An amazing conference at an amazing location. Mark your calendars for #UAI2026

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

Our poster, “When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions” will be presented during the second poster session of today, #2513 at #NeurIPS2025 . Looking forward to the discussions!

🚀 Join @tuda.bsky.social and @hessianai.bsky.social as Professor for Ethical & Safe AI to advance the algorithmic foundations of ethical and safe AI and to shape “Reasonable AI." Apply now and make an impact where AI meets society. 👉 buff.ly/bIvq7Mb

🚨 New paper alert! We introduce Vision-Language Programs (VLP), a neuro-symbolic framework that combines the perceptual power of VLMs with program synthesis for robust visual reasoning.

I'm excited to share some updates: 1) Our paper "When Causal Dynamics Matter: Adapting Causal Strategies through Meta-Aware Interventions" (openreview.net/pdf?id=3fpYX...) will be at #NeurIPS2025 We introduce Meta-Causal Analysis to model qualitative transitions of causal systems. 1/4

EurIPS is coming! 📣 Mark your calendar for Dec. 2-7, 2025 in Copenhagen 📅 EurIPS is a community-organized conference where you can present accepted NeurIPS 2025 papers, endorsed by @neuripsconf.bsky.social and @nordicair.bsky.social and is co-developed by @ellis.eu eurips.cc

NeurIPS is endorsing EurIPS, an independently-organized meeting which will offer researchers an opportunity to additionally present NeurIPS work in Europe concurrently with NeurIPS. Read more in our blog post and on the EurIPS website: blog.neurips.cc/2025/07/16/n... eurips.cc

next is Elias Bareinboim (causalai.net) from Columbia University, who will discuss in his keynote talk about the recent ✨ progress toward building causally intelligent AI systems ✨ full abstract 👉 www.auai.org/uai2025/keyn...

time to announce our amazing keynote speakers! we start with Francesca Dominici (hsph.harvard.edu/research/dom...) from Harvard University, who will talk about: ✨ AI's uncertain, double-edged role in the fight against climate change ✨ full abstract 👉 www.auai.org/uai2025/keyn...

Are you interested in improving the #interpretability, #robustness and #safety of current AI systems with #causality and #RL? Apply to our PhD position in Amsterdam 🚲🌷🇳🇱 Deadline: June 15

did you check our amazing list of tutorials in Rio? spanning - hyperparameter optimization - counterfactual reasoning - bayesian nonparametrics for causality - causal inference with deep generative models - modern variational inference 👉 www.auai.org/uai2025/tuto...

Horizontal, vertical, hybrid data partitioning: heterogeneity is tough to handle in federated learning! 🔥In “Scaling Probabilistic Circuits via Data Partitioning" - accepted at #UAI25 - we unify the different settings through aggregation of learned client distributions: arxiv.org/abs/2503.08141

Excited to share that our paper got accepted at #ICML2025!! 🎉 We challenge Vision-Language Models like OpenAI’s o1 with Bongard problems, classic visual reasoning challenges and uncover surprising shortcomings. Check out the paper: arxiv.org/abs/2410.19546 & read more below 👇

I'm excited to present our spotlight on meta-causal models at #ICLR2025 next week. We model evolving causal graphs in dynamic systems. Applications to inference and attribution of agent actions. Paper: openreview.net/forum?id=J9V... Visit our poster #441 during the Sat 3pm session.

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/

Idea of having a rebuttal acknowledgement button in #ICML2025 is a big goof up. It reduces the accountability of the reviewers since we don't get anything even after answering everything. If it was a discussion then at least they are forced to say what they did or did not like!!

xLSTM for time series with Granger causality: arxiv.org/abs/2502.09981 xLSTM again shows superb performance at time series analysis. "Our experimental evaluations on three datasets demonstrate the overall efficacy of our proposed GC-xLSTM model."

Thrilled to introduce BlendRL— our neuro-symbolic RL that bridges intuitive & symbolic reasoning! 🧠🤖 A step closer to reasoning agents that think & act seamlessly. 🚀 Check out the details in our #ICLR2025 paper! #AI #ReinforcementLearning

Thrilled to share our #ICLR2025 work on Meta-Causal States! 🌟 Causal graphs evolve with dynamic systems & agent actions. We show how to cluster causal models by qualitative behavior, revealing hidden dynamics & emergent relationships 🚀 #Causality #ML https://arxiv.org/abs/2410.13054

Three days left to apply for a PhD in my group! ⬇️⬇️ Come join us to work on the forefront of adaptive AI & lifelong machine learning. We’ve got lots of exciting ideas in store 🤗

The 41st Conference on #Uncertainty in #AI will be held in Rio de Janeiro 🇧🇷, July 21-25! The CfP is out 👉 www.auai.org/uai2025/call... 🚨 Feb 10: Paper submission 🗣️ Apr 3-10: rebuttal period 🎉/💀 May 6: Author notification #UAI2025 #ML #stats #learning #reasoning #uncertainty

I will be in Vancouver for #NeurIPS2024 presenting 2 works: one on extending Segment anything model with differentialble logic reasoners (openreview.net/pdf?id=cmSNX...) and one on making GNNs better with simple pre-processing modules (openreview.net/pdf?id=faj2E...) with @kerstingaiml.bsky.social

Amazing opportunity for #Neurosymbolic folks! 🚨🚨🚨 We are looking for a Tenure Track Prof for the 🇦🇹 #FWF Cluster of Excellence Bilateral AI (think #NeSy ++) www.bilateral-ai.net A nice starting pack for fully funded PhDs is included. jobs.tugraz.at/en/jobs/226f...