Yuge Shi (Jimmy)    @YugeTen
My supervisor Sid has 2 PhD positions available at University of Edinburgh! A great learning opportunity for those interested in probabilistic generative models. See more details on Sid's website here: https://t.co/5caiBWgp9C
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Balaji Lakshminarayanan    @balajiln
Really enjoyed giving a talk on "Introduction to Uncertainty in Deep Learning" at @CIFAR_News #DLRL summer school today🙂Lots of great questions! Link to slides: https://t.co/SgMkHAxmIf All models are wrong, but ̶s̶o̶m̶e̶ ̶ *models that know when they are wrong*, are useful😋 https
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Nan Rosemary Ke    @rosemary_ke
Call for papers for the 1st Causal Learning and Reasoning (CLeaR) conference! Paper submission deadline is Oct 22nd, see our website https://t.co/85mu4I7KDA for details. Looking forward to the conference! https://t.co/PuanyI8itU

The Jerusalem Post    @Jerusalem_Post
The recent phone call between presidents @Isaac_Herzog and Recep Tayyip Erdogan, opens a window of opportunity for improved Israel-Turkey relations if those in #Israel's government of change reexamine their past positions on #Turkey. Opinion https://t.co/wNmNHx6SZS

Yann LeCun    @ylecun
2 more lectures from the Spring'21 NYU Deep Learning course. Energy-Based Model, a general framework to describe most ML/stat methods, whether probabilistic or not, supervised, weakly sup, self-sup, or unsup, contrastive or not, with latent variables or not, generative or not.



 







Yuge Shi (Jimmy)

Yann LeCun

Samuel Kaski

Rob Salomone

Atılım Güneş Baydin

Nils Reimers