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ORCIDGaëtan Hadjeres
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2020 – today
- 2024
[c10]Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters:
Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning. ICASSP Workshops 2024: 680-684- [i21]Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters:
Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning. CoRR abs/2405.08679 (2024) - [i20]Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Michael Anslow, Geoffroy Peeters:
Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation. CoRR abs/2408.02514 (2024) - 2023
- [c9]Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters:
PESTO: Pitch Estimation With Self-Supervised Transposition-Equivariant Objective. ISMIR 2023: 535-544 - [i19]Alain Riou, Stefan Lattner, Gaëtan Hadjeres, Geoffroy Peeters:
PESTO: Pitch Estimation with Self-supervised Transposition-equivariant Objective. CoRR abs/2309.02265 (2023) - 2021
- [c8]Simon Rouard, Gaëtan Hadjeres:
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis. ISMIR 2021: 579-585 - [i18]Théis Bazin, Gaëtan Hadjeres, Philippe Esling, Mikhail Malt:
Spectrogram Inpainting for Interactive Generation of Instrument Sounds. CoRR abs/2104.07519 (2021) - [i17]Simon Rouard, Gaëtan Hadjeres:
CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis. CoRR abs/2106.07431 (2021) - [i16]Gaëtan Hadjeres, Léopold Crestel:
The Piano Inpainting Application. CoRR abs/2107.05944 (2021) - 2020
- [b2]Jean-Pierre Briot, Gaëtan Hadjeres, François-David Pachet:
Deep Learning Techniques for Music Generation. Springer 2020, ISBN 978-3-319-70162-2, pp. 1-249 - [j1]Gaëtan Hadjeres
, Frank Nielsen:
Anticipation-RNN: enforcing unary constraints in sequence generation, with application to interactive music generation. Neural Comput. Appl. 32(4): 995-1005 (2020) - [c7]Frank Nielsen, Gaëtan Hadjeres:
Quasiconvex Jensen Divergences and Quasiconvex Bregman Divergences. SPIGL 2020: 196-218 - [i15]Gaëtan Hadjeres, Léopold Crestel:
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation. CoRR abs/2004.10120 (2020) - [i14]Alisa Liu, Alexander Fang, Gaëtan Hadjeres, Prem Seetharaman, Bryan Pardo:
Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation. CoRR abs/2006.13331 (2020)
2010 – 2019
- 2019
- [c6]Théis Bazin, Gaëtan Hadjeres:
NONOTO: A Model-agnostic Web Interface for Interactive Music Composition by Inpainting. ICCC 2019: 89-91 - [c5]Cyran Aouameur, Philippe Esling, Gaëtan Hadjeres:
Neural Drum Machine : An Interactive System for Real-time Synthesis of Drum Sounds. ICCC 2019: 92-99 - [c4]Ashis Pati, Alexander Lerch, Gaëtan Hadjeres:
Learning to Traverse Latent Spaces for Musical Score Inpainting. ISMIR 2019: 343-351 - [i13]Gaëtan Hadjeres:
Variation Network: Learning High-level Attributes for Controlled Input Manipulation. CoRR abs/1901.03634 (2019) - [i12]Frank Nielsen, Gaëtan Hadjeres:
On power chi expansions of f-divergences. CoRR abs/1903.05818 (2019) - [i11]Ashis Pati, Alexander Lerch, Gaëtan Hadjeres:
Learning to Traverse Latent Spaces for Musical Score Inpainting. CoRR abs/1907.01164 (2019) - [i10]Cyran Aouameur, Philippe Esling, Gaëtan Hadjeres:
Neural Drum Machine : An Interactive System for Real-time Synthesis of Drum Sounds. CoRR abs/1907.02637 (2019) - [i9]Théis Bazin, Gaëtan Hadjeres:
NONOTO: A Model-agnostic Web Interface for Interactive Music Composition by Inpainting. CoRR abs/1907.10380 (2019) - [i8]Frank Nielsen, Gaëtan Hadjeres:
A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof. CoRR abs/1909.08857 (2019) - 2018
- [b1]Gaëtan Hadjeres:
Interactive deep generative models for symbolic music. (Modèles génératifs profonds pour la génération interactive de musique symbolique). Sorbonne University, Paris, France, 2018 - [i7]Frank Nielsen, Gaëtan Hadjeres:
Monte Carlo Information Geometry: The dually flat case. CoRR abs/1803.07225 (2018) - 2017
- [c3]Gaëtan Hadjeres, François Pachet, Frank Nielsen:
DeepBach: a Steerable Model for Bach Chorales Generation. ICML 2017: 1362-1371 - [c2]Gaëtan Hadjeres, Frank Nielsen, François Pachet:
GLSR-VAE: Geodesic latent space regularization for variational autoencoder architectures. SSCI 2017: 1-7 - [i6]Gaëtan Hadjeres, Frank Nielsen, François Pachet:
GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures. CoRR abs/1707.04588 (2017) - [i5]Gaëtan Hadjeres, Frank Nielsen:
Deep rank-based transposition-invariant distances on musical sequences. CoRR abs/1709.00740 (2017) - [i4]Jean-Pierre Briot, Gaëtan Hadjeres, François Pachet:
Deep Learning Techniques for Music Generation - A Survey. CoRR abs/1709.01620 (2017) - [i3]Gaëtan Hadjeres, Frank Nielsen:
Interactive Music Generation with Positional Constraints using Anticipation-RNNs. CoRR abs/1709.06404 (2017) - 2016
- [i2]Gaëtan Hadjeres, Jason Sakellariou, François Pachet:
Style Imitation and Chord Invention in Polyphonic Music with Exponential Families. CoRR abs/1609.05152 (2016) - [i1]Gaëtan Hadjeres, François Pachet:
DeepBach: a Steerable Model for Bach chorales generation. CoRR abs/1612.01010 (2016) - 2015
- [c1]Frank Nielsen, Gaëtan Hadjeres:
Approximating Covering and Minimum Enclosing Balls in Hyperbolic Geometry. GSI 2015: 586-594
Coauthor Index
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