Music Genre Classification: A Multilinear Approach. - Ioannis Panagakis; Emmanouil Benetos; Constantine Kotropoulos (ISMIR, 2008)

Audio-Assisted Movie Dialogue Detection. - Margarita Kotti; Dimitrios Ververidis; Georgios Evangelopoulos; Ioannis Panagakis; Costas Kotropoulos; Petros Maragos; Ioannis Pitas (IEEE Trans. Circuits Syst. Video Technol., 2008)

Music genre classification via sparse representations of auditory temporal modulations. - Yannis Panagakis; Constantine Kotropoulos; Gonzalo R. Arce (EUSIPCO, 2009)

Music Genre Classification Using Locality Preserving Non-Negative Tensor Factorization and Sparse Representations. - Yannis Panagakis; Constantine Kotropoulos; Gonzalo R. Arce (ISMIR, 2009)

Sparse multi-label linear embedding nonnegative tensor factorization for automatic music tagging. - Yannis Panagakis; Constantine Kotropoulos; Gonzalo R. Arce (EUSIPCO, 2010)

Music genre classification via Topology Preserving Non-Negative Tensor Factorization and sparse representations. - Yannis Panagakis; Constantine Kotropoulos (ICASSP, 2010)

Ensemble Discriminant Sparse Projections Applied to Music Genre Classification. - Constantine Kotropoulos; Gonzalo R. Arce; Yannis Panagakis (ICPR, 2010)

Sparse Multi-label Linear Embedding Within Nonnegative Tensor Factorization Applied to Music Tagging. - Yannis Panagakis; Constantine Kotropoulos; Gonzalo R. Arce (ISMIR, 2010)

Non-Negative Multilinear Principal Component Analysis of Auditory Temporal Modulations for Music Genre Classification. - Yannis Panagakis; Constantine Kotropoulos; Gonzalo R. Arce (IEEE Trans. Speech Audio Process., 2010)

Automatic music mood classification via Low-Rank Representation. - Yannis Panagakis; Constantine Kotropoulos (EUSIPCO, 2011)

Automatic music tagging via PARAFAC2. - Yannis Panagakis; Constantine Kotropoulos (ICASSP, 2011)

l1-Graph Based Music Structure Analysis. - Yannis Panagakis; Constantine Kotropoulos; Gonzalo R. Arce (ISMIR, 2011)

Music structure analysis by subspace modeling. - Yannis Panagakis; Constantine Kotropoulos (EUSIPCO, 2012)

Automatic music tagging by low-rank representation. - Yannis Panagakis; Constantine Kotropoulos (ICASSP, 2012)

Music Structure Analysis by Ridge Regression of Beat-synchronous Audio Features. - Yannis Panagakis; Constantine Kotropoulos (ISMIR, 2012)

Automatic telephone handset identification by sparse representation of random spectral features. - Yannis Panagakis; Constantine Kotropoulos (MM&Sec, 2012)

Telephone handset identification by feature selection and sparse representations. - Yannis Panagakis; Constantine Kotropoulos (WIFS, 2012)

Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences. - Yannis Panagakis; Mihalis A. Nicolaou; Stefanos Zafeiriou; Maja Pantic (CVPR, 2013)

Music recommendation using hypergraphs and group sparsity. - Antonis Theodoridis; Constantine Kotropoulos; Yannis Panagakis (ICASSP, 2013)

Music classification by low-rank semantic mappings. - Yannis Panagakis; Constantine Kotropoulos (EURASIP J. Audio Speech Music. Process., 2013)

Telephone Handset Identification by Collaborative Representations. - Yannis Panagakis; Constantine Kotropoulos (Int. J. Digit. Crime Forensics, 2013)

Generalised Scalable Robust Principal Component Analysis. - Georgios Papamakarios; Yannis Panagakis; Stefanos Zafeiriou (BMVC, 2014)

RAPS: Robust and Efficient Automatic Construction of Person-Specific Deformable Models. - Christos Sagonas; Yannis Panagakis; Stefanos Zafeiriou; Maja Pantic (CVPR, 2014)

Audiovisual Conflict Detection in Political Debates. - Yannis Panagakis; Stefanos Zafeiriou; Maja Pantic (ECCV Workshops (1), 2014)

Robust Canonical Correlation Analysis: Audio-visual fusion for learning continuous interest. - Mihalis A. Nicolaou; Yannis Panagakis; Stefanos Zafeiriou; Maja Pantic (ICASSP, 2014)

