GitHub - latorrefabian/admm_generative_priors: code for the paper Fast and Provable ADMM for Learning with Generative Priors (NeurIPS 2019)

Code for the paper

Fast and Provable ADMM for Learning with Generative Priors Fabian Latorre, Armin Eftekhari, Volkan Cevher. Advances in Neural Information Processing Systems 32 (NeurIPS 2019)

link: https://proceedings.neurips.cc/paper/2019/hash/4559912e7a94a9c32b09d894f2bc3c82-Abstract.html

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
draft/temp_figures		draft/temp_figures
pretrained_classifier		pretrained_classifier
pretrained_generators		pretrained_generators
scripts		scripts
src		src
LICENSE		LICENSE
README.md		README.md
adv_denoising_neurips.py		adv_denoising_neurips.py
denoising_job.sh		denoising_job.sh
job.sh		job.sh
job1.sh		job1.sh
job1_new.sh		job1_new.sh
new_adv_job.sh		new_adv_job.sh
new_run_adversarial.py		new_run_adversarial.py
new_run_denoising.py		new_run_denoising.py
plot_test.py		plot_test.py
reproduce_commands.txt		reproduce_commands.txt
run_attacks_al.py		run_attacks_al.py
run_attacks_denoising.py		run_attacks_denoising.py
run_denoising.py		run_denoising.py
run_experiments.py		run_experiments.py
run_finalexp_adversarial.py		run_finalexp_adversarial.py
run_finalexp_adversarial_new.py		run_finalexp_adversarial_new.py
run_finalexp_adversarial_robust.py		run_finalexp_adversarial_robust.py
run_gd.py		run_gd.py
run_param_tuning.py		run_param_tuning.py
test_attacks.py		test_attacks.py
test_noising.py		test_noising.py

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latorrefabian/admm_generative_priors

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