news
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01 Nov 2020
I am on the job market!
Get in touch with me if you know about open position in #AI, #ML and #probabilistic #inference requiring efficient and reliable models.
I did a few things in that space! -
10 Oct 2020
Dagsthul here we come!
My proposal with Max Welling, Kristian Kersting and Priyank Jaini for a Dagsthul seminar on "New advances in tractable probabilistic inference" has been accepted!
Stay tuned! -
14 Sep 2020
PC Tutorial @ ECML-PKDD2020
The latest incarnation of the Probabilistic Circuits tutorial was at ECML-PKDD 2020! We have a video!
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10 Sep 2020
Approximate WMI @ NeurIPS2020
Our work on tracing the boundarines of tractability for probabilistic inference with algebraic constraints got accepted at NeurIPS2020!
See you there!
e.g.
"quare id inferam fortasse requiris"
Can a single probabilistic model deliver robust and tractable inference
in presence of uncertainty over inputs (e.g., missing values, noise,...)
and detect anomalous values while dealing with heterogeneous
(mixed continuous and discrete, different likelihood models and statistical data types)?
Can we use it for exploratory data analysis?
Which kind of (probabilistic) patterns will it discover?
Can a single probabilistic model deliver robust and tractable inference
in presence of uncertainty over inputs (e.g., missing values, noise,...)
and detect anomalous values while dealing with heterogeneous
(mixed continuous and discrete, different likelihood models and statistical data types)?
Can we use it for exploratory data analysis?
Which kind of (probabilistic) patterns will it discover?