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Chris Donahue

@chrisdonahue.com

122 followers 120 following 9 posts

Research in generative AI for **human** creativity in music + more. Assistant professor at CMU CSD, leading the 🎼 G-CLef lab. Part time research scientist at Google DeepMind on the Magenta team (views my own)

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Chris Donahue @chrisdonahue.com · 27/05/2025

✅ End to end generation of expressive performance *audio* from score *images*! An important step towards seamless interaction with computer music systems and a fun collaboration between Dasaem’s group at Sogang University and my group at CMU

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Chris Donahue @chrisdonahue.com · 28/04/2025

At #CHI2025 in Yokohama this week 🌸. My first CHI, excited to finally get to attend! Happy to chat with anyone about human AI interaction for music or programming

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Chris Donahue @chrisdonahue.com · 15/04/2025

Remarkably thorough and crisp as usual. Probably the single best resource for understanding the latents behind generative modeling that power modern gen AI Sander shh 🤫 you’re giving away all of the good research ideas!!

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Chris Donahue @chrisdonahue.com · 28/03/2025

I have acquired a Disklavier and Piano Genie has been resurrected :) @pcastr.bsky.social Disklavier jam session over the internet soon?

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Chris Donahue @chrisdonahue.com · 28/03/2025

Thrilled to share that my *incoming* PhD student Yewon Kim’s work on multimodal inspiration in music AI has been recognized with a Best Paper Award at #CHI2025 🎉 Yewon really knocked it out of the park here. Can't wait to see what she does for her PhD! arxiv.org/abs/2412.18940

arxiv.org

Amuse: Human-AI Collaborative Songwriting with Multimodal Inspirations

Songwriting is often driven by multimodal inspirations, such as imagery, narratives, or existing music, yet songwriters remain unsupported by current music AI systems in incorporating these multimodal...

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Chris Donahue @chrisdonahue.com · 05/03/2025

Inaugurating new acct to share work from my PhD student! Wayne et al have been running a live eval platform Copilot Arena - a VSCode extension serving code completions from AI systems to real developers. See 🧵 for findings and preprint Excited to be evaluating human-AI *workflows* holistically!

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