Towards the effective parallel computation of matrix pseudospectra. - Constantine Bekas; Effrosini Kokiopoulou; Ioannis Koutis; Efstratios Gallopoulos (ICS, 2001)

Parallel Computation of Pseudospectra Using Transfer Functions on a MATLAB-MPI Cluster Platform. - Constantine Bekas; Effrosini Kokiopoulou; Efstratios Gallopoulos; Valeria Simoncini (PVM/MPI, 2002)

Polynomial filtering in latent semantic indexing for information retrieval. - Effrosini Kokiopoulou; Yousef Saad (SIGIR, 2004)

Orthogonal Neighborhood Preserving Projections. - Effrosini Kokiopoulou; Yousef Saad (ICDM, 2005)

Face recognition using OPRA-faces. - Effrosini Kokiopoulou; Yousef Saad (ICMLA, 2005)

PCA without eigenvalue calculations: a case study on face recognition. - Effrosini Kokiopoulou; Yousef Saad (SDM, 2005)

The design of a distributed MATLAB-based environment for computing pseudospectra. - Constantine Bekas; Effrosini Kokiopoulou; Efstratios Gallopoulos (Future Gener. Comput. Syst., 2005)

Pattern Detection by Distributed Feature Extraction. - Effrosini Kokiopoulou; Pascal Frossard (ICIP, 2006)

Distributed SVM Applied to Image Classification. - Effrosini Kokiopoulou; Pascal Frossard (ICME, 2006)

Classification-Specific Feature Sampling for Face Recognition. - Effrosini Kokiopoulou; Pascal Frossard (MMSP, 2006)

Dimensionality Reduction with Adaptive Approximation. - Effrosini Kokiopoulou; Pascal Frossard (ICME, 2007)

Image alignment with rotation manifolds built on sparse geometric expansions. - Effrosini Kokiopoulou; Pascal Frossard (MMSP, 2007)

Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique. - Effrosini Kokiopoulou; Yousef Saad (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Accelerating Distributed Consensus Using Extrapolation. - Effrosini Kokiopoulou; Pascal Frossard (IEEE Signal Process. Lett., 2007)

Mobile Museum Guide Based on Fast SIFT Recognition. - Boris Ruf; Effrosini Kokiopoulou; Marcin Detyniecki (Adaptive Multimedia Retrieval, 2008)

Fast keyword detection with sparse time-frequency models. - Effrosini Kokiopoulou; Pascal Frossard; Olivier Verscheure (ICME, 2008)

Graph-based classification for multiple observations of transformed patterns. - Effrosini Kokiopoulou; Stefanos Pirillos; Pascal Frossard (ICPR, 2008)

3D face recognition using sparse spherical representations. - Roser Sala-Llonch; Effrosini Kokiopoulou; Ivana Tosic; Pascal Frossard (ICPR, 2008)

Optimal polynomial filtering for accelerating distributed consensus. - Effrosini Kokiopoulou; Pascal Frossard; Dimitra Gkorou (ISIT, 2008)

Classification of multiple observations by semi-supervised learning - Effrosini Kokiopoulou; Pascal Frossard (CoRR, 2008)

Computation of Large Invariant Subspaces Using Polynomial Filtered Lanczos Iterations with Applications in Density Functional Theory. - Constantine Bekas; Effrosini Kokiopoulou; Yousef Saad (SIAM J. Matrix Anal. Appl., 2008)

Semantic Coding by Supervised Dimensionality Reduction. - Effrosini Kokiopoulou; Pascal Frossard (IEEE Trans. Multim., 2008)

Optimal image alignment with random measurements. - Effrosini Kokiopoulou; Daniel Kressner; Pascal Frossard (EUSIPCO, 2009)

Video face recognition with graph-based semi-supervised learning. - Effrosini Kokiopoulou; Pascal Frossard (ICME, 2009)

Minimum Distance between Pattern Transformation Manifolds: Algorithm and Applications. - Effrosini Kokiopoulou; Pascal Frossard (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Enhanced graph-based dimensionality reduction with repulsion Laplaceans. - Effrosini Kokiopoulou; Yousef Saad (Pattern Recognit., 2009)

Polynomial Filtering for Fast Convergence in Distributed Consensus. - Effrosini Kokiopoulou; Pascal Frossard (IEEE Trans. Signal Process., 2009)

Geometry-aware analysis of high-dimensional visual information sets. - Effrosyni Kokiopoulou (2009)

On the Curvature of Pattern Transformation Manifolds: Numerical Estimation and Applications. - Effrosini Kokiopoulou; Daniel Kressner; Pascal Frossard (AAAI Fall Symposium: Manifold Learning and Its Applications, 2010)

Polynomial filter design for quantized consensus. - Dorina Thanou; Hyunggon Park; Effrosini Kokiopoulou; Pascal Fwssarr (EUSIPCO, 2010)

Distributed classification of multiple observations by consensus. - Effrosini Kokiopoulou; Pascal Frossard (ICIP, 2010)

Graph-based classification of multiple observation sets. - Effrosini Kokiopoulou; Pascal Frossard (Pattern Recognit., 2010)

3D face recognition with sparse spherical representations. - Roser Sala-Llonch; Effrosini Kokiopoulou; Ivana Tosic; Pascal Frossard (Pattern Recognit., 2010)

On the computation of structured singular values and pseudospectra. - Michael Karow; Effrosini Kokiopoulou; Daniel Kressner (Syst. Control. Lett., 2010)

Optimal similarity registration of volumetric images. - Effrosini Kokiopoulou; Daniel Kressner; Michail Zervos; Nikos Paragios (CVPR, 2011)

