Our team had a great time at ICML recently! Especially with @matt_niedoba's spotlight paper (https://t.co/6MyWPENmiZ) sparking some interesting discussion
Congrats to Amii researchers Alona Fyshe and Frank Wood on their recent Canada @CIFAR AI Chair renewals. Their recent renewals not only strengthen Canada’s AI research landscape but also solidify Amii as a hub of research excellence. Read more: https://t.co/kVsX25Ww3o
I'm pleased to announce https://t.co/QbZQwg9TTQ the @PLAIGroup's latest effort towards building an audio in/out,video,keyboard,mouse open-source embodied AI data collection effort. If you and or your children enjoy #Minecraft visit and contribute!
https://t.co/CwRGWvHnAY
.@UBC_CS to launch advanced machine learning training network.
@NSERC_CRSNG
“This program does nothing less than establish one of the best training experiences possible for any young #AI researcher in the world,” says Dr. Frank Wood (@frankdonaldwood)
https://t.co/LqJgs4Bzww
UBC machine learning spin-off Inverted AI awarded $1.2M from @MitacsCanada, providing funding for over a dozen grad students to work on deep-generative behavioral modeling for autonomous vehicles
@frankdonaldwood@PLAIGroup@CAIDA_UBC
https://t.co/T6amfTiGok
We are seeking applications for a postdoctoral fellow to develop #ML methods for applications in Physics! #postdoc#MachineLearning
https://t.co/uDk4dacCnO
We are accepting applications for the Data Science for Social Good (#DSSG) Summer 2022! If you're a #UBC student in 3rd year or higher, and would like to gain hands-on #datascience#research experience, check out the opportunity and apply here: https://t.co/6X9cq6829T.
Incredibly excited for @wacv2021 (*2022 albeit), and presenting our work on transductive few-shot learning (See Transductive CNAPS pre-print at https://t.co/7xKhWQ8zv2). Check out our 5-minute paper video at https://t.co/Jy3ZGIS6pY
📢 PhD Opportunity in AI for Chemistry📢
Bernd Ensing (@BerndEnsing), Shiju Raveendran, Max Welling (@wellingmax) and I are recruiting a PhD student to work on AI for inverse design of catalysts for CO2 conversion.
Deadline 31 Dec. DMs open!
https://t.co/ToZxB47KkT
Tomorrow, I will give a tutorial on "ML from a Bayesian Perspective" at ACML 2021.
https://t.co/pyRhcB8hAz
I also wrote a summary for the slides, explaining why a Bayesian perspective is essential for machine learners https://t.co/xN4JxTSaD8
Slides: https://t.co/3Ht6wRJqtn
Excited to announce new positions in Tokyo for @BayesDuality, focusing on adaptive, robust, and lifelong deep learning. Get in touch if interested (URMs highly encouraged).
Also available PhD positions @OISTedu (I think due soon).
RTs appreciated. Help us spread the word
To celebrate the start of the PROBPROG conference today (https://t.co/PKuVcbTwml), we have put the next iteration of our book on probabilistic programming online: https://t.co/5HSE0Rkk5a. [1/]
Nice! Shameless plug: A Clojure compiler implementation for the FOPPL language described in this book purposes can be found here https://t.co/R32PUyLXus (used also by @frankdonaldwood at @PLAIGroup for teaching).
I am happy to present my probabilistic programming compiler Daphne at London Clojurians in October. Thanks to @BrunoBonacci for organizing it! https://t.co/R32PUyLXus https://t.co/bfYm3Y2xIK #clojure