Row 8732

Row ID: 8732 | Dataset Entry | Axioma AXP Content Repository

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Hi,

The ScorePerformer paper (see: https://www.researchgate.net/publication/377272701\_ScorePerformer\_Expressive\_Piano\_Performance\_Rendering\_With\_Fine-Grained\_Control) mentions that the output of the score content embedding Cs contains L rows, while all other sequences contain N amount of rows (with N probably meaning the number of notes). I don't see why this would be L and they also didn't provide what that means.

Also they mention the MMD loss, where it's not clear what dimension these z and z' symbols gave. I thought matrices were written capitalized (so should style embedding Z then be), but what are these z symbols (vectors, matrices, ...)? Also what is the || between p and q and what type of norm is used in the Gaussian Kernel?

https://preview.redd.it/ewn15u5m8g1d1.png?width=743&format=png&auto=webp&s=4a1715a551ec177d782f66995baa68130aa7675e

Thanks in advance

FieldValue
text Hi, The ScorePerformer paper (see: https://www.researchgate.net/publication/377272701\_ScorePerformer\_Expressive\_Piano\_Performance\_Rendering\_With\_Fine-Grained\_Control) mentions that the output of the score content embedding Cs contains L rows, while all other sequences contain N amount of rows (with N probably meaning the number of notes). I don't see why this would be L and they also didn't provide what that means. Also they mention the MMD loss, where it's not clear what dimension…
label r/deeplearning
dataType post
communityName r/deeplearning
datetime 2024-05-19
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url_encoded Z0FBQUFBQm5Lak9IU0liY3l3dlFJMmJHNUptc25ETW92RUNYRndFb0lCcmlCbE1PeEtDUGx3YlZYRlBPejBUS0psaGtzeHBWNnVpZWhuV01aVWV5NHlQWGhYUHFyT24wZEtqcGFRdG91UHJJVEdCT2E3QWswclpjc2JFZ3ZHLUYtSm5lTGVYeFd0NmtsclV1WEl5NV9vb3k5YzZJQ3VkWmtxYmNpSC13MGszeVZFd1VZdTlEQ1ppN2RVaEF2TkxjNUpyelBzLVVBb0NybFowYlhnVEU3TDM3dFg2bzkycEFhZz09

Raw Record

{
  "text": "Hi,\n\nThe ScorePerformer paper (see: https://www.researchgate.net/publication/377272701\\_ScorePerformer\\_Expressive\\_Piano\\_Performance\\_Rendering\\_With\\_Fine-Grained\\_Control)  mentions that the output of the score content embedding Cs contains L rows, while all other sequences contain N amount of rows (with N probably meaning the number of notes). I don't see why this would be L and they also didn't provide what that means.\n\n  \nAlso they mention the MMD loss, where it's not clear what dimension these z and z' symbols gave. I thought matrices were written capitalized (so should style embedding Z then be), but what are these z symbols (vectors, matrices, ...)? Also what is the || between p and q and what type of norm is used in the Gaussian Kernel?\n\nhttps://preview.redd.it/ewn15u5m8g1d1.png?width=743&format=png&auto=webp&s=4a1715a551ec177d782f66995baa68130aa7675e\n\n  \nThanks in advance",
  "label": "r/deeplearning",
  "dataType": "post",
  "communityName": "r/deeplearning",
  "datetime": "2024-05-19",
  "username_encoded": "Z0FBQUFBQm5Lakw0UkFUVW10ZFo2RDVJOUtHQ25TeGowWmZLOUtnWFY4MUgta3Vic3BERVJ5aldtRlpmZE9KOGpKd18xak1pVXdMaGJlbEo4OG9scVhybkZHLUhzSldBV2c9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9IU0liY3l3dlFJMmJHNUptc25ETW92RUNYRndFb0lCcmlCbE1PeEtDUGx3YlZYRlBPejBUS0psaGtzeHBWNnVpZWhuV01aVWV5NHlQWGhYUHFyT24wZEtqcGFRdG91UHJJVEdCT2E3QWswclpjc2JFZ3ZHLUYtSm5lTGVYeFd0NmtsclV1WEl5NV9vb3k5YzZJQ3VkWmtxYmNpSC13MGszeVZFd1VZdTlEQ1ppN2RVaEF2TkxjNUpyelBzLVVBb0NybFowYlhnVEU3TDM3dFg2bzkycEFhZz09"
}
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