Results 51 to 60 of about 333,329 (255)
The Mathematical Structure of Information Bottleneck Methods
Entropy, 2012 Information Bottleneck-based methods use mutual information as a distortion function in order to extract relevant details about the structure of a complex system by compression. One of the approaches used to generate optimal compressed representations is
Albert E. Parker +2 more
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Information-Optimum LDPC Decoders Based on the Information Bottleneck Method
IEEE Access, 2018 The Information Bottleneck method is a powerful and generic tool from the field of machine learning. It compresses an observation to a quantized variable while attempting to preserve the mutual information shared with a relevant random variable.
Jan Lewandowsky, Gerhard Bauch
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Adversarial Information Bottleneck
IEEE Transactions on Neural Networks and Learning Systems10 pages,7 figures,2 ...
Penglong Zhai, Shihua Zhang
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, 2020 Representation learning of graph-structured data is challenging because both graph structure and node features carry important information. Graph Neural Networks (GNNs) provide an expressive way to fuse information from network structure and node features. However, GNNs are prone to adversarial attacks.
Wu, Tailin +3 more
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Information Bottleneck: Theory and Applications in Deep Learning
Entropy, 2020 The information bottleneck (IB) framework, proposed in [...]
Bernhard C. Geiger, Gernot Kubin
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Supplier Bottleneck and Information Dissemination
SSRN Electronic Journal, 2019 AbstractThis paper investigates the capacity decisions of complementary suppliers who produce different components of a final product. The suppliers solicit private forecast information from a buyer who has more precise information regarding the market as compared to the suppliers.
Meng Li, Yue Li, Yang Zhang
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From the Information Bottleneck to the Privacy Funnel
, 2014 We focus on the privacy-utility trade-off encountered by users who wish to disclose some information to an analyst, that is correlated with their private data, in the hope of receiving some utility.
Fawaz, Nadia +3 more
core +1 more source
The Conditional Entropy Bottleneck
Entropy, 2020 Much of the field of Machine Learning exhibits a prominent set of failure modes, including vulnerability to adversarial examples, poor out-of-distribution (OoD) detection, miscalibration, and willingness to memorize random labelings of datasets.
Ian Fischer
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Multivariate Information Bottleneck
, 2013 Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001)
Friedman, Nir +3 more
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Molecular Oncology, EarlyView.The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués +3 more
wiley +1 more source