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Congrats! It's amazing to see how Random (Fourier) Features continue to fuel progress even in this era of Transformers

Lol. I also have to thank T-Rex for my first job. Learned to play the game (from raw pixels in a screen capture) using deep Q-learning: github.com/vdutor/TF-rex

Our #ICML2023 paper introduces Neural Diffusion Processes - generalising diffusion processes to function spaces. Great to work with Vincent Dutordoir Alan Saul and Zoubin Ghahramani Paper: arxiv.org/abs/2206.03992 Code: github.com/vdutor/neural-…

Als u vandaag één artikel leest, laat het dan dit zijn. "Alex was 41. In de kranten staat dat hij een heroïneverslaafde was. Dat zal zeker zijn, maar hij was ook een oorlogsslachtoffer, een mens en bovenal mijn vriend." standaard.be/cnt/dmf2023092…

Happy to announce the 3rd NeurIPS @ Cambridge event on Friday, Dec 8th! Join us for an in-person gathering to discuss the latest in machine learning research. Find all details and register at neuripsmeetupcambridge.info. #NeurIPS2023 #MachineLearning #Cambridge

A highlight of the #NeurIPS2023 meetup in Cambridge for me was Carl Rasmussen's keynote on "Halting Climate Change". Spoiler: it has nothing to do with AI. Worth a watch: youtube.com/watch?v=naFaQs…

I’m really excited to be attending NeurIPS and presenting our work on efficient fine-tuning of pre-trained diffusion models for SOTA conditional generation. Come chat with us on 12th Dec (Thursday) at 11am! Thread below (🧵) -

An opportunity to join our team. Feel free to reach out if you have any questions.