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Found 6 papers, 5 papers with code
Scaling Laws in Jet Classification
We demonstrate the emergence of scaling laws in the benchmark top versus QCD jet classification problem in collider physics.
Topological Obstructions to Autoencoding
Using a series of illustrative low-dimensional examples, we show explicitly how the intrinsic and extrinsic topology of the dataset affects the behavior of an autoencoder and how this topology is manifested in the latent space representation during training.
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Diffusion-weighted magnetic resonance imaging (DWI) is the only non-invasive method for quantifying microstructure and reconstructing white-matter pathways in the living human brain.
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Diffusion-weighted magnetic resonance imaging (DWI) is the only noninvasive method for quantifying microstructure and reconstructing white-matter pathways in the living human brain.
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion
We propose a general framework for solving inverse problems in the presence of noise that requires no signal prior, no noise estimate, and no clean training data.
Noise2Self: Blind Denoising by Self-Supervision
We propose a general framework for denoising high-dimensional measurements which requires no prior on the signal, no estimate of the noise, and no clean training data.
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Color Image Denoising
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