Kyle Luther

11 papers A* 1Journal 9Unranked 1

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