Fusion of Digital Elevation Models Using Sparse Representations. - Haris Papasaika; Effrosini Kokiopoulou; Emmanuel Baltsavias; Konrad Schindler; Daniel Kressner (PIA, 2011)

Trace optimization and eigenproblems in dimension reduction methods. - Effrosini Kokiopoulou; Jie Chen 007; Yousef Saad (Numer. Linear Algebra Appl., 2011)

Optimal Image Alignment With Random Projections of Manifolds: Algorithm and Geometric Analysis. - Effrosini Kokiopoulou; Daniel Kressner; Pascal Frossard (IEEE Trans. Image Process., 2011)

Distributed Classification of Multiple Observation Sets by Consensus. - Effrosini Kokiopoulou; Pascal Frossard (IEEE Trans. Signal Process., 2011)

Progressive quantization in distributed average consensus. - Dorina Thanou; Effrosini Kokiopoulou; Pascal Frossard (ICASSP, 2012)

Random Grids: Fast Approximate Nearest Neighbors and Range Searching for Image Search. - Dror Aiger; Efi Kokiopoulou; Ehud Rivlin (ICCV, 2013)

Distributed Average Consensus With Quantization Refinement. - Dorina Thanou; Effrosini Kokiopoulou; Ye Pu; Pascal Frossard (IEEE Trans. Signal Process., 2013)

General Techniques for Approximate Incidences and Their Application to the Camera Posing Problem. - Dror Aiger; Haim Kaplan; Efi Kokiopoulou; Micha Sharir; Bernhard Zeisl (SoCG, 2019)

Fast Task-Aware Architecture Inference. - Efi Kokiopoulou; Anja Hauth; Luciano Sbaiz; Andrea Gesmundo; Gábor Bartók; Jesse Berent (CoRR, 2019)

Gumbel-Matrix Routing for Flexible Multi-task Learning. - Krzysztof Maziarz; Efi Kokiopoulou; Andrea Gesmundo; Luciano Sbaiz; Gábor Bartók; Jesse Berent (CoRR, 2019)

Ranking architectures using meta-learning. - Alina Dubatovka; Efi Kokiopoulou; Luciano Sbaiz; Andrea Gesmundo; Gábor Bartók; Jesse Berent (CoRR, 2019)

Task-Aware Performance Prediction for Efficient Architecture Search. - Efi Kokiopoulou; Anja Hauth; Luciano Sbaiz; Andrea Gesmundo; Gábor Bartók; Jesse Berent (ECAI, 2020)

Analysis of Softmax Approximation for Deep Classifiers under Input-Dependent Label Noise. - Mark Collier; Basil Mustafa; Efi Kokiopoulou; Jesse Berent (CoRR, 2020)

Routing Networks with Co-training for Continual Learning. - Mark Collier; Efi Kokiopoulou; Andrea Gesmundo; Jesse Berent (CoRR, 2020)

Correlated Input-Dependent Label Noise in Large-Scale Image Classification. - Mark Collier; Basil Mustafa; Efi Kokiopoulou; Rodolphe Jenatton; Jesse Berent (CVPR, 2021)

Transfer and Marginalize: Explaining Away Label Noise with Privileged Information. - Mark Collier; Rodolphe Jenatton; Effrosyni Kokiopoulou; Jesse Berent (ICML, 2022)

Deep Classifiers with Label Noise Modeling and Distance Awareness. - Vincent Fortuin; Mark Collier; Florian Wenzel; James Urquhart Allingham; Jeremiah Zhe Liu; Dustin Tran; Balaji Lakshminarayanan; Jesse Berent; Rodolphe Jenatton; Effrosyni Kokiopoulou (Trans. Mach. Learn. Res., 2022)

Massively Scaling Heteroscedastic Classifiers. - Mark Collier; Rodolphe Jenatton; Basil Mustafa; Neil Houlsby; Jesse Berent; Effrosyni Kokiopoulou (ICLR, 2023)

When does Privileged information Explain Away Label Noise? - Guillermo Ortiz-Jiménez; Mark Collier; Anant Nawalgaria; Alexander Nicholas D'Amour; Jesse Berent; Rodolphe Jenatton; Efi Kokiopoulou (ICML, 2023)

Three Towers: Flexible Contrastive Learning with Pretrained Image Models. - Jannik Kossen; Mark Collier; Basil Mustafa; Xiao Wang 038; Xiaohua Zhai; Lucas Beyer; Andreas Steiner 001; Jesse Berent; Rodolphe Jenatton; Effrosyni Kokiopoulou (NeurIPS, 2023)

SmartChoices: Augmenting Software with Learned Implementations. - Daniel Golovin; Gábor Bartók; Eric Chen; Emily Donahue; Tzu-Kuo Huang; Efi Kokiopoulou; Ruoyan Qin; Nikhil Sarda; Justin Sybrandt; Vincent Tjeng (CoRR, 2023)

Pi-DUAL: Using privileged information to distinguish clean from noisy labels. - Ke Wang; Guillermo Ortiz-Jiménez; Rodolphe Jenatton; Mark Collier; Efi Kokiopoulou; Pascal Frossard (ICML, 2024)

Representing Online Handwriting for Recognition in Large Vision-Language Models. - Anastasiia Fadeeva; Philippe Schlattner; Andrii Maksai; Mark Collier; Efi Kokiopoulou; Jesse Berent; Claudiu Musat (CoRR, 2024)

Sketch-to-Layout: Sketch-Guided Multimodal Layout Generation. - Riccardo Brioschi; Aleksandr Alekseev; Emanuele Nevali; Berkay Döner; Omar El Malki; Blagoj Mitrevski; Leandro Kieliger; Mark Collier; Andrii Maksai; Jesse Berent; Claudiu Musat; Efi Kokiopoulou (CoRR, 2025)