stefanos eleftheriadis

Machine learning scientist

2023

S. Eleftheriadis, D. Richards, J. Hensman. Sparse Gaussian processes with spherical harmonics features revisited. arXiv.
[pdf] [bibtex]

@article{eleftheriadis2023sparse,
title={Sparse Gaussian Processes with Spherical Harmonic Features Revisited},
author={Eleftheriadis, Stefanos and Richards, Dominic and Hensman, James},
journal={arXiv preprint arXiv:2303.15948},
year={2023}
}

S. Eleftheriadis. Graph GPs as emulators for rebalancing Amazon’s supply chain network. UCL talk.
[pdf]

2020

V. Adam, S. Eleftheriadis, N. Durrande, A. Artemev, J. Hensman. Doubly sparse variational Gaussian processes. International Conference on Artificial Intelligence and Statistics (AISTATS).
[pdf] [supplementary] [bibtex]

@inproceedings{adam2020doubly,
title = 	 {Doubly sparse variational Gaussian processes},
author = 	 {Adam, Vincent and and Eleftheriadis, Stefanos and Durrande, Nicolas and Artemev, Artem and Hensman, James},
booktitle = 	 {Proceedings of the Twenty-Third International Conference on Artificial Intelligence and Statistics},
pages = {2874--2884},
year = 	 {2020},
volume = {108},
series = 	 {Proceedings of Machine Learning Research},
publisher = 	 {PMLR}
}

2019

N. Durrande, V. Adam, L. Bordeaux, S. Eleftheriadis, J. Hensman. Banded matrix operators for Gaussian Markov models in the automatic differentiation era. International Conference on Artificial Intelligence and Statistics (AISTATS).
[pdf] [supplementary] [bibtex]

@inproceedings{durrande2019banded,
title = 	 {Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation Era},
author = 	 {Durrande, Nicolas and Adam, Vincent and Bordeaux, Lucas and Eleftheriadis, Stefanos and Hensman, James},
booktitle = 	 {Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics},
pages = 	 {2780--2789},
year = 	 {2019},
volume = 	 {89},
series = 	 {Proceedings of Machine Learning Research},
publisher = 	 {PMLR},

2018

H. Salimbeni, S. Eleftheriadis, J. Hensman. Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models. International Conference on Artificial Intelligence and Statistics (AISTATS).
[pdf] [supplementary] [bibtex]

@inproceedings{salimbeni2018natgrads,
title = 	 {Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models},
author = 	 {Hugh Salimbeni and Stefanos Eleftheriadis and James Hensman},
booktitle = 	 {Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics},
pages = 	 {689--697},
year = 	 {2018},
volume = 	 {84},
series = 	 {Proceedings of Machine Learning Research},
publisher = 	 {PMLR}
}

2017

S. Eleftheriadis, T. F. W. Nicholson, M. P. Deisenroth, J. Hensman. Identification of Gaussian Process State Space Models. Advances in Neural Information Processing Systems (NIPS).
[pdf] [supplementary] [bibtex]

  @inproceedings{eleftheriadis2017identification,
  title={Identification of Gaussian Process State Space Models},
  author={Eleftheriadis, Stefanos and Nicholson, Thomas FW and Deisenroth, Marc Peter and Hensman, James},
  booktitle={Advances in Neural Information Processing Systems},
  pages={5315--5325},
  year={2017}
  }

S. Eleftheriadis, O. Rudovic, M. P. Deisenroth, M. Pantic. Gaussian Process Domain Experts for Modeling of Facial Affect. IEEE Transactions on Image Processing (TIP).
[pdf] [bibtex]

@article{eleftheriadis2017tip,
author = {S. Eleftheriadis and O. Rudovic and M. P. Deisenroth and M. Pantic},
pages = {4697--4711},
journal = {IEEE Transactions on Image Processing},
number = {10},
title = {Gaussian Process Domain Experts for Modeling of Facial Affect},
volume = {26},
year = {2017},
publisher={IEEE}
}

D. L. Tran, R. Walecki, O. Rudovic, S. Eleftheriadis, B. Schuller, M. Pantic. DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation. International Conference on Computer Vision (ICCV).
[pdf] [bibtex]

@inproceedings{tran2017deep,
title={DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation},
author={Tran, Dieu Linh and Walecki, Robert Rudovic, Ognjen and Eleftheriadis, Stefanos and Schuller, Bjoern and Pantic, Maja},
journal={arXiv preprint arXiv:1704.02206},
year={2017}
}

2016

S. Eleftheriadis, O. Rudovic, M. P. Deisenroth, M. Pantic. Variational Gaussian Process Auto-Encoder for Ordinal Prediction of Facial Action Units. Asian Conference on Computer Vision (ACCV).
[pdf] [bibtex]

@inproceedings{eleftheriadis2016variational,
title={Variational {G}aussian process auto-encoder for ordinal prediction of facial action units},
author={Eleftheriadis, Stefanos and Rudovic, Ognjen and Deisenroth, Marc Peter and Pantic, Maja},
booktitle={Asian Conference on Computer Vision},
pages={154--170},
year={2016},
organization={Springer}
}

S. Eleftheriadis, O. Rudovic, M. Pantic. Joint Facial Action Unit Detection and Feature Fusion: A Multi-Conditional Learning Approach. IEEE Transactions on Image Processing (TIP).
[pdf] [bibtex]

