A structured nonnegative matrix factorization for source separation. - Clement Laroche; Matthieu Kowalski; Hélène Papadopoulos; Gaël Richard (EUSIPCO, 2015)

Genre Specific Dictionaries for Harmonic/Percussive Source Separation. - Clement Laroche; Hélène Papadopoulos; Matthieu Kowalski; Gaël Richard (ISMIR, 2016)

Drum extraction in single channel audio signals using multi-layer Non negative Matrix Factor Deconvolution. - Clement Laroche; Hélène Papadopoulos; Matthieu Kowalski; Gaël Richard (ICASSP, 2017)

Matrix Representations by Means of Interpolation. - Ioannis Z. Emiris; Christos Konaxis; Ilias S. Kotsireas; Clément Laroche (ISSAC, 2017)

Hybrid Projective Nonnegative Matrix Factorization With Drum Dictionaries for Harmonic/Percussive Source Separation. - Clement Laroche; Matthieu Kowalski; Hélène Papadopoulos; Gaël Richard (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Implicitizing rational curves by the method of moving quadrics. - Laurent Busé; Clément Laroche; Fatmanur Yildirim (Comput. Aided Des., 2019)

Implicit representations of high-codimension varieties. - Ioannis Z. Emiris; Christos Konaxis; Clément Laroche (Comput. Aided Geom. Des., 2019)

Demystifying Orthogonal Monte Carlo and Beyond. - Han Lin; Haoxian Chen 002; Krzysztof Marcin Choromanski; Tianyi Zhang; Clement Laroche (NeurIPS, 2020)

An Implicit Representation of Swept Volumes based on Local Shapes and Movements. - Clément Laroche (CoRR, 2020)

On Crowdsourcing-Design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms. - Angélica S. Z. Suárez; Clément Laroche; Line H. Clemmensen; Sneha Das (ICASSP, 2023)

Dynamic nsNET2: Efficient Deep Noise Suppression with Early Exiting. - Riccardo Miccini; Alaa Zniber; Clément Laroche; Tobias Piechowiak; Martin Schoeberl; Luca Pezzarossa; Ouassim Karrakchou; Jens Sparsø; Mounir Ghogho (MLSP, 2023)

Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps. - Mattias Nilsson; Riccardo Miccini; Clement Laroche; Tobias Piechowiak; Friedemann Zenke (INTERSPEECH, 2024)

NeuralCasting: A Front-End Compilation Infrastructure for Neural Networks. - Alessandro Cerioli; Riccardo Miccini; Clément Laroche; Tobias Piechowiak; Luca Pezzarossa; Jens Sparsø; Martin Schoeberl (IOTSMS, 2024)

Towards a tailored mixed-precision sub-8-bit quantization scheme for Gated Recurrent Units using Genetic Algorithms. - Riccardo Miccini; Alessandro Cerioli; Clément Laroche; Tobias Piechowiak; Jens Sparsø; Luca Pezzarossa (CoRR, 2024)

Comparing neural network architectures for non-intrusive speech quality prediction. - Leif Førland Schill; Tobias Piechowiak; Clément Laroche; Pejman Mowlaee (Speech Commun., 2024)

Scalable Speech Enhancement With Dynamic Channel Pruning. - Riccardo Miccini; Clément Laroche; Tobias Piechowiak; Luca Pezzarossa (ICASSP, 2025)

Neural Architecture Search for Efficient Mixed-Precision Quantization in Audio Denoising. - Alessandro Cerioli; Clément Laroche; Tobias Piechowiak; Luca Pezzarossa; Martin Schoeberl (PerCom Workshops, 2025)

Efficient Detection of Microplastics on Edge Devices With Tailored Compiler for TinyML Applications. - Alessandro Cerioli; Lorenzo Petrosino; Daniele Sasso; Clément Laroche; Tobias Piechowiak; Luca Pezzarossa; Mario Merone; Luca Vollero; Anna Sabatini (IEEE Access, 2025)

Adaptive Slimming for Scalable and Efficient Speech Enhancement. - Riccardo Miccini; Minje Kim; Clément Laroche; Luca Pezzarossa; Paris Smaragdis (CoRR, 2025)