Pavlos Protopapas

发表

Solving Differential Equations Using Neural Network Solution Bundles pdf

Cedric Flamant, Pavlos Protopapas, David Sondak, 2020, ArXiv.

Hamiltonian Neural Networks for solving differential equations pdf

Pavlos Protopapas, David Sondak, Marios Mattheakis, 2020, ArXiv.

Estimation of periodicity in non-uniformly sampled astronomical data using a 2D kernel in correntropy

Pavlos Protopapas, Pablo A. Estévez, José Carlos Príncipe, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Gravitational Wave Detection and Information Extraction via Neural Networks pdf

Pavlos Protopapas, Tiago A. E. Ferreira, Gerson R. Santos, 2020, ArXiv.

SUPERVISED DETECTION OF ANOMALOUS LIGHT CURVES IN MASSIVE ASTRONOMICAL CATALOGS pdf

Pavlos Protopapas, Dae-Won Kim, Isadora nun, 2014, ArXiv.

An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves pdf

Pavlos Protopapas, Karim Pichara, Christian Pieringer, 2019, Monthly Notices of the Royal Astronomical Society.

Streaming Classification of Variable Stars pdf

Pavlos Protopapas, Karim Pichara, Lukas Zorich, 2019, Monthly Notices of the Royal Astronomical Society.

Recurrent Neural Network Applications for Astronomical Time Series

Pavlos Protopapas, P. Protopapas, 2017 .

CLUSTERING-BASED FEATURE LEARNING ON VARIABLE STARS pdf

Pavlos Protopapas, Karim Pichara, Cristóbal Mackenzie, 2016, ArXiv.

Robust Period Estimation Using Mutual Information for Multiband Light Curves in the Synoptic Survey Era pdf

Pavlos Protopapas, Pablo A. Estévez, Francisco Förster, 2017, ArXiv.

Modeling the Effects of Students' Interactions with Immersive Simulations using Markov Switching Systems

Ya'akov Gal, Pavlos Protopapas, Andee Rubin, 2018, EDM.

Workshop on Algorithms for Time-Series Analysis

Pavlos Protopapas, 2011 .

Semi-parametric Robust Event Detection for Massive Time-Domain Databases

Pavlos Protopapas, Alexander W Blocker, P. Protopapas, 2013, 1301.3027.

Finding anomalous periodic time series

Pavlos Protopapas, Carla E. Brodley, Umaa Rebbapragada, 2009, Machine Learning.

Optimizing the Multiclass F-Measure via Biconcave Programming

Pavlos Protopapas, Harikrishna Narasimhan, Weiwei Pan, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases

Pavlos Protopapas, Pablo A. Estévez, José Carlos Príncipe, 2014, IEEE Computational Intelligence Magazine.

Scalable End-to-end Recurrent Neural Network for Variable star classification pdf

Pavlos Protopapas, Karim Pichara, Carlos Aguirre, 2020, Monthly Notices of the Royal Astronomical Society.

Finding Anomalous Periodic Time Series: An Application to Catalogs of Periodic Variable Stars pdf

Pavlos Protopapas, Carla E. Brodley, Umaa Rebbapragada, 2009, arXiv.org.

AUTOMATIC CLASSIFICATION OF VARIABLE STARS IN CATALOGS WITH MISSING DATA pdf

Pavlos Protopapas, Karim Pichara, P. Protopapas, 2013, ArXiv.

FATS: Feature Analysis for Time Series

Pavlos Protopapas, Ming Zhu, Karim Pichara, 2015, 1506.00010.

Kernels for Periodic Time Series Arising in Astronomy

Pavlos Protopapas, Roni Khardon, Charles R. Alcock, 2009, ECML/PKDD.

Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures

Pavlos Protopapas, Eamonn J. Keogh, Eamonn Keogh, 2008, The VLDB Journal.

NONPARAMETRIC BAYESIAN ESTIMATION OF PERIODIC LIGHT CURVES pdf

Pavlos Protopapas, Roni Khardon, Yuyang Wang, 2011, 1111.1315.

T-CGAN: Conditional Generative Adversarial Network for Data Augmentation in Noisy Time Series with Irregular Sampling pdf

Pavlos Protopapas, Marco Brambilla, Giorgia Ramponi, 2018, ArXiv.

Automatic QSO Selection Algorithm Using Time Series Analysis and Machine Learning

Pavlos Protopapas, Roni Khardon, Dae-Won Kim, 2011 .

Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models pdf

Pavlos Protopapas, Weiwei Pan, Marouan Belhaj, 2018, ArXiv.

