Conference Papers

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.

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.

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.

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.

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.

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.

U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search

A. C. Yuzuguler; N. Dimitriadis; P. Frossard 

2022-01-01. 17th European Conference on Computer Vision (ECCV), Tel Aviv, ISRAEL, Oct 23-27, 2022. p. 173-190. DOI : 10.1007/978-3-031-19775-8_11.

A Structured Dictionary Perspective on Implicit Neural Representations

G. Yuce; G. Ortiz-Jimenez; B. Besbinar; P. Frossard 

2022-01-01. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, Jun 18-24, 2022. p. 19206-19216. DOI : 10.1109/CVPR52688.2022.01863.

Block-Sparse Adversarial Attack To Fool Transformer-Based Text Classifiers

S. Sadrizadeh; L. Dolamic; P. Frossard 

2022-01-01. 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, SINGAPORE, May 22-27, 2022. p. 7837-7841. DOI : 10.1109/ICASSP43922.2022.9747475.

Distributed Graph Learning With Smooth Data Priors

I. C. M. Nobre; M. El Gheche; P. Frossard 

2022-01-01. 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, SINGAPORE, May 22-27, 2022. p. 5852-5856. DOI : 10.1109/ICASSP43922.2022.9746545.

Annihilation Filter Approach For Estimating Graph Dynamics From Diffusion Processes

A. Venkitaraman; P. Frossard 

2022-01-01. 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, SINGAPORE, May 22-27, 2022. p. 5583-5587. DOI : 10.1109/ICASSP43922.2022.9747457.

What can linearized neural networks actually say about generalization?

G. Ortiz Jimenez; S. M. Moosavi Dezfooli; P. Frossard 

2021-12-06. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, December 6-14, 2021.

On the benefits of robust models in modulation recognition

J. A. Maroto Morales; G. Bovet; P. Frossard 

2021-03-27. Conference on Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, Orlando, Florida, USA, April 12-16, 2021. p. 1174611. DOI : 10.1117/12.2587156.

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