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About to fly to #Germany for a short #research tour of Saarland University, Max Planck Institute for Intelligent Systems, University of Tübingen, University of Stuttgart and TU Darmstadt!
Super happy to meet old friends and colleagues @IValeraM Steffen Staab @mniepert @bschoelkopf @PhilippHennig @Matthiasbetghe @kerstingAIML @javaloyML and more!
I made an example of how implementations of user defined probability functions in Stan can be tested in the generated quantities block. This is a much faster and easier approach to see implementation errors than by running MCMC.
See more in Stan Discourse post https://discourse.mc-stan.org/t/testing-user-defined-probability-function-implementations-in-stan-generated-quantities/29907
This post is inspired by Stan Slack discussion about implementing user defined probability functions and related to my old case study on implementing generalized Pareto distribution. In that case study, I implemented tests to check the correctness of the probability function implementations in R. Now that we have integrate_1d in Stan, we can make several tests also in generated quantities block. The idea is that we can test the user defined probability density function implementations quickly a...
I will have an open #internship position @AaltoUniversity on #probabilistic #circuits.
The internship will be within Aalto's #AScI program, which is an excellent opportunity! See project 4116 in the announcement below.
I will be opening a new post-doc position in our group with a potential starting date late summer or Sept. 2023. If you are interested, please get in touch by sending your CV at jobs-abi-riken-aip [at] googlegroups dot com.
Boost appreciated! Help me spread the word.
We are organizing an exciting workshop on the intersection of deep generative modelling and neurosymbolic learning at #ICLR2023 💎!
The call for papers is out now: https://nesygems.github.io/callforpapers/
Submission deadline: 3rd of February 2023
Super excited about hosting this workshop on multimodal representation learning at #ICLR2023! Is embedding multimodal data a waste of modelling capacity or a way to learn more generalisable representation? Submit your work and join our discussion! https://twitter.com/mrlworkshop/status/1604794318866518016
“Is having multiple modalities a blessing or a curse? What is a good representation? Let's find out together! We are proud to announce the 1st hybrid workshop on Multimodal Representation Learning at #ICLR2023 (@iclr_conf) 🚀 More info: https://t.co/EvoMrhi4VN”
Great news! Our hybrid workshop on Neurosymbolic Generative Models was accepted at ICLR 2023 🎉🎉🎉
More details on https://nesygems.github.io/
Co-organisers: @EmilevanKrieken, Halley Young, Disha Shrivastava, @jmtomczak and Kevin Ellis.
Aki Vehtari
Guy Van den Broeck
Martin Trapp
Emtiyaz Khan
NeSy-GeMs workshop @ICLR2023
Tim Rocktäschel
Thiviyan Thanapalasingam