Joshua T. Vogelstein

According to our database1, Joshua T. Vogelstein authored at least 103 papers between 2007 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
The Chi-Square Test of Distance Correlation.
J. Comput. Graph. Stat., 2022

Why Do Networks Need Negative Weights?
CoRR, 2022

Out-of-distribution Detection Using Kernel Density Polytopes.
CoRR, 2022

Prospective Learning: Back to the Future.
CoRR, 2022

2021
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics.
PLoS Comput. Biol., 2021

Joint Embedding of Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Kernel k-Groups via Hartigan's Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Impact of concatenating fMRI data on reliability for functional connectomics.
NeuroImage, 2021

mvlearn: Multiview Machine Learning in Python.
J. Mach. Learn. Res., 2021

Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace.
J. Mach. Learn. Res., 2021

Fitting Splines to Axonal Arbors Quantifies Relationship Between Branch Order and Geometry.
Frontiers Neuroinformatics, 2021

Graph Matching via Optimal Transport.
CoRR, 2021

Streaming Decision Trees and Forests.
CoRR, 2021

Towards a theory of out-of-distribution learning.
CoRR, 2021

When are Deep Networks really better than Random Forests at small sample sizes?
CoRR, 2021

Federated Causal Inference in Heterogeneous Observational Data.
CoRR, 2021

Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic.
CoRR, 2021

BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Cross-species functional alignment reveals evolutionary hierarchy within the connectome.
NeuroImage, 2020

Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains.
NeuroImage, 2020

Bagging improves reproducibility of functional parcellation of the human brain.
NeuroImage, 2020

Joint embedding: A scalable alignment to compare individuals in a connectivity space.
NeuroImage, 2020

Toward a connectivity gradient-based framework for reproducible biomarker discovery.
NeuroImage, 2020

Sparse Projection Oblique Randomer Forests.
J. Mach. Learn. Res., 2020

A partition-based similarity for classification distributions.
CoRR, 2020

PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment.
CoRR, 2020

Robust Similarity and Distance Learning via Decision Forests.
CoRR, 2020

mvlearn: Multiview Machine Learning in Python.
CoRR, 2020

Learning to rank via combining representations.
CoRR, 2020

A New Age of Computing and the Brain.
CoRR, 2020

A general approach to progressive intelligence.
CoRR, 2020

Geodesic Forests.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Connectome Smoothing via Low-Rank Approximations.
IEEE Trans. Medical Imaging, 2019

GraSPy: Graph Statistics in Python.
J. Mach. Learn. Res., 2019

The Chi-Square Test of Distance Correlation.
CoRR, 2019

The Exact Equivalence of Independence Testing and Two-Sample Testing.
CoRR, 2019

Manifold Forests: Closing the Gap on Neural Networks.
CoRR, 2019

AutoGMM: Automatic Gaussian Mixture Modeling in Python.
CoRR, 2019

A Consistent Independence Test for Multivariate Time-Series.
CoRR, 2019

Graphyti: A Semi-External Memory Graph Library for FlashGraph.
CoRR, 2019

Geodesic Learning via Unsupervised Decision Forests.
CoRR, 2019

mgcpy: A Comprehensive High Dimensional Independence Testing Python Package.
CoRR, 2019

Estimating Information-Theoretic Quantities with Random Forests.
CoRR, 2019

Vertex Classification on Weighted Networks.
CoRR, 2019

GraSPy: Graph Statistics in Python.
CoRR, 2019

clusterNOR: A NUMA-Optimized Clustering Framework.
CoRR, 2019

Forest Packing: Fast Parallel, Decision Forests.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2018
Decision Forests Induce Characteristic Kernels.
CoRR, 2018

On a 'Two Truths' Phenomenon in Spectral Graph Clustering.
CoRR, 2018

The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing.
CoRR, 2018

FlashR: parallelize and scale R for machine learning using SSDs.
Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

Building NDStore Through Hierarchical Storage Management and Microservice Processing.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017
Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs.
IEEE Trans. Parallel Distributed Syst., 2017

Manifold matching using shortest-path distance and joint neighborhood selection.
Pattern Recognit. Lett., 2017

An M-estimator for reduced-rank system identification.
Pattern Recognit. Lett., 2017

Probabilistic fluorescence-based synapse detection.
PLoS Comput. Biol., 2017

Whole-brain serial-section electron microscopy in larval zebrafish.
Nat., 2017

Statistical Inference on Random Dot Product Graphs: a Survey.
J. Mach. Learn. Res., 2017

Energy Clustering.
CoRR, 2017

Joint Embedding of Graphs.
CoRR, 2017

ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library.
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017

2016
DeltaCon: Principled Massive-Graph Similarity Function with Attribution.
ACM Trans. Knowl. Discov. Data, 2016

Graph Matching: Relax at Your Own Risk.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Robust Vertex Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs.
CoRR, 2016

Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture.
CoRR, 2016

An SSD-based eigensolver for spectral analysis on billion-node graphs.
CoRR, 2016

NUMA-optimized In-memory and Semi-external-memory Parameterized Clustering.
CoRR, 2016

Deformably Registering and Annotating Whole CLARITY Brains to an Atlas via Masked LDDMM.
CoRR, 2016

A Diffeomorphic Approach to Multimodal Registration with Mutual Information: Applications to CLARITY Mouse Brain Images.
CoRR, 2016

Quantifying mesoscale neuroanatomy using X-ray microtomography.
CoRR, 2016

2015
Spectral clustering for divide-and-conquer graph matching.
Parallel Comput., 2015

Randomer Forests.
CoRR, 2015

Gradient-Domain Fusion for Color Correction in Large EM Image Stacks.
CoRR, 2015

Shuffled Graph Classification: Theory and Connectome Applications.
J. Classif., 2015

FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs.
Proceedings of the 13th USENIX Conference on File and Storage Technologies, 2015

VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning and Mixture Modeling.
IEEE Trans. Biomed. Eng., 2014

An Automated Images-to-Graphs Framework for High Resolution Connectomics.
Frontiers Neuroinformatics, 2014

Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes.
CoRR, 2014

An Automated Images-to-Graphs Pipeline for High Resolution Connectomics.
CoRR, 2014

Volumetric Exploitation of Synaptic Information using Context Localization and Evaluation.
CoRR, 2014

Covariate Assisted Spectral Clustering.
CoRR, 2014

2013
Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown.
SIAM J. Matrix Anal. Appl., 2013

Graph Classification Using Signal-Subgraphs: Applications in Statistical Connectomics.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Accurate prediction of AD patients using cortical thickness networks.
Mach. Vis. Appl., 2013

Gradient-Domain Processing for Large EM Image Stacks.
CoRR, 2013

The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience.
Proceedings of the Conference on Scientific and Statistical Database Management, 2013

DELTACON: A Principled Massive-Graph Similarity Function.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Multiscale Dictionary Learning for Estimating Conditional Distributions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Real-Time Inference for a Gamma Process Model of Neural Spiking.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Bayesian crack detection in ultra high resolution multimodal images of paintings.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Computing scalable multivariate glocal invariants of large (brain-) graphs.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Sex Differences in the Human Connectome.
Proceedings of the Brain and Health Informatics - International Conference, 2013

2011
Fast Inexact Graph Matching with Applications in Statistical Connectomics
CoRR, 2011

Network-Based Classification Using Cortical Thickness of AD Patients.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

2010
A new look at state-space models for neural data.
J. Comput. Neurosci., 2010

2008
Psychiatry: Insights into depression through normative decision-making models.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses.
IEEE Trans. Neural Networks, 2007


  Loading...