Elastic Net subspace clustering applied to pop/rock music structure analysis. - Yannis Panagakis; Constantine Kotropoulos (Pattern Recognit. Lett., 2014)

Music genre classification via joint sparse low-rank representation of audio features. - Yannis Panagakis; Constantine Kotropoulos; Gonzalo R. Arce (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

Automatic construction Of robust spherical harmonic subspaces. - Patrick Snape; Yannis Panagakis; Stefanos Zafeiriou (CVPR, 2015)

Robust Statistical Face Frontalization. - Christos Sagonas; Yannis Panagakis; Stefanos Zafeiriou; Maja Pantic (ICCV, 2015)

Face Flow. - Patrick Snape; Anastasios Roussos; Yannis Panagakis; Stefanos Zafeiriou (ICCV, 2015)

Face frontalization for Alignment and Recognition. - Christos Sagonas; Yannis Panagakis; Stefanos Zafeiriou; Maja Pantic (CoRR, 2015)

Fusion and community detection in multi-layer graphs. - Vladimir Gligorijevic; Yannis Panagakis; Stefanos Zafeiriou (ICPR, 2016)

Back to the future: A fully automatic method for robust age progression. - Christos Sagonas; Yannis Panagakis; Saritha Arunkumar; Nalini K. Ratha; Stefanos Zafeiriou (ICPR, 2016)

TensorLy: Tensor Learning in Python. - Jean Kossaifi; Yannis Panagakis; Maja Pantic (CoRR, 2016)

Robust Correlated and Individual Component Analysis. - Yannis Panagakis; Mihalis A. Nicolaou; Stefanos Zafeiriou; Maja Pantic (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Discriminant Incoherent Component Analysis. - Christos Georgakis 001; Yannis Panagakis; Maja Pantic (IEEE Trans. Image Process., 2016)

Behavior prediction in-the-wild. - Christos Georgakis 001; Yannis Panagakis; Maja Pantic (ACII Workshops, 2017)

3D Face Morphable Models "In-the-Wild". - James Booth 001; Epameinondas Antonakos; Stylianos Ploumpis; George Trigeorgis; Yannis Panagakis; Stefanos Zafeiriou (CVPR, 2017)

Robust Joint and Individual Variance Explained. - Christos Sagonas; Yannis Panagakis; Alina Leidinger; Stefanos Zafeiriou (CVPR, 2017)

Learning the Multilinear Structure of Visual Data. - Mengjiao Wang 002; Yannis Panagakis; Patrick Snape; Stefanos Zafeiriou (CVPR, 2017)

Initializing probabilistic linear discriminant analysis. - Stylianos Moschoglou; Mihalis A. Nicolaou; Yannis Panagakis; Stefanos Zafeiriou (EUSIPCO, 2017)

Robust low-rank tensor modelling using Tucker and CP decomposition. - Niannan Xue; Georgios Papamakarios; Mehdi Bahri; Yannis Panagakis; Stefanos Zafeiriou (EUSIPCO, 2017)

Temporal Archetypal Analysis for Action Segmentation. - Eftychia Fotiadou; Yiannis Panagakis; Maja Pantic (FG, 2017)

Audio-visual object localization and separation using low-rank and sparsity. - Jie Pu; Yannis Panagakis; Stavros Petridis; Maja Pantic (ICASSP, 2017)

Robust Kronecker-Decomposable Component Analysis for Low-Rank Modeling. - Mehdi Bahri; Yannis Panagakis; Stefanos Zafeiriou (ICCV, 2017)

Side Information in Robust Principal Component Analysis: Algorithms and Applications. - Niannan Xue; Yannis Panagakis; Stefanos Zafeiriou (ICCV, 2017)

Multilevel Approximate Robust Principal Component Analysis. - Vahan Hovhannisyan; Yannis Panagakis; Stefanos Zafeiriou; Panos Parpas (ICCV Workshops, 2017)

Side Information in Robust Principle Component Analysis: Algorithms and Applications. - Niannan Xue; Yannis Panagakis; Stefanos Zafeiriou (CoRR, 2017)

An Adversarial Neuro-Tensorial Approach For Learning Disentangled Representations. - Mengjiao Wang 002; Zhixin Shu; Yannis Panagakis; Dimitris Samaras; Stefanos Zafeiriou (CoRR, 2017)

Robust Statistical Frontalization of Human and Animal Faces. - Christos Sagonas; Yannis Panagakis; Stefanos Zafeiriou; Maja Pantic (Int. J. Comput. Vis., 2017)

