Kyle Luther
Kyle Luther
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Cited by
Cited by
Characterizing transiting exoplanet atmospheres with JWST
TP Greene, MR Line, C Montero, JJ Fortney, J Lustig-Yaeger, K Luther
The Astrophysical Journal 817 (1), 17, 2016
The discovery of a gravitationally lensed supernova Ia at redshift 2.22
D Rubin, B Hayden, X Huang, G Aldering, R Amanullah, K Barbary, ...
The Astrophysical Journal 866 (1), 65, 2018
Learning and segmenting dense voxel embeddings for 3D neuron reconstruction
K Lee, R Lu, K Luther, HS Seung
IEEE Transactions on Medical Imaging 40 (12), 3801-3811, 2021
The HST See Change Program. I. Survey Design, Pipeline, and Supernova Discoveries
B Hayden, D Rubin, K Boone, G Aldering, J Nordin, M Brodwin, ...
The Astrophysical Journal 912 (2), 87, 2021
3D reconstruction of cell nuclei in a full Drosophila brain
S Mu, S Yu, NL Turner, CE McKellar, S Dorkenwald, F Collman, ...
bioRxiv, 2021.11. 04.467197, 2021
Learning dense voxel embeddings for 3d neuron reconstruction
K Lee, R Lu, K Luther, HS Seung
arXiv preprint arXiv:1909.09872 2, 2019
Learning metric graphs for neuron segmentation in electron microscopy images
K Luther, HS Seung
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization
K Luther, HS Seung
arXiv preprint arXiv:2307.04946, 2023
Sensitivity of sparse codes to image distortions
K Luther, HS Seung
Neural computation 34 (7), 1616-1635, 2022
Reexamining the principle of mean-variance preservation for neural network initialization
K Luther, HS Seung
Physical Review Research 2 (3), 033135, 2020
Unsupervised learning by a" softened" correlation game: duality and convergence
KL Luther, R Yang, HS Seung
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 876-883, 2019
Sample variance decay in randomly initialized ReLU networks
K Luther, HS Seung
arXiv preprint arXiv:1902.04942, 2019
Stretched sinograms for limited-angle tomographic reconstruction with neural networks
K Luther, S Seung
arXiv preprint arXiv:2306.10201, 2023
Automated Artifact Rejection for Transient Identification in WFC3 IR Image Subtractions
K Luther, K Boone, B Hayden, GS Aldering, S Perlmutter, ...
American Astronomical Society Meeting Abstracts# 227 227, 237.03, 2016
Kernel similarity matching with Hebbian Networks
K Luther, S Seung
Advances in Neural Information Processing Systems 35, 2282-2293, 2022
Embedding game: dimensionality reduction as a two-person zero-sum game
K Luther
Stacked unsupervised learning with a network architecture found by supervised meta-learning
K Luther, HS Seung
arXiv preprint arXiv:2206.02716, 2022
Kernel similarity matching with Hebbian neural networks
K Luther, HS Seung
arXiv preprint arXiv:2204.07475, 2022
Generating invariant representations with cortex-inspired models of unsupervised learning
K Luther
Princeton University, 2022
Online approximate factorization of a kernel matrix by a Hebbian neural network
K Luther, S Seung
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