Approximating Covering and Minimum Enclosing Balls in Hyperbolic Geometry. - Frank Nielsen; Gaëtan Hadjeres (GSI, 2015)

DeepBach: a Steerable Model for Bach chorales generation. - Gaëtan Hadjeres; François Pachet (CoRR, 2016)

Style Imitation and Chord Invention in Polyphonic Music with Exponential Families. - Gaëtan Hadjeres; Jason Sakellariou; François Pachet (CoRR, 2016)

DeepBach: a Steerable Model for Bach Chorales Generation. - Gaëtan Hadjeres; François Pachet; Frank Nielsen (ICML, 2017)

GLSR-VAE: Geodesic latent space regularization for variational autoencoder architectures. - Gaëtan Hadjeres; Frank Nielsen; François Pachet (SSCI, 2017)

Deep rank-based transposition-invariant distances on musical sequences. - Gaëtan Hadjeres; Frank Nielsen (CoRR, 2017)

Deep Learning Techniques for Music Generation - A Survey. - Jean-Pierre Briot; Gaëtan Hadjeres; François Pachet (CoRR, 2017)

Interactive Music Generation with Positional Constraints using Anticipation-RNNs. - Gaëtan Hadjeres; Frank Nielsen (CoRR, 2017)

Monte Carlo Information Geometry: The dually flat case. - Frank Nielsen; Gaëtan Hadjeres (CoRR, 2018)

Interactive deep generative models for symbolic music. (Modèles génératifs profonds pour la génération interactive de musique symbolique). - Gaëtan Hadjeres (2018)

Neural Drum Machine : An Interactive System for Real-time Synthesis of Drum Sounds. - Cyran Aouameur; Philippe Esling; Gaëtan Hadjeres (ICCC, 2019)

NONOTO: A Model-agnostic Web Interface for Interactive Music Composition by Inpainting. - Théis Bazin; Gaëtan Hadjeres (ICCC, 2019)

Learning to Traverse Latent Spaces for Musical Score Inpainting. - Ashis Pati; Alexander Lerch 001; Gaëtan Hadjeres (ISMIR, 2019)

Variation Network: Learning High-level Attributes for Controlled Input Manipulation. - Gaëtan Hadjeres (CoRR, 2019)

On power chi expansions of f-divergences. - Frank Nielsen; Gaëtan Hadjeres (CoRR, 2019)

A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof. - Frank Nielsen; Gaëtan Hadjeres (CoRR, 2019)

Deep Learning Techniques for Music Generation - Jean-Pierre Briot; Gaëtan Hadjeres; François-David Pachet (Springer, 2020)

Quasiconvex Jensen Divergences and Quasiconvex Bregman Divergences. - Frank Nielsen; Gaëtan Hadjeres (SPIGL, 2020)

Vector Quantized Contrastive Predictive Coding for Template-based Music Generation. - Gaëtan Hadjeres; Léopold Crestel (CoRR, 2020)

Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation. - Alisa Liu; Alexander Fang; Gaëtan Hadjeres; Prem Seetharaman; Bryan Pardo (CoRR, 2020)

Anticipation-RNN: enforcing unary constraints in sequence generation, with application to interactive music generation. - Gaëtan Hadjeres; Frank Nielsen (Neural Comput. Appl., 2020)

CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis. - Simon Rouard; Gaëtan Hadjeres (ISMIR, 2021)

Spectrogram Inpainting for Interactive Generation of Instrument Sounds. - Théis Bazin; Gaëtan Hadjeres; Philippe Esling; Mikhail Malt (CoRR, 2021)

The Piano Inpainting Application. - Gaëtan Hadjeres; Léopold Crestel (CoRR, 2021)

PESTO: Pitch Estimation With Self-Supervised Transposition-Equivariant Objective. - Alain Riou; Stefan Lattner; Gaëtan Hadjeres; Geoffroy Peeters (ISMIR, 2023)

Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning. - Alain Riou; Stefan Lattner; Gaëtan Hadjeres; Geoffroy Peeters (ICASSP Workshops, 2024)

Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation. - Alain Riou; Stefan Lattner; Gaëtan Hadjeres; Michael Anslow; Geoffroy Peeters (ISMIR, 2024)

Zero-shot Musical Stem Retrieval with Joint-Embedding Predictive Architectures. - Alain Riou; Antonin Gagneré; Gaëtan Hadjeres; Stefan Lattner; Geoffroy Peeters (ICASSP, 2025)

QINCODEC: Neural Audio Compression with Implicit Neural Codebooks. - Zineb Lahrichi; Gaëtan Hadjeres; Gaël Richard; Geoffroy Peeters (CoRR, 2025)

PESTO: Real-Time Pitch Estimation with Self-supervised Transposition-equivariant Objective. - Alain Riou; Bernardo Torres; Ben Hayes; Stefan Lattner; Gaëtan Hadjeres; Gaël Richard; Geoffroy Peeters (CoRR, 2025)