I am an Associate Professor of machine learning and signal processing, currently serving as Director of MSc in Language Technology at the Department of Informatics and Telecommunications, University of Athens. Additionally, I am a Senior Researcher at Archimedes AI, Athena RC. Previously, I held positions at Samsung AI Research Centre in Cambridge and Imperial College London. I obtained my Ph.D. and MSc degrees from Aristotle University of Thessaloniki, and a BSc from the University of Athens.

My research focuses on advancing AI for robust information processing across modalities such as vision, audio, language, and neural signals. I am particularly interested in mathematical aspects of deep learning related to generalization, compression, robustness, and interpretation and their interface with tensor methods. I have contributed over 100 articles on the above topics in leading journals and conferences and received several research grants and awards.

PUBLICATIONS

Google Scholar | dblp

JOURNALS

Y. Panagakis, J. Kossaifi, G Chrysos, J. Oldfield, M. Nicolaou, A. Anandkumar, and S. Zafeiriou
Tensor methods in computer vision and deep learning
Proceedings of the IEEE, 2021.
G. Chrysos, S. Moschoglou, G. Bouritsas, J Deng, Y. Panagakis, and S. Zafeiriou
Deep polynomial neural networks
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
J. Kossaifi, R. Walecki, Y. Panagakis, J. Shen, M. Schmitt, F. Ringeval, J. Han, V. Pandit, A. Toisoul, B. W. Schuller, K. Star, E. Hajiyev, and M. Pantic
SEWA DB: A rich database for audio-visual emotion and sentiment research in the wild
IEEE Transactions on Pattern Analysis Machine Intelligence, 2021.
A. Kolbeinsson, J. Kossaifi, Y. Panagakis, A. Bulat, A. Anandkumar, I. Tzoulaki, and P. Matthews
Tensor Dropout for robust learning
IEEE Journal of Selected Topics in Signal Processing, 2021.
M. Georgopoulos, J. Oldfieeld, M. Nicolaou, Y. Panagakis, and M. Pantic
Mitigating demographic bias in facial datasets with style-based multi-attribute transfer
International Journal of Computer Vision, 2021.
J. Oldfieeld, Y. Panagakis, and M. Nicolaou
Adversarial learning of disentangled and generalizable representations of visual attributes
IEEE Transactions on Neural Networks and Learning Systems, 2021.
M. Georgopoulos, Y. Panagakis, and M. Pantic
Investigating bias in deep face analysis: The KANFace dataset and empirical study
Image and Vision Computing, 2020
A. Kolbeinsson, S. Filippi, Y. Panagakis, P. M Matthews, P. Elliott, A. Dehghan, and I. Tzoulaki
Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disorders
Nature Scientific reports, 2020.
G. Chrysos and Y. Panagakis
NAPS: Non-adversarial polynomial synthesis
Pattern Recognition Letters, 2020.
J. Pu, Y. Panagakis, and M. Pantic
Active speaker detection and localization in videos using low-rank and kernelized sparsity
IEEE Signal Processing Letters, 2020.
J. Pu, Y. Panagakis, S. Petridis, J. Shen, and M. Pantic
Blind audio-visual localization and separation via low-rank and sparsity
IEEE Transactions on Cybernetics, 2020.
M. Wang, Z. Shu S. Cheng, Y. Panagakis, D. Samaras, and S. Zafeiriou
An adversarial neuro-tensorial approach for learning disentangled representations
International Journal of Computer Vision, 2019.
L. Tran, J. Kossaifi, Y. Panagakis, and M. Pantic
Disentangling geometry and appearance with regularised geometry-aware generative adversarial networks
International Journal of Computer Vision, 2019.
J. Kossaifi, Y. Panagakis, A. Anandkumar, and M. Pantic
TensorLy: Tensor learning in Python
