Vasileios Maroulas

George Siopsis

J. Appl. Comput. Topol., November, 2024

DialectDecoder: Human/machine teaming for bird song classification and anomaly detection.

[BibT_eX]

[DOI]

Brittany Story

Patrick Gillespie

Graham Derryberry

Elizabeth P. Derryberry

Nina H. Fefferman

Ecol. Informatics, 2024

Bayesian Sheaf Neural Networks.

[BibT_eX]

[DOI]

Patrick Gillespie

Sathyanarayanan Rengaswami

CoRR, 2024

On the Relation between Graph Ricci Curvature and Community Structure.

[BibT_eX]

[DOI]

Theodora Bourni

CoRR, 2024

Higher-Order Spatial Information for Self-Supervised Place Cell Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Geometric sparsification in recurrent neural networks.

[BibT_eX]

[DOI]

CoRR, 2024

Quantum Distance Approximation for Persistence Diagrams.

[BibT_eX]

[DOI]

CoRR, 2024

Position Paper: Challenges and Opportunities in Topological Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Position: Topological Deep Learning is the New Frontier for Relational Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

ADLGM: An efficient adaptive sampling deep learning Galerkin method.

[BibT_eX]

[DOI]

Andreas C. Aristotelous

Edward C. Mitchell

J. Comput. Phys., March, 2023

Topological Convolutional Layers for Deep Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

2022

A random persistence diagram generator.

[BibT_eX]

[DOI]

Stat. Comput., 2022

A Topological Deep Learning Framework for Neural Spike Decoding.

[BibT_eX]

[DOI]

CoRR, 2022

Quantum Persistent Homology for Time Series.

[BibT_eX]

[DOI]

Bernardo Ameneyro

George Siopsis

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2021

Materials Fingerprinting Classification.

[BibT_eX]

[DOI]

Cassie Putman Micucci

Peter K. Liaw

Louis Joseph Santodonato

David J. Keffer

Comput. Phys. Commun., 2021

Random Persistence Diagram Generation.

[BibT_eX]

[DOI]

Farzana Nasrin

Theodore Papamarkou

CoRR, 2021

Topological Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2021

2020

A Bayesian Framework for Persistent Homology.

[BibT_eX]

[DOI]

Farzana Nasrin

Christopher Oballe

SIAM J. Math. Data Sci., 2020

Bayesian Topological Learning for Classifying the Structure of Biological Networks.

[BibT_eX]

[DOI]

Cassie Putman Micucci

Farzana Nasrin

CoRR, 2020

A stable cardinality distance for topological classification.

[BibT_eX]

[DOI]

Cassie Putman Micucci

Adam Spannaus

Adv. Data Anal. Classif., 2020

2019

Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams.

[BibT_eX]

[DOI]

Joshua L. Mike

Christopher Oballe

J. Mach. Learn. Res., 2019

Bayesian Topological Learning for Brain State Classification.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Probability Matrices.

[BibT_eX]

[DOI]

Andrew Marchese

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Autotuning Techniques for Performance-Portable Point Set Registration in 3D.

[BibT_eX]

[DOI]

Supercomput. Front. Innov., 2018

Improved distributed particle filters for tracking in a wireless sensor network.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2018

Signal classification with a point process distance on the space of persistence diagrams.

[BibT_eX]

[DOI]

Andrew Marchese

Adv. Data Anal. Classif., 2018

2017

Adaptive Meshfree Backward SDE Filter.

[BibT_eX]

[DOI]

Feng Bao

SIAM J. Sci. Comput., 2017

A Bayesian Topological Framework for the Identification and Reconstruction of Subcellular Motion.

[BibT_eX]

[DOI]

Ioannis Sgouralis

Andreas Nebenführ

SIAM J. Imaging Sci., 2017

2016

Decentralized sparsity-based multi-source association and state tracking.

[BibT_eX]

[DOI]

Signal Process., 2016

Exploiting sensor mobility and covariance sparsity for distributed tracking of multiple sparse targets.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2016

Sparsity based multi-target tracking using mobile sensors.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Topological learning for acoustic signal identification.

[BibT_eX]

[DOI]

Andrew Marchese

Proceedings of the 19th International Conference on Information Fusion, 2016

A multilevel homotopy MCMC sequential Monte Carlo filter for multi-target tracking.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Information Fusion, 2016

On least-squares estimation for partially observed jump-diffusion processes.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2015

Distributed spatio-temporal association and tracking of multiple targets using multiple sensors.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2015

Dynamic Data Driven Sensor Network Selection and Tracking.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2015

Distributed spatio-temporal multi-target association and tracking.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A learning drift homotopy particle filter.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Information Fusion, 2015

A multiobjective optimization framework for stochastic control of complex systems.

[BibT_eX]

[DOI]

Andreas A. Malikopoulos

Jie Xiong

Proceedings of the American Control Conference, 2015

2014

Probability Matrices.

[BibT_eX]

[DOI]

Encyclopedia of Social Network Analysis and Mining, 2014

Joint sensors-sources association and tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Drift homotopy particle filter for non-Gaussian multi-target tracking.

[BibT_eX]

[DOI]

Kai Kang

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

Distributed principal components analysis in sensor networks.

[BibT_eX]

[DOI]

Abiodun Aduroja

Proceedings of the IEEE International Conference on Acoustics, 2013

Drift homotopy methods for a non-Gaussian filter.

[BibT_eX]

[DOI]

Kai Kang

Proceedings of the 16th International Conference on Information Fusion, 2013

2012

Improved particle filters for multi-target tracking.

[BibT_eX]

[DOI]

Panos Stinis

J. Comput. Phys., 2012

2009

A sequential procedure for simultaneous detection and state estimation of Markov signals.

[BibT_eX]

[DOI]

Emanuele Grossi

Marco Lops