MatthewWilletts/algostability

Code for the Pre-print 'I don't need u'

I Don’t Need u: Identifiable Non-Linear ICA Without Side Information

Dependencies

This repository contains code to run and reproduce the experiments presented in I Don't Need u: Identifiable Non-Linear ICA Without Side Information

Dependencies

We include a requirements.txt

Running experiments

These experiments are run through the script main.py. Below are details on how to use the script. To learn about its arguments type python main.py --help:

usage: main.py [-h] [--config CONFIG] [--run RUN] [--n-sims N_SIMS]
               [--seed SEED] [--baseline] [--representation] [-z]
               [--mcc] [--second-seed SECOND_SEED] [--all] [--plot]

optional arguments:
  -h, --help            show this help message and exit
  --config CONFIG       Path to the config file
  --run RUN             Path for saving running related data.
  --n-sims N_SIMS       Number of simulations to run
  --seed SEED           Random seed
  --z dim z             Dimensionality of Latent Space
  --baseline            Run the script for the baseline
  --representation      Run CCA representation validation across multiple
                        seeds
  --mcc                 compute MCCs for representation
                        experiments
  --second-seed SECOND_SEED
                        Second random seed for computing MCC for representation experiments
  --all                 Run transfer learning experiment for many seeds and
                        subset sizes
  --plot                Plot selected experiment for the selected dataset

All options and choice of dataset are passed through a configuration file under the configs folder.

To run all the image data experiments in the paper, simply run the shell script experiments.sh, though this is set up to run all experiments in a sequence on a single GPU, so would take some time to run.

License

A full copy of the license can be found here.

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with this program.  If not, see <https://www.gnu.org/licenses/>.