Compressed-DLN

Official implementation of compressed deep linear networks for learning low-dimensional models.

fig_traj_mf.ipynb : Notebook for plotting figures related to deep matrix factorization
fig_traj_mc.ipynb : Notebook for plotting figures related to deep matrix completion
fig_traj_ms.ipynb : Notebook for plotting figures related to deep matrix sensing
fig_power_method.ipynb: Notebook for plotting figure with the left and right factors of the DLN fitting the principal components
fig_ablation_dlr_mc.ipynb: Notebook for plotting ablation study on the effect of alpha
fig_mc_depth_effect.ipynb: Notebook for studying the effect of depth on matrix completion

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
figs		figs
README.md		README.md
data.py		data.py
fig_ablation_dlr_mc.ipynb		fig_ablation_dlr_mc.ipynb
fig_mc_depth_effect.ipynb		fig_mc_depth_effect.ipynb
fig_power_method.ipynb		fig_power_method.ipynb
fig_traj_mc.ipynb		fig_traj_mc.ipynb
fig_traj_mf.ipynb		fig_traj_mf.ipynb
fig_traj_ms.ipynb		fig_traj_ms.ipynb
loss.py		loss.py
network.py		network.py
plot.py		plot.py
requirements.txt		requirements.txt
solver.py		solver.py
utils.py		utils.py

Provide feedback