The Conflict Escalation Resolution (CONFER) Database. - Christos Georgakis 001; Yannis Panagakis; Stefanos Zafeiriou; Maja Pantic (Image Vis. Comput., 2017)

Nonnegative Decompositions for Dynamic Visual Data Analysis. - Lazaros Zafeiriou; Yannis Panagakis; Maja Pantic; Stefanos Zafeiriou (IEEE Trans. Image Process., 2017)

Learning for multimodal and affect-sensitive interfaces. - Yannis Panagakis; Ognjen Rudovic; Maja Pantic (The Handbook of Multimodal-Multisensor Interfaces, Volume 2 (2), 2018)

Informed Non-Convex Robust Principal Component Analysis With Features. - Niannan Xue; Jiankang Deng; Yannis Panagakis; Stefanos Zafeiriou (AAAI, 2018)

GAGAN: Geometry-Aware Generative Adversarial Networks. - Jean Kossaifi; Linh Tran; Yannis Panagakis; Maja Pantic (CVPR, 2018)

Online Attention for Interpretable Conflict Estimation in Political Debates. - Ruben Vereecken; Stavros Petridis; Yiannis Panagakis; Maja Pantic (FG, 2018)

Visual Data Augmentation through Learning. - Grigorios G. Chrysos; Yannis Panagakis; Stefanos Zafeiriou (CoRR, 2018)

Modelling of Facial Aging and Kinship: A Survey. - Markos Georgopoulos; Yannis Panagakis; Maja Pantic (CoRR, 2018)

Dynamic Behavior Analysis via Structured Rank Minimization. - Christos Georgakis 001; Yannis Panagakis; Maja Pantic (Int. J. Comput. Vis., 2018)

Modeling of facial aging and kinship: A survey. - Markos Georgopoulos; Yannis Panagakis; Maja Pantic (Image Vis. Comput., 2018)

Multi-Attribute Robust Component Analysis for Facial UV Maps. - Stylianos Moschoglou; Evangelos Ververas; Yannis Panagakis; Mihalis A. Nicolaou; Stefanos Zafeiriou (IEEE J. Sel. Top. Signal Process., 2018)

3D Reconstruction of "In-the-Wild" Faces in Images and Videos. - James Booth 001; Anastasios Roussos; Evangelos Ververas; Epameinondas Antonakos; Stylianos Ploumpis; Yannis Panagakis; Stefanos Zafeiriou (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Recovering Joint and Individual Components in Facial Data. - Christos Sagonas; Evangelos Ververas; Yannis Panagakis; Stefanos Zafeiriou (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Disentangling the Modes of Variation in Unlabelled Data. - Mengjiao Wang 002; Yannis Panagakis; Patrick Snape; Stefanos P. Zafeiriou (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Valence and Arousal Estimation In-The-Wild with Tensor Methods. - Anna Mitenkova; Jean Kossaifi; Yannis Panagakis; Maja Pantic (FG, 2019)

Learning Low Rank and Sparse Models via Robust Autoencoders. - Jie Pu; Yannis Panagakis; Maja Pantic (ICASSP, 2019)

SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. - Jean Kossaifi; Robert Walecki; Yannis Panagakis; Jie Shen 008; Maximilian Schmitt; Fabien Ringeval; Jing Han 010; Vedhas Pandit; Björn W. Schuller; Kam Star; Elnar Hajiyev; Maja Pantic (CoRR, 2019)

Stochastically Rank-Regularized Tensor Regression Networks. - Arinbjörn Kolbeinsson; Jean Kossaifi; Yannis Panagakis; Anima Anandkumar; Ioanna Tzoulaki; Paul M. Matthews (CoRR, 2019)

Efficient N-Dimensional Convolutions via Higher-Order Factorization. - Jean Kossaifi; Adrian Bulat; Yannis Panagakis; Maja Pantic (CoRR, 2019)

PolyGAN: High-Order Polynomial Generators. - Grigorios Chrysos 002; Stylianos Moschoglou; Yannis Panagakis; Stefanos Zafeiriou (CoRR, 2019)

Disentangling Geometry and Appearance with Regularised Geometry-Aware Generative Adversarial Networks. - Linh Tran; Jean Kossaifi; Yannis Panagakis; Maja Pantic (Int. J. Comput. Vis., 2019)

