Representation Learning of Compositional Data

The crucial advantage for this type of analysis is that it does not require different entries for dealing with the determiner, the pronominal, and the prosortal case, and that one

Considering a number of self-consistent sound sources (typically, audio files, as in the case of the spatialization matrix in Figure 1), we might be interested in generating

The range of inorganic solids reported and studied as nanoparticles is however strikingly narrow when compared to the solid state chemistry portfolio of bulk

Because we are interested in the simultaneous emer- gence both of discrete and of compositional sig- nals, we use a Function Game called the Extremity Game designed to incentivize

We have co-registered a dataset of low-resolution LEISA hyperspectral images, recorded during the approach phase, with the high-resolution closest-approach data from the New

We have studied these operations as well as several classical compositional reasoning properties, showing that, among others, the CMC specification theory is equipped with a

We have studied these operations as well as several classical com- positional reasoning properties, showing that, among others, the CMC specification theory is equipped with a