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 https://t.co/R3tJ8o8yTk 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
https://t.co/r5qYKFDJKE
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: https://t.co/ZxuZjlEc3D
💻Code+Notebooks: https://t.co/2KOR0nk65Y
Details in 🧵! [1/N]
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. https://t.co/2fi1n6wcZ1
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.
https://t.co/UehniSBrSt
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 https://t.co/dvyo4J1AaP 🧵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.
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 https://t.co/R3tJ8o8yTk or the following :thread:for further details
Uncertainty Quantification in End-to-End Implicit Neural Representations for Medical Imaging
Francisca Vasconcelos, @bobby_he, @yeewhye
Oral at MedNeurIPS: https://t.co/CtrwHNhDY8
Poster at Bayesian Deep Learning Workshop: https://t.co/LzzYTD1vBT
Paper: https://t.co/0AzwAn6HnR