Journal of Machine Learning Research, 2018.
V. Gligorijevic, Y. Panagakis, and S. Zafeiriou
Non-negative matrix factorizations for multiplex network analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018.
N. Xue, J. Deng, S. Cheng, Y. Panagakis, and S. Zafeiriou
Side information for face completion: A robust PCA approach
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019.
M. Bahri, Y. Panagakis, and S. Zafeiriou
Robust Kronecker component analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018.
V. Hovhannisyan, Y. Panagakis, P. Parpas, and S. Zafeiriou
Fast multilevel algorithms for compressive principal component pursuit
SIAM Journal on Imaging Sciences, 2018.
C. Georgakis, Y. Panagakis, and M. Pantic
Dynamic behaviour analysis via structured rank minimization
Internatinal Journal of Computer Vision, 2018.
M. Georgopoulos, Y. Panagakis, and M. Pantic
Modelling of facial aging and kinship: A survey
Image and Vision Computing Journal, 2018.
S. Moschoglou, E. Ververas, Y. Panagakis, M. Nicolaou, and S. Zafeiriou
Multi-attribute robust component analysis for facial UV maps
IEEE Journal of Selected Topics in Signal Processing, 2018.
J. Booth, E. Antonakos, S. Ploumpis, G. Trigeorgis, Y. Panagakis, and S. Zafeiriou
3D Reconstruction of “in-the-wild” faces in images and videos
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018.
C. Sagonas, E. Ververas, Y. Panagakis, and S. Zafeiriou
Recovering joint and individual components in facial data
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017.
M. Wang, Y. Panagakis, P. Snape, and S. Zafeiriou
Disentangling the modes of variation in unlabelled data
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017.
C. Sagonas, Y. Panagakis, S. Zafeiriou, and M. Pantic
Robust statistical frontalization of human and animal faces
International Journal of Computer Vision, 2016.
C. Georgakis, Y. Panagakis, S. Zafeiriou, and M. Pantic
The Conflict Escalation Resolution (CONFER) database
Image and Vision Computing Journal, 2017.
L. Zafeiriou, Y. Panagakis, M. Pantic, and S. Zafeiriou
Non-negative decompositions for analysis of dynamic visual data
IEEE Transactions on Image Processing, 2017.
Y. Panagakis, M. Nicolaou, S. Zafeiriou, and M. Pantic
Robust correlated and individual component analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016.
C. Georgakis, Y. Panagakis, and M. Pantic
Discriminant incoherent components analysis
IEEE Transactions on Image Processing, 2016.
Y. Panagakis, C. Kotropoulos, and G. R. Arce
Music genre classification via joint sparse low-rank representation of audio features
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2014.
Y. Panagakis and C. Kotropoulos
Elastic net subspace clustering applied to pop/rock music structure analysis
Pattern Recognition Letters, 2014.
Y. Panagakis and C. Kotropoulos
Telephone handset identification by collaborative representations
Int. Journal Digital Crime and Forensics, 2013.
Y. Panagakis and C. Kotropoulos
Music classification by low-rank semantic mappings
EURASIP Journal Audio, Speech, and Music Processing, 2013.
Y. Panagakis, C. Kotropoulos, and G. R. Arce
Non-negative multilinear principal component analysis of auditory temporal modulations for music genre classification
IEEE Transactions on Audio, Speech, and Language Processing, 2010.
M. Kotti, D. Ververidis, G. Evangelopoulos, Y. Panagakis, C. Kotropoulos, P. Maragos, and I. Pitas
Audio-assisted movie dialogue detection
IEEE Transactions on Circuits and Systems for Video Technology, 2008.

