Sara Magliacane wurde zur Professorin für Machine Learning an der UdS berufen. Ihr Forschungsschwerpunkt liegt darin, zu erforschen, wie sich Konzepte der Kausalität nutzen lassen, um KI-Modelle sicherer und verlässlicher zu machen.
👉 www.uni-saarland.de/aktuell/sara...
© MFW
📷 Our #ICLR2026 workshop on "Unifying Concept Representation Learning" brings together perspectives from XAI, causal representation learning, and neuro-symbolic AI—with the goal of fostering cross-pollination across communities that don’t often interact.
The schedule is now live 🔗 below 👇🏼
We're looking for a new colleague at @amlab.bsky.social: Assistant Professor in AI for Science 🔬🤖
World-class ML research, Amsterdam's thriving AI ecosystem (ELLIS, startups, big tech), and some of the best academic labor conditions in Europe ❤️
Deadline: May 30 👉 werkenbij.uva.nl/en/vacancies...
🛠️ The #uai2026 workshop lineup is out!
Check out the full list of accepted workshops 👉auai.org/uai2026/workshops
Don't forget to register and see you in Amsterdam 🇳🇱 on August 21!
📣 Registration for #uai2026 is now open!
Join us in Amsterdam 🇳🇱 this August 17-21 for cutting-edge research on uncertainty in AI.
early-bird rates available 🐦
students welcome 🎓
Secure your spot 👉 auai.org/uai2026/registration
I prefer to refer to it as Sara-land 😜
Deutscher als du ;) on my way to integration in my new home
11 more days to apply to these positions! Come join us in Amsterdam to work on #causality #XAI and #AI #safety
Congrats and greetings from Saarland 🥂 to many future DFG proposals on causality 😅
Don't miss the call for tutorials at #UAI2026!
Submissions are open until April 30th.
👉 www.auai.org/uai2026/call...
🚨2 PhD positions with me @amlab.bsky.social on learning causally grounded concepts 🚨
Are you interested in improving the #interpretability #robustness and #safety of AI by integrating #causal reasoning? Join us in beautiful Amsterdam 🇳🇱🌷🚲
Deadline: 20 April
www.academictransfer.com/en/jobs/3593...
🧑🏫 Don't miss the chance to discuss or showcase your research field to the UAI audience.
🚨 Call for workshops and call for tutorials are out!
👉 www.auai.org/uai2026/call...
👉 www.auai.org/uai2026/call...
🎉 We’re excited to announce the Keynote Speakers for #UAI2026 — three researchers shaping the future of causal learning, large-scale ML, and responsible AI. 👇
🚨 Just over a week to go! Submissions close on February 25.
✨ There's still time to submit: but don't miss it!
👉 auai.org/uai2026/call...
I am excited to announce our Workshop on Causality in the Age of AI Scaling in AISTATS 2026!
- Is scaling sufficient for intelligent systems?
- Can causal abilities emerge from scale?
- What can causal modeling bring that scale cannot?
causcale.github.io
Submission deadline is February 27th.
With ICML submissions behind us, we invite your latest work to be submitted to the Workshop on Unifying Concept Representation Learning (UCRL) at ICLR 2026.
📅 Deadline (extended!): Feb 3, 2026 (23:59 AOE)
🔗 ucrl-iclr26.github.io
Best conference with the best people and in the best place 😎 😜
Also the submission deadline is conveniently one month later than #ICML2026, just in case you needed it 😅
Submissions are now open for UAI 2026 in Amsterdam. Deadline is February 25th, 2026 (23:59 AoE). Call for papers here: www.auai.org/uai2026/call...
Just two weeks until the deadline of our @iclr-conf.bsky.social workshop on the intersection of #XAI, #causality and #NeSy 💥💥💥
More details here ucrl-iclr26.github.io/call-for-pap...
What’s going on behind the scenes of #UAI2026? 👀
Meet the wonderful people working hard for this year’s edition ❤️
👉 www.auai.org/uai2026/orga...
Get your OpenReview account ready:
submissions open in two weeks! 📝
📅 Submissions open: Jan 25, 2026
🚨 Submission deadline: Feb 25, 2026
See you in Amsterdam! 🇳🇱🚲
👉 auai.org/uai2026/call...
#UAI2026 #ML #Statistics #Learning #Reasoning #Uncertainty #AI
#XAI, #neurosymbolic methods #nesy and #causal #representation #learning #CRL all care about learning #interpretable #concepts, but in different ways.
We are organizing this #ICLR2026 workshop to bring these three communities together and learn from each other 🦾🔥💥
Submission deadline: 30 Jan 2026
@nolovedeeplearning.bsky.social @ema-ridopoco.bsky.social @emilevankrieken.com @guyvdb.bsky.social @rao2z.bsky.social @zhijingjin.bsky.social @hiddefokkema.bsky.social @timvanerven.nl @chandlersquires.bsky.social @jhartford.bsky.social etc etc :)
#XAI, #neurosymbolic methods #nesy and #causal #representation #learning #CRL all care about learning #interpretable #concepts, but in different ways.
We are organizing this #ICLR2026 workshop to bring these three communities together and learn from each other 🦾🔥💥
Submission deadline: 30 Jan 2026
Maybe also relevant for @jermainkaminski.bsky.social @p-hunermund.com @jessekrijthe.bsky.social @gelovennan.bsky.social @eurocim.bsky.social @tobigerstenberg.bsky.social
hardcore uncertainty ftw!
(UAI is the best conference!)
@nolovedeeplearning.bsky.social @cassiodecampos.bsky.social @amlab.bsky.social @vincefort.bsky.social @canaesseth.bsky.social @erikjbekkers.bsky.social @ropeharz.bsky.social @devendradhami.bsky.social etc etc
A fantastic opportunity to join us in #Amsterdam for some hardcore #uncertainty in #AI 🦾🚲🌷✖️✖️✖️
#causality #tractable #probabilistic #models #neurosymbolic #imprecise #probabilities #statistical #methods and more
Ready to bike along the canals? 🚲
The 42nd Conference on Uncertainty in AI will be in Amsterdam, August 17-21! 🇳🇱
CfP is out 👉 auai.org/uai2026/call...
🚨 Feb 25: Paper submission
🗣️ Apr 23–May 2: rebuttal period
🎉💀 Jun 1: Author notification
#UAI2026 #ML #stats #learning #reasoning #uncertainty #AI
Estimating causal effects efficiently doesn’t have to mean discovering the entire causal graph! Now you can find the optimal adjustment from only local information using LOAD!
📜 Preprint: arxiv.org/abs/2510.14582
👾 Code: github.com/Matyasch/load
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