Vasileios Maroulas

54 papers A* 1B 1C 8Misc 5Journal 36Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Classical to Topological Neural Networks Under Uncertainty.
CoRR
Sarah Harkins Dayton, Layal Bou Hamdan, Ioannis D. Schizas, David L. Boothe, Vasileios Maroulas
2026 J jnl
Topological data analysis and topological deep learning beyond persistent homology: a review.
Artif. Intell. Rev.
Zhe Su, Xiang Liu, Layal Bou Hamdan, Vasileios Maroulas, Jie Wu, Gunnar Carlsson, Guo-Wei Wei
2025 J jnl
Bayesian Topological Convolutional Neural Nets.
CoRR
Sarah Harkins Dayton, Hayden Everett, Ioannis D. Schizas, David L. Boothe, Vasileios Maroulas
2024 J jnl
Bayesian Sheaf Neural Networks.
CoRR
Patrick Gillespie, Vasileios Maroulas, Ioannis D. Schizas
2024 J jnl
DialectDecoder: Human/machine teaming for bird song classification and anomaly detection.
Ecol. Informatics
Brittany Story, Patrick Gillespie, Graham Derryberry, Elizabeth P. Derryberry, Nina H. Fefferman, Vasileios Maroulas
2024 J jnl
Geometric sparsification in recurrent neural networks.
CoRR
Wyatt Mackey, Ioannis D. Schizas, Jared Deighton, David L. Boothe, Vasileios Maroulas
2024 J jnl
Higher-Order Spatial Information for Self-Supervised Place Cell Learning.
CoRR
Jared Deighton, Wyatt Mackey, Ioannis D. Schizas, David L. Boothe, Vasileios Maroulas
2024 J jnl
Investigating the importance of social vulnerability in opioid-related mortality across the United States.
CoRR
Andrew Deas, Adam Spannaus, Dakotah D. Maguire, Jodie Trafton, Anuj J. Kapadia, Vasileios Maroulas
2024 J jnl
On the Relation between Graph Ricci Curvature and Community Structure.
CoRR
Sathyanarayanan Rengaswami, Theodora Bourni, Vasileios Maroulas
2024 J jnl
Position Paper: Challenges and Opportunities in Topological Deep Learning.
CoRR
Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
2024 A* conf
Position: Topological Deep Learning is the New Frontier for Relational Learning.
ICML
Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
2024 J jnl
Quantum Distance Approximation for Persistence Diagrams.
CoRR
Bernardo Ameneyro, Rebekah Herrman, George Siopsis, Vasileios Maroulas
2024 J jnl
Quantum persistent homology.
J. Appl. Comput. Topol.
Bernardo Ameneyro, Vasileios Maroulas, George Siopsis
2023 J jnl
ADLGM: An efficient adaptive sampling deep learning Galerkin method.
J. Comput. Phys.
Andreas C. Aristotelous, Edward C. Mitchell, Vasileios Maroulas
2023 J jnl
Topological Convolutional Layers for Deep Learning.
J. Mach. Learn. Res.
Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar E. Carlsson
2022 J jnl
A Topological Deep Learning Framework for Neural Spike Decoding.
CoRR
Edward C. Mitchell, Brittany Story, David L. Boothe, Piotr J. Franaszczuk, Vasileios Maroulas
2022 J jnl
A random persistence diagram generator.
Stat. Comput.
Theodore Papamarkou, Farzana Nasrin, Austin Lawson, Na Gong, Orlando Rios, Vasileios Maroulas
2022 Misc conf
Quantum Persistent Homology for Time Series.
SEC
Bernardo Ameneyro, George Siopsis, Vasileios Maroulas
2022 J jnl
Quantum Persistent Homology for Time Series.
CoRR
Bernardo Ameneyro, George Siopsis, Vasileios Maroulas
2021 J jnl
Materials Fingerprinting Classification.
CoRR
Adam Spannaus, Kody J. H. Law, Piotr Luszczek, Farzana Nasrin, Cassie Putman Micucci, Peter K. Liaw, Louis Joseph Santodonato, David J. Keffer, Vasileios Maroulas
2021 J jnl
Materials Fingerprinting Classification.
Comput. Phys. Commun.
Adam Spannaus, Kody J. H. Law, Piotr Luszczek, Farzana Nasrin, Cassie Putman Micucci, Peter K. Liaw, Louis Joseph Santodonato, David J. Keffer, Vasileios Maroulas
2021 J jnl
Random Persistence Diagram Generation.
CoRR
Farzana Nasrin, Theodore Papamarkou, Vasileios Maroulas
2021 J jnl
Topological Deep Learning.
CoRR
Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar E. Carlsson
2020 J jnl
A Bayesian Framework for Persistent Homology.
SIAM J. Math. Data Sci.
Vasileios Maroulas, Farzana Nasrin, Christopher Oballe
2020 J jnl
A stable cardinality distance for topological classification.
