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ORCIDEffrosyni Kokiopoulou
Person information
- affiliation: Google Inc., Zurich, Switzerland
- affiliation (PhD 2009): EPFL, Switzerland
- affiliation (former): University of Minnesota, Minneapolis, MN, USA
- affiliation (former): University of Patras, Greece
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2020 – today
- 2026
[c35]Adam Hazimeh, Ke Wang, Mark Collier, Gilles Baechler, Efi Kokiopoulou, Pascal Frossard:
Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling. AAAI 2026: 4636-4644- 2025
- [c34]Riccardo Brioschi, Aleksandr Alekseev, Emanuele Nevali, Berkay Döner, Omar El Malki, Blagoj Mitrevski, Leandro Kieliger, Mark Collier, Andrii Maksai, Jesse Berent, Claudiu Cristian Musat, Efi Kokiopoulou:
Sketch-to-Layout: Sketch-Guided Multimodal Layout Generation. ICCVW 2025: 1893-1905 - [i21]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:
Sketch-to-Layout: Sketch-Guided Multimodal Layout Generation. CoRR abs/2510.27632 (2025) - [i20]Adam Hazimeh
, Ke Wang, Mark Collier, Gilles Baechler, Efi Kokiopoulou, Pascal Frossard:
Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling. CoRR abs/2511.13478 (2025) - 2024
- [c33]Ke Wang, Guillermo Ortiz-Jiménez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard:
Pi-DUAL: Using privileged information to distinguish clean from noisy labels. ICML 2024: 51214-51236 - [i19]Anastasiia Fadeeva, Philippe Schlattner, Andrii Maksai, Mark Collier, Efi Kokiopoulou, Jesse Berent, Claudiu Musat:
Representing Online Handwriting for Recognition in Large Vision-Language Models. CoRR abs/2402.15307 (2024) - 2023
- [c32]Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou:
Massively Scaling Heteroscedastic Classifiers. ICLR 2023 - [c31]Guillermo Ortiz-Jiménez, Mark Collier, Anant Nawalgaria, Alexander Nicholas D'Amour, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou:
When does Privileged information Explain Away Label Noise? ICML 2023: 26646-26669 - [c30]Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou:
Three Towers: Flexible Contrastive Learning with Pretrained Image Models. NeurIPS 2023 - [i18]Mark Collier, Rodolphe Jenatton, Basil Mustafa, Neil Houlsby, Jesse Berent, Effrosyni Kokiopoulou:
Massively Scaling Heteroscedastic Classifiers. CoRR abs/2301.12860 (2023) - [i17]Guillermo Ortiz-Jiménez, Mark Collier, Anant Nawalgaria, Alexander D'Amour, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou:
When does Privileged Information Explain Away Label Noise? CoRR abs/2303.01806 (2023) - [i16]Daniel Golovin, Gábor Bartók, Eric Chen, Emily Donahue, Tzu-Kuo Huang, Efi Kokiopoulou, Ruoyan Qin, Nikhil Sarda, Justin Sybrandt, Vincent Tjeng:
SmartChoices: Augmenting Software with Learned Implementations. CoRR abs/2304.13033 (2023) - [i15]Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou:
Three Towers: Flexible Contrastive Learning with Pretrained Image Models. CoRR abs/2305.16999 (2023) - [i14]Ke Wang, Guillermo Ortiz-Jiménez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard:
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels. CoRR abs/2310.06600 (2023) - 2022
- [j16]Vincent Fortuin, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Zhe Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou:
