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Unrolling PALM for Sparse Semi-Blind Source Separation

ICLR 2022 · Learning theory and algorithms › Matrix and tensor methods · approach: Sparse regression with guarantees · 0 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Unroll PALM and learn its parameters using factor-supervised trainingSparse semi-blind source separation · Synthetic astrophysical test setMedian NMSE (sources): 0.0176 -> 0.00085Helped
Replace iterative PALM with a 25-layer LPALM networkSparse semi-blind source separation · Synthetic astrophysical test setIterations/layers required: 2011 iterations -> 25 layersHelped
Use LPALM instead of PALM with random initializationsSparse semi-blind source separation · One synthetic astrophysical test sampleMedian NMSE (sources): 0.0201 -> 0.0010Helped
Train across samples with variable mixing matrices rather than on one matrixRealistic astrophysical source separation · Realistic test set, model evaluationNMSE (mixing matrix A): 0.0088 -> 0.0009Helped
Use LISTA-CP source updates instead of ISTA-LLT source updates (ablation)Unrolled PALM · Synthetic astrophysical test setMedian NMSE (sources): 0.7943 -> 0.00085Helped
Replace learned A step sizes with an explicit A update (ablation)LPALM with LISTA-CP S updates · Synthetic astrophysical test setMedian NMSE (sources): 0.00085 -> 0.00097No clear effect
Use an explicit A update instead of learned A step sizes, alongside ISTA-LLT S updates (ablation)Unrolled PALM · Synthetic astrophysical test setMedian NMSE (sources): 0.7943 -> 0.7948No clear effect
Replace factor supervision with unsupervised reconstruction loss (ablation)LPALM · Synthetic astrophysical test setMedian NMSE (sources) + NMSE (mixing matrix A): 0.00112 -> 0.568Hurt
Supervise only the source estimates rather than both factors (ablation)LPALM · Synthetic astrophysical test setMedian NMSE (sources) + NMSE (mixing matrix A): 0.00112 -> 0.00115No clear effect
Supervise only the mixing matrix estimates rather than both factors (ablation)LPALM · Synthetic astrophysical test setMedian NMSE (sources) + NMSE (mixing matrix A): 0.00112 -> 0.00191No clear effect
Increase the number of LPALM layers beyond the best setting (ablation)LPALM · Synthetic astrophysical validation dataSum of NMSE for sources and mixing matrixHurt
Use noisy mixing matrix estimates in LISTA-CP updates (ablation)LISTA-CP source estimator · Variable-mixing-matrix experimentNMSE (sources)Hurt

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