ML researcher @Spotify • previously, recsys & MIR @AppleMusic @UAntwerpen @UUtrecht • also at @jvanbalen@sigmoid.social

BE
Joined September 2012
👉 @jvanbalen@sigmoid.social
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Jan Van Balen retweeted
See you tomorrow 👁‍🗨👁‍🗨
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Jan Van Balen retweeted
We are looking for 2024 fall PhD students! C4DM website: c4dm.eecs.qmul.ac.uk/news/ne… AIM website: aim.qmul.ac.uk/apply/
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Jan Van Balen retweeted
🐣 🎶  Excited to share LLark: A Multimodal Foundation Model for Music! LLark is a 12B parameter model that produces text responses from (text + audio) inputs. 📖 arxiv.org/abs/2310.07160 🔊 bit.ly/llark 💻 github.com/spotify-research/… 🧵
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NL people: there’s a string of shows coming up where Jameszoo and band, plus the amazing Asko|Schönberg ensemble, will perform alongside a generative music system I helped build ✨ VERY excited for this one. More: askoschoenberg.nl/performanc… I’ll be there for Rotterdam and Den Bosch
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I just published a small package I’ve been using to work with real-time MIDI in Python, for a personal project: github.com/jvbalen/midifx I wanted to make it easy to implement custom MIDI effects that support real-time I/O🎹—including controls like knobs and sliders 🎛🎚
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Most of all though, this lets you play with python ML music tools in real-time🕺 E.g., a version of this, hooked up to some Markov chains and three Disklaviers, ran more or less continuously for about a month at an art gallery last winter: xitter.cf/Jameszooo/status/16130…
3 more weeks of ‘Telephone’ at @Nestruimte together with Philip Akkerman. Works with @jvanbalen Paul van Twist, Cas Dekker and Ruimtetijd. Installation 📷 by Charlott Markus nestruimte.nl/en/exhibition/…
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Let me know if this seems useful to you! E.g. over at @jvanbalen@sigmoid.social🙂
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Jan Van Balen retweeted
I'm proud to share that our team's work at @SpotifyResearch on audio-lyric alignment by Simon Durand, Daniel Stoller, and @sebastian_ewert was awarded the best industry paper award at #ICASSP2023 . More details in 🧵
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Jan Van Balen retweeted
3 more weeks of ‘Telephone’ at @Nestruimte together with Philip Akkerman. Works with @jvanbalen Paul van Twist, Cas Dekker and Ruimtetijd. Installation 📷 by Charlott Markus nestruimte.nl/en/exhibition/…
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“More generally, in AI applications, the sophistication of the algorithm is rarely the limiting factor. The quality of the design, the data, and the people that make up the system all tend to matter more.”
TikTok users feel its algorithm is eerily accurate. But from everything we know about the algorithm, it's a pretty standard recommender system of the kind that every major social platform uses. TikTok's real innovation is something else. Just posted: knightcolumbia.org/blog/tikt…
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one design thing that’s very relevant to the algorithm: showing one full-screen video at a time really helps with attributing implicit feedback to individual videos—without that, explore-exploit is a lot more difficult
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New release!👇 Some really useful things in here, that I’ve been using for every TF project for a while now.
As if today wasn't already fun enough - my team just open-sourced a new library! Say hello to realbook, a Python library that makes it easier to train audio-based machine learning models with TensorFlow: github.com/spotify/realbook
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Bitter but true. However there are compelling reasons for KG’s in particular to be folded back into ChatGPT-level models, in some form. (1/n)
A new episode of the “bitter lesson”: almost none of the research from ~2 decades of dialogue publications, conferences and workshops lead to #ChatGPT. Slot filling ❌intent modeling ❌ sentiment detection❌ hybrid symbolic approaches (KGs) ❌
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(KG’s as in Knowledge Graphs)
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Having done some work on large-scale recommender systems, I don’t see this scale to conversations about millions of entities without a more structured representation feeding into or wired into the model, at least not any time soon (4/n)
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That said, exciting times… (5/5)
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