Head and Facial Action Tracking: Comparison of Two Robust Approaches. - Romain Hérault; Franck Davoine; Yves Grandvalet (FGR, 2006)

Sparse probabilistic classifiers. - Romain Hérault; Yves Grandvalet (ICML, 2007)

Learning Deep Neural Networks for High Dimensional Output Problems. - Benjamin Labbé; Romain Hérault; Clément Chatelain 001 (ICMLA, 2009)

Detection and quantification in real-time polymerase chain reaction. - Abou Keita; Romain Hérault; Colas Calbrix; Stéphane Canu (ESANN, 2013)

Key Point Selection and Clustering of Swimmer Coordination Through Sparse Fisher-EM. - John Komar; Romain Hérault; Ludovic Seifert (MLSA@PKDD/ECML, 2013)

Supervised Music Chord Recognition. - Imad Rida; Romain Hérault; Gilles Gasso (ICMLA, 2014)

Valuation of Climbing Activities Using Multi-Scale Stochastic Neighbour Embedding. - Romain Hérault; Jérémie Boulanger; Ludovic Seifert; John Aldo Lee (MLSA@PKDD/ECML, 2015)

Input/Output Deep Architecture for Structured Output Problems. - Soufiane Belharbi; Clément Chatelain 001; Romain Hérault; Sébastien Adam (CoRR, 2015)

Automatic sensor-based detection and classification of climbing activities. - Jérémie Boulanger; Ludovic Seifert; Romain Hérault; Jean-François Coeurjolly (CoRR, 2015)

IODA: An input/output deep architecture for image labeling. - Julien Lerouge; Romain Hérault; Clément Chatelain 001; Fabrice Jardin; Romain Modzelewski (Pattern Recognit., 2015)

Deep multi-task learning with evolving weights. - Soufiane Belharbi; Romain Hérault; Clément Chatelain 001; Sébastien Adam (ESANN, 2016)

Special issue: Advances in artificial neural networks, machine learning and computational intelligenceSelected papers from the 23rd European Symposium on Artificial Neural Networks (ESANN 2015). - Fabio Aiolli; Kerstin Bunte; Romain Hérault; Mikhail F. Kanevski (Neurocomputing, 2016)

Spotting L3 slice in CT scans using deep convolutional network and transfer learning. - Soufiane Belharbi; Clément Chatelain 001; Romain Hérault; Sébastien Adam; Sébastien Thureau; Mathieu Chastan; Romain Modzelewski (Comput. Biol. Medicine, 2017)

Efficient training-image based geostatistical simulation and inversion using a spatial generative adversarial neural network. - Eric Laloy; Romain Hérault; Diederik Jacques; Niklas Linde (CoRR, 2017)

Neural Networks Regularization Through Class-wise Invariant Representation Learning. - Soufiane Belharbi; Clément Chatelain 001; Romain Hérault; Sébastien Adam (CoRR, 2017)

Comparing dynamics of fluency and inter-limb coordination in climbing activities using multi-scale Jensen-Shannon embedding and clustering. - Romain Hérault; Dominic Orth; Ludovic Seifert; Jérémie Boulanger; John Aldo Lee (Data Min. Knowl. Discov., 2017)

Advances in artificial neural networks, machine learning and computational intelligence. - Fabio Aiolli; Gaëlle Bonnet-Loosli; Romain Hérault (Neurocomputing, 2017)

An efficient supervised dictionary learning method for audio signal recognition. - Imad Rida; Romain Hérault; Gilles Gasso (CoRR, 2018)

Deep neural networks regularization for structured output prediction. - Soufiane Belharbi; Romain Hérault; Clément Chatelain 001; Sébastien Adam (Neurocomputing, 2018)

Pixel-wise Conditioning of Generative Adversarial Networks. - Cyprien Ruffino; Romain Hérault; Eric Laloy; Gilles Gasso (ESANN, 2019)

Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation. - Cyprien Ruffino; Romain Hérault; Eric Laloy; Gilles Gasso (CoRR, 2019)

Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible? - Eric Laloy; Niklas Linde; Cyprien Ruffino; Romain Hérault; Gilles Gasso; Diederik Jacques (Comput. Geosci., 2019)

Palmprint recognition with an efficient data driven ensemble classifier. - Imad Rida; Romain Hérault; Gian Luca Marcialis; Gilles Gasso (Pattern Recognit. Lett., 2019)

Learning from Partially Labeled Sequences for Behavioral Signal Annotation. - Anna Aniszewska-Stepien; Romain Hérault; Guillaume Hacques; Ludovic Seifert; Gilles Gasso (MLSA@PKDD/ECML, 2020)

Open Set Domain Adaptation Using Optimal Transport. - Marwa Kechaou; Romain Hérault; Mokhtar Z. Alaya; Gilles Gasso (ECML/PKDD (1), 2020)

Pixel-wise conditioned generative adversarial networks for image synthesis and completion. - Cyprien Ruffino; Romain Hérault; Eric Laloy; Gilles Gasso (Neurocomputing, 2020)

Identifying patterns in trunk/head/elbow changes of riders and non-riders: A cluster analysis approach. - Imen Trabelsi 001; Romain Hérault; Héloise Baillet; Régis Thouvarecq; Ludovic Seifert; Gilles Gasso (Comput. Biol. Medicine, 2022)

Physically-admissible polarimetric data augmentation for road-scene analysis. - Cyprien Ruffino; Rachel Blin; Samia Ainouz 001; Gilles Gasso; Romain Hérault; Fabrice Mériaudeau; Stéphane Canu (Comput. Vis. Image Underst., 2022)

Domain Translation via Latent Space Mapping. - Tsiry Mayet; Simon Bernard 001; Clément Chatelain 001; Romain Hérault (IJCNN, 2023)

Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning. - Julien Denize; Jaonary Rabarisoa; Astrid Orcesi; Romain Hérault; Stéphane Canu (WACV, 2023)

Multiple Noises in Diffusion Model for Semi-Supervised Multi-Domain Translation. - Tsiry Mayet; Simon Bernard 001; Clément Chatelain 001; Romain Hérault (CoRR, 2023)

Similarity contrastive estimation for image and video soft contrastive self-supervised learning. - Julien Denize; Jaonary Rabarisoa; Astrid Orcesi; Romain Hérault (Mach. Vis. Appl., 2023)

COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting Using Transformers. - Julien Denize; Mykola Liashuha; Jaonary Rabarisoa; Astrid Orcesi; Romain Hérault (WACV (Workshops), 2024)

TD-Paint: Faster Diffusion Inpainting Through Time-Aware Pixel Conditioning. - Tsiry Mayet; Pourya Shamsolmoali; Simon Bernard 001; Eric Granger; Romain Hérault; Clément Chatelain 001 (ICLR, 2025)

One-Class SVM-guided Negative Sampling for Enhanced Contrastive Learning. - Dhruv Jain; Tsiry Mayet; Romain Hérault; Romain Modzelewski (NLDL, 2025)

Postural regulation and signal segmentation using clustering with TV regularization approach. - Imen Trabelsi 001; Romain Hérault; Héloise Baillet; Régis Thouvarecq; Ludovic Seifert; Gilles Gasso (Biomed. Signal Process. Control., 2025)

Adversarial Semi-supervised domain adaptation for semantic segmentation: A new role for labeled target samples. - Marwa Kechaou; Mokhtar Z. Alaya; Romain Hérault; Gilles Gasso (Comput. Vis. Image Underst., 2025)

Predicting Patient Survival with Airway Biomarkers using nn-Unet/Radiomics. - Zacharia Mesbah; Dhruv Jain; Tsiry Mayet; Romain Modzelewski; Romain Hérault; Simon Bernard 001; Sébastien Thureau; Clément Chatelain 001 (CoRR, 2025)

Differential-UMamba: Rethinking Tumor Segmentation Under Limited Data Scenarios. - Dhruv Jain; Romain Modzelewski; Romain Hérault; Clément Chatelain 001; Eva Torfeh; Sébastien Thureau (CoRR, 2025)