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The information bottleneck method [PDF]
, 1999 We define the relevant information in a signal $x\in X$ as being the information that this signal provides about another signal $y\in \Y$. Examples include the information that face images provide about the names of the people portrayed, or the ...
Bialek, William +2 more
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High-Throughput Polar Code Decoders with Information Bottleneck Quantization [PDF]
EntropyIn digital baseband processing, the forward error correction (FEC) unit belongs to the most demanding components in terms of computational complexity and power consumption.
Claus Kestel +2 more
doaj +2 more sources
Information Bottleneck as Optimisation Method for SSVEP-Based BCI [PDF]
Frontiers in Human Neuroscience, 2021 In this study, the information bottleneck method is proposed as an optimisation method for steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI).
Anti Ingel, Raul Vicente
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Optimal Kullback-Leibler Aggregation via Information Bottleneck [PDF]
IEEE Transactions on Automatic Control, 2015 In this paper, we present a method for reducing a regular, discrete-time Markov chain (DTMC) to another DTMC with a given, typically much smaller number of states.
Geiger, Bernhard C. +3 more
core +4 more sources
State predictive information bottleneck [PDF]
The Journal of Chemical Physics, 2021 The ability to make sense of the massive amounts of high-dimensional data generated from molecular dynamics simulations is heavily dependent on the knowledge of a low-dimensional manifold (parameterized by a reaction coordinate or RC) that typically distinguishes between relevant metastable states, and which captures the relevant slow dynamics of ...
Dedi Wang, Pratyush Tiwary
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Recognizing Predictive Substructures With Subgraph Information Bottleneck [PDF]
IEEE Transactions on Pattern Analysis and Machine IntelligenceThe emergence of Graph Convolutional Network (GCN) has greatly boosted the progress of graph learning. However, two disturbing factors, noise and redundancy in graph data, and lack of interpretation for prediction results, impede further development of GCN.
Junchi Yu +5 more
openaire +5 more sources
Mining Causality via Information Bottleneck [PDF]
Jisuanji kexue, 2022 Causal discovery from observational data is a fundamental problem in many disciplines.However,existing methods such as constraint-based methods and causal function-based methods have strong assumptions on the causal mechanism of data,and are only ...
QIAO Jie, CAI Rui-chu, HAO Zhi-feng
doaj +1 more source
Efficient algorithms for quantum information bottleneck [PDF]
Quantum, 2023 The ability to extract relevant information is critical to learning. An ingenious approach as such is the information bottleneck, an optimisation problem whose solution corresponds to a faithful and memory-efficient representation of relevant information
Masahito Hayashi, Yuxiang Yang
doaj +1 more source
Multivariate Information Bottleneck [PDF]
Neural Computation, 2006 The information bottleneck (IB) method is an unsupervised model independent data organization technique. Given a joint distribution, p(X, Y), this method constructs a new variable, T, that extracts partitions, or clusters, over the values of X that are informative about Y. Algorithms that are motivated by the IB method have already been applied to text
Noam, Slonim +2 more
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Disentangled Information Bottleneck
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 The information bottleneck (IB) method is a technique for extracting information that is relevant for predicting the target random variable from the source random variable, which is typically implemented by optimizing the IB Lagrangian that balances the compression and prediction terms.
Pan, Ziqi +3 more
openaire +2 more sources