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Theory and Application of the Information Bottleneck Method [PDF]
EntropyIn 1999, Naftali Tishby et al [...]
Jan Lewandowsky, Gerhard Bauch
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Gaussian information bottleneck and the non-perturbative renormalization group [PDF]
New Journal of Physics, 2022 The renormalization group (RG) is a class of theoretical techniques used to explain the collective physics of interacting, many-body systems. It has been suggested that the RG formalism may be useful in finding and interpreting emergent low-dimensional ...
Adam G Kline, Stephanie E Palmer
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Learnability for the Information Bottleneck [PDF]
Entropy, 2019 The Information Bottleneck (IB) method provides an insightful and principled approach for balancing compression and prediction for representation learning. The IB objective I ( X ; Z ) - β I ( Y ; Z ) employs a Lagrange multiplier β
Tailin Wu +3 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
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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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Perturbation Theory for the Information Bottleneck. [PDF]
Adv Neural Inf Process Syst, 2021 NeurIPS ...
Ngampruetikorn V, Schwab DJ.
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Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates [PDF]
Frontiers in Computational NeuroscienceDeep neural feedforward networks are effective models for a wide array of problems, but training and deploying such networks presents a significant energy cost. Spiking neural networks (SNNs), which are modeled after biologically realistic neurons, offer
Kyle Daruwalla, Mikko Lipasti
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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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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
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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
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