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07/11/2023
DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization
Inverse problems generally require a regularizer or prior for a good sol...
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06/06/2022
Stacked unsupervised learning with a network architecture found by supervised meta-learning
Stacked unsupervised learning (SUL) seems more biologically plausible th...
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04/15/2022
Kernel similarity matching with Hebbian neural networks
Recent works have derived neural networks with online correlation-based ...
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04/15/2022
Sensitivity of sparse codes to image distortions
Sparse coding has been proposed as a theory of visual cortex and as an u...
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06/21/2021
Large-scale image segmentation based on distributed clustering algorithms
Many approaches to 3D image segmentation are based on hierarchical clust...
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09/21/2019
Learning Dense Voxel Embeddings for 3D Neuron Reconstruction
We show dense voxel embeddings learned via deep metric learning can be e...
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04/29/2019
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy
Neural circuits can be reconstructed from brain images acquired by seria...
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04/23/2019
Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets
It is now common to process volumetric biomedical images using 3D Convol...
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04/22/2019
Synaptic Partner Assignment Using Attentional Voxel Association Networks
Connectomics aims to recover a complete set of synaptic connections with...
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04/05/2019
Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner
We present a novel method enabling robots to quickly learn to manipulate...
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04/04/2019
Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision
We propose a method of aligning a source image to a target image, where ...
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03/18/2019
PZnet: Efficient 3D ConvNet Inference on Manycore CPUs
Convolutional nets have been shown to achieve state-of-the-art accuracy ...
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03/17/2019
Reconstructing neuronal anatomy from whole-brain images
Reconstructing multiple molecularly defined neurons from individual brai...
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03/05/2019
Convergence of gradient descent-ascent analyzed as a Newtonian dynamical system with dissipation
A dynamical system is defined in terms of the gradient of a payoff funct...
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02/13/2019
Variance-Preserving Initialization Schemes Improve Deep Network Training: But Which Variance is Preserved?
Before training a neural net, a classic rule of thumb is to randomly ini...
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01/31/2019
Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images
In the deep metric learning approach to image segmentation, a convolutio...
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12/31/2018
Two "correlation games" for a nonlinear network with Hebbian excitatory neurons and anti-Hebbian inhibitory neurons
A companion paper introduces a nonlinear network with Hebbian excitatory...
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12/30/2018
Unsupervised learning by a nonlinear network with Hebbian excitatory and anti-Hebbian inhibitory neurons
This paper introduces a rate-based nonlinear neural network in which exc...
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08/08/2017
An Error Detection and Correction Framework for Connectomics
We define and study error detection and correction tasks that are useful...
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05/31/2017
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
For the past decade, convolutional networks have been used for 3D recons...
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05/24/2017
Deep Learning Improves Template Matching by Normalized Cross Correlation
Template matching by normalized cross correlation (NCC) is widely used f...
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04/03/2017
A correlation game for unsupervised learning yields computational interpretations of Hebbian excitation, anti-Hebbian inhibition, and synapse elimination
Much has been learned about plasticity of biological synapses from empir...
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06/23/2016
Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks
Calcium imaging is an important technique for monitoring the activity of...
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10/22/2015
ZNN - A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines
Convolutional networks (ConvNets) have become a popular approach to comp...
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05/01/2015
Image Segmentation by Size-Dependent Single Linkage Clustering of a Watershed Basin Graph
We present a method for hierarchical image segmentation that defines a d...
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11/28/2009