CONFERENCES

C. Papadopoulos, Y. Panagakis, M. Koubarakis, and M. Nicolaou
Efficient learning of multiple NLP tasks via collective weight factorization on BERT
NAACL 2022
M. Georgopoulos, J. Oldfield, G. Chrysos, and Y. Panagakis
Cluster-guided image synthesis with unconditional models
CVPR 2022.
J. Oldfield, M. Georgopoulos, Y. Panagakis, M. Nicolaou, and I. Patras
Tensor component analysis for interpreting the latent space of GANs
BMVC 2021.
A. Bulat, J. Kossaifi, S. Bhattacharya, Y. Panagakis, T. Hospedales, G. Tzimiropoulos, N. Lane, M. Pantics
Defensive tensorization
BMVC 2021.
G. Chrysos, M. Georgopoulos, and Y. Panagakis:
Conditional generation using polynomial expansions
NeurIPS 2021.
J. Pu, Y. Panagakis, and M. Pantic
Learning separable time-frequency filterbanks for audio classification
ICASSP 2021.
J. Kossaifi, A. Toisoul, A. Bulat, Y. Panagakis, T. Hospedales, and M. Pantic
Factorized higher-order CNNs with an application to spatio-temporal emotion estimation
CVPR 2020
G. Chrysos, S. Moschoglou, G. Bouritsas, Y. Panagakis, J. Deng, and S. Zafeiriou
P-nets: Deep polynomial neural networks
CVPR 2020
M. Georgopoulos, J. Oldfield, M. Nicolaou, Y. Panagakis, and M. Pantic
Enhancing facial data diversity with style-based face aging
CVPR Workshops 2020
T. Kefalas, K. Vougioukas, Y.Panagakis, S. Petridis, J. Kossaifi, and M. Pantic
Speech-driven facial animation using polynomial fusion of features
ICASSP 2020
J. Pu, Y. Panagakis, and Maja Pantic
Learning differentiable sparse and low rank networks for audio-visual object localization
ICASSP 2020
M. Georgopoulos, G. Chrysos, M. Pantic, and Y. Panagakis
Multilinear latent conditioning for generating unseen attribute combinations
ICML 2020
A. Mitenkova, J. Kossaifi, Y. Panagakis, and M. Pantic:
Valence and arousal estimation in-the-wild with tensor methods
ICASSP 2019
J. Pu, Y. Panagakis, and M. Pantic
Learning low-rank and sparse models via robust autoencoders
FG 2019
J. Kossaifi, L. Tran, Y. Panagakis, and M. Pantic
GAGAN: Geometry aware generative adverserial networks
CVPR, 2018
N. Xue, J. Deng, Y. Panagakis, and S Zafeiriou
Informed non-convex robust principal component analysis with features
AAAI, 2018
https://ieeexplore.ieee.org/document/8373855 R. Vereecken, S. Petridis, Y. Panagakis, and M. Pantic
Online attention for interpretable conflict estimation in political debates
IEEE FG, 2018
M. Bahri, Y. Panagakis, and S. Zafeiriou
Robust Kronecker-decomposable component analysis for low-rank modeling
ICCV, 2017
N. Xue, Y. Panagakis, and S. Zafeiriou
Side information in robust principle component analysis: Algorithms and applications
ICCV, 2017
V. Hovhannisyan, Y. Panagakis, P. Parpas, and S. Zafeiriou
Multilevel approximate robust principal component analysis
ICCV-W, 2017
C. Sagonas, Y. Panagakis, A. Leidinger, and S Zafeiriou
Robust joint and individual variance explained
CVPR, 2017
M. Wang, Y. Panagakis, P. Snape, and S. Zafeiriou
Learning the Multilinear Structure of Visual Data
CVPR, 2017
J. Booth, E. Antonakos, S. Ploumpis, G. Trigeorgis, Y. Panagakis, and S. Zafeiriou
3D Face Morphable Models "In-the-Wild"
CVPR, 2017
S. Moschoglou, M. Nicolaou, Y. Panagakis, and S. Zafeiriou
Initializing probabilistic discriminant analysis
EUSIPCO, 2017
N. Xue, G. Papamakarios, M. Bahri, Y. Panagakis, and S. Zafeiriou
Robust low-rank tensor modelling using Tucker and CP decompositions
EUSIPCO, 2017
C. Georgakis, Y. Panagakis, and M. Pantic
Behavior Prediction In-The-Wild
ACII, 2017
E. Fotiadou, Y. Panagakis, and M. Pantic
Temporal Archetypal Analysis for Action Segmentation
IEEE FG, 2017
J. Pu, Y. Panagakis, S. Petridis, and M. Pantic
Audio-Visual object localization and separation using low-rank and sparsity
ICASSP, 2017
J. Kossaifi, Y. Panagakis, and M. Pantic
