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<rss version="2.0"><channel><description>Intern @Google, Ph.D. Student @Cornell_CS. &#xA;Interested in machine learning, LLM, brain, and healthcare.&#xA;&#xA;abehrouz.github.io</description><link>https://bsky.app/profile/alibehrouz.bsky.social</link><title>@alibehrouz.bsky.social - Ali Behrouz</title><item><link>https://bsky.app/profile/alibehrouz.bsky.social/post/3lcljuajsnk2b</link><description>I&#39;ll be at #NeurIPS2024 next week, and would be happy to chat about deep learning architectures, sequence modeling, reasoning, neuroscience, world models, graphs, and almost anything :)&#xA;&#xA;I also will be presenting Chimera (a 2D SSM) on Wednesday (4:30 PM).</description><pubDate>05 Dec 2024 20:43 +0000</pubDate><guid isPermaLink="false">at://did:plc:ukaal4e34zh36gtkhy7yebab/app.bsky.feed.post/3lcljuajsnk2b</guid></item><item><link>https://bsky.app/profile/alibehrouz.bsky.social/post/3lcgn23hruc2g</link><description>🌟 Best of Both Worlds!&#xA;&#xA;❓Have you ever wondered why hybrid models (RNN + Transformers) are powerful? We answer this through the lens of circuit complexity and graphs!&#xA;&#xA;Excited to share our work on understanding Graph Sequence Models (GSM), which allows the use of any sequence model for graphs.</description><pubDate>03 Dec 2024 21:57 +0000</pubDate><guid isPermaLink="false">at://did:plc:ukaal4e34zh36gtkhy7yebab/app.bsky.feed.post/3lcgn23hruc2g</guid></item><item><link>https://bsky.app/profile/alibehrouz.bsky.social/post/3lbdt5ietbs2h</link><description>Are univariate SSMs effective when there are 2D dependencies?&#xA;&#xA;✨In our #NeurIPS paper we show how to effectively model multivariate time series by input-dependent (selective) 2-dimensional state space models with fast training using a 2D parallel scan.  (1/8)</description><pubDate>20 Nov 2024 01:43 +0000</pubDate><guid isPermaLink="false">at://did:plc:ukaal4e34zh36gtkhy7yebab/app.bsky.feed.post/3lbdt5ietbs2h</guid></item></channel></rss>