An Adversarial Neuro-Tensorial Approach for Learning Disentangled Representations. - Mengjiao Wang 002; Zhixin Shu; Shiyang Cheng 001; Yannis Panagakis; Dimitris Samaras; Stefanos Zafeiriou (Int. J. Comput. Vis., 2019)

TensorLy: Tensor Learning in Python. - Jean Kossaifi; Yannis Panagakis; Anima Anandkumar; Maja Pantic (J. Mach. Learn. Res., 2019)

Robust Kronecker Component Analysis. - Mehdi Bahri; Yannis Panagakis; Stefanos Zafeiriou (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Non-Negative Matrix Factorizations for Multiplex Network Analysis. - Vladimir Gligorijevic; Yannis Panagakis; Stefanos Zafeiriou (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Side Information for Face Completion: A Robust PCA Approach. - Niannan Xue; Jiankang Deng; Shiyang Cheng 001; Yannis Panagakis; Stefanos Zafeiriou (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Fast Multilevel Algorithms for Compressive Principal Component Pursuit. - Vahan Hovhannisyan; Yannis Panagakis; Panos Parpas; Stefanos Zafeiriou (SIAM J. Imaging Sci., 2019)

P-nets: Deep Polynomial Neural Networks. - Grigorios G. Chrysos; Stylianos Moschoglou; Giorgos Bouritsas; Yannis Panagakis; Jiankang Deng; Stefanos Zafeiriou (CVPR, 2020)

Enhancing Facial Data Diversity with Style-based Face Aging. - Markos Georgopoulos; James Oldfield 001; Mihalis A. Nicolaou; Yannis Panagakis; Maja Pantic (CVPR Workshops, 2020)

Factorized Higher-Order CNNs With an Application to Spatio-Temporal Emotion Estimation. - Jean Kossaifi; Antoine Toisoul; Adrian Bulat; Yannis Panagakis; Timothy M. Hospedales; Maja Pantic (CVPR, 2020)

Speech-Driven Facial Animation Using Polynomial Fusion of Features. - Triantafyllos Kefalas; Konstantinos Vougioukas; Yannis Panagakis; Stavros Petridis; Jean Kossaifi; Maja Pantic (ICASSP, 2020)

Learning Differentiable Sparse and Low Rank Networks for Audio-Visual Object Localization. - Jie Pu; Yannis Panagakis; Maja Pantic (ICASSP, 2020)

Multilinear Latent Conditioning for Generating Unseen Attribute Combinations. - Markos Georgopoulos; Grigorios Chrysos 002; Maja Pantic; Yannis Panagakis (ICML, 2020)

Π-nets: Deep Polynomial Neural Networks. - Grigorios G. Chrysos; Stylianos Moschoglou; Giorgos Bouritsas; Jiankang Deng; Yannis Panagakis; Stefanos Zafeiriou (CoRR, 2020)

Investigating bias in deep face analysis: The KANFace dataset and empirical study. - Markos Georgopoulos; Yannis Panagakis; Maja Pantic (Image Vis. Comput., 2020)

NAPS: Non-adversarial polynomial synthesis. - Grigorios G. Chrysos; Yannis Panagakis (Pattern Recognit. Lett., 2020)

Active Speaker Detection and Localization in Videos Using Low-Rank and Kernelized Sparsity. - Jie Pu; Yannis Panagakis; Maja Pantic (IEEE Signal Process. Lett., 2020)

Blind Audio-Visual Localization and Separation via Low-Rank and Sparsity. - Jie Pu; Yannis Panagakis; Stavros Petridis; Jie Shen 008; Maja Pantic (IEEE Trans. Cybern., 2020)

Tensor Component Analysis for Interpreting the Latent Space of GANs. - James Oldfield 001; Markos Georgopoulos; Yannis Panagakis; Mihalis A. Nicolaou; Ioannis Patras (BMVC, 2021)

Defensive Tensorization. - Adrian Bulat; Jean Kossaifi; Sourav Bhattacharya; Yannis Panagakis; Timothy M. Hospedales; Georgios Tzimiropoulos; Nicholas D. Lane; Maja Pantic (BMVC, 2021)

Learning Separable Time-Frequency Filterbanks for Audio Classification. - Jie Pu; Yannis Panagakis; Maja Pantic (ICASSP, 2021)

Conditional Generation Using Polynomial Expansions. - Grigorios Chrysos 002; Markos Georgopoulos; Yannis Panagakis (NeurIPS, 2021)

