Results 41 to 50 of about 333,329 (255)
The Information Bottleneck and Geometric Clustering [PDF]
Neural Computation, 2019 The information bottleneck (IB) approach to clustering takes a joint distribution [Formula: see text] and maps the data [Formula: see text] to cluster labels [Formula: see text], which retain maximal information about [Formula: see text] (Tishby, Pereira, & Bialek, 1999 ).
Strouse, Daniel J., Schwab, David J.
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Information Bottleneck Classification in Extremely Distributed Systems
Entropy, 2020 We present a new decentralized classification system based on a distributed architecture. This system consists of distributed nodes, each possessing their own datasets and computing modules, along with a centralized server, which provides probes to ...
Denis Ullmann +5 more
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Sequential Invariant Information Bottleneck
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 Previous approaches to the problem of generalization for out-of-distribution (OOD) data usually assume that data from each environment is available simultaneously, which is unrealistic in real-world applications. In this paper, we develop a new framework termed the sequential invariant information bottleneck (seq-IIB) to improve the generalization ...
Zhang, Yichen, Yu, Shujian, Chen, Badong
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Towards socially adaptive robots : A novel method for real time recognition of human-robot interaction styles [PDF]
, 2009 “This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders.
Dautenhahn, K., Francois, D., Polani, D.
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Information Bottleneck Approach to Predictive Inference
Entropy, 2014 This paper synthesizes a recent line of work on automated predictive model making inspired by Rate-Distortion theory, in particular by the Information Bottleneck method. Predictive inference is interpreted as a strategy for efficient communication.
Susanne Still
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Bottleneck Problems: An Information and Estimation-Theoretic View
Entropy, 2020 Information bottleneck (IB) and privacy funnel (PF) are two closely related optimization problems which have found applications in machine learning, design of privacy algorithms, capacity problems (e.g., Mrs.
Shahab Asoodeh, Flavio P. Calmon
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Discrete BP Polar Decoder Using Information Bottleneck Method
IEEE Access, 2021 Polar code is one of the channel codes and is used in the 5th generation of mobile communication system (5G). This encoding scheme is based on the operation of channel polarization, and it is possible to achieve the capacity of arbitrary binary-input ...
Akira Yamada, Tomoaki Ohtsuki
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Asymptotic Sum-Capacity of Random Gaussian Interference Networks Using Interference Alignment [PDF]
, 2010 We consider a dense n-user Gaussian interference network formed by paired transmitters and receivers placed independently at random in Euclidean space.
Aldridge, Matthew +2 more
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Entropy, 2020 Intuitively, one way to make classifiers more robust to their input is to have them depend less sensitively on their input. The Information Bottleneck (IB) tries to learn compressed representations of input that are still predictive.
Ian Fischer, Alexander A. Alemi
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The color of smiling: computational synaesthesia of facial expressions [PDF]
, 2015 This note gives a preliminary account of the transcoding or rechanneling problem between different stimuli as it is of interest for the natural interaction or affective computing fields. By the consideration of a simple example, namely the color response
C Spence +15 more
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