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Generative Distribution Embeddings

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Manage episode 485070185 series 3524393
Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

The paper introduces generative distribution embeddings (GDE), a framework for learning representations of distributions, demonstrating superior performance in various computational biology applications.

https://arxiv.org/abs//2505.18150

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

  continue reading

2405 episodes

Artwork
iconShare
 
Manage episode 485070185 series 3524393
Content provided by Igor Melnyk. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Igor Melnyk or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

The paper introduces generative distribution embeddings (GDE), a framework for learning representations of distributions, demonstrating superior performance in various computational biology applications.

https://arxiv.org/abs//2505.18150

YouTube: https://www.youtube.com/@ArxivPapers

TikTok: https://www.tiktok.com/@arxiv_papers

Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016

Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

  continue reading

2405 episodes

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