Yes heartbreak hurts..but have you ever been badly sick during your NeurIPS rebuttals?

If you're still wondering whether you should join #UAI2026, think no more! The tutorials list is out, spanning probabilistic machine learning, interpretability, causality, LLM reasoning, constrained neural networks, and many more. 👉 www.auai.org/uai2026/tuto...

🚨 Opportunity for #Neurosymbolic AI folks! I’m looking for a PhD student or postdoc to join the 🇦🇹 FWF Cluster of Excellence Bilateral AI (think #NeSy++): www.bilateral-ai.net Feel free to reach out or share 🙌

Excited to share that our paper "Synthesizing Visual Concepts as Vision-Language Programs" has been accepted to #CVPR2026! 🎉 We propose a novel method that combines VLMs with symbolic program synthesis to learn reliable programs of visual concepts. 🌐 ml-research.github.io/vision-langu...

Antonia Wüst@toniwuest.bsky.social · 9mo ago

🚨 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.

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

uai2026@auai.org · 8mo ago

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

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

uai2026@auai.org · 8mo ago

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

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!

Moritz Willig@moritzwillig.bsky.social · 9mo ago

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

🚀 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

eurips.cc

A NeurIPS-endorsed conference in Europe held in Copenhagen, Denmark

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...

uai2026@auai.org · last yr.

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...

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

Sara Magliacane hiring PhDs at UvA@smaglia.bsky.social · last yr.

New PhD position at the University of Amsterdam in @amlab.bsky.social on learning concepts with theoretical guarantees using #causality and #RL with me, Frans Oliehoek (TU Delft) and Herke van Hoof 💥 Deadline: 15 June werkenbij.uva.nl/en/vacancies...

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...

Uncertainty in Artificial Intelligence

auai.org

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."

Exploring Neural Granger Causality with xLSTMs: Unveiling Temporal Dependencies in Complex Data

Causality in time series can be difficult to determine, especially in the presence of non-linear dependencies. The concept of Granger causality helps analyze potential relationships between variables,...

arxiv.org

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

BlendRL: A Framework for Merging Symbolic and Neural Policy Learning

Humans can leverage both symbolic reasoning and intuitive reactions. In contrast, reinforcement learning policies are typically encoded in either opaque systems like neural networks or symbolic…

arxiv.org

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 🤗

Martin Mundt@martinmundt.bsky.social · 2y ago

I’m hiring 2 fully-funded PhD students to join our new Lifelong ML lab at the University of Bremen, where our mission is to make ML/AI more sustainable, adaptive, robust & inclusive. App deadline Dec. 10: www.uni-bremen.de/en/universit... Please share or reach out! #MachineLearning #AI #PhD

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...