
The Piano Inpainting Application
Autoregressive models are now capable of generating highquality minute...
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CRASH: Raw Audio Scorebased Generative Modeling for Controllable Highresolution Drum Sound Synthesis
In this paper, we propose a novel scorebase generative model for uncond...
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Spectrogram Inpainting for Interactive Generation of Instrument Sounds
Modern approaches to sound synthesis using deep neural networks are hard...
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Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation
Deep learning has rapidly become the stateoftheart approach for music...
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Vector Quantized Contrastive Predictive Coding for Templatebased Music Generation
In this work, we propose a flexible method for generating variations of ...
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SchoenbergRao distances: Entropybased and geometryaware statistical Hilbert distances
Distances between probability distributions that take into account the g...
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A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof
We first introduce the class of quasiconvex and quasiconcave Jensen dive...
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NONOTO: A Modelagnostic Web Interface for Interactive Music Composition by Inpainting
Inpaintingbased generative modeling allows for stimulating humanmachin...
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Neural Drum Machine : An Interactive System for Realtime Synthesis of Drum Sounds
In this work, we introduce a system for realtime generation of drum sou...
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Learning to Traverse Latent Spaces for Musical Score Inpainting
Music Inpainting is the task of filling in missing or lost information i...
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On power chi expansions of fdivergences
We consider both finite and infinite power chi expansions of fdivergenc...
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Variation Network: Learning Highlevel Attributes for Controlled Input Manipulation
This paper presents the Variation Network (VarNet), a generative model p...
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Monte Carlo Information Geometry: The dually flat case
Exponential families and mixture families are parametric probability mod...
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Interactive Music Generation with Positional Constraints using AnticipationRNNs
Recurrent Neural Networks (RNNS) are now widely used on sequence generat...
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Deep Learning Techniques for Music Generation  A Survey
This book is a survey and an analysis of different ways of using deep le...
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Deep rankbased transpositioninvariant distances on musical sequences
Distances on symbolic musical sequences are needed for a variety of appl...
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GLSRVAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures
VAEs (Variational AutoEncoders) have proved to be powerful in the contex...
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DeepBach: a Steerable Model for Bach Chorales Generation
This paper introduces DeepBach, a graphical model aimed at modeling poly...
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Style Imitation and Chord Invention in Polyphonic Music with Exponential Families
Modeling polyphonic music is a particularly challenging task because of ...
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Gaëtan Hadjeres
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