Fetching the paper…
Reading the bibliography…
Modeling polyphonic music is a particularly challenging task because of the intricate interplay between melody and harmony.
Hiller, L., Issacson, L.: Experimental music : composition with an electronic computer. McGraw-Hill (1959)
1959
Earlier work this paper cites.
Bach, J.: 389 Chorales (Choral-Gesange): SATB (German Language Edition). Kalmus Classic Edition, Alfred Publishing Company (1985), https://books.google.fr/books?id=U1-cAAAACAAJ
1985
Earlier work this paper cites.
Arnold, B.C., Strauss, D.: Pseudolikelihood estimation: some examples. Sankhyā: The Indian Journal of Statistics, Series B pp. 233–243 (1991)
1991
Earlier work this paper cites.
Hild, H., Feulner, J., Menzel, W.: Harmonet: A neural net for harmonizing chorales in the style of js bach. In: Advances in neural information processing systems. pp. 267–274 (1992)
1992
Earlier work this paper cites.
Chib, S., Greenberg, E.: Understanding the metropolis-hastings algorithm. The American Statistician 49(4), 327–335 (1995)
1995
Earlier work this paper cites.
Friedman, J., Hastie, T., Tibshirani, R.: The elements of statistical learning, vol. 1. Springer series in statistics Springer, Berlin (2001)
2001
Earlier work this paper cites.
Allan, M., Williams, C.K.: Harmonising chorales by probabilistic inference. Advances in neural information processing systems 17, 25–32 (2005)
2005
Earlier work this paper cites.
Hyvärinen, A.: Estimation of non-normalized statistical models by score matching. In: Journal of Machine Learning Research. pp. 695–709 (2005)
2005
Earlier work this paper cites.
Pickens, J., Iliopoulos, C.S.: Markov random fields and maximum entropy modeling for music information retrieval. In: ISMIR. pp. 207–214. Citeseer (2005)
2005
Earlier work this paper cites.
2007
Cited alongside, same era.
Bach, F.R.: Structured sparsity-inducing norms through submodular functions. In: Lafferty, J., Williams, C., Shawe-Taylor, J., Zemel, R., Culotta, A. (eds.) Advances in Neural Information Processing Systems 23, pp. 118–126. Curran Associates, Inc. (2010), http://papers.nips.cc/paper/3933-structured-sparsity-inducing-norms-through-submodular-functions.pdf
2010
Cited alongside, same era.
2010
Cited alongside, same era.
Ravikumar, P., Wainwright, M.J., Lafferty, J.D., et al.: High-dimensional ising model selection using l1-regularized logistic regression. The Annals of Statistics 38(3), 1287–1319 (2010)
2010
2014
Later among the works it cites.
Kaliakatsos-Papakostas, M., Cambouropoulos, E.: Probabilistic harmonization with fixed intermediate chord constraints (2014)
2014
Later among the works it cites.
Manning, C.D., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S.J., McClosky, D.: The stanford corenlp natural language processing toolkit. ACL 2014 p. 55 (2014)
2014
Later among the works it cites.
Pachet, F., Roy, P.: Non-conformant harmonization: the real book in the style of take 6. In: 5th International Conference on Computational Creativity (ICCC 2014). pp. 100–107. Ljubljiana (Slovenia) (June 2014)
2014
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Boulanger-lewandowski, N., Bengio, Y., Vincent, P.: Modeling temporal dependencies in high-dimensional sequences: Application to polyphonic music generation and transcription. In: Proceedings of the 29th International Conference on Machine Learning (ICML-12). pp. 1159–1166 (2012)
2012
Cited alongside, same era.
Ekeberg, M., Lövkvist, C., Lan, Y., Weigt, M., Aurell, E.: Improved contact prediction in proteins: using pseudolikelihoods to infer potts models. Physical Review E 87(1), 012707 (2013)
2013
Cited alongside, same era.
Fernández, J.D., Vico, F.: Ai methods in algorithmic composition: A comprehensive survey. Journal of Artificial Intelligence Research pp. 513–582 (2013)
2013
Cited alongside, same era.
Cambouropoulos, E., Kaliakatsos-Papakostas, M., Tsougras, C.: An idiom-independent representation of chords for computational music analysis and generation. Ann Arbor, MI: Michigan Publishing, University of Michigan Library (2014)
2014
Cited alongside, same era.
Rameau, J.P.: Traité de l’harmonie réduite à ses principes naturels. Imp. de J.-B.-C. Ballard (1722)
Cited in the paper.
Eppe, M., Confalonieri, R., Maclean, E., Kaliakatsos, M., Cambouropoulos, E., Schorlemmer, M., Codescu, M., Kühnberger, K.U.: Computational invention of cadences and chord progressions by conceptual chord-blending. In: International Joint Conference on Artificial Intelligence (IJCAI) (2015)
2015
Later among the works it cites.
Lyu, Q., Wu, Z., Zhu, J., Meng, H.: Modelling high-dimensional sequences with lstm-rtrbm: application to polyphonic music generation. In: Proceedings of the 24th International Conference on Artificial Intelligence. pp. 4138–4139. AAAI Press (2015)
2015
Later among the works it cites.
Sakellariou, J., Tria, F., Loreto, V., Pachet, F.: Maximum entropy model for melodic patterns. In: ICML Workshop on Constructive Machine Learning. Paris (France) (July 2015)
2015
Later among the works it cites.
Pachet, F.: A joyful ode to automatic orchestration. ACM Transactions on Intelligent Systems and Technology, Special Issue on Intelligent Music Systems and Applications (2016), (invited contribution; to appear)
2016
Closest in time.