Adam Everson
@adam_g_everson
Interested in Variational Bayes, Monte Carlo Methods, and Level-set Methods
ID: 1247478635994517505
07-04-2020 10:57:45
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Another workshop will be on #bayesian statistics by @Marielle_ZZ 💻You'll learn about the main ideas behind Bayesian stats, hypothesis testing and Bayesian estimation in R! #EARA2020 More info: fpce.up.pt/eara2020/works… 📆Register before August 4th! conference.mercatura.pt/eara2020/login…
Scientists used tiny #robots to cure infections for the first time ever. V/ Ronald van Loon #AI #Robotics #ArtificialIntelligence #MachineLearning #DeepLearning #futuretech #InternetOfthings #Influencer #innovative
New Video 🥳 Supermasks in Superposition, three important things that didn't make it into Part 1: The G objective, Superposition without Supermasks & Broader Impact Statement 👩🏫 youtu.be/Jqvb7jp4Nm8 Mitchell Wortsman Vivek Ramanujan Rosanne Liu Ani Kembhavi Mohammad Rastegari Jason Yosinski
Revised version of our paper on the asymptotic behaviour of #Bayesian synthetic likelihood is up on ArXiv! (arxiv.org/abs/1902.04827). This is joint work with David Nott, Chris Drovandi and Robert Kohn. This version includes two novel, and empirically important results.
New Video🕺🕺SIRENs are wonderful for implicitly representing natural signals, but can they be extended to entire datasets? Gradient Origin Networks achieve this by acting simultaneously as SIRENS as well as implicit latent encoders!🔥 youtu.be/v-ZxzTSpmk4 Sam Bond-Taylor Chris Willcocks