Kyle Luther

According to our database, Kyle Luther authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization.

Kyle Luther, H. Sebastian Seung

CoRR, 2023

Stretched sinograms for limited-angle tomographic reconstruction with neural networks.

Kyle L. Luther, H. Sebastian Seung

CoRR, 2023

2022

Sensitivity of Sparse Codes to Image Distortions.

Kyle Luther, H. Sebastian Seung

Neural Comput., 2022

Stacked unsupervised learning with a network architecture found by supervised meta-learning.

Kyle Luther, H. Sebastian Seung

CoRR, 2022

Kernel similarity matching with Hebbian neural networks.

Kyle Luther, H. Sebastian Seung

CoRR, 2022

Kernel similarity matching with Hebbian networks.

Kyle Luther, H. Sebastian Seung

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction.

Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung

IEEE Trans. Medical Imaging, 2021

2019

Learning Dense Voxel Embeddings for 3D Neuron Reconstruction.

Kisuk Lee, Ran Lu, Kyle Luther, H. Sebastian Seung

CoRR, 2019

Variance-Preserving Initialization Schemes Improve Deep Network Training: But Which Variance is Preserved?

Kyle Luther, H. Sebastian Seung

CoRR, 2019

Learning Metric Graphs for Neuron Segmentation in Electron Microscopy Images.

Kyle Luther, H. Sebastian Seung

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Unsupervised learning by a "softened" correlation game: duality and convergence.

Kyle L. Luther, Runzhe Yang, H. Sebastian Seung

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019