Recent Publications

SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention

Q. Yang; Y. Li; C. Li; H. Wang; S. Yan et al. 

Ieee Transactions On Multimedia. 2024-01-01. Vol. 26, p. 3061-3076. DOI : 10.1109/TMM.2023.3306596.

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Network time series forecasting in photovoltaics power production

J. Simeunovic / P. Frossard; R. E. Carrillo Rangel (Dir.)  

Lausanne, EPFL, 2024. 

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Sparse Attacks for Manipulating Explanations in Deep Neural Network Models

A. Ajalloeian; S. M. Moosavi-Dezfooli; M. Vlachos; P. Frossard 

2023-01-01. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, PEOPLES R CHINA, DEC 01-04, 2023. p. 918-923. DOI : 10.1109/ICDM58522.2023.00101.

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Knowledge Distillation with Graph Neural Networks for Epileptic Seizure Detection

Q. Zheng; A. Venkitaraman; S. Petravic; P. Frossard 

2023-01-01. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, ITALY, SEP 18-22, 2023. p. 547-563. DOI : 10.1007/978-3-031-43427-3_33.

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Online Network Source Optimization with Graph-Kernel MAB

L. Toni; P. Frossard 

2023-01-01. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, ITALY, SEP 18-22, 2023. p. 242-258. DOI : 10.1007/978-3-031-43418-1_15.

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MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation

C. Vignac; N. Osman; L. Toni; P. Frossard 

2023-01-01. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, ITALY, SEP 18-22, 2023. p. 560-576. DOI : 10.1007/978-3-031-43415-0_33.

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Estimating pollution spread in water networks as a Schrödinger bridge problem with partial information

M. Mascherpa; I. Haasler; B. Ahlgren; J. Karlsson 

European Journal Of Control. 2023-11-08. Vol. 74, p. 100846. DOI : 10.1016/j.ejcon.2023.100846.

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Privacy-Preserving Image Acquisition for Neural Vision Systems

Y. Sepehri; P. Pad; C. Kundig; P. Frossard; L. A. Dunbar 

Ieee Transactions On Multimedia. 2023-01-01. Vol. 25, p. 6232-6244. DOI : 10.1109/TMM.2022.3207018.

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Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

C. He; R. G. d. A. Azevedo; J. Chen; S. Zhu; B. Zeng et al. 

Ieee Transactions On Circuits And Systems For Video Technology. 2023-10-01. Vol. 33, num. 10, p. 6185-6190. DOI : 10.1109/TCSVT.2023.3245066.

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The inductive bias of deep learning: Connecting weights and functions

G. Ortiz Jimenez / P. Frossard (Dir.)  

Lausanne, EPFL, 2023. 

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Equivariant Neural Architectures for Representing and Generating Graphs

C. A. Y. Vignac / P. Frossard (Dir.)  

Lausanne, EPFL, 2023. 

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Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

K. Sherratt; H. Gruson; R. Grah; H. Johnson; R. Niehus et al. 

Elife. 2023-04-21. Vol. 12, p. e81916. DOI : 10.7554/eLife.81916.

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Mean Field Type Control With Species Dependent Dynamics via Structured Tensor Optimization

A. Ringh; I. Haasler; Y. Chen; J. Karlsson 

Ieee Control Systems Letters. 2023-01-01. Vol. 7, p. 2898-2903. DOI : 10.1109/LCSYS.2023.3289050.

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Scalable Computation of Dynamic Flow Problems via Multimarginal Graph-Structured Optimal Transport

I. Haasler; A. Ringh; Y. Chen; J. Karlsson 

Mathematics Of Operations Research. 2023-06-15. DOI : 10.1287/moor.2021.148.

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Data-driven approaches for non-invasive cuffless blood pressure monitoring

C. L. Aguet / P. Frossard; J. S. Van Zaen (Dir.)  

Lausanne, EPFL, 2023. 

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Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation

S. Kim; S. Kim; D. Min; P. Frossard; K. Sohn 

Ieee Transactions On Pattern Analysis And Machine Intelligence. 2023-05-01. Vol. 45, num. 5, p. 6372-6385. DOI : 10.1109/TPAMI.2022.3207286.

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Estimating and Improving the Robustness of Attributions in Text

Á. D. Ivánkay / P. Frossard (Dir.)  

Lausanne, EPFL, 2023. 

