Recent Publications

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.

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.

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.

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.

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.

The inductive bias of deep learning: Connecting weights and functions

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

Lausanne, EPFL, 2023. 

Equivariant Neural Architectures for Representing and Generating Graphs

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

Lausanne, EPFL, 2023. 

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.

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

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

Lausanne, EPFL, 2023. 

Estimating and Improving the Robustness of Attributions in Text

Á. D. Ivánkay / P. Frossard (Dir.)  

Lausanne, EPFL, 2023. 

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.

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.

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

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

Lausanne, EPFL, 2023. 

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.

Anatomy-informed multimodal learning for myocardial infarction prediction

I-D. Sievering; O. Y. Senouf; T. Mahendiran; D. Nanchen; S. Fournier et al. 

2022-12-02. MedNeurIPS.

Attention-based learning of views fusion applied to myocardial infarction diagnosis from x-ray CT

J. J. Gwizdala; O. Y. Senouf; D. Auberson; D. Meier; D. Rotzinger et al. 

2022-12-02. MedNeurIPS.

Interpretable temporal-spatial graph attention network for multi-site PV power forecasting

J. Simeunovic; B. Schubnel; P-J. Alet; R. E. Carrillo; P. Frossard 

Applied Energy. 2022-12-01. Vol. 327, p. 120127. DOI : 10.1016/j.apenergy.2022.120127.

Landmarking for Navigational Streaming of Stored High-Dimensional Media

Y. Yuan; G. Cheung; P. Frossard; H. V. Zhao; J. Huang 

Ieee Transactions On Circuits And Systems For Video Technology. 2022-08-01. Vol. 32, num. 8, p. 5663-5679. DOI : 10.1109/TCSVT.2022.3150780.

Post Hoc Explainability for Time Series Classification Toward a signal processing perspective

R. Mochaourab; A. Venkitaraman; I. Samsten; P. Papapetrou; C. R. Rojas 

Ieee Signal Processing Magazine. 2022-07-01. Vol. 39, num. 4, p. 119-129. DOI : 10.1109/MSP.2022.3155955.

Dynamics of functional network organization through graph mixture learning

I. Ricchi; A. Tarun; H. P. Maretic; P. Frossard; D. Van De Ville 

Neuroimage. 2022-05-15. Vol. 252, p. 119037. DOI : 10.1016/j.neuroimage.2022.119037.

Spatio-Temporal Graph Neural Networks for Multi-Site PV Power Forecasting

J. Simeunovic; B. Schubnel; P-J. Alet; R. E. Carrillo 

Ieee Transactions On Sustainable Energy. 2022-04-01. Vol. 13, num. 2, p. 1210-1220. DOI : 10.1109/TSTE.2021.3125200.

Impulsive noise removal via a blind CNN enhanced by an iterative post-processing

S. Sadrizadeh; H. Otroshi-Shahreza; F. Marvasti 

Signal Processing. 2022-03-01. Vol. 192, p. 108378. DOI : 10.1016/j.sigpro.2021.108378.

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.

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.

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.

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.

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.

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.

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.

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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