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ORCIDVasileios Maroulas
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2020 – today
- 2024
[j17]Brittany Story, Patrick Gillespie, Graham Derryberry, Elizabeth P. Derryberry, Nina H. Fefferman, Vasileios Maroulas:
DialectDecoder: Human/machine teaming for bird song classification and anomaly detection. Ecol. Informatics 82: 102657 (2024)- [c16]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:
Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML 2024 - [i13]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:
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR abs/2402.08871 (2024) - [i12]Bernardo Ameneyro, Rebekah Herrman, George Siopsis, Vasileios Maroulas:
Quantum Distance Approximation for Persistence Diagrams. CoRR abs/2402.17295 (2024) - [i11]Wyatt Mackey, Ioannis D. Schizas, Jared Deighton, David L. Boothe, Vasileios Maroulas:
Geometric sparsification in recurrent neural networks. CoRR abs/2406.06290 (2024) - [i10]Jared Deighton, Wyatt Mackey, Ioannis D. Schizas, David L. Boothe, Vasileios Maroulas:
Higher-Order Spatial Information for Self-Supervised Place Cell Learning. CoRR abs/2407.06195 (2024) - [i9]Sathyanarayanan Rengaswami, Theodora Bourni, Vasileios Maroulas:
On the Relation between Graph Ricci Curvature and Community Structure. CoRR abs/2407.06197 (2024) - 2023
- [j16]Andreas C. Aristotelous
, Edward C. Mitchell, Vasileios Maroulas:
ADLGM: An efficient adaptive sampling deep learning Galerkin method. J. Comput. Phys. 477: 111944 (2023) - [j15]Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar E. Carlsson:
Topological Convolutional Layers for Deep Learning. J. Mach. Learn. Res. 24: 59:1-59:35 (2023) - 2022
- [j14]Theodore Papamarkou, Farzana Nasrin, Austin Lawson, Na Gong, Orlando Rios, Vasileios Maroulas:
A random persistence diagram generator. Stat. Comput. 32(1) (2022) - [c15]Bernardo Ameneyro, George Siopsis, Vasileios Maroulas:
Quantum Persistent Homology for Time Series. SEC 2022: 387-392 - [i8]Bernardo Ameneyro, George Siopsis, Vasileios Maroulas:
Quantum Persistent Homology for Time Series. CoRR abs/2211.04465 (2022) - [i7]Edward C. Mitchell, Brittany Story, David L. Boothe, Piotr J. Franaszczuk, Vasileios Maroulas:
A Topological Deep Learning Framework for Neural Spike Decoding. CoRR abs/2212.05037 (2022) - 2021
- [j13]Adam Spannaus, Kody J. H. Law, Piotr Luszczek, Farzana Nasrin, Cassie Putman Micucci, Peter K. Liaw, Louis Joseph Santodonato, David J. Keffer, Vasileios Maroulas:
Materials Fingerprinting Classification. Comput. Phys. Commun. 266: 108019 (2021) - [i6]Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar E. Carlsson:
Topological Deep Learning. CoRR abs/2101.05778 (2021) - [i5]Adam Spannaus, Kody J. H. Law, Piotr Luszczek, Farzana Nasrin, Cassie Putman Micucci, Peter K. Liaw, Louis Joseph Santodonato, David J. Keffer, Vasileios Maroulas:
Materials Fingerprinting Classification. CoRR abs/2101.05808 (2021) - [i4]Farzana Nasrin, Theodore Papamarkou, Vasileios Maroulas:
Random Persistence Diagram Generation. CoRR abs/2104.07737 (2021) - 2020
- [j12]Vasileios Maroulas, Cassie Putman Micucci, Adam Spannaus:
A stable cardinality distance for topological classification. Adv. Data Anal. Classif. 14(3): 611-628 (2020) - [j11]Vasileios Maroulas, Farzana Nasrin, Christopher Oballe:
A Bayesian Framework for Persistent Homology. SIAM J. Math. Data Sci. 2(1): 48-74 (2020) - [i3]Vasileios Maroulas, Cassie Putman Micucci, Farzana Nasrin:
Bayesian Topological Learning for Classifying the Structure of Biological Networks. CoRR abs/2009.11974 (2020)
2010 – 2019
- 2019
- [j10]Vasileios Maroulas, Joshua L. Mike, Christopher Oballe:
Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams. J. Mach. Learn. Res. 20: 151:1-151:49 (2019) - [c14]Farzana Nasrin, Christopher Oballe, David L. Boothe, Vasileios Maroulas:
Bayesian Topological Learning for Brain State Classification. ICMLA 2019: 1247-1252 - [i2]Farzana Nasrin, Christopher Oballe, David L. Boothe, Vasileios Maroulas:
Bayesian Topological Learning for Brain State Classification. CoRR abs/1912.08348 (2019) - 2018
