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Research map / Probabilistic and scientific modeling / Molecules and proteins

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ICML 2016 · Probabilistic and scientific modeling › Molecules and proteins · approach: Sparse graphical and tensor models · 2 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use 20 sieve representatives instead of 20 random representativessingle-layer sieve · Permuted binarized MNIST compressionbits per digit: 293 -> 266Helped
use 50 sieve representatives instead of 50 random representativessingle-layer sieve · Permuted binarized MNIST compressionbits per digit: 279 -> 252Helped
use 100 sieve representatives instead of 100 random representativessingle-layer sieve · Permuted binarized MNIST compressionbits per digit: 267 -> 243Helped
increase number of sieve representatives from 20 to 100 (ablation)single-layer sieve · Permuted binarized MNIST compressionbits per digit: 266 -> 243Helped
increase number of random representatives from 20 to 100 (ablation)random representatives baseline · Permuted binarized MNIST compressionbits per digit: 293 -> 267Helped
replace gzip with sieve 100 representativescompression pipeline · Permuted binarized MNIST compressionbits per digit: 328 -> 243Helped
replace bitwise per-pixel coding with 20 sieve representativescompression · Permuted binarized MNIST compressionbits per digit: 297 -> 266Helped
replace Huffman coding with bitwise Shannon codingcompression · Permuted binarized MNIST compressionbits per digit: 376 -> 297Helped

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