@article{eleftheriadis2016joint,
  author = {S. Eleftheriadis and O. Rudovic and M. Pantic},
  pages = {5727--5742},
  journal = {IEEE Transactions on Image Processing},
  number = {12},
  title = {Joint Facial Action Unit Detection and Feature Fusion: A Multi-conditional Learning Approach},
  volume = {25},
  year = {2016},
  publisher={IEEE}
}

S. Eleftheriadis, O. Rudovic, M. P. Deisenroth, M. Pantic. Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis. International Conference on Computer Vision and Pattern Recognition Workshops (CVPR-W).
[pdf] [bibtex]

@inproceedings{eleftheriadis2016gpde,
  author = {S. Eleftheriadis and O. Rudovic and M. P. Deisenroth and M. Pantic},
  booktitle = {International Conference on Computer Vision and Pattern Recognition Workshops},
  title = {Gaussian Process Domain Experts for Model Adaptation in Facial Behavior Analysis},
  pages={18--26},
  year = {2016}
}

2015

S. Eleftheriadis, O. Rudovic, M. Pantic. Multi-conditional Latent Variable Model for Joint Facial Action Unit Detection. International Conference on Computer Vision (ICCV).
[pdf] [bibtex]

@inproceedings{eleftheriadis2015multi,
title={Multi-conditional latent variable model for joint facial action unit detection},
author={Eleftheriadis, Stefanos and Rudovic, Ognjen and Pantic, Maja},
booktitle={Proceedings of the IEEE International Conference on Computer Vision},
pages={3792--3800},
year={2015}
}

S. Eleftheriadis, O. Rudovic, M. Pantic. Discriminative Shared Gaussian Processes for Multi-view and View-invariant Facial Expression Recognition. IEEE Transactions on Image Processing (TIP).
[pdf] [bibtex]

@article{eleftheriadis2015discriminative,
title={Discriminative shared gaussian processes for multiview and view-invariant facial expression recognition},
author={Eleftheriadis, Stefanos and Rudovic, Ognjen and Pantic, Maja},
journal={IEEE Transactions on Image Processing},
volume={24},
number={1},
pages={189--204},
year={2015},
publisher={IEEE}
}

2014

S. Eleftheriadis, O. Rudovic, M. Pantic. View-constrained Latent Variable Model for Multi-view Facial Expression Classification. International Symposium on Visual Computing (ISVC).
[pdf] [bibtex]

@inproceedings{eleftheriadis2014view,
title={View-constrained latent variable model for multi-view facial expression classification},
author={Eleftheriadis, Stefanos and Rudovic, Ognjen and Pantic, Maja},
booktitle={International Symposium on Visual Computing},
pages={292--303},
year={2014},
organization={Springer}
}

2013

S. Eleftheriadis, O. Rudovic, M. Pantic. Shared Gaussian Process Latent Variable Model for Multi-view Facial Expression Recognition. International Symposium on Visual Computing (ISVC).
[pdf] [bibtex]

@inproceedings{eleftheriadis2013shared,
title={Shared Gaussian process latent variable model for multi-view facial expression recognition},
author={Eleftheriadis, Stefanos and Rudovic, Ognjen and Pantic, Maja},
booktitle={International Symposium on Visual Computing},
pages={527--538},
year={2013},
organization={Springer}
}

2010

S. Georgoulis, S. Eleftheriadis, D. Tzionas, K. Vrenas, P. Petrantonakis, L. J. Hadjileontiadis. Epione: An Innovative Pain Management System Using Facial Expression Analysis, Biofeedback and Augmented Reality-based Distraction. Intelligent Networking and Collaborative Systems (INCOS).
[pdf] [bibtex]

@inproceedings{georgoulis2010epione,
title={Epione: An innovative pain management system using facial expression analysis, biofeedback and augmented reality-based distraction},
author={Georgoulis, S and Eleftheriadis, S and Tzionas, D and Vrenas, K and Petrantonakis, Panagiotis and Hadjileontiadis, Leontios J},
booktitle={International Conference on Intelligent Networking and Collaborative Systems},
pages={259--266},
year={2010},
organization={IEEE}
}

D. Tzionas, K. Vrenas, S. Eleftheriadis, S. Georgoulis, P. Petrantonakis, L. J. Hadjileontiadis. Phantom Limb Pain Management Using Facial Expression Analysis, Biofeedback and Augmented Reality Interfacing. International Conference on Software Development for Enhancing Accessibility and Fighting Infoexclusion (DSAI).
[pdf] [bibtex]

@inproceedings{tzionas2010phantom,
title={Phantom Limb Pain Management Using Facial Expression Analysis, Biofeedback and Augmented Reality Interfacing},
author={Tzionas, D and Vrenas, K and Eleftheriadis, S and Georgoulis, S and Petrantonakis, P and Hadjileontiadis, L. J.},
booktitle={Proceedings of the International Conference on Software Development for Enhancing Accessibility and Fighting Infoexclusion},
year={2010}
}

Thesis

S. Eleftheriadis. Gaussian Processes for Modeling of Facial Expressions. Imperial College London. PhD Thesis.
[pdf] [bibtex]

@phdthesis{eleftheriadis2016thesis,
    author = {S. Eleftheriadis},
    title = {Gaussian Processes for Modeling of Facial Expressions},
    year = {2016},
    school = {Imperial College London},
    address = {London, UK}
}