1 code implementation • 4 Dec 2023 • Joshua Batson, Yonatan Kahn
We demonstrate the emergence of scaling laws in the benchmark top versus QCD jet classification problem in collider physics.
no code implementations • 16 Feb 2021 • Joshua Batson, C. Grace Haaf, Yonatan Kahn, Daniel A. Roberts
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.
1 code implementation • NeurIPS 2020 • Shreyas Fadnavis, Joshua Batson, Eleftherios Garyfallidis
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.
1 code implementation • 2 Nov 2020 • Shreyas Fadnavis, Joshua Batson, Eleftherios Garyfallidis
Diffusion-weighted magnetic resonance imaging (DWI) is the only noninvasive method for quantifying microstructure and reconstructing white-matter pathways in the living human brain.
1 code implementation • 11 Jun 2020 • Hirofumi Kobayashi, Ahmet Can Solak, Joshua Batson, Loic A. Royer
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.
3 code implementations • 30 Jan 2019 • Joshua Batson, Loic Royer
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.
Ranked #1 on Color Image Denoising on Hanzi