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On the Granularity of Explanations in Model Agnostic NLP Interpretability

Y. Rychener; X. Renard; D. Seddah; P. Frossard; M. Detyniecki 

2023-01-01. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Grenoble, FRANCE, Sep 19-23, 2022. p. 498-512. DOI : 10.1007/978-3-031-23618-1_33.

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Blood pressure monitoring during anesthesia induction using PPG morphology features and machine learning

C. Aguet; J. Jorge; J. Van Zaen; M. Proenca; G. Bonnier et al. 

Plos One. 2023-02-03. Vol. 18, num. 2, p. e0279419. DOI : 10.1371/journal.pone.0279419.

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Graph Signal Separation Based on Smoothness or Sparsity in the Frequency Domain

S. Mohammadi; M. Babaie-Zadeh; D. Thanou 

IEEE Transactions On Signal And Information Processing Over Networks. 2023-01-01. Vol. 9, p. 152-161. DOI : 10.1109/TSIPN.2023.3254443.

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Hardware-Software Co-design for Improved Resource Utilization in DNN Accelerators

A. C. Yüzügüler / P. Frossard (Dir.)  

Lausanne, EPFL, 2023. 

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Deep learning-based prediction of future myocardial infarction using invasive coronary angiography: a feasibility study

T. Mahendiran; D. Thanou; O. Senouf; D. Meier; N. Dayer et al. 

Open Heart. 2023-01-01. Vol. 10, num. 1, p. e002237. DOI : 10.1136/openhrt-2022-002237.

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On Smoothed Explanations: Quality and Robustness

A. Ajalloeian; S. M. Moosavi-Dezfooli; M. Vlachos; P. Frossard 

2022-01-01. 31st ACM International Conference on Information and Knowledge Management (CIKM), Atlanta, GA, OCT 17-21, 2022. p. 15-25. DOI : 10.1145/3511808.3557409.

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Equivariant Diffusion for Molecule Generation in 3D

E. Hoogeboom; V. G. Satorras; C. Vignac; M. Welling 

2022-01-01. 38th International Conference on Machine Learning (ICML), Baltimore, MD, Jul 17-23, 2022.

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fGOT: Graph Distances Based on Filters and Optimal Transport

H. P. Maretic; M. El Gheche; G. Chierchia; P. Frossard 

2022-01-01. 36th AAAI Conference on Artificial Intelligence / 34th Conference on Innovative Applications of Artificial Intelligence / 12th Symposium on Educational Advances in Artificial Intelligence, ELECTR NETWORK, Feb 22-Mar 01, 2022. p. 7710-7718. DOI : 10.1609/aaai.v36i7.20738.

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PRIME: A Few Primitives Can Boost Robustness to Common Corruptions

A. Modas; R. Rade; G. Ortiz-Jimenez; S-M. Moosavi-Dezfooli; P. Frossard 

2022-01-01. 17th European Conference on Computer Vision (ECCV), Tel Aviv, ISRAEL, Oct 23-27, 2022. p. 623-640. DOI : 10.1007/978-3-031-19806-9_36.

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Data augmentation with mixtures of max-entropy transformations for filling-level classification

A. Modas; A. Cavallaro; P. Frossard 

2022-01-01. 30th European Signal Processing Conference (EUSIPCO), Belgrade, SERBIA, Aug 29-Sep 02, 2022. p. 1606-1610. DOI : 10.23919/EUSIPCO55093.2022.9909758.

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Adversarial training with informed data selection

M. O. K. Mendonca; J. Maroto; P. Frossard; P. S. R. Diniz 

2022-01-01. 30th European Signal Processing Conference (EUSIPCO), Belgrade, SERBIA, Aug 29-Sep 02, 2022. p. 608-612. DOI : 10.23919/EUSIPCO55093.2022.9909845.

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SafeAMC: Adversarial training for robust modulation classification models

J. Maroto; G. Bovet; P. Frossard 

2022-01-01. 30th European Signal Processing Conference (EUSIPCO), Belgrade, SERBIA, Aug 29-Sep 02, 2022. p. 1636-1640. DOI : 10.23919/EUSIPCO55093.2022.9909941.

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A Methodology for Evaluating the Robustness of Anomaly Detectors to Adversarial Attacks in Industrial Scenarios

A. L. Perales Gomez; L. Fernandez Maimo; F. J. Garcia Clemente; J. A. Maroto Morales; A. Huertas Celdran et al. 

Ieee Access. 2022-01-01. Vol. 10, p. 124582-124594. DOI : 10.1109/ACCESS.2022.3224930.

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