · 2009
Earlier work this paper cites.
Multi-agent systems in a distributed smart grid: Design and implementation
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Earlier work this paper cites.
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Scardovi, L. and Sepulchre, R · 2009
Earlier work this paper cites.
Network topology and communication data rate for consensusability of discrete-time multi-agent systems
You, K. and Xie, L · 2011
Earlier work this paper cites.
Consensus in multi-agent systems with communication constraints
Wen, G., Duan, Z., Yu, W., and Chen, G · 2012
Earlier work this paper cites.
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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Later among the works it cites.
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Cited alongside, same era.
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Cited alongside, same era.
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Later among the works it cites.
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