Ilyass Moummad

21 papers Misc 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Audio-to-Image Bird Species Retrieval without Audio-Image Pairs via Text Distillation. CoRR Ilyass Moummad, Marius Miron, Lukas Rauch, David Robinson, Alexis Joly, Olivier Pietquin, Emmanuel Chemla, Matthieu Geist
2026	J	`jnl`	Compact Hypercube Embeddings for Fast Text-based Wildlife Observation Retrieval. CoRR Ilyass Moummad, Marius Miron, David Robinson, Kawtar Zaher, Hervé Goëau, Olivier Pietquin, Pierre Bonnet, Emmanuel Chemla, Matthieu Geist, Alexis Joly
2026	J	`jnl`	MUKA: Multi Kernel Audio Adaptation Of Audio-Language Models. CoRR Reda Bensaid, Amine Ouasfi, Yassir Bendou, Ilyass Moummad, Vincent Gripon, François Leduc-Primeau, Adnane Boukhayma
2026	J	`jnl`	Self-Supervised Learning as Discrete Communication. CoRR Kawtar Zaher, Ilyass Moummad, Olivier Buisson, Alexis Joly
2025	Misc	`conf`	Acoustic Identification of Individual Animals with Hierarchical Contrastive Learning. ICASSP Inês Nolasco, Ilyass Moummad, Dan Stowell, Emmanouil Benetos
2025	J	`jnl`	Can Masked Autoencoders Also Listen to Birds? CoRR Lukas Rauch, Ilyass Moummad, René Heinrich, Alexis Joly, Bernhard Sick, Christoph Scholz
2025	J	`jnl`	Can Masked Autoencoders Also Listen to Birds? Trans. Mach. Learn. Res. Lukas Rauch, René Heinrich, Ilyass Moummad, Alexis Joly, Bernhard Sick, Christoph Scholz
2025	J	`jnl`	Hashing-Baseline: Rethinking Hashing in the Age of Pretrained Models. CoRR Ilyass Moummad, Kawtar Zaher, Lukas Rauch, Alexis Joly
2025	J	`jnl`	Image Hashing via Cross-View Code Alignment in the Age of Foundation Models. CoRR Ilyass Moummad, Kawtar Zaher, Hervé Goëau, Alexis Joly
2025	J	`jnl`	Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification. CoRR Lukas Rauch, René Heinrich, Houtan Ghaffari, Lukas Miklautz, Ilyass Moummad, Bernhard Sick, Christoph Scholz
2024	J	`jnl`	Acoustic identification of individual animals with hierarchical contrastive learning. CoRR Inês Nolasco, Ilyass Moummad, Dan Stowell, Emmanouil Benetos
2024	J	`jnl`	Domain-Invariant Representation Learning of Bird Sounds. CoRR Ilyass Moummad, Romain Serizel, Emmanouil Benetos, Nicolas Farrugia
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
2024	—	`conf`	Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds. EUSIPCO Ilyass Moummad, Nicolas Farrugia, Romain Serizel, Jeremy Froidevaux, Vincent Lostanlen
2024	J	`jnl`	Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds. CoRR Ilyass Moummad, Nicolas Farrugia, Romain Serizel, Jeremy Froidevaux, Vincent Lostanlen
2024	—	`conf`	Self-Supervised Learning for Few-Shot Bird Sound Classification. ICASSP Workshops Ilyass Moummad, Nicolas Farrugia, Romain Serizel
2023	J	`jnl`	Pretraining Representations for Bioacoustic Few-shot Detection using Supervised Contrastive Learning. CoRR Ilyass Moummad, Romain Serizel, Nicolas Farrugia
2023	—	`conf`	Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning. WASPAA Ilyass Moummad, Nicolas Farrugia
2023	J	`jnl`	Regularized Contrastive Pre-training for Few-shot Bioacoustic Sound Detection. CoRR Ilyass Moummad, Romain Serizel, Nicolas Farrugia
2023	J	`jnl`	Self-Supervised Learning for Few-Shot Bird Sound Classification. CoRR Ilyass Moummad, Romain Serizel, Nicolas Farrugia
2022	J	`jnl`	Supervised Contrastive Learning for Respiratory Sound Classification. CoRR Ilyass Moummad, Nicolas Farrugia