2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. - Xiaoxi Wei; A. Aldo Faisal; Moritz Grosse-Wentrup; Alexandre Gramfort; Sylvain Chevallier; Vinay Jayaram; Camille Jeunet; Stylianos Bakas; Siegfried Ludwig; Konstantinos Barmpas; Mehdi Bahri; Yannis Panagakis; et al. (NeurIPS (Competition and Demos), 2021)

CoPE: Conditional image generation using Polynomial Expansions. - Grigorios G. Chrysos; Yannis Panagakis (CoRR, 2021)

Polynomial Networks in Deep Classifiers. - Grigorios G. Chrysos; Markos Georgopoulos; Jiankang Deng; Yannis Panagakis (CoRR, 2021)

EEGminer: Discovering Interpretable Features of Brain Activity with Learnable Filters. - Siegfried Ludwig; Stylianos Bakas; Dimitrios A. Adamos; Nikolaos A. Laskaris; Yannis Panagakis; Stefanos Zafeiriou (CoRR, 2021)

Mitigating Demographic Bias in Facial Datasets with Style-Based Multi-attribute Transfer. - Markos Georgopoulos; James Oldfield 001; Mihalis A. Nicolaou; Yannis Panagakis; Maja Pantic (Int. J. Comput. Vis., 2021)

Tensor Dropout for Robust Learning. - Arinbjörn Kolbeinsson; Jean Kossaifi; Yannis Panagakis; Adrian Bulat; Animashree Anandkumar; Ioanna Tzoulaki; Paul M. Matthews (IEEE J. Sel. Top. Signal Process., 2021)

SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. - Jean Kossaifi; Robert Walecki; Yannis Panagakis; Jie Shen 008; Maximilian Schmitt; Fabien Ringeval; Jing Han 010; Vedhas Pandit; Antoine Toisoul; Björn W. Schuller; Kam Star; Elnar Hajiyev; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Tensor Methods in Computer Vision and Deep Learning. - Yannis Panagakis; Jean Kossaifi; Grigorios G. Chrysos; James Oldfield 001; Mihalis A. Nicolaou; Anima Anandkumar; Stefanos Zafeiriou (Proc. IEEE, 2021)

Cluster-guided Image Synthesis with Unconditional Models. - Markos Georgopoulos; James Oldfield 001; Grigorios G. Chrysos; Yannis Panagakis (CVPR, 2022)

Augmenting Deep Classifiers with Polynomial Neural Networks. - Grigorios G. Chrysos; Markos Georgopoulos; Jiankang Deng; Jean Kossaifi; Yannis Panagakis; Anima Anandkumar (ECCV (25), 2022)

Efficient Learning of Multiple NLP Tasks via Collective Weight Factorization on BERT. - Christos Papadopoulos; Yannis Panagakis; Manolis Koubarakis; Mihalis Nicolaou (NAACL-HLT (Findings), 2022)

Unsupervised Discovery of Semantic Concepts in Satellite Imagery with Style-based Wavelet-driven Generative Models. - Nikos Kostagiolas; Mihalis Nicolaou; Yannis Panagakis (SETN, 2022)

Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition. - Stylianos Bakas; Siegfried Ludwig; Konstantinos Barmpas; Mehdi Bahri; Yannis Panagakis; Nikolaos A. Laskaris; Dimitrios A. Adamos; Stefanos Zafeiriou (CoRR, 2022)

Deep Polynomial Neural Networks. - Grigorios G. Chrysos; Stylianos Moschoglou; Giorgos Bouritsas; Jiankang Deng; Yannis Panagakis; Stefanos Zafeiriou (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Adversarial Learning of Disentangled and Generalizable Representations of Visual Attributes. - James Oldfield 001; Yannis Panagakis; Mihalis A. Nicolaou (IEEE Trans. Neural Networks Learn. Syst., 2022)

MMATR: A Lightweight Approach for Multimodal Sentiment Analysis Based on Tensor Methods. - Panagiotis Koromilas; Mihalis A. Nicolaou; Theodoros Giannakopoulos; Yannis Panagakis (ICASSP, 2023)

PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs. - James Oldfield 001; Christos Tzelepis; Yannis Panagakis; Mihalis Nicolaou; Ioannis Patras (ICLR, 2023)

Parts of Speech-Grounded Subspaces in Vision-Language Models. - James Oldfield 001; Christos Tzelepis; Yannis Panagakis; Mihalis Nicolaou; Ioannis Patras (NeurIPS, 2023)

Generalization analysis of an unfolding network for analysis-based Compressed Sensing. - Vicky Kouni; Yannis Panagakis (CoRR, 2023)

