📣 Announcing the Workshop on **Unifying Concept Representation Learning** (UCRL) at ICLR’26 (@iclr-conf.bsky.social ). When? 26 or 27 April 2026 Where? Rio de Janeiro, Brazil Call for papers, schedule, invited speakers & more: ucrl-iclr26.github.io Looking forward to your submissions!

Faithfulness of GNN explanations isn’t one-size-fits-all🧢 Our last @iclr-conf.bsky.social paper breaks it down across: 1. Evaluation metrics 2. Model implementations 3. OOD generalisation w: Antonio L. @looselycorrect.bsky.social @andreapasserini.bsky.social 1/5

is this AGI?

Submission deadline is extended to March 20 for submitting your paper to our #CVPR2025 workshop on Uncertainty Quantification for Computer Vision. Looking forward to see your submissions on recognizing failure scenarios and enabling robust vision systems! More info: uncertainty-cv.github.io/2025/

UNCV Workshop @ CVPR 2025

CVPR 2025 Workshop on Uncertainty Quantification for Computer Vision.

uncertainty-cv.github.io

Are you at AAAI in Philadelphia and interested about #tensor-factorizations or #circuits or even both? Then join us today at our tutorial: "From tensor factorizations to circuits (and back!)" Details and materials here april-tools.github.io/aaai25-tf-pc... Time 4:15pm - 6:00pm, Room 117

Finally, LOgically COnsistent (LoCo) LLaMas can outperform solver-based baselines and SFT! I thank @nolovedeeplearning.bsky.social and @looselycorrect.bsky.social for the guidance in realizing this project, get in touch or come to chat in Singapore! arxiv.org/abs/2409.13724

Logically Consistent Language Models via Neuro-Symbolic Integration

Large language models (LLMs) are a promising venue for natural language understanding and generation. However, current LLMs are far from reliable: they are prone to generating non-factual information ...

arxiv.org

🔊 Super excited to announce the first ever Frontiers of Probabilistic Inference: Learning meets Sampling workshop at #ICLR2025 @iclr-conf.bsky.social! 🔗 website: sites.google.com/view/fpiwork... 🔥 Call for papers: sites.google.com/view/fpiwork... more details in thread below👇 🧵

An incredible opportunity for the right person: The Santa Fe Institute is seeking applications for full-time resident faculty positions at all academic levels For me, this has been the best possible job ever. More info here: santafe.edu/about/jobs/r...

Protein instability is the main driver of inherited genetic conditions, according to the largest map of protein variants to date − Human Domainome 1.0 🔎 This dataset can help predict how proteins behave, paving the way for new treatments 💊 www.sanger.ac.uk/news_item/hu...

🦕 Special track at NeSy dedicated to KGs and Ontologies!! Have a look 🙌

NeSy 2026 Conference@nesyconf.org · 2y ago

Time to announce the second special track at the NeSy 2025 conference: Knowledge Graphs, Ontologies and Neurosymbolic AI 📖 Chaired by Cogan Shimizu. Check out the Call for Papers! 2025.nesyconf.org/kgs-ontologi...

My book is (at last) out, just in time for Christmas! A blog post to celebrate and present it: francisbach.com/my-book-is-o...

When building human allied AI systems, it is imperative to think of who is in control. In our blue sky paper at #AAAI, we argue that a deeper understanding of whether human is in the loop or if AI is in the loop is essential! arxiv.org/pdf/2412.14232

Neural Concept Binder @WolfStammer

Today Google's Gemini asked me if I wanted help with my messages to be a more effective communicator. I clicked on "yes". A button appeared that read "tips for procrastination". Here is what I got... Apparently procrastinating is a great skill to have. Thanks Google!! @garymarcus.bsky.social

Interested in estimating posterior predictives in Bayesian inference? Really want to know if your approximate inference "is working"? Come to our poster at the NeurIPS BDU workshop on Saturday - see TL;DR below.

I think one important aspect missing from the current #NeSy papers & talks is that a (#probabilistic) #neuro #symbolic approach to #AI and #ML does not bring full interpretability and trustworthiness but can actually give a false sense of reliability. See all the works on #reasoning shortcuts 1/2

The #NeurIPS experience is about to start! ✈ Drop me a line if you want to chat about #neurosymbolic reasoning #shortcuts, human-interpretable machine #concepts, logically-consistent #LLMs, or human-in-the-➰ #XAI! See you in Vancouver!

For those attending #NeurIPS2024 go to UNIREPS @unireps.bsky.social workshop to know more about representations similarity. Nice work led by @beatrixmgn.bsky.social 🌟

Andrea Dittadi@andreadittadi.bsky.social · 2y ago

Why do NNs often learn similar representations? Existing identifiability results offer theoretical insights, but applying them in practice poses challenges. We’ll present our new work exploring these challenges next week at @unireps #NeurIPS2024 🇨🇦🎉 openreview.net/pdf?id=SQKUZSieVg 1/

I made a starter pack with the people doing something related to Neurosymbolic AI that I could find. Let me know if I missed you! go.bsky.app/RMJ8q3i

We're doing a deep dive into possession value models. While VAEP, g+, PV & OBV are conceptually identical, they make different design choices. We look at using (no) goal vs. xG as the target variable. w/Lorenzo Cascioli @probberechts.bsky.social Lode Van Tente dtai.cs.kuleuven.be/sports/blog/...

Three key design decisions for possession state value models: an experimental analysis

A fundamental question for anyone interested in soccer is how to evaluate a player’s individual contributions using data. While counting…

dtai.cs.kuleuven.be

The best one could be to speed up progress in AI at this moment of history is to shape whatever is the community's reward function so that a fraction of the compute and brain power currently knob-turning GPTs to gain 0.25% on whatever unrealistic benchmark try SOMETHING NEW.

if you ever wondered how to concisely represent causal models, don’t miss my talk on causal abstraction tomorrow at @ellisamsterdam.bsky.social

ELLIS unit Amsterdam@ellisamsterdam.bsky.social · 2y ago

📢 The next Amsterdam Causality Meeting supported by the #ELLISunitAmsterdam will take place on Wednesday! 📅 December 4th ⏰ 14.30-17.30 📍 Lab 42 in L3.36 🔗 amscausality.github.io/upcoming/ Come and join us! 🚀✨

If you review for a #ML conference like @iclr-conf.bsky.social or @neuripsconf.bsky.social, YOU HAVE A RESPONSIBILITY TO REPLY TO THE AUTHORS. If the rebuttal doesn't address your concerns explain why. But giving a score of 2-3 then ghosting the authors is super rude. I say this as an AC. #MLSky

Kush R. Varshney: The AI Alignment Problem, Limits, and Solutions - in case you missed it -

Kush R. Varshney: The AI Alignment Problem, Limits, and Solutions

Abstract:  With the recent rise of large language models (LLMs) and generative AI, we are treating interactions - both helpful and harmful - as behaviors tha...

buff.ly

Is anyone familiar with efficient tools/libraries for over/under-approximating of the volume of convex polytopes (in H-representation)?

🚨 Interpretable AI often means sacrificing accuracy—but what if we could have both? Most interpretable AI models, like Concept Bottleneck Models, force us to trade accuracy for interpretability. But not anymore, due to Concept-Based Memory Reasoner (CMR)! #NeurIPS2024 (1/7)

The Uncertainty in Artificial Intelligence conference (UAI) is on 🦋! I'm a bit biased, but this is a fