ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.00015
  4. Cited By
Exploring how a Generative AI interprets music

Exploring how a Generative AI interprets music

31 July 2023
G. Barenboim
L. Debbio
J. Hirn
V. Sanz
    MGen
ArXiv (abs)PDFHTML

Papers citing "Exploring how a Generative AI interprets music"

7 / 7 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
298
30,149
0
01 Mar 2022
Discovering State Variables Hidden in Experimental Data
Discovering State Variables Hidden in Experimental Data
Boyuan Chen
Kuang Huang
Sunand Raghupathi
I. Chandratreya
Qi Du
Hod Lipson
CML
48
16
0
20 Dec 2021
Understanding the Role of Individual Units in a Deep Neural Network
Understanding the Role of Individual Units in a Deep Neural Network
David Bau
Jun-Yan Zhu
Hendrik Strobelt
Àgata Lapedriza
Bolei Zhou
Antonio Torralba
GAN
69
452
0
10 Sep 2020
Classical Music Prediction and Composition by means of Variational
  Autoencoders
Classical Music Prediction and Composition by means of Variational Autoencoders
Daniel Rivero
Enrique Fernández-Blanco
A. Pazos
DRL
48
6
0
21 Jun 2019
AI Feynman: a Physics-Inspired Method for Symbolic Regression
AI Feynman: a Physics-Inspired Method for Symbolic Regression
S. Udrescu
Max Tegmark
163
881
0
27 May 2019
Discovering physical concepts with neural networks
Discovering physical concepts with neural networks
Raban Iten
Tony Metger
H. Wilming
L. D. Rio
R. Renner
PINNAI4CE
73
391
0
26 Jul 2018
A Hierarchical Latent Vector Model for Learning Long-Term Structure in
  Music
A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
Adam Roberts
Jesse Engel
Colin Raffel
Curtis Hawthorne
Douglas Eck
BDL
73
481
0
13 Mar 2018
1