Evaluating on target out-of-distribution samples

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Evaluating on target out-of-distribution samples

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Dimensions: 800 × 800
Size: 46.16 KB
Type: .png file
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Use vision capabilities to understand images

fileimage→JSON

1y

15 uses

Create variations of an existing image

fileimage→file

1y

2 uses

Generate 3D assets from a single 2D input image

fileimage→file

1y

1 use

Generate a short video from an image

fileimage→file

1y

1 use

Image-to-image generation for controlled variations of existing images or sketches

fileimage→file

1y

1 use

Convert an image to a different format

fileimage→file

6mo

Compress an image

fileimage→file

6mo

You've seen it all

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Overview

Stats

Dimensions: 800 × 800
Size: 46.16 KB
Type: .png file
Downloads: 0

Attribution

Use vision capabilities to understand images

fileimage→JSON

1y

15 uses

Create variations of an existing image

fileimage→file

1y

2 uses

Generate 3D assets from a single 2D input image

fileimage→file

1y

1 use

Generate a short video from an image

fileimage→file

1y

1 use

Image-to-image generation for controlled variations of existing images or sketches

fileimage→file

1y

1 use

Convert an image to a different format

fileimage→file

6mo

Compress an image

fileimage→file

6mo

You've seen it all

Join to comment

Cutting the dataset to samples with Tc below 80 K, we find that the model is unable to make any predictions greater than 80 K. Not very surprising, but a critical failure for what we need this model to do.

ARR license

Cutting the dataset to samples with Tc below 80 K, we find that the model is unable to make any predictions greater than 80 K. Not very surprising, but a critical failure for what we need this model to do.

ARR license

Connections

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Referenced by

Orb latent space to Tc prediction
After reading the MatterSim paper, the authors proposed the idea of using the MLFF's latent space as a direct property prediction feature set. Earlier, @will and I had been thinking about using a VAE

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Connections

1

Referenced by

Orb latent space to Tc prediction
After reading the MatterSim paper, the authors proposed the idea of using the MLFF's latent space as a direct property prediction feature set. Earlier, @will and I had been thinking about using a VAE

ActionsTools that work with this file