Vasileios Maroulas

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 39

Top Topics

Probability Density

Diffusion Process

Nonparametric Estimation

Top Venues

Adv. Data Anal. Classif.

Publications

Wyatt Mackey, Ioannis D. Schizas, Jared Deighton, David L. Boothe, Vasileios Maroulas
Geometric sparsification in recurrent neural networks. CoRR (2024)
Jared Deighton, Wyatt Mackey, Ioannis D. Schizas, David L. Boothe, Vasileios Maroulas
Higher-Order Spatial Information for Self-Supervised Place Cell Learning. CoRR (2024)
Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar 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 (2024)
Sathyanarayanan Rengaswami, Theodora Bourni, Vasileios Maroulas
On the Relation between Graph Ricci Curvature and Community Structure. CoRR (2024)
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 (2024)
Bernardo Ameneyro, Rebekah Herrman, George Siopsis, Vasileios Maroulas
Quantum Distance Approximation for Persistence Diagrams. CoRR (2024)
Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar Carlsson
Topological Convolutional Layers for Deep Learning. J. Mach. Learn. Res. 24 (2023)
Andreas C. Aristotelous, Edward C. Mitchell, Vasileios Maroulas
ADLGM: An efficient adaptive sampling deep learning Galerkin method. J. Comput. Phys. 477 (2023)
Edward C. Mitchell, Brittany Story, David L. Boothe, Piotr J. Franaszczuk, Vasileios Maroulas
A Topological Deep Learning Framework for Neural Spike Decoding. CoRR (2022)
Theodore Papamarkou, Farzana Nasrin, Austin Lawson, Na Gong, Orlando Rios, Vasileios Maroulas
A random persistence diagram generator. Stat. Comput. 32 (1) (2022)
Bernardo Ameneyro, George Siopsis, Vasileios Maroulas
Quantum Persistent Homology for Time Series. SEC (2022)
Bernardo Ameneyro, George Siopsis, Vasileios Maroulas
Quantum Persistent Homology for Time Series. CoRR (2022)
Ephy R. Love, Benjamin Filippenko, Vasileios Maroulas, Gunnar Carlsson
Topological Deep Learning. CoRR (2021)
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 (2021)
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 (2021)
Farzana Nasrin, Theodore Papamarkou, Vasileios Maroulas
Random Persistence Diagram Generation. CoRR (2021)
Vasileios Maroulas, Cassie Putman Micucci, Adam Spannaus
A stable cardinality distance for topological classification. Adv. Data Anal. Classif. 14 (3) (2020)
Vasileios Maroulas, Cassie Putman Micucci, Farzana Nasrin
Bayesian Topological Learning for Classifying the Structure of Biological Networks. CoRR (2020)
Vasileios Maroulas, Farzana Nasrin, Christopher Oballe
A Bayesian Framework for Persistent Homology. SIAM J. Math. Data Sci. 2 (1) (2020)
Vasileios Maroulas, Joshua L. Mike, Christopher Oballe
Nonparametric Estimation of Probability Density Functions of Random Persistence Diagrams. J. Mach. Learn. Res. 20 (2019)
Farzana Nasrin, Christopher Oballe, David L. Boothe, Vasileios Maroulas
Bayesian Topological Learning for Brain State Classification. CoRR (2019)
Farzana Nasrin, Christopher Oballe, David L. Boothe, Vasileios Maroulas
Bayesian Topological Learning for Brain State Classification. ICMLA (2019)
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) (2018)
Andrew Marchese, Vasileios Maroulas
Signal classification with a point process distance on the space of persistence diagrams. Adv. Data Anal. Classif. 12 (3) (2018)
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 (2018)
Vasileios Maroulas, Cassie Putman Micucci, Adam Spannaus
A Stable Cardinality Distance for Topological Classification. CoRR (2018)
Feng Bao, Vasileios Maroulas
Adaptive Meshfree Backward SDE Filter. SIAM J. Sci. Comput. 39 (6) (2017)
Ioannis Sgouralis, Andreas Nebenführ, Vasileios Maroulas
A Bayesian Topological Framework for the Identification and Reconstruction of Subcellular Motion. SIAM J. Imaging Sci. 10 (2) (2017)
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 (2016)
Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas
Sparsity based multi-target tracking using mobile sensors. ICASSP (2016)
Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas
Decentralized sparsity-based multi-source association and state tracking. Signal Process. 120 (2016)
Seddik M. Djouadi, Vasileios Maroulas, Xiaoyang Pan, Jie Xiong
On least-squares estimation for partially observed jump-diffusion processes. ACC (2016)
Andrew Marchese, Vasileios Maroulas
Topological learning for acoustic signal identification. FUSION (2016)
Kai Kang, Vasileios Maroulas, Ioannis D. Schizas, Erik Blasch
A multilevel homotopy MCMC sequential Monte Carlo filter for multi-target tracking. FUSION (2016)
Ioannis D. Schizas, Vasileios Maroulas
Dynamic Data Driven Sensor Network Selection and Tracking. ICCS (2015)
Andreas A. Malikopoulos, Vasileios Maroulas, Jie Xiong
A multiobjective optimization framework for stochastic control of complex systems. ACC (2015)
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) (2015)
Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas
Distributed spatio-temporal multi-target association and tracking. ICASSP (2015)
Vasileios Maroulas, Kai Kang, Ioannis D. Schizas, Michael W. Berry
A learning drift homotopy particle filter. FUSION (2015)
Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas
Joint sensors-sources association and tracking. SAM (2014)
Kai Kang, Vasileios Maroulas, Ioannis D. Schizas
Drift homotopy particle filter for non-Gaussian multi-target tracking. FUSION (2014)
Abiodun Aduroja, Ioannis D. Schizas, Vasileios Maroulas
Distributed principal components analysis in sensor networks. ICASSP (2013)
Kai Kang, Vasileios Maroulas
Drift homotopy methods for a non-Gaussian filter. FUSION (2013)
Vasileios Maroulas, Panos Stinis
Improved particle filters for multi-target tracking. J. Comput. Phys. 231 (2) (2012)
Emanuele Grossi, Marco Lops, Vasileios Maroulas
A sequential procedure for simultaneous detection and state estimation of Markov signals. ISIT (2009)