Evidence map›Paper›PMID 37761653›Full record

ArticleEntropy (Basel, Switzerland)2023

Exact and Soft Successive Refinement of the Information Bottleneck.

Hippolyte Charvin, Nicola Catenacci Volpi, Daniel Polani

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hippolyte CharvinSchool of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK.ORCID 0000-0003-2563-0853
Nicola Catenacci VolpiSchool of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK.ORCID 0000-0002-0114-3041
Daniel PolaniSchool of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK.

Funding

Pazy Foundation ID 195
6 · The paper itself

Abstract

The information bottleneck (IB) framework formalises the essential requirement for efficient information processing systems to achieve an optimal balance between the complexity of their representation and the amount of information extracted about relevant features. However, since the representation complexity affordable by real-world systems may vary in time, the processing cost of updating the representations should also be taken into account. A crucial question is thus the extent to which adaptive systems can

Indexed as

Blackwell ordercoarse-grainingdeep learningincremental learninginformation bottlenecksuccessive refinementunique information

Identifiers

PMID37761653
PMCPMC10528077

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.