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lti-ica

Independent Component Analysis in Linear Time-Invariant Systems

https://github.com/rpatrik96/lti-ica

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
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    Academic publication links
    Links to: arxiv.org
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    Scientific vocabulary similarity
    Low similarity (8.2%) to scientific vocabulary

Keywords

artificial-intelligence causal-inference causality control-systems gaussian identifiability identification lti machine-learning machine-learning-algorithms representation-learning
Last synced: 6 months ago · JSON representation ·

Repository

Independent Component Analysis in Linear Time-Invariant Systems

Basic Info
  • Host: GitHub
  • Owner: rpatrik96
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 139 KB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
artificial-intelligence causal-inference causality control-systems gaussian identifiability identification lti machine-learning machine-learning-algorithms representation-learning
Created over 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

# An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis [![Paper](http://img.shields.io/badge/arxiv-cs.LG:2311.18048-B31B1B.svg)](https://arxiv.org/abs/2311.18048) [![Conference](http://img.shields.io/badge/CI4TS@UAI-2023.svg)](https://sites.google.com/view/ci4ts2023/accepted-papers?authuser=0) ![CI testing](https://github.com/rpatrik96/lti-ica/workflows/CI%20testing/badge.svg?branch=main&event=push)

Description

We connect the ICA and dynamical systems perspectives on identifiability by showing that for Gaussian Linear Time-Invariant (LTI) systems, experiment design (i.e., introducing agency via prescribing sufficiently varying control signals/interventions) enables identifiability in an active manner.

How to run

First, install dependencies
```bash

clone lti-ica

git clone --recurse-submodules https://github.com/rpatrik96/lti-ica

install lti-ica

cd lti-ica pip install -e .
pip install -r requirements.txt

install submodule requirements

pip install --requirement tests/requirements.txt --quiet

install pre-commit hooks (only necessary for development)

pre-commit install ```

Citation

```

@inproceedings{ rajendran2023interventional, title={An Interventional Perspective on Identifiability in Gaussian {LTI} Systems with Independent Component Analysis}, author={Goutham Rajendran and Patrik Reizinger and Wieland Brendel and Pradeep Kumar Ravikumar}, booktitle={UAI 2023 Workshop on Causal inference for time series data}, year={2023}, }

```

Owner

  • Name: Patrik Reizinger
  • Login: rpatrik96
  • Kind: user
  • Location: Germany
  • Company: IMPRS-IS, ELLIS

PhD student at IMPRS-IS (University of Tübingen) and ELLIS. Looking into causality and representation learning.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Rajendran"
  given-names: "Goutham"
- family-names: "Reizinger"
  given-names: "Patrik"
  orcid: "https://orcid.org/0000-0001-9861-0293"
- family-names: "Brendel"
  given-names: "Wieland"
  orcid: "https://orcid.org/0000-0003-0982-552X"
- family-names: "Ravikumar"
  given-names: "Pradeep Kumar"
title: "lti-ica"
version: 1.0.0
doi:
date-released: 2023-07-31
url: "https://github.com/rpatrik96/lti-ica"

GitHub Events

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Committers

Last synced: 9 months ago

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  • Total Commits: 199
  • Total Committers: 1
  • Avg Commits per committer: 199.0
  • Development Distribution Score (DDS): 0.0
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  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
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Patrik Reizinger p****7@g****m 199

Issues and Pull Requests

Last synced: 9 months ago

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  • Total issues: 0
  • Total pull requests: 34
  • Average time to close issues: N/A
  • Average time to close pull requests: 15 minutes
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 34
  • Bot issues: 0
  • Bot pull requests: 0
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  • rpatrik96 (18)
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Dependencies

.github/workflows/ci-testing.yml actions
  • actions/cache v3 composite
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
requirements.txt pypi
  • control *
  • numpy *
  • pandas *
  • scipy *
  • setuptools *
  • torch *
setup.py pypi
tests/requirements.txt pypi
  • black * test
  • check-manifest * test
  • codecov * test
  • coverage * test
  • flake8 * test
  • mypy * test
  • pytest * test
  • pytest-cov * test
  • pytest-flake8 * test