Paper Citation Record · LEDGER

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration

As of 22 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.18568.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.18568 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:05:01.519486Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation 2c2d0697-e5c3-4798-a07b-287190e527d1 · outbound

This paper cites Anderson.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Anderson

Reference 1

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Observation ecee75d8-8138-4b26-9fac-5b962f41b532 · outbound

This paper cites Walker and Peng Ni.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Walker and Peng Ni

Reference 2

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Observation 4a6dabc8-c541-4d52-98a0-efd5835b3522 · outbound

This paper cites A group model for stable multi-subject ICA on fMRI datasets.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration A group model for stable multi-subject ICA on fMRI datasets

Reference 3

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Observation 427f4195-b101-435a-8ec5-97409087c0f3 · outbound

This paper cites Independent EEG sources are dipolar.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Independent EEG sources are dipolar

Reference 4

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Observation f22d3196-ccbc-437e-9e3e-61132953604a · outbound

This paper cites Pearlson, Jingyu Liu, and Vince D.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Pearlson, Jingyu Liu, and Vince D

Reference 5

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Observation bc1311a9-6406-478f-be94-a84e4626434c · outbound

This paper cites Rutledge and D.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Rutledge and D

Reference 6

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Observation 0ef8233a-4e8f-4dce-8495-fd1009e26602 · outbound

This paper cites Application of independent component analysis to microarrays.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Application of independent component analysis to microarrays

Reference 7

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Observation 1f4c2da7-dc91-487e-ab0b-4858e9b01ffe · outbound

This paper cites Scholz, S.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Scholz, S

Reference 8

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Observation 0a130217-63f8-4713-b55a-ed325a8fa650 · outbound

This paper cites Blind separation of noisy gaussian stationary sources.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Blind separation of noisy gaussian stationary sources

Reference 9

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This paper cites Separation of earthquake and hydrology signals from GRACE satellites data via independent component analysis: a case study in the sumatra region.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Separation of earthquake and hydrology signals from GRACE satellites data via independent component analysis: a case study in the sumatra region

Reference 10

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Observation 6aae02b7-5311-4888-ae17-1ef180676a4f · outbound

This paper cites WordICA—emergence of linguistic representations for words by independent component analysis.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration WordICA—emergence of linguistic representations for words by independent component analysis

Reference 11

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Observation 305cad91-6f39-4bdc-86e3-db6a4b7ad3d6 · outbound

This paper cites Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning

Reference 12

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Observation 156cfb68-5da5-408c-85b8-e1aebb96dc48 · outbound

This paper cites PyLossless: A non-destructive EEG processing pipeline.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration PyLossless: A non-destructive EEG processing pipeline

Reference 13

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Observation b8e9e614-eedb-42d0-bff1-64427df8ccae · outbound

This paper cites Vigario, J.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Vigario, J

Reference 14

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Observation 82e683c4-9b6c-41b0-9801-4515de8bbefc · outbound

This paper cites AMICA: An adaptive mixture of independent component analyzers with shared components.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration AMICA: An adaptive mixture of independent component analyzers with shared components

Reference 15

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This paper cites Comparison of the AMICA and the InfoMax algorithm for the reduction of electromyogenic artifacts in EEG data.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Comparison of the AMICA and the InfoMax algorithm for the reduction of electromyogenic artifacts in EEG data

Reference 16

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This paper cites Bell and Terrence J.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Bell and Terrence J

Reference 17

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Observation 5878a0e2-b7db-4b00-a417-2e51187fe333 · outbound

This paper cites Sejnowski.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Sejnowski

Reference 18

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Observation 014aed2c-4b2a-44b3-8709-54f7cc242c85 · outbound

This paper cites Orthogonal extended infomax algorithm.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Orthogonal extended infomax algorithm

Reference 19

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Observation 1e878d51-441f-4695-9454-a554e2f56125 · outbound

This paper cites Lewicki, and T.J.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Lewicki, and T.J

Reference 20

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Observation d09c39c4-ed2c-4c66-aa49-0e9e172e8944 · outbound

This paper cites Caveats with stochastic gradient and maximum likelihood based ICA for EEG.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Caveats with stochastic gradient and maximum likelihood based ICA for EEG

Reference 21

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This paper cites Hyvärinen and E.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Hyvärinen and E

Reference 22

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This paper cites Faster independent component analysis by preconditioning with Hessian approximations.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Faster independent component analysis by preconditioning with Hessian approximations

Reference 23

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Observation ff4ad7cc-bcc0-4ced-956a-0994a4c75f1f · outbound

This paper cites Stability analysis of learning algorithms for blind source separation.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Stability analysis of learning algorithms for blind source separation

Reference 24

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This paper cites Palmer, Kenneth Kreutz-Delgado, and Scott Makeig.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Palmer, Kenneth Kreutz-Delgado, and Scott Makeig

Reference 25

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This paper cites Reimplementation of amica in julia.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Reimplementation of amica in julia

Reference 28

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This paper cites EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

Reference 29

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AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Pedregosa, G

Reference 30

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This paper cites Spectral independent component analysis with noise modeling for m/EEG source separation.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Spectral independent component analysis with noise modeling for m/EEG source separation

Reference 31

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This paper cites Engemann, Daniel Strohmeier, Christian Brodbeck, Lauri Parkkonen, and Matti S.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Engemann, Daniel Strohmeier, Christian Brodbeck, Lauri Parkkonen, and Matti S

Reference 32

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AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Harris, K

Reference 33

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AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Oliphant, Matt Haberland, T yler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J

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AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Data structures for statistical computing in python

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This paper cites Polars: Extremely fast query engine for dataframes, written in rust.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Polars: Extremely fast query engine for dataframes, written in rust

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AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Palmer, Kenneth Kreutz-Delgado, and Scott Makeig

Reference 37

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This paper cites Modeling brain dynamic state changes with adaptive mixture independent component analysis.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Modeling brain dynamic state changes with adaptive mixture independent component analysis

Reference 38

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AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Acceleration methods for fixed-point iterations

Reference 39

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AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Simple and Globally Convergent Methods for Accelerating the Convergence of Any EM Algorithm

Reference 40

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AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Henderson and Ravi Varadhan

Reference 41

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This paper cites Damped anderson mixing for deep reinforcement learning: Acceleration, convergence, and stabilization.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Damped anderson mixing for deep reinforcement learning: Acceleration, convergence, and stabilization

Reference 42

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AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Anderson acceleration for fixed-point iterations

Reference 43

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This paper cites Python array API standard: Toward array interoperability in the scientific python ecosystem.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration Python array API standard: Toward array interoperability in the scientific python ecosystem

Reference 44

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This paper cites URL https://doi.org/10.1137/10078356X.

AMICA-Python: Adaptive Mixture Independent Component Analysis with Anderson Acceleration URL https://doi.org/10.1137/10078356X

Reference 2011

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Pith citing papers

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