961 citations
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10 papers · 1 filter
Robust Registration of Calcium Images by Learned Contrast Synthesis
John A. Bogovic, Philipp Hanslovsky, Allan Wong +1
Multi-modal image registration is a challenging task that is vital to fuse complementary signals for subsequent analyses. Despite much research into cost functions addressing this…
Spectrum density of large sparse random matrices associated to neural networks
Hervé Rouault, Shaul Druckmann
The eigendecomposition of the coupling matrix of large biological networks is central to the study of the dynamics of these networks. For neural networks, this matrix should reflec…
MLlib: Machine Learning in Apache Spark
Xiangrui Meng, Joseph Bradley, Burak Yavuz +13
Apache Spark is a popular open-source platform for large-scale data processing that is well-suited for iterative machine learning tasks. In this paper we present MLlib, Spark's ope…
Sample complexity of learning Mahalanobis distance metrics
Nakul Verma, Kristin Branson
Metric learning seeks a transformation of the feature space that enhances prediction quality for the given task at hand. In this work we provide PAC-style sample complexity rates f…
InferenceMAP: Mapping of Single-Molecule Dynamics with Bayesian Inference
Mohamed El Beheiry, Maxime Dahan, Jean-Baptiste Masson
Single-particle tracking (SPT) grants unprecedented insight into cellular function at the molecular scale [1]. Throughout the cell, the movement of single-molecules is generally he…
A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features
Cengiz Pehlevan, Dmitri B. Chklovskii
Despite our extensive knowledge of biophysical properties of neurons, there is no commonly accepted algorithmic theory of neuronal function. Here we explore the hypothesis that sin…