Kyle Luther

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Unsupervised Learning

Similarity Matching

Microscopic Images

Top Venues

IEEE Trans. Medical Imaging

Publications

Kyle Luther, H. Sebastian Seung
DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization. CoRR (2023)
Kyle Luther, H. Sebastian Seung
Stacked unsupervised learning with a network architecture found by supervised meta-learning. CoRR (2022)
Kyle Luther, H. Sebastian Seung
Sensitivity of sparse codes to image distortions. CoRR (2022)
Kyle Luther, H. Sebastian Seung
Kernel similarity matching with Hebbian networks. NeurIPS (2022)
Kyle Luther, H. Sebastian Seung
Sensitivity of Sparse Codes to Image Distortions. Neural Comput. 34 (7) (2022)
Kyle Luther, H. Sebastian Seung
Kernel similarity matching with Hebbian neural networks. CoRR (2022)
Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction. IEEE Trans. Medical Imaging 40 (12) (2021)
Kyle Luther, H. Sebastian Seung
Variance-Preserving Initialization Schemes Improve Deep Network Training: But Which Variance is Preserved? CoRR (2019)
Kyle Luther, H. Sebastian Seung
Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images. CoRR (2019)
Kyle Luther, H. Sebastian Seung
Learning Metric Graphs for Neuron Segmentation in Electron Microscopy Images. ISBI (2019)
Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung
Learning Dense Voxel Embeddings for 3D Neuron Reconstruction. CoRR (2019)