Unverified50% confidenceFactExact time
LIPS-PC was evaluated on the MNIST, Fashion-MNIST and RIAWELC datasets under measurement budgets M ∈ {8,16,32,64,128}.
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Long-term
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11/4/2026
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UnverifiedThe sampling rate is defined as the ratio of the number of measurements M to the total number of image pixels N; for 28×28 MNIST images (N=784), the sampling rate is about 1% at M=8 and about 16% at M=128.60% similarUnverifiedpgvector's README lists the HNSW default parameters: m is 16, ef_construction is 64, and hnsw.ef_search is 40, with higher values giving better recall but slower speed.57% similarUnverifiedThe fourth model uses the Persian Digits MNIST dataset, with the same architecture as the third, implements mini-batch gradient descent with momentum in JAX, and reaches about 96% test accuracy in about 200 epochs, whereas previously about 2000 epochs were needed.56% similarUnverifiedThe paper presents comparison data at a 10M token context on GLM-5.3-FLASH (QWEN-3.8-27B).56% similarUnverifiedThe authors tested a variety of vision architectures ranging from D=7,850 to D=4,203,522 (about 4.2 million parameters) on the full MNIST benchmark.56% similar
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