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<rss version="2.0"><channel><description>PhD in AI &amp; Audio/Music @QMUL with @SpotifyResearch&#xA;&#xA;Deep Generative Models / Disentangled Representation Learning / Unsupervised Learning / Controllable Audio Generation &#xA;&#xA;Intern @StabilityAI / Prev. Intern @SonyAI @AIST_JP&#xA;&#xA;https://yjlolo.github.io</description><link>https://bsky.app/profile/jun-luolo.bsky.social</link><title>@jun-luolo.bsky.social - Yin-Jyun (Jun) Luo</title><item><link>https://bsky.app/profile/jun-luolo.bsky.social/post/3ldclkr34e222</link><description>How to train a model to extract separate entities of representation associated to individual sources of a music mixture? &#xA;&#xA;How to also divide each entity into subspaces of pitch and timbre? &#xA;&#xA;How to then have the model take arbitrary combinations of these building blocks to sample novel mixtures?</description><pubDate>15 Dec 2024 00:45 +0000</pubDate><guid isPermaLink="false">at://did:plc:bzsbz2i6bpkrf2fmkdaa3stq/app.bsky.feed.post/3ldclkr34e222</guid></item></channel></rss>