Skip to content

Diffusion approach #6

@moritzschaefer

Description

@moritzschaefer
  • Generation works

Next steps:

  • train on (217, 20) (see below. need to adjust the data preprocessing to return bigger chunks (32->224, 256->1792)
  • condition on a meaningful embedding (for now: fourier)
  • make an example submission (just predict the first 208 datapoints and repeat-pad the rest)
  • if it works well score-wise, predict the second half independently and interpolate

Completed 46/72. Loaded data: (1730, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 47/72. Loaded data: (1730, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 48/72. Loaded data: (1732, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 49/72. Loaded data: (1731, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 50/72. Loaded data: (1735, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 51/72. Loaded data: (1730, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 52/72. Loaded data: (1729, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 53/72. Loaded data: (1730, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 54/72. Loaded data: (1730, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 55/72. Loaded data: (1729, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 56/72. Loaded data: (1734, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 57/72. Loaded data: (1733, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 58/72. Loaded data: (1729, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 59/72. Loaded data: (1731, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 60/72. Loaded data: (1731, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 61/72. Loaded data: (1732, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 62/72. Loaded data: (1736, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 63/72. Loaded data: (1731, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 64/72. Loaded data: (1732, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 65/72. Loaded data: (1733, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 66/72. Loaded data: (1734, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 67/72. Loaded data: (1729, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 68/72. Loaded data: (1727, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (216, 20)
Completed 69/72. Loaded data: (1736, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 70/72. Loaded data: (1729, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 71/72. Loaded data: (1735, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)
Completed 72/72. Loaded data: (1735, 8) - padded to: (1792, 8) - predictions (224, 20) - downsampled to: (217, 20)

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions