Row 7025

Row ID: 7025 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 7025 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Sharing a video from my YT channel that breaks down the new KAN paper. It goes into all the core concepts required to understand the paper - the Kolmogorov Arnold Representation Theorem, Splines, MLPs, comparisons between MLPs and KANs, challenges ahead, and highlights some of the amazing properties/results of KANs like continual learning, sparsification, symbolic regression etc.

Link here: [https://youtu.be/7zpz\_AlFW2w](https://youtu.be/7zpz_AlFW2w)

FieldValue
text Sharing a video from my YT channel that breaks down the new KAN paper. It goes into all the core concepts required to understand the paper - the Kolmogorov Arnold Representation Theorem, Splines, MLPs, comparisons between MLPs and KANs, challenges ahead, and highlights some of the amazing properties/results of KANs like continual learning, sparsification, symbolic regression etc. Link here: [https://youtu.be/7zpz\_AlFW2w](https://youtu.be/7zpz_AlFW2w)
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-14
username_encoded Z0FBQUFBQm5Lakwzc3hMbGE5M1RRb0E3SHRUV2tBNnhXZl9DVEZfWWVzSFVjRDRjUUpJNWsyMVRTOHN3UWJqQXRTTjlXZ2Z2WWhOVEtUM3VJU3RzVHJYWU9lNDhtUEpveVE9PQ==
url_encoded Z0FBQUFBQm5Lak9HNTYxUHRBY01sVEpsOWFZQ2hacHRWSDd2bWNReGtaMEZEeXVZYnZ1bXZGUHlzemQ3T2NGbnRIWjg3NnRxTnVPSE53eURuYkNsZENMQVB5R1BaT2xiTURUOHdxQ1U0eFVjOXZfSkJwT0hYdVNLcTRNN0lyQndJWFlMYTZzdFhjUmtrRVpYM0lNcllIZVRJeG16NHB5NWtGVG1YTmRxUVcxWXZENlRIVFpGVHUxOEY3SEQ0UU1lUUg0TkRPM0h1WnMwX25ZYTRNS25VUVhtcnA3NzFSMHBEZz09

Raw Record

{
  "text": "Sharing a video from my YT channel that breaks down the new KAN paper. It goes into all the core concepts required to understand the paper - the Kolmogorov Arnold Representation Theorem, Splines, MLPs, comparisons between MLPs and KANs, challenges ahead, and highlights some of the amazing properties/results of KANs like continual learning, sparsification, symbolic regression etc.\n\nLink here: [https://youtu.be/7zpz\\_AlFW2w](https://youtu.be/7zpz_AlFW2w)",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-14",
  "username_encoded": "Z0FBQUFBQm5Lakwzc3hMbGE5M1RRb0E3SHRUV2tBNnhXZl9DVEZfWWVzSFVjRDRjUUpJNWsyMVRTOHN3UWJqQXRTTjlXZ2Z2WWhOVEtUM3VJU3RzVHJYWU9lNDhtUEpveVE9PQ==",
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}

Entry Information