Gaëtan Hadjeres

Orcid: 0000-0003-1462-6103

According to our database1, Gaëtan Hadjeres authored at least 25 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
PESTO: Pitch Estimation With Self-Supervised Transposition-Equivariant Objective.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

2021
The Piano Inpainting Application.
CoRR, 2021

Spectrogram Inpainting for Interactive Generation of Instrument Sounds.
CoRR, 2021

CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis.
Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

2020
Anticipation-RNN: enforcing unary constraints in sequence generation, with application to interactive music generation.
Neural Comput. Appl., 2020

Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation.
CoRR, 2020

Vector Quantized Contrastive Predictive Coding for Template-based Music Generation.
CoRR, 2020

Quasiconvex Jensen Divergences and Quasiconvex Bregman Divergences.
Proceedings of the Geometric Structures of Statistical Physics, Information Geometry, and Learning, 2020

Deep Learning Techniques for Music Generation
Springer, ISBN: 978-3-319-70162-2, 2020

2019
A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof.
CoRR, 2019

On power chi expansions of f-divergences.
CoRR, 2019

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

Learning to Traverse Latent Spaces for Musical Score Inpainting.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

NONOTO: A Model-agnostic Web Interface for Interactive Music Composition by Inpainting.
Proceedings of the Tenth International Conference on Computational Creativity, 2019

Neural Drum Machine : An Interactive System for Real-time Synthesis of Drum Sounds.
Proceedings of the Tenth International Conference on Computational Creativity, 2019

2018
Interactive deep generative models for symbolic music. (Modèles génératifs profonds pour la génération interactive de musique symbolique).
PhD thesis, 2018

Monte Carlo Information Geometry: The dually flat case.
CoRR, 2018

2017
Interactive Music Generation with Positional Constraints using Anticipation-RNNs.
CoRR, 2017

Deep Learning Techniques for Music Generation - A Survey.
CoRR, 2017

Deep rank-based transposition-invariant distances on musical sequences.
CoRR, 2017

GLSR-VAE: Geodesic latent space regularization for variational autoencoder architectures.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

DeepBach: a Steerable Model for Bach Chorales Generation.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Style Imitation and Chord Invention in Polyphonic Music with Exponential Families.
CoRR, 2016

DeepBach: a Steerable Model for Bach chorales generation.
CoRR, 2016

2015
Approximating Covering and Minimum Enclosing Balls in Hyperbolic Geometry.
Proceedings of the Geometric Science of Information - Second International Conference, 2015


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