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Researcher with public evidence across AI research, Models & releases.
The Creative AI track (formerly Machine Learning for Creativity and Design) at @neuripsconf.bsky.social has always been a home for interdisciplinarity. As its co-chair, I invite research and artworks exploring and critiquing of ML in art, design, and creative practice. neurips…
New blog post: continuous diffusion for language is back! This research direction receded into the background for a while, but as of this year, it is once again a hot topic. I wrote down a historical perspective and some thoughts on the recent revival. https://t.co/gfDZgJblTu
Recently, I had a great chat with my friend and former colleague @GarneloMarta, CSO at Fundamental (@LTMpredict). We talked about diffusion models (duh 🤭), music generation, typicality, blogging, @kaggle and more (also restricted Boltzmann machines 🫣) https://t.co/WFRrWI0Yhw h…
The Million Song Dataset challenge! https://t.co/63F45lCFsM I did a deep dive into collaborative filtering for this, and ended up using weighted matrix factorisation, finishing 21st. A much simpler and intuitive method took 1st place. A valuable lesson in my early PhD years🤓 h…
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