A Novel GUI Based Interactive Work Flow Application for Exploratory and Batch Processing of Light Curves

Pavlos Protopapas, Eiharu Morikawa, Rahul Surendra Dave, 2008 .

A NOVEL, FULLY AUTOMATED PIPELINE FOR PERIOD ESTIMATION IN THE EROS 2 DATA SET pdf

Pavlos Protopapas, Pablo A. Estévez, José Carlos Príncipe, 2014, ArXiv.

Event Discovery in Astronomical Time Series

Pavlos Protopapas, Carla E. Brodley, David Seth Preston, 2009 .

A transfer learning approach for data-driven turbulence modeling

Sauro Succi, Pavlos Protopapas, David Sondak, 2018 .

Cost-Sensitive Batch Mode Active Learning: Designing Astronomical Observation by Optimizing Telescope Time and Telescope Choice

Pavlos Protopapas, Finale Doshi-Velez, Xide Xia, 2016, SDM.

Unsupervised Neural Networks for Quantum Eigenvalue Problems pdf

Pavlos Protopapas, Marios Mattheakis, Henry Jin, 2020, ArXiv.

Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks pdf

Pavlos Protopapas, David Sondak, Dylan Randle, 2020, ArXiv.

Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread pdf

Pavlos Protopapas, Marios Mattheakis, Marco Brambilla, 2020, ArXiv.

A Refined QSO Selection Method Using Diagnostics

Pavlos Protopapas, Roni Khardon, Dae-Won Kim, 2011, Proceedings of the International Astronomical Union.

Period detection in light curves from astronomical objects using correntropy

Pavlos Protopapas, Pablo A. Estévez, José Carlos Príncipe, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Matching Embeddings for Domain Adaptation

Pavlos Protopapas, Guillermo Cabrera-Vives, Marouan Belhaj, 2019 .

NeuroDiffEq: A Python package for solving differential equations with neural networks

Pavlos Protopapas, David Sondak, Marios Mattheakis, 2020, J. Open Source Softw..

An Information Theory Approach on Deciding Spectroscopic Follow Ups pdf

Pavlos Protopapas, Karim Pichara, Pablo Huijse, 2019, ArXiv.

An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves

Pavlos Protopapas, Pablo A. Estévez, José Carlos Príncipe, 2012, IEEE Transactions on Signal Processing.

A New Artificial Neuron Proposal with Trainable Simultaneous Local and Global Activation Function pdf

Pavlos Protopapas, Tiago A. E. Ferreira, Marios Mattheakis, 2021, ArXiv.

Discovering arbitrary event types in time series

Pavlos Protopapas, Carla E. Brodley, Dan Preston, 2009, Stat. Anal. Data Min..

Finding Multiple Solutions of ODEs with Neural Networks

Pavlos Protopapas, David Sondak, Marco Brambilla, 2020, AAAI Spring Symposium: MLPS.

A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification

Pavlos Protopapas, Belen Saldias-Fuentes, B. KarimPichara, 2019, SDM.

Application of Machine Learning to Predict the Risk of Alzheimer's Disease: An Accurate and Practical Solution for Early Diagnostics pdf

Pavlos Protopapas, David Castineira, Courtney Cochrane, 2020, ArXiv.

Adversarial Variational Domain Adaptation pdf

Pavlos Protopapas, Guillermo Cabrera-Vives, Nicolas Astorga, 2019, ArXiv.

Efficient Optimization of Echo State Networks for Time Series Datasets

Pavlos Protopapas, Nikos Gianniotis, Jacob Reinier Maat, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Event Discovery in Time Series

Pavlos Protopapas, Carla E. Brodley, Dan Preston, 2009, SDM.

Period Estimation in Astronomical Time Series Using Slotted Correntropy

Pavlos Protopapas, Pablo A. Estévez, José Carlos Príncipe, 2011, IEEE Signal Processing Letters.

Improving Image Classification Robustness through Selective CNN-Filters Fine-Tuning pdf

Alessandro Bianchi, Pavlos Protopapas, Marco Brambilla, 2019, ArXiv.

Uncertain Classification of Variable Stars: Handling Observational GAPS and Noise

Pavlos Protopapas, Karim Pichara, Nicolas Castro, 2017, 1801.09732.

Shift-Invariant Grouped Multi-task Learning for Gaussian Processes

Pavlos Protopapas, Roni Khardon, Yuyang Wang, 2010, ECML/PKDD.

MPCC: Matching Priors and Conditionals for Clustering

Pavlos Protopapas, Pablo Huijse, Nicol'as Astorga, 2020, ECCV.

