OxCSML

The OxCSML group @OxfordStats is participating at @NeurIPSConf this week, with 25 papers in the main program, 3 workshop papers and 1 paper in dataset track! Do stop by our posters and presentations! Check out csml.stats.ox.ac.uk/news/2021-10-0… or the following :thread:for further details

Bayes for continual learning: it just works, right? Turns out the details matter for *approx* Bayes in deep nets. Variational inference over predictive functions works pretty well! #ICML2022 paper with @timrudner @qixuan_feng @yeewhye @yaringal proceedings.mlr.press/v162/rudner22a… 1/6

In our #ICML paper, we show that *Sequential Function-Space Variational Inference* allows for effective Bayesian updating in NNs and enables state-of-the-art continual learning!🚀 ✍️Paper: timrudner.com/sfsvi 💻Code+Notebooks: timrudner.com/sfsvi-code Details in 🧵! [1/N]

Congratulations @desirivanova . Well done!

Applications due this Friday. Please retweet everyone, and please apply if you are a UK undergrad from under-represented backgrounds interested in what research in artificial intelligence and machine learning is like! 🙏

If you're an undergraduate looking for a summer research project in AI or ML - check this out! Up to £4,200 stipend for 10-week project, free accommodation, great projects. Apply by 18 Feb. stats.ox.ac.uk/archive-news/u…

Oxford's Uniq+ graduate access program has an AI/ML strand! UK undergrads from under-represented backgrounds interested in AI/ML pls apply. Scholarship, free lodging, 6 or 10 weeks summer research project w/ faculty @CompSciOxford @OxfordStats @OxfordEng. stats.ox.ac.uk/archive-news/u…

Excited to share our paper in @Nature today! We find that two large surveys significantly overestimated COVID vaccine uptake among US adults relative to a benchmark from the CDC. Work with @shirokuriwaki @MichaelIsakov3 @sejDino @XiaoLiMeng1 @flaxter rdcu.be/cCQ4E 🧵1/

Paper info: This preliminary work presents the first large-scale study of implicit neural representations with uncertainty quantification. Well-calibrated, accurate image reconstruction algorithms can improve doctor diagnoses and reduce patient radiation exposure.

Uncertainty Quantification in End-to-End Implicit Neural Representations for Medical Imaging Francisca Vasconcelos, @bobby_he, @yeewhye Oral at MedNeurIPS: neurips.cc/virtual/2021/w… Poster at Bayesian Deep Learning Workshop: neurips.cc/virtual/2021/w… Paper: cse.cuhk.edu.hk/~qdou/public/m…

The OxCSML group @OxfordStats is participating at @NeurIPSConf this week, with 25 papers in the main program, 3 workshop papers and 1 paper in dataset track! Do stop by our posters and presentations! Check out csml.stats.ox.ac.uk/news/2021-10-0… or the following :thread:for further details