David Montalván @david_mont_h
Just a human being that is pretty good in turning oxygen into carbon dioxide. uai.win.tue.nl https://davidrmh.github.io/ Joined February 2019-
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I'll be at #AISTATS24 this week, presenting Probabilistic Integral Circuits (PICs), a language for continuous hierarchical latent variable models! We add integral units to tractable probabilistic models (TPMs) and represent hierarchical continuous mixtures. 🧵
How I fell out of love with academia (this video was an accidental publication/scheduling blunder😬😬 but well uh, happy Friday I guess) youtube.com/watch?v=LKiBlG…
This is wonderful @xkcd
It's official—there'll be a workshop on Geometrical and Topological Representation Learning @iclr_conf. Stay tuned for more information! #Geometry #Topology #MachineLearning #RepresentationLearning
Please join The ##Neurosymbolic AI Panel 👇at @RealAAAI #aaai2021: Sunday Feb 7, 7:30 AM PST. Amazing panelists: @guyvdb, Marta Kwiatkowska, Matthew Botvinick, Leslie P Kaelbling, and @luislamb ! Thanks for joining @GaryMarcus @Montreal_AI @ceobillionaire
Submission site is open for #UAI2021 All accepted papers will be presented in poster sessions and spotlight presentations in a single plenary track. Selected papers will have longer presentations and an assigned discussant to foster debate! auai.org/uai2021/
#UAI2021 is online: auai.org/uai2021/ check the call for papers (deadline 19 Feb)! Call for workshop proposals will come soon. Let's build a great program and online experience, the chairs welcome suggestions auai.org/uai2021/contac…
I expect this to be a very interesting podcast.
The Slack community for causalcourse.com reached 500 people today. It looks like people are organizing study groups in a few different timezones. People with many different interesting backgrounds in the course.
Happy to announce the workshop "I Can't Believe It is Not Better" @ NeurIPS 2020. Please consider submitting and spread the word! Submission deadline: October 14th. See all details here: …cant-believe-its-not-better.github.io
1/6 Excited to announce that a draft of my book Algorithms for Convex Optimization (to be published by Cambridge) is available for download: convex-optimization.github.io Intended audience includes undergraduates, graduates and researches from TCS, optimization, and machine learning
A gentle introduction to #Probabilistic #Circuits #PCs and the importance and joys of #tractable #inference and #modeling in #ML and #AI A new tutorial with @yjchoi012 @ropeharz @guyvdb at @ECAI2020 #ECAI2020 starting in ~30 mins👇👇👇 digital.ecai2020.eu/session/probab…
The alternating harmonic series 1 - 1/2 + 1/3 - 1/4 + 1/5 - 1/6 + ... can be rearranged to approach any limit you want! This amazing fact (a special case of the Riemann rearrangement theorem) is elegantly illustrated by this applet cindyjs.org/gallery/main/A… (ht @paultpearson).
Very interesting introduction to Causal Inference and Machine Learning by @Susan_Athey: idss.mit.edu/calendar/idss-…
nlp-roadmap is a repo that provides a roadmap for students who are interested in NLP. Guide yourself on what to study by identifying keywords and following the mind map. It could also serve as a guide to prepare for an NLP Engineer interview. github.com/graykode/nlp-r…
Why is this interesting? - Amsterdam and The Autonomous Zone Edition by @WhyInteresting whyisthisinteresting.substack.com/p/why-is-this-…

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