Ilyass Moummad

According to our database, Ilyass Moummad authored at least 19 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Self-Supervised Learning of Plant Image Representations.

Ilyass Moummad, Kawtar Zaher, Hervé Goëau, Jean-Christophe Lombardo, Pierre Bonnet, Alexis Joly

CoRR, April, 2026

Energy-Efficient Plant Monitoring via Knowledge Distillation.

Ilyass Moummad, Reda Bensaid, Kawtar Zaher, Hervé Goëau, Jean-Christophe Lombardo, Joseph Salmon, Pierre Bonnet, Alexis Joly

CoRR, April, 2026

MUKA: Multi Kernel Audio Adaptation Of Audio-Language Models.

Reda Bensaid, Amine Ouasfi, Yassir Bendou, Ilyass Moummad, Vincent Gripon, François Leduc-Primeau, Adnane Boukhayma

CoRR, February, 2026

Self-Supervised Learning as Discrete Communication.

Kawtar Zaher, Ilyass Moummad, Olivier Buisson, Alexis Joly

CoRR, February, 2026

Audio-to-Image Bird Species Retrieval without Audio-Image Pairs via Text Distillation.

Ilyass Moummad, Marius Miron, Lukas Rauch, David Robinson, Alexis Joly, Olivier Pietquin, Emmanuel Chemla, Matthieu Geist

CoRR, February, 2026

Compact Hypercube Embeddings for Fast Text-based Wildlife Observation Retrieval.

Ilyass Moummad, Marius Miron, David Robinson, Kawtar Zaher, Hervé Goëau, Olivier Pietquin, Pierre Bonnet, Emmanuel Chemla, Matthieu Geist, Alexis Joly

CoRR, January, 2026

2025

Image Hashing via Cross-View Code Alignment in the Age of Foundation Models.

Ilyass Moummad, Kawtar Zaher, Hervé Goëau, Alexis Joly

CoRR, October, 2025

Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification.

Lukas Rauch, René Heinrich, Houtan Ghaffari, Lukas Miklautz, Ilyass Moummad, Bernhard Sick, Christoph Scholz

CoRR, September, 2025

Hashing-Baseline: Rethinking Hashing in the Age of Pretrained Models.

Ilyass Moummad, Kawtar Zaher, Lukas Rauch, Alexis Joly

CoRR, September, 2025

Can Masked Autoencoders Also Listen to Birds?

Lukas Rauch, René Heinrich, Ilyass Moummad, Alexis Joly, Bernhard Sick, Christoph Scholz

Trans. Mach. Learn. Res., 2025

Acoustic Identification of Individual Animals with Hierarchical Contrastive Learning.

Inês Nolasco, Ilyass Moummad, Dan Stowell, Emmanouil Benetos

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Invariant representation learning for few-shot bioacoustic event detection and classification. (Apprentissage de représentations invariantes pour la détection et la classification d'événements bioacoustiques dans des scénarios d'apprentissage à partir de peu d'exemples).

Ilyass Moummad

PhD thesis, 2024

Domain-Invariant Representation Learning of Bird Sounds.

Ilyass Moummad, Romain Serizel, Emmanouil Benetos, Nicolas Farrugia

CoRR, 2024

Self-Supervised Learning for Few-Shot Bird Sound Classification.

Ilyass Moummad, Nicolas Farrugia, Romain Serizel

Proceedings of the IEEE International Conference on Acoustics, 2024

Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds.

Ilyass Moummad, Nicolas Farrugia, Romain Serizel, Jeremy Froidevaux, Vincent Lostanlen

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection.

Ilyass Moummad, Romain Serizel, Nicolas Farrugia

CoRR, 2023

Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning.

Ilyass Moummad, Romain Serizel, Nicolas Farrugia

CoRR, 2023

Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning.

Ilyass Moummad, Nicolas Farrugia

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

2022

Supervised Contrastive Learning for Respiratory Sound Classification.

Ilyass Moummad, Nicolas Farrugia

CoRR, 2022