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[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

Home Page: https://openreview.net/forum?id=B1lnzn0ctQ

License: MIT License

Python 97.95% MATLAB 2.05%
compressive-sensing deep-learning lista machine-learning sparse-coding sparse-reconstruction

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alista's Issues

'nmse is nan. exiting...'

Hi,
I tried to train LAMP network using
"python3 main.py --task_type sc -g 0 [-t] \ --test --M 30 --N 50 --pnz 0.25 --SNR inf --con_num 0 --column_normalized True \ --net LAMP -T 10 -p 1.2 -maxp 13
--scope LAMP --exp_id 0".
I m getting 'nmse is nan. exiting...' error in layer 4. Thus it is not training after that.
Am I missing any other parameter that needs to be fed as input for M = 30,N=50 setup.
In default setup (M=250,N=500 and pnz = 0.1) it is working without errors.

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