Audio-visual video-to-speech synthesis with synthesized input audio. - Triantafyllos Kefalas; Yannis Panagakis; Maja Pantic (CoRR, 2023)

Latent Alignment with Deep Set EEG Decoders. - Stylianos Bakas; Siegfried Ludwig; Dimitrios A. Adamos; Nikolaos A. Laskaris; Yannis Panagakis; Stefanos Zafeiriou (CoRR, 2023)

DECONET: An Unfolding Network for Analysis-Based Compressed Sensing With Generalization Error Bounds. - Vicky Kouni; Yannis Panagakis (IEEE Trans. Signal Process., 2023)

KAN-AV dataset for audio-visual face and speech analysis in the wild. - Triantafyllos Kefalas; Eftychia Fotiadou; Markos Georgopoulos; Yannis Panagakis; Pingchuan Ma 001; Stavros Petridis; Themos Stafylakis; Maja Pantic (Image Vis. Comput., 2023)

Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis. - Theodoros Kouzelis; Emmanouil Plitsis; Mihalis Nicolaou; Yannis Panagakis (BMVC, 2024)

Investigating Personalization Methods in Text to Music Generation. - Manos Plitsis; Theodoros Kouzelis; Georgios Paraskevopoulos; Vassilis Katsouros; Yannis Panagakis (ICASSP, 2024)

Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses. - Panagiotis Koromilas; Giorgos Bouritsas; Theodoros Giannakopoulos; Mihalis Nicolaou; Yannis Panagakis (ICML, 2024)

Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization. - James Oldfield 001; Markos Georgopoulos; Grigorios Chrysos 002; Christos Tzelepis; Yannis Panagakis; Mihalis Nicolaou; Jiankang Deng; Ioannis Patras (NeurIPS, 2024)

Scale Equivariant Graph Metanetworks. - Ioannis Kalogeropoulos; Giorgos Bouritsas; Yannis Panagakis (NeurIPS, 2024)

Benchmarking Counterfactual Image Generation. - Thomas Melistas; Nikos Spyrou; Nefeli Gkouti; Pedro Sanchez; Athanasios Vlontzos; Yannis Panagakis; Giorgos Papanastasiou; Sotirios A. Tsaftaris (NeurIPS, 2024)

Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis. - Theodoros Kouzelis; Manos Plitsis; Mihalis A. Nikolaou; Yannis Panagakis (CoRR, 2024)

Locality-Preserving Directions for Interpreting the Latent Space of Satellite Image GANs. - Georgia Kourmouli; Nikos Kostagiolas; Mihalis A. Nicolaou; Yannis Panagakis (IEEE Geosci. Remote. Sens. Lett., 2024)

Large-Scale Unsupervised Audio Pre-Training for Video-to-Speech Synthesis. - Triantafyllos Kefalas; Yannis Panagakis; Maja Pantic (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Bilinear Models of Parts and Appearances in Generative Adversarial Networks. - James Oldfield 001; Christos Tzelepis; Yannis Panagakis; Mihalis A. Nicolaou; Ioannis Patras (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Advancing Brainwave Modeling with a Codebook-Based Foundation Model. - Konstantinos Barmpas; Na Lee; Yannis Panagakis; Dimitrios A. Adamos; Nikolaos A. Laskaris; Stefanos Zafeiriou (CoRR, 2025)

Synthetic Speech Source Tracing using Metric Learning. - Dimitrios Koutsianos; Stavros Zacharopoulos; Yannis Panagakis; Themos Stafylakis (CoRR, 2025)

Causally Steered Diffusion for Automated Video Counterfactual Generation. - Nikos Spyrou; Athanasios Vlontzos; Paraskevas Pegios; Thomas Melistas; Nefeli Gkouti; Yannis Panagakis; Giorgos Papanastasiou; Sotirios A. Tsaftaris (CoRR, 2025)

Are Large Brainwave Foundation Models Capable Yet? Insights from Fine-tuning. - Na Lee; Konstantinos Barmpas; Yannis Panagakis; Dimitrios A. Adamos; Nikolaos A. Laskaris; Stefanos Zafeiriou (CoRR, 2025)

A Principled Framework for Multi-View Contrastive Learning. - Panagiotis Koromilas; Efthymios Georgiou; Giorgos Bouritsas; Theodoros Giannakopoulos; Mihalis A. Nicolaou; Yannis Panagakis (CoRR, 2025)