TensorLy: Tensor learning in Python
NIPS (Tensor-Learn Workshop), 2016
C. Sagonas, Y. Panagakis, S. Arunkumar, N. Ratha, and S. Zafeiriou
Back to the future: A fully automatic method for robust age progression
ICPR, 2016
V. Gligorijevic, Y. Panagakis, and S. Zafeiriou
Fusion and community detection in multi-layer graphs
ICPR, 2016
P. Snape, A. Roussos, Y. Panagakis, and S. Zafeiriou
Face flow
ICCV, 2015
C. Sagonas, Y. Panagakis, S. Zafeiriou, and M. Pantic
Robust statistical face frontalization
ICCV, 2015
P. Snape, Y. Panagakis, and S. Zafeiriou
Automatic construction of robust spherical harmonic subspaces
CVPR, 2015
G. Papamakarios, Y. Panagakis, and S. Zafeiriou
Generalised scalable robust principal component analysis
BMVC, 2014
C. Sagonas, Y. Panagakis, S. Zafeiriou, and M. Pantic
RAPS: Robust and efficient automatic construction of person-specific deformable models
CVPR, 2014
Y. Panagakis, S. Zafeiriou, and M. Pantic
Audiovisual conflict detection in political debates
ECCV-W, 2014
M. A. Nicolaou, Y. Panagakis, S. Zafeiriou, and M. Pantic
Robust canonical correlation analysis: Audio-visual fusion for learning continuous interest
ICASSP, 2014
Y. Panagakis, M. Nicolaou, S. Zafeiriou, and M. Pantic
Robust canonical time warping for the alignment of grossly corrupted sequences
CVPR, 2013
A. Theodorids, C. Kotropoulos, and Y. Panagakis
Music recommendation using hypergraphs and group sparsity
ICASSP, 2013
Y. Panagakis and C. Kotropoulos
Telephone handset identification by feature selection and sparse representations
WIFS, 2012
Y. Panagakis and C. Kotropoulo
Music structure analysis by ridge regression of beat-synchronous audio features
ISMIR, 2012
Y. Panagakis and C. Kotropoulos
Automatic telephone handset identification by sparse representation of random spectral features
MMSEC, 2012
Y. Panagakis and C. Kotropoulos
Music structure analysis by subspace modeling
EUSIPCO, 2012
Y.Panagakis and C.Kotropoulos
Automatic music tagging by low-rank representation
ICASSP, 2012
Y. Panagakis and C. Kotropoulos
Automatic music mood classification via low-rank representation
EUSIPCO, 2011
Y. Panagakis, C.Kotropoulos, and G. R. Arce
l1-graph based music structure analysis
ISMIR, 2011
Y. Panagakis and C. Kotropoulos
Automatic music tagging via PARAFAC2
ICASSP, 2011
Y. Panagakis and C. Kotropoulos
Music genre classification using topology preserving non-negative tensor factorization and sparse representations
ICASSP, 2010
C. Kotropoulos, G. R. Arce, and Y. Panagakis
Ensemble discriminant sparse projections applied to music genre classification
ICPR, 2010
Y. Panagakis, C. Kotropoulos, and G. R. Arce
Sparse multi-label linear embedding nonnegative tensor factorization for automatic music tagging
EUSIPCO, 2010
Y. Panagakis, C. Kotropoulos, and G. R. Arce
Sparse multi-label linear embedding within nonnegative tensor factorization applied to music tagging
ISMIR, 2010
Y. Panagakis, C. Kotropoulos, and G. R. Arce
Music genre classification via sparse representation of auditory temporal modulations
EUSIPCO, 2009
Y. Panagakis, C. Kotropoulos, and G. R. Arce
Music genre classification using locality preserving non-negative tensor factorization and sparse representations
ISMIR, 2009
Y. Panagakis, E. Benetos, and C. Kotropoulos
Music genre classification: A multilinear approach
ISMIR, 2008

TEACHING

UNDERGRADUATE

Signals and Systems (K11), Fall 2020 - present
Pattern Recognition - Machine Learning (EP08), Spring 2020 - present
Information Theory (K35), Fall 2020

POSTGRADUATE

Advanced Machine Learning (M124), Spring 2020 - present
Machine Learning (M916-MSc in Language Technology), Spring 2021 - present

CONTACT

Yannis Panagakis, PhD
Associate Professor
Dept. of Informatics and Telecommunications
National and Kapodistrian University of Athens

YANNIS PANAGAKIS