Comparing Representations for Audio Synthesis Using Generative Adversarial Networks. - Javier Nistal; Stefan Lattner; Gaël Richard (EUSIPCO, 2020)

DRUMGAN: Synthesis of Drum Sounds with Timbral Feature Conditioning Using Generative Adversarial Networks. - Javier Nistal; Stefan Lattner; Gaël Richard (ISMIR, 2020)

DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis With GANs. - Javier Nistal; Stefan Lattner; Gaël Richard (ISMIR, 2021)

VQCPC-GAN: Variable-Length Adversarial Audio Synthesis Using Vector-Quantized Contrastive Predictive Coding. - Javier Nistal; Cyran Aouameur; Stefan Lattner; Gaël Richard (WASPAA, 2021)

DrumGAN VST: A Plugin for Drum Sound Analysis/Synthesis With Autoencoding Generative Adversarial Networks. - Javier Nistal; Cyran Aouameur; Ithan Velarde; Stefan Lattner (CoRR, 2022)

Stochastic Restoration of Heavily Compressed Musical Audio using Generative Adversarial Networks. - Stefan Lattner; Javier Nistal (CoRR, 2022)

On the Development and Practice of AI Technology for Contemporary Popular Music Production. - Emmanuel Deruty; Maarten Grachten; Stefan Lattner; Javier Nistal; Cyran Aouameur (Trans. Int. Soc. Music. Inf. Retr., 2022)

Exploring generative adversarial networks for controllable musical audio synthesis. (Synthèse audio musicale contrôlable à l'aide de réseaux adverses génératifs). - Javier Nistal (2022)

Diff-a-Riff: Musical Accompaniment Co-Creation via Latent Diffusion Models. - Javier Nistal; Marco Pasini; Cyran Aouameur; Maarten Grachten; Stefan Lattner (ISMIR, 2024)

Improving Musical Accompaniment Co-creation via Diffusion Transformers. - Javier Nistal; Marco Pasini; Stefan Lattner (CoRR, 2024)

Continuous Autoregressive Models with Noise Augmentation Avoid Error Accumulation. - Marco Pasini; Javier Nistal; Stefan Lattner; George Fazekas (CoRR, 2024)

Accompaniment Prompt Adherence: A measure for evaluating music accompaniment systems. - Maarten Grachten; Javier Nistal (ICASSP, 2025)

LiLAC: A Lightweight Latent ControlNet for Musical Audio Generation. - Tom Baker; Javier Nistal (CoRR, 2025)