Deep Learning for Image Sequence Classification of Astronomical Events

Pavlos Protopapas, Francisco Förster, Guillermo Cabrera-Vives, 2018, Publications of the Astronomical Society of the Pacific.

Building astroBERT, a language model for Astronomy & Astrophysics pdf

Pavlos Protopapas, Alberto Accomazzi, Carolyn S. Grant, 2021, ArXiv.

Unsupervised Reservoir Computing for Solving Ordinary Differential Equations pdf

Pavlos Protopapas, Marios Mattheakis, Hayden Joy, 2021, ArXiv.

Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow pdf

Pavlos Protopapas, David Sondak, Haitz S'aez de Oc'ariz Borde, 2021, ArXiv.

Adversarial Sampling for Solving Differential Equations with Neural Networks pdf

Pavlos Protopapas, Kshitij Parwani, 2021, ArXiv.

One-Shot Transfer Learning of Physics-Informed Neural Networks pdf

Pavlos Protopapas, Marios Mattheakis, Stephen Roberts, 2021, ArXiv.

Uncertainty Quantification in Neural Differential Equations pdf

Pavlos Protopapas, Karim Pichara, Olga Graf, 2021, ArXiv.

Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems

Pavlos Protopapas, David Sondak, Marios Mattheakis, 2021, Physical review. E.

Learning a reduced basis of dynamical systems using an autoencoder.

Pavlos Protopapas, David Sondak, P. Protopapas, 2020, Physical review. E.

Encoding Involutory Invariance in Neural Networks pdf

Pavlos Protopapas, Marios Mattheakis, Anwesh Bhattacharya, 2021, ArXiv.

QSO Selection Algorithm Using Time Variability and Machine Learning: Selection of 1,620 QSO Candidates from MACHO LMC Database

Pavlos Protopapas, Roni Khardon, Dae-Won Kim, 2011, 1101.3316.

Eclipsing Binary Stars in the Large and Small Magellanic Clouds from the MACHO Project: The Sample

Pavlos Protopapas, Kem Cook, Gabriel E. Prochter, 2007, 0711.1617.

META-CLASSIFICATION FOR VARIABLE STARS

Pavlos Protopapas, Karim Pichara, P. Protopapas, 2016, 1601.03013.

The EPOCH Project - I. Periodic variable stars in the EROS-2 LMC database

Pavlos Protopapas, Dae-Won Kim, Min-Su Shin, 2014, 1403.6131.

QUASI-STELLAR OBJECT SELECTION ALGORITHM USING TIME VARIABILITY AND MACHINE LEARNING: SELECTION OF 1620 QUASI-STELLAR OBJECT CANDIDATES FROM MACHO LARGE MAGELLANIC CLOUD DATABASE

Pavlos Protopapas, Roni Khardon, Dae-Won Kim, 2011 .

Fast and optimal nonparametric sequential design for astronomical observations

Pavlos Protopapas, Luke Bornn, L. Bornn, 2015, 1501.02467.

The High Cadence Transit Survey (HiTS): Compilation and Characterization of Light-curve Catalogs

Pavlos Protopapas, Francisco Förster, Giuliano Pignata, 2018, The Astronomical Journal.

Pavlos Protopapas, Dae-Won Kim, Yong-Ik Byun, 2008, 0812.1010.

IVOA Recommendation: Spectrum Data Model 1.1

Pavlos Protopapas, Omar Laurino, Kelly McCusker, 2012 .

Deep learning for turbulent channel flow

Sauro Succi, Pavlos Protopapas, David Sondak, 2018, 1812.02241.

A REFINED QSO SELECTION METHOD USING DIAGNOSTICS TESTS: 663 QSO CANDIDATES IN THE LARGE MAGELLANIC CLOUD

Pavlos Protopapas, Roni Khardon, Dae-Won Kim, 2011, 1110.5632.

Automatic Survey-invariant Classification of Variable Stars

Pavlos Protopapas, Karim Pichara, P. Protopapas, 2017, 1801.09737.

Deep Learning for Image Sequence Classification of Astronomical Events

Pavlos Protopapas, Guillermo Cabrera-Vives, Pablo Huijse, 2018, Publications of the Astronomical Society of the Pacific.

Multiband Galaxy Morphologies for CLASH: A Convolutional Neural Network Transferred from CANDELS

Pavlos Protopapas, Marc Huertas-Company, Guillermo Cabrera-Vives, 2018, Publications of the Astronomical Society of the Pacific.

ENSEMBLE LEARNING METHOD FOR OUTLIER DETECTION AND ITS APPLICATION TO ASTRONOMICAL LIGHT CURVES

Pavlos Protopapas, Isadora Nun, Brandon Sim, 2016 .