🗓️ Deadline extended: 💥2nd June 2025!💥
We are looking forward to your works on:
🔌 #circuits and #tensor #networks 🕸️
⏳ normalizing #flows 💨
⚖️ scaling #NeSy #AI 🦕
🚅 fast and #reliable inference 🔍
...& more!
please share 🙏
24.05.2025 12:13 — 👍 19 🔁 12 💬 0 📌 1
the #TPM ⚡Tractable Probabilistic Modeling ⚡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!
🕓 deadline: 23/05/25
👉 tractable-probabilistic-modeling.github.io/tpm2025/
16.04.2025 08:40 — 👍 37 🔁 19 💬 1 📌 3
add me pls thx! 🥜
06.12.2024 18:57 — 👍 6 🔁 0 💬 1 📌 1
Assistant Professor at Imperial College London | EEE Department and I-X.
Neuro-symbolic AI, Safe AI, Generative Models
Previously: Post-doc at TU Wien, DPhil at the University of Oxford.
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
🇮🇹 Stats PhD @ University of Edinburgh 🏴
@ellis.eu PhD - visiting @avehtari.bsky.social 🇫🇮
🤔💭 Monte Carlo, UQ.
Interested in many things relating to UQ, keen to learn applications in climate/science.
https://www.branchini.fun/about
Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia.
🌐 adrianjav.github.io
ELLIS PhD student at the University of Edinburgh
https://lenazellinger.github.io/
Professor @ KU Leuven researching AI, machine learning, and sports. Co founder of runeasi
#probabilistic-ml #circuits #tensor-networks
PhD student @ University of Edinburgh
https://loreloc.github.io/
Working on Probabilistic Programming Languages
https://web.cs.ucla.edu/~poorvagarg/
Postdoc @ University of California, Irvine | PhD from CS@UCLA
Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models
kareemahmed.com
I like computers.
assistant prof at northeastern https://www.khoury.northeastern.edu/home/sholtzen/
ML PhD student @ Uni Edinburgh
Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
AI Prof at TU Darmstadt, Founding Co-Director Hessian.AI, DFKI, AAAI/EurAI/AAIA/ELLIS Fellow, AAAI24 Ass. PC CoChair, Fmr. PC CoChair UAI, ECML PKDD, Invest. @Aleph__Alpha, Fmr. AI Column German Newspaper Welt (am Sonntag)
Probabilistic + logical + algebraic reasoning/learning
Assistant prof. @ University of Trento, Marie Skłodowska-Curie fellow
https://paolomorettin.github.io/
Senior assistant prof at University of Trento. I dig Explainable AI, Neuro-Symbolic AI, Interactive ML, Constraints & Circuits.
https://stefanoteso.github.io/ . I "maintain" https://github.com/stefanoteso/awesome-explanatory-supervision .
Professor of CS working in Statistical Relational AI, neurosymbolic AI, graphical models, sequential decision making and healthcare.
Professor of AI, DTAI, KU Leuven; Wallenberg Guestprofessor AASS, Örebro University; Director http://Leuven.AI, AAAI and EurAI Fellow, Former PC Chair IJCAI, ICML, ECAI and ECMLPKDD, ERC AdG 2015 and 2023
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
PhD student @ KU Leuven | maene.dev | #neurosymbolic learning & #probabilistic reasoning
