Last talk of the day for TPM!
@auai.org #TPM2025
25.07.2025 20:03 β π 11 π 2 π¬ 0 π 0
An excellent first talk from @kareemyousrii.bsky.social!
25.07.2025 13:26 β π 4 π 0 π¬ 0 π 1
A great start to TPM 2025! @auai.org
#UAI2025 #TPM
25.07.2025 13:22 β π 9 π 3 π¬ 0 π 0
ποΈ Deadline extended: π₯2nd June 2025!π₯
We are looking forward to your works on:
π #circuits and #tensor #networks πΈοΈ
β³ normalizing #flows π¨
βοΈ scaling #NeSy #AI π¦
π
fast and #reliable inference π
...& more!
please share π
24.05.2025 12:13 β π 19 π 12 π¬ 0 π 1
the #TPM β‘Tractable Probabilistic Modeling β‘Workshop is back at @auai.org #UAI2025!
Submit your works on:
- fast and #reliable inference
- #circuits and #tensor #networks
- normalizing #flows
- scaling #NeSy #AI
...& more!
π deadline: 23/05/25
π tractable-probabilistic-modeling.github.io/tpm2025/
16.04.2025 08:40 β π 37 π 19 π¬ 1 π 3
Theorist in Waterloo. Quantum information, quantum computing, science, parenting. https://gsbsmith.ca
Professor of Computer Science at Cambridge.
TCS+ is the original online seminar in theoretical computer science, committed to the carbon-free dissemination of ideas across the globe since 2013. Talks from the cutting edge of research in TCS, for a wide audience: https://www.tcsplus.org
SCAI is the home of interdisciplinary excellence in computer science, engaged in education and research to address the grand challenges of modern society.
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts β into puns: sometimes theorems. He/him.
Building personalized Bluesky feeds for academics! Pin Paper Skygest, which serves posts about papers from accounts you're following: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest. By @sjgreenwood.bsky.social and @nkgarg.bsky.social
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
Probabilistic + logical + algebraic reasoning/learning
Assistant prof. @ University of Trento, Marie SkΕodowska-Curie fellow
https://paolomorettin.github.io/
ML PhD student @ Uni Edinburgh
Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
PhD student @ KU Leuven | maene.dev | #neurosymbolic learning & #probabilistic reasoning
Post-doc @ VU Amsterdam, prev University of Edinburgh.
Neurosymbolic Machine Learning, Generative Models, commonsense reasoning
https://www.emilevankrieken.com/
ELLIS PhD student at the University of Edinburgh
https://lenazellinger.github.io/
Postdoc @ University of California, Irvine | PhD from CS@UCLA
Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models
kareemahmed.com
Computer Scientist
Master student applying for a Phd position
causality, probabilistic AI
https://www.ime.usp.br/~bazaluk/
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
