Monte Carlo is great:its error is independent of the dimension of the integrand. Or is it ?? I wrote a little blogpost : branchini.fun/posts/monte_ca… Share and comment(no login needed)if you liked it. Or better, if everything I am saying is wrong and I should revise my belief🤓

The post holder will work with antonio vergari ⚔️ not at #ICML2025, Edoardo Ponti, and yours truly and become part of the thriving work environment of the Edinburgh Laboratory for Integrated Artificial Intelligence (ELIAI, web.inf.ed.ac.uk/eliai) at @InfAtEd, jointly with ANC@Edinburgh and EdinburghNLP!

These are the #outreach activities that can truly impact people's lives! It was great to help! Thanks to @InfAtEd for providing students the space and access to computers to the school pupils. And to the amazing #PhD volunteers who helped with the #coding sessions!

We have now opened applications for the Edinburgh Centre for Robotics PhD programme! If you are interested in PhDs starting Sept 2023 exploring questions related to computer vision and machine learning, feel free to contact me. edinburgh-robotics.org/apply

#Wearable super-resolution muscle–machine interfacing Serves all researchers who seek to know more about current technologies for myography, their strengths & shortcomings, and how emerging myography technologies can offer higher spatiotemporal resolution Frontiers - Neuroscience

#Neural nets struggle to #guarantee their predictions conform to our prior knowledge! We devise a drop-in replacement layer that injects given #symbolic #constraints while retaining #exact and #efficient gradient optimization in our #NeurIPS paper: openreview.net/forum?id=o-mxI… 1/🧵

Omiros Omiros Pantazis will be presenting his work on self-supervised visual adaptation at #BMVC2022 today!

I'll be at #NeurIPS2022 if anyone wants to chat re distribution shift, OOD generalization, robustness, (causal) representation learning, or similar! ⚡ I'm also on the job market for research scientist / post-doc / intern positions early next year 🤠

Octave will be presenting his work on category-level unsupervised pose estimation this afternoon. The full paper is available here: groups.inf.ed.ac.uk/vico/assets/pd…

We have a Lecturer/Reader (Asst/Assoc Prof US) position in #ML at School of Informatics, The University of Edinburgh! Join us in #Edinburgh to do world leading research in #ML as well as foundational #AI and #NLP. 👉edin.ac/3XjVfmK 🗓️ End 10 Jan 23 💬 Chris Williams, Amos Storkey and antonio vergari ⚔️ not at #ICML2025 Pls Share!

We have an open faculty position in machine learning at the School of Informatics here in Edinburgh.

We are looking for a Lecturer/Reader (Asst/Assoc Prof US) who does ground-breaking research in #Machine #Learning #ML #Edinburgh is a fertile environment to grow and lead your research team. Join us!

Had a lovely time presenting our work at #NeurIPS2022 Workshop on Learning from Time Series for Health with Filippo Corponi!

Today our Diego Oyarzún discussed at the #ANC #Seminar "Opportunities and challenges for #deep #learning in #Biotechnology" and previewed the upcoming The Alan Turing Institute Workshop on #AI #Engineering #Biology and Beyond, to be held at @InfAtEd in March 2023!

UAI 2025 is likely the best conference for #probabilistic #modeling #learning and #reasoning. Consider submitting! 📆Deadline: 17 Feb AOE

Save the date! And keep an eye on this great initiative by The Alan Turing Institute @InfAtEd Diego Oyarzún!

🎉New paper in Nature Communications Deep learning is great, but biological data costs $$$ nature.com/articles/s4146… Turns out we don't need millions of data to build decent protein expression models Work by Evangelos Nikolados with Oisin Mac Aodha Guillaume Cambray #DeepLearning #synbio

Reminder about the open machine learning faculty position in the School of Informatics at the University of Edinburgh. Closing date for completed applications is Jan 10th.

Two more days to apply to work with us on world-leading research in #ML and #AI in #Edinburgh at School of Informatics, The University of Edinburgh College of Science and Engineering, Edinburgh Uni The University of Edinburgh