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Assisted music creation with flow machines: towards new categories of new
This chapter reflects on about 10 years of research in AI-assisted music composition, in
particular during the Flow Machines project. We reflect on the motivations for such a project …
particular during the Flow Machines project. We reflect on the motivations for such a project …
Generalized confidence constraints
In robust optimization, finding a solution that solely respects the constraints is not enough.
Usually, the uncertainty and unknown parameters of the model are represented by random …
Usually, the uncertainty and unknown parameters of the model are represented by random …
Extending the Capacity of 1 / f Noise Generation
From the emissions of massive quasars scattered across the universe, to the fluctuations in
the stock market and the melodies of music, several real world signals have a power …
the stock market and the melodies of music, several real world signals have a power …
Distribution Optimization in Constraint Programming
Abstract Stochastic Constraint Programming introduces stochastic variables following a
probability distribution to model uncertainty. In the classical setting, probability distributions …
probability distribution to model uncertainty. In the classical setting, probability distributions …
[PDF][PDF] Sampling markov models under binary equality constraints is hard
Many content generation applications in sequential domains such as music or text are
based on sampling from statistical models. In practice, users need solutions that satisfy …
based on sampling from statistical models. In practice, users need solutions that satisfy …
Sampling Markov models under constraints: Complexity results for binary equalities and grammar membership
We aim at enforcing hard constraints to impose a global structure on sequences generated
from Markov models. In this report, we study the complexity of sampling Markov sequences …
from Markov models. In this report, we study the complexity of sampling Markov sequences …
Declarative statistics
In this work we introduce declarative statistics, a suite of declarative modelling tools for
statistical analysis. Statistical constraints represent the key building block of declarative …
statistical analysis. Statistical constraints represent the key building block of declarative …
[PDF][PDF] Comments on “Assisted lead sheet composition using FlowComposer”
F Pachet, A Papadopoulos, P Roy - francoispachet.fr
We comment on the motivation of this paper, presented in the Application track at CP 2016.
We argue that solving real world, ambitious problems is an effective way to identify new …
We argue that solving real world, ambitious problems is an effective way to identify new …
The BIN_COUNTS Constraint: Filtering and Applications
We introduce the BIN_COUNTS constraint, which deals with the problem of counting the
number of decision variables in a set which are assigned values that lie in given bins. We …
number of decision variables in a set which are assigned values that lie in given bins. We …