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 | 480 | 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 | 30 | 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 | 28 | 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 | 21 | 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 | 20 | 2021 |
Learning dense voxel embeddings for 3d neuron reconstruction K Lee, R Lu, K Luther, HS Seung arXiv preprint arXiv:1909.09872 2, 2019 | 11 | 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 | 9 | 2019 |
Sensitivity of sparse codes to image distortions K Luther, HS Seung Neural computation 34 (7), 1616-1635, 2022 | 3 | 2022 |
DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization K Luther, HS Seung arXiv preprint arXiv:2307.04946, 2023 | 2 | 2023 |
Kernel similarity matching with Hebbian Networks K Luther, S Seung Advances in Neural Information Processing Systems 35, 2282-2293, 2022 | 2 | 2022 |
Reexamining the principle of mean-variance preservation for neural network initialization K Luther, HS Seung Physical Review Research 2 (3), 033135, 2020 | 2 | 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 | 2 | 2019 |
Sample variance decay in randomly initialized ReLU networks K Luther, HS Seung arXiv preprint arXiv:1902.04942, 2019 | 2 | 2019 |
Stretched sinograms for limited-angle tomographic reconstruction with neural networks K Luther, S Seung arXiv preprint arXiv:2306.10201, 2023 | 1 | 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 | 1 | 2016 |
Stacked unsupervised learning with a network architecture found by supervised meta-learning K Luther, HS Seung arXiv preprint arXiv:2206.02716, 2022 | | 2022 |
Kernel similarity matching with Hebbian neural networks K Luther, HS Seung arXiv preprint arXiv:2204.07475, 2022 | | 2022 |
Generating invariant representations with cortex-inspired models of unsupervised learning K Luther Princeton University, 2022 | | 2022 |
See Change: Cosmology Analysis of the HST High-z Cluster SN Survey D Rubin, B Hayden, K Boone, G Aldering, J Nordin, M Brodwin, ... American Astronomical Society Meeting Abstracts# 235 235, 108.20, 2020 | | 2020 |
See Change: Cosmology Analysis Update for the Supernova Cosmology Project High-z Cluster Supernova Survey B Hayden, G Aldering, R Amanullah, K Barbary, H Bohringer, KR Boone, ... American Astronomical Society Meeting Abstracts# 231 231, 327.02, 2018 | | 2018 |