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Detection and skeletonization of single neurons and tracer injections using topological methods
Neuroscientific data analysis has traditionally relied on linear algebra...
03/20/2020 ∙ by Dingkang Wang, et al. ∙
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Understanding overfitting peaks in generalization error: Analytical risk curves for l_2 and l_1 penalized interpolation
Traditionally in regression one minimizes the number of fitting paramete...
06/09/2019 ∙ by Partha P. Mitra, et al. ∙
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SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design
We design a self size-estimating feed-forward network (SSFN) using a joi...
05/17/2019 ∙ by Saikat Chatterjee, et al. ∙
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Locally Convex Sparse Learning over Networks
We consider a distributed learning setup where a sparse signal is estima...
03/31/2018 ∙ by Ahmed Zaki, et al. ∙
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Fast Convergence for Stochastic and Distributed Gradient Descent in the Interpolation Limit
Modern supervised learning techniques, particularly those using so calle...
03/08/2018 ∙ by Partha P. Mitra, et al. ∙
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Progressive Learning for Systematic Design of Large Neural Networks
We develop an algorithm for systematic design of a large artificial neur...
10/23/2017 ∙ by Saikat Chatterjee, et al. ∙
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Estimate Exchange over Network is Good for Distributed Hard Thresholding Pursuit
We investigate an existing distributed algorithm for learning sparse sig...
09/22/2017 ∙ by Ahmed Zaki, et al. ∙
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