Zambelli2019_RAS_multimodal_VAE

Code and dataset for the RAS accepted paper "Multimodal representation models for prediction and control from partial information"

This repository contains the codebase and the dataset used to generate results for the paper.

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
comparison_exp		comparison_exp
matlab		matlab
replications_FM		replications_FM
replications_IM		replications_IM
replications_droniou_martina		replications_droniou_martina
replications_droniou_vanilla		replications_droniou_vanilla
replications_mvae		replications_mvae
replications_vae_martina		replications_vae_martina
replications_vae_vanilla		replications_vae_vanilla
README.md		README.md
ff_forward_model.py		ff_forward_model.py
ff_inverse_model.py		ff_inverse_model.py
run_exp.sh		run_exp.sh
run_replications_FM.sh		run_replications_FM.sh
run_replications_IM.sh		run_replications_IM.sh
run_replications_droniou_martina.sh		run_replications_droniou_martina.sh
run_replications_droniou_vanilla.sh		run_replications_droniou_vanilla.sh
run_replications_mvae.sh		run_replications_mvae.sh
run_replications_vae_martina.sh		run_replications_vae_martina.sh
run_replications_vae_vanilla.sh		run_replications_vae_vanilla.sh
test_all.py		test_all.py
test_ff_fm_im.py		test_ff_fm_im.py
test_final_completeloss.py		test_final_completeloss.py
test_vanilla_vae.py		test_vanilla_vae.py
train_final_completeloss.py		train_final_completeloss.py
vae_forward_model.py		vae_forward_model.py
vae_inverse_model.py		vae_inverse_model.py
vanilla_vae.py		vanilla_vae.py

ImperialCollegeLondon/Zambelli2019_RAS_multimodal_VAE