Adv. Data Anal. Classif.
Vasileios Maroulas, Cassie Putman Micucci, Adam Spannaus
2020 J jnl
Bayesian Topological Learning for Classifying the Structure of Biological Networks.
CoRR
Vasileios Maroulas, Cassie Putman Micucci, Farzana Nasrin
2019 C conf
Bayesian Topological Learning for Brain State Classification.
ICMLA
Farzana Nasrin, Christopher Oballe, David L. Boothe, Vasileios Maroulas
2019 J jnl
Bayesian Topological Learning for Brain State Classification.
CoRR
Farzana Nasrin, Christopher Oballe, David L. Boothe, Vasileios Maroulas
2019 J jnl
Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams.
J. Mach. Learn. Res.
Vasileios Maroulas, Joshua L. Mike, Christopher Oballe
2018 J jnl
A Stable Cardinality Distance for Topological Classification.
CoRR
Vasileios Maroulas, Cassie Putman Micucci, Adam Spannaus
2018 J jnl
Autotuning Techniques for Performance-Portable Point Set Registration in 3D.
Supercomput. Front. Innov.
Piotr Luszczek, Jakub Kurzak, Ichitaro Yamazaki, David J. Keffer, Vasileios Maroulas, Jack J. Dongarra
2018 J jnl
Improved distributed particle filters for tracking in a wireless sensor network.
Comput. Stat. Data Anal.
Kai Kang, Vasileios Maroulas, Ioannis D. Schizas, Feng Bao
2018 — ch.
Probability Matrices.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Andrew Marchese, Vasileios Maroulas
2018 J jnl
Signal classification with a point process distance on the space of persistence diagrams.
Adv. Data Anal. Classif.
Andrew Marchese, Vasileios Maroulas
2017 J jnl
A Bayesian Topological Framework for the Identification and Reconstruction of Subcellular Motion.
SIAM J. Imaging Sci.
Ioannis Sgouralis, Andreas Nebenführ, Vasileios Maroulas
2017 J jnl
Adaptive Meshfree Backward SDE Filter.
SIAM J. Sci. Comput.
Feng Bao, Vasileios Maroulas
2016 C conf
A multilevel homotopy MCMC sequential Monte Carlo filter for multi-target tracking.
FUSION
Kai Kang, Vasileios Maroulas, Ioannis D. Schizas, Erik Blasch
2016 J jnl
Decentralized sparsity-based multi-source association and state tracking.
Signal Process.
Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas
2016 J jnl
Exploiting sensor mobility and covariance sparsity for distributed tracking of multiple sparse targets.
EURASIP J. Adv. Signal Process.
Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas
2016 C conf
On least-squares estimation for partially observed jump-diffusion processes.
ACC
Seddik M. Djouadi, Vasileios Maroulas, Xiaoyang Pan, Jie Xiong
2016 Misc conf
Sparsity based multi-target tracking using mobile sensors.
ICASSP
Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas
2016 C conf
Topological learning for acoustic signal identification.
FUSION
Andrew Marchese, Vasileios Maroulas
2015 C conf
A learning drift homotopy particle filter.
FUSION
Vasileios Maroulas, Kai Kang, Ioannis D. Schizas, Michael W. Berry
2015 C conf
A multiobjective optimization framework for stochastic control of complex systems.
ACC
Andreas A. Malikopoulos, Vasileios Maroulas, Jie Xiong
2015 J jnl
Distributed spatio-temporal association and tracking of multiple targets using multiple sensors.
IEEE Trans. Aerosp. Electron. Syst.
Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas
2015 Misc conf
Distributed spatio-temporal multi-target association and tracking.
ICASSP
Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas
2015 Misc conf
Dynamic Data Driven Sensor Network Selection and Tracking.
ICCS
Ioannis D. Schizas, Vasileios Maroulas
2014 C conf
Drift homotopy particle filter for non-Gaussian multi-target tracking.
FUSION
Kai Kang, Vasileios Maroulas, Ioannis D. Schizas
2014 — conf
Joint sensors-sources association and tracking.
SAM
Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas
2014 — ch.
Probability Matrices.
Encyclopedia of Social Network Analysis and Mining
Vasileios Maroulas
2013 Misc conf
Distributed principal components analysis in sensor networks.
ICASSP
Abiodun Aduroja, Ioannis D. Schizas, Vasileios Maroulas
2013 C conf
Drift homotopy methods for a non-Gaussian filter.
FUSION
Kai Kang, Vasileios Maroulas
2012 J jnl
Improved particle filters for multi-target tracking.
J. Comput. Phys.
Vasileios Maroulas, Panos Stinis
2009 B conf
A sequential procedure for simultaneous detection and state estimation of Markov signals.
ISIT
Emanuele Grossi, Marco Lops, Vasileios Maroulas