Deep Classifiers with Label Noise Modeling and Distance Awareness. Trans. Mach. Learn. Res. 2022 (2022) - [c29]Mark Collier, Rodolphe Jenatton, Effrosyni Kokiopoulou, Jesse Berent:
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information. ICML 2022: 4219-4237 - [i13]Mark Collier, Rodolphe Jenatton, Efi Kokiopoulou, Jesse Berent:
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information. CoRR abs/2202.09244 (2022) - 2021
- [c28]Mark Collier, Basil Mustafa, Efi Kokiopoulou, Rodolphe Jenatton, Jesse Berent:
Correlated Input-Dependent Label Noise in Large-Scale Image Classification. CVPR 2021: 1551-1560 - [i12]Mark Collier, Basil Mustafa, Efi Kokiopoulou, Rodolphe Jenatton, Jesse Berent:
Correlated Input-Dependent Label Noise in Large-Scale Image Classification. CoRR abs/2105.10305 (2021) - [i11]Vincent Fortuin, Mark Collier, Florian Wenzel, James Urquhart Allingham, Jeremiah Z. Liu, Dustin Tran, Balaji Lakshminarayanan, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou:
Deep Classifiers with Label Noise Modeling and Distance Awareness. CoRR abs/2110.02609 (2021) - 2020
- [c27]Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent:
Task-Aware Performance Prediction for Efficient Architecture Search. ECAI 2020: 1238-1245 - [i10]Mark Collier, Basil Mustafa, Efi Kokiopoulou, Jesse Berent:
Analysis of Softmax Approximation for Deep Classifiers under Input-Dependent Label Noise. CoRR abs/2003.06778 (2020) - [i9]Mark Collier, Efi Kokiopoulou, Andrea Gesmundo, Jesse Berent:
Routing Networks with Co-training for Continual Learning. CoRR abs/2009.04381 (2020)
2010 – 2019
- 2019
- [c26]Dror Aiger, Haim Kaplan, Efi Kokiopoulou, Micha Sharir, Bernhard Zeisl:
General Techniques for Approximate Incidences and Their Application to the Camera Posing Problem. SoCG 2019: 8:1-8:14 - [i8]Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent:
Fast Task-Aware Architecture Inference. CoRR abs/1902.05781 (2019) - [i7]Dror Aiger, Haim Kaplan, Efi Kokiopoulou, Micha Sharir, Bernhard Zeisl:
General techniques for approximate incidences and their application to the camera posing problem. CoRR abs/1903.07047 (2019) - [i6]Krzysztof Maziarz, Efi Kokiopoulou, Andrea Gesmundo, Luciano Sbaiz, Gábor Bartók, Jesse Berent:
Gumbel-Matrix Routing for Flexible Multi-task Learning. CoRR abs/1910.04915 (2019) - [i5]Alina Dubatovka, Efi Kokiopoulou, Luciano Sbaiz, Andrea Gesmundo, Gábor Bartók, Jesse Berent:
Ranking architectures using meta-learning. CoRR abs/1911.11481 (2019) - 2013
- [j15]Dorina Thanou, Effrosini Kokiopoulou, Ye Pu, Pascal Frossard:
Distributed Average Consensus With Quantization Refinement. IEEE Trans. Signal Process. 61(1): 194-205 (2013) - [c25]Dror Aiger, Efi Kokiopoulou, Ehud Rivlin:
Random Grids: Fast Approximate Nearest Neighbors and Range Searching for Image Search. ICCV 2013: 3471-3478 - 2012
- [c24]Dorina Thanou, Effrosini Kokiopoulou, Pascal Frossard:
Progressive quantization in distributed average consensus. ICASSP 2012: 2677-2680 - 2011
- [j14]Effrosini Kokiopoulou, Jie Chen, Yousef Saad:
Trace optimization and eigenproblems in dimension reduction methods. Numer. Linear Algebra Appl. 18(3): 565-602 (2011) - [j13]Effrosini Kokiopoulou, Daniel Kressner, Pascal Frossard:
Optimal Image Alignment With Random Projections of Manifolds: Algorithm and Geometric Analysis. IEEE Trans. Image Process. 20(6): 1543-1557 (2011) - [j12]Effrosini Kokiopoulou, Pascal Frossard:
Distributed Classification of Multiple Observation Sets by Consensus. IEEE Trans. Signal Process. 59(1): 104-114 (2011) - [c23]Effrosini Kokiopoulou, Daniel Kressner, Michail Zervos, Nikos Paragios:
Optimal similarity registration of volumetric images. CVPR 2011: 2449-2456 - [c22]Haris Papasaika, Effrosini Kokiopoulou, Emmanuel Baltsavias, Konrad Schindler, Daniel Kressner:
Fusion of Digital Elevation Models Using Sparse Representations. PIA 2011: 171-184 - [i4]Dorina Thanou, Effrosini Kokiopoulou, Pascal Frossard:
Progressive quantization in distributed average consensus. CoRR abs/1105.1074 (2011) - 2010
- [j11]Roser Sala-Llonch, Effrosini Kokiopoulou, Ivana Tosic, Pascal Frossard:
3D face recognition with sparse spherical representations. Pattern Recognit. 43(3): 824-834 (2010) - [j10]Effrosini Kokiopoulou, Pascal Frossard:
Graph-based classification of multiple observation sets. Pattern Recognit. 43(12): 3988-3997 (2010) - [j9]Michael Karow, Effrosini Kokiopoulou, Daniel Kressner:
On the computation of structured singular values and pseudospectra. Syst. Control. Lett. 59(2): 122-129 (2010) - [c21]Effrosini Kokiopoulou, Daniel Kressner, Pascal Frossard:
On the Curvature of Pattern Transformation Manifolds: Numerical Estimation and Applications. AAAI Fall Symposium: Manifold Learning and Its Applications 2010 - [c20]Dorina Thanou, Hyunggon Park, Effrosini Kokiopoulou, Pascal Fwssarr:
Polynomial filter design for quantized consensus. EUSIPCO 2010: 184-188 - [c19]Effrosini Kokiopoulou, Pascal Frossard:
Distributed classification of multiple observations by consensus. ICIP 2010: 2697-2700
2000 – 2009
- 2009
- [b1]Effrosyni Kokiopoulou:
Geometry-aware analysis of high-dimensional visual information sets. EPFL, Switzerland, 2009 - [j8]Effrosini Kokiopoulou, Pascal Frossard:
Minimum Distance between Pattern Transformation Manifolds: Algorithm and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 31(7): 1225-1238 (2009) - [j7]Effrosini Kokiopoulou, Yousef Saad:
Enhanced graph-based dimensionality reduction with repulsion Laplaceans. Pattern Recognit. 42(11): 2392-2402 (2009) - [j6]Effrosini Kokiopoulou, Pascal Frossard:
Polynomial Filtering for Fast Convergence in Distributed Consensus. IEEE Trans. Signal Process. 57(1): 342-354 (2009) - [c18]Effrosini Kokiopoulou, Daniel Kressner, Pascal Frossard:
Optimal image alignment with random measurements. EUSIPCO 2009: 1304-1308 - [c17]Effrosini Kokiopoulou, Pascal Frossard:
Video face recognition with graph-based semi-supervised learning. ICME 2009: 1564-1565 - 2008
- [j5]Constantine Bekas, Effrosini Kokiopoulou, Yousef Saad:
Computation of Large Invariant Subspaces Using Polynomial Filtered Lanczos Iterations with Applications in Density Functional Theory. SIAM J. Matrix Anal. Appl. 30(1): 397-418 (2008) - [j4]Effrosini Kokiopoulou, Pascal Frossard:
Semantic Coding by Supervised Dimensionality Reduction. IEEE Trans. Multim. 10(5): 806-818 (2008) - [c16]Boris Ruf, Effrosini Kokiopoulou, Marcin Detyniecki:
