Super excited about the progress of this work! — which is now one of our two papers accepted at #NeurIPS2023 🌝 I am really looking forward to be in New Orleans, sharing ideas and discussions on this beautiful link between masked pre-training and marginal likelihood 📈

We're hiring a Postdoc and two Ph.D. students to work together on privacy problems in ML at DTU. (and yes, I moved again, lol) efzu.fa.em2.oraclecloud.com/hcmUI/Candidat… efzu.fa.em2.oraclecloud.com/hcmUI/Candidat…

Not my first NeurIPS, but actually this #NeurIPS2023 conference is getting to a new order of magnitude 👀👀👀

We’ll be presenting our work in poster session 5 (#1214, Thursday 10:45) @ #NeurIPS2023 — Come to chat with us if you want to know more about the role of masking in SSL and its connection with Bayesian principles! ⚖️🔮

So a H100 uses as much power as a German. nvidia.com/en-us/data-cen… en.wikipedia.org/wiki/List_of_c…

Ever thought about using matrix-exp's or log-det's in large-scale ML (think PDEs/GGN matrices with >1M rows)? I have, and maybe you have, too—but gradients? That's where it gets tricky. Not anymore! We have a #NeurIPS2024 spotlight: "Gradients of Functions of Large Matrices."🧵

This is so cool! I am a bit jealous of PhD candidates nowadays 🌝 — and I would really enjoy to be part of such program if I was a student today. It is really a huge opportunity for EU and international applicants. What a pity that we did not have such opportunities in 2016 👀

Reading this Bertrand Russell’s 📖 jewel these last days. Published in 1938, it’s shocking to explore his thoughts on propaganda and technical advances. How that inflated the power of some. He didn’t know yet what was coming, he refers to them as politicians, not yet criminals.

Some news here! I’m excited to share that I’ve started a new position as Research Fellow @ Universitat Pompeu Fabra (UPF) in Barcelona 🌞 For the next 3 years, I will be doing research in Machine Learning fully funded by Fundación ”la Caixa” via one JL Fellowship Grant.