- [j9]Andrew Marchese, Vasileios Maroulas:
Signal classification with a point process distance on the space of persistence diagrams. Adv. Data Anal. Classif. 12(3): 657-682 (2018) - [j8]Kai Kang, Vasileios Maroulas, Ioannis D. Schizas, Feng Bao:
Improved distributed particle filters for tracking in a wireless sensor network. Comput. Stat. Data Anal. 117: 90-108 (2018) - [j7]Piotr Luszczek, Jakub Kurzak, Ichitaro Yamazaki, David J. Keffer, Vasileios Maroulas, Jack J. Dongarra:
Autotuning Techniques for Performance-Portable Point Set Registration in 3D. Supercomput. Front. Innov. 5(4): 42-61 (2018) - [r2]Andrew Marchese, Vasileios Maroulas:
Probability Matrices. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i1]Vasileios Maroulas, Cassie Putman Micucci, Adam Spannaus:
A Stable Cardinality Distance for Topological Classification. CoRR abs/1812.01664 (2018) - 2017
- [j6]Ioannis Sgouralis, Andreas Nebenführ, Vasileios Maroulas:
A Bayesian Topological Framework for the Identification and Reconstruction of Subcellular Motion. SIAM J. Imaging Sci. 10(2): 871-899 (2017) - [j5]Feng Bao, Vasileios Maroulas:
Adaptive Meshfree Backward SDE Filter. SIAM J. Sci. Comput. 39(6) (2017) - 2016
- [j4]Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas:
Exploiting sensor mobility and covariance sparsity for distributed tracking of multiple sparse targets. EURASIP J. Adv. Signal Process. 2016: 53 (2016) - [j3]Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas:
Decentralized sparsity-based multi-source association and state tracking. Signal Process. 120: 627-643 (2016) - [c13]Seddik M. Djouadi, Vasileios Maroulas, Xiaoyang Pan, Jie Xiong:
On least-squares estimation for partially observed jump-diffusion processes. ACC 2016: 2717-2722 - [c12]Andrew Marchese, Vasileios Maroulas:
Topological learning for acoustic signal identification. FUSION 2016: 1377-1381 - [c11]Kai Kang, Vasileios Maroulas, Ioannis D. Schizas, Erik Blasch:
A multilevel homotopy MCMC sequential Monte Carlo filter for multi-target tracking. FUSION 2016: 2015-2021 - [c10]Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas:
Sparsity based multi-target tracking using mobile sensors. ICASSP 2016: 4578-4582 - 2015
- [j2]Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas:
Distributed spatio-temporal association and tracking of multiple targets using multiple sensors. IEEE Trans. Aerosp. Electron. Syst. 51(4): 2570-2589 (2015) - [c9]Andreas A. Malikopoulos, Vasileios Maroulas, Jie Xiong:
A multiobjective optimization framework for stochastic control of complex systems. ACC 2015: 4263-4268 - [c8]Vasileios Maroulas, Kai Kang, Ioannis D. Schizas, Michael W. Berry:
A learning drift homotopy particle filter. FUSION 2015: 1930-1937 - [c7]Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas:
Distributed spatio-temporal multi-target association and tracking. ICASSP 2015: 4010-4014 - [c6]Ioannis D. Schizas, Vasileios Maroulas:
Dynamic Data Driven Sensor Network Selection and Tracking. ICCS 2015: 2583-2592 - 2014
- [c5]Kai Kang, Vasileios Maroulas, Ioannis D. Schizas:
Drift homotopy particle filter for non-Gaussian multi-target tracking. FUSION 2014: 1-7 - [c4]Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas:
Joint sensors-sources association and tracking. SAM 2014: 205-208 - [r1]Vasileios Maroulas:
Probability Matrices. Encyclopedia of Social Network Analysis and Mining 2014: 1416-1418 - 2013
- [c3]Kai Kang, Vasileios Maroulas:
Drift homotopy methods for a non-Gaussian filter. FUSION 2013: 1088-1094 - [c2]Abiodun Aduroja, Ioannis D. Schizas, Vasileios Maroulas:
Distributed principal components analysis in sensor networks. ICASSP 2013: 5850-5854 - 2012
- [j1]Vasileios Maroulas, Panos Stinis:
Improved particle filters for multi-target tracking. J. Comput. Phys. 231(2): 602-611 (2012)
2000 – 2009
- 2009
- [c1]Emanuele Grossi, Marco Lops, Vasileios Maroulas:
A sequential procedure for simultaneous detection and state estimation of Markov signals. ISIT 2009: 654-658
Coauthor Index
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