Mobile Museum Guide Based on Fast SIFT Recognition. Adaptive Multimedia Retrieval 2008: 170-183 - [c15]Effrosini Kokiopoulou, Pascal Frossard, Olivier Verscheure:
Fast keyword detection with sparse time-frequency models. ICME 2008: 1081-1084 - [c14]Effrosini Kokiopoulou, Stefanos Pirillos, Pascal Frossard:
Graph-based classification for multiple observations of transformed patterns. ICPR 2008: 1-4 - [c13]Roser Sala-Llonch, Effrosini Kokiopoulou, Ivana Tosic, Pascal Frossard:
3D face recognition using sparse spherical representations. ICPR 2008: 1-4 - [c12]Effrosini Kokiopoulou, Pascal Frossard, Dimitra Gkorou:
Optimal polynomial filtering for accelerating distributed consensus. ISIT 2008: 657-661 - [i3]Effrosini Kokiopoulou, Pascal Frossard:
Polynomial Filtering for Fast Convergence in Distributed Consensus. CoRR abs/0802.3992 (2008) - [i2]Effrosini Kokiopoulou, Pascal Frossard:
Classification of multiple observations by semi-supervised learning. CoRR abs/0810.4617 (2008) - [i1]Roser Sala-Llonch, Effrosini Kokiopoulou, Ivana Tosic, Pascal Frossard:
3D Face Recognition with Sparse Spherical Representations. CoRR abs/0810.5325 (2008) - 2007
- [j3]Effrosini Kokiopoulou, Yousef Saad:
Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique. IEEE Trans. Pattern Anal. Mach. Intell. 29(12): 2143-2156 (2007) - [j2]Effrosini Kokiopoulou, Pascal Frossard:
Accelerating Distributed Consensus Using Extrapolation. IEEE Signal Process. Lett. 14(10): 665-668 (2007) - [c11]Effrosini Kokiopoulou, Pascal Frossard:
Dimensionality Reduction with Adaptive Approximation. ICME 2007: 1962-1965 - [c10]Effrosini Kokiopoulou, Pascal Frossard:
Image alignment with rotation manifolds built on sparse geometric expansions. MMSP 2007: 191-194 - 2006
- [c9]Effrosini Kokiopoulou, Pascal Frossard:
Pattern Detection by Distributed Feature Extraction. ICIP 2006: 2761-2764 - [c8]Effrosini Kokiopoulou, Pascal Frossard:
Distributed SVM Applied to Image Classification. ICME 2006: 1753-1756 - [c7]Effrosini Kokiopoulou, Pascal Frossard:
Classification-Specific Feature Sampling for Face Recognition. MMSP 2006: 20-23 - 2005
- [j1]Constantine Bekas, Effrosini Kokiopoulou, Efstratios Gallopoulos:
The design of a distributed MATLAB-based environment for computing pseudospectra. Future Gener. Comput. Syst. 21(6): 930-941 (2005) - [c6]Effrosini Kokiopoulou, Yousef Saad:
Orthogonal Neighborhood Preserving Projections. ICDM 2005: 234-241 - [c5]Effrosini Kokiopoulou, Yousef Saad:
Face recognition using OPRA-faces. ICMLA 2005 - [c4]Effrosini Kokiopoulou, Yousef Saad:
PCA without eigenvalue calculations: a case study on face recognition. SDM 2005: 511-515 - 2004
- [c3]Effrosini Kokiopoulou, Yousef Saad:
Polynomial filtering in latent semantic indexing for information retrieval. SIGIR 2004: 104-111 - 2002
- [c2]Constantine Bekas, Effrosini Kokiopoulou, Efstratios Gallopoulos, Valeria Simoncini:
Parallel Computation of Pseudospectra Using Transfer Functions on a MATLAB-MPI Cluster Platform. PVM/MPI 2002: 199-207 - 2001
- [c1]Constantine Bekas, Effrosini Kokiopoulou, Ioannis Koutis, Efstratios Gallopoulos:
Towards the effective parallel computation of matrix pseudospectra. ICS 2001: 260-269
Coauthor Index
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