YANNIS PANTAZIS

YANNIS PANTAZIS

Yannis Pantazis, PhD, is a Principal Researcher at the Institute of Applied and Computational Mathematics of the Foundation of Research and Technology-Hellas, Greece. He received his BSc, MSc and PhD in Computer Science from the University of Crete in 2004, 2006 and 2010, respectively. He was a Postdoctoral Research Associate at the University of Massachusetts, Amherst from 2011 to 2015 and at the University of Crete between 2016 and 2017. His research interests include diverse areas of Data Science such as Applied Probability Theory, Uncertainty Quantification, Machine/Deep Learning, Signal/Speech Processing, Optimization Theory, Dynamical Systems and Bioinformatics. He is author of more than 35 referred scientific publications which has been presented in various high-ranking journals, conferences and workshops. In 2015, he received the 1st honorable mention (bronze medal) on DARPA’s Forecasting Chikungunya Outbreak Competition.
YANNIS
PANTAZIS
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G216 - Gamma Building
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• P. Dupuis, M. Katsoulakis, Y. Pantazis and L. Rey-Bellet, "Sensitivity Analysis for Rare Events based on Renyi Divergence", Annals of Applied Probability, 2019
• P. Dupuis, M. Katsoulakis, Y. Pantazis and P. Plechac, "Path-space Information Bounds for Uncertainty Quantification and Sensitivity Analysis of Stochastic Dynamics", SIAM Journal on Uncertainty Quantification, 2016
• Y. Pantazis and M. Katsoulakis, "A Relative Entropy Rate Method for Path Space Sensitivity Analysis of Stationary Complex Stochastic Dynamics", Journal of Chemical Physics, 138, 054115, 2013
• Y. Pantazis and I. Tsamardinos, "A Unified Approach for Sparse Dynamical System Inference from Temporal Measurements", Bioinformatics, 2019
• Y. Pantazis, D. Paul, M. Fasoulakis and Y. Stylianou, "Training Generative Adversarial Networks with Weights", EUSIPCO, 2019
• D. Paul, Y. Pantazis and Y. Stylianou, "Non-parallel Voice Conversion using Weighted Generative Adversarial Networks", INTERSPEECH, 2019
• Y. Pantazis, O. Rosec and Y. Stylianou, "Adaptive AM-FM Signal Decomposition with Application to Speech Analysis", IEEE Trans. on Audio, Speech and Language Processing , vol. 19, 2011
• Sensitivity analysis for stochastic processes
• Uncertainty quantification for rare events
• Sparse dynamical system inference
• Generative adversarial networks: theory and applications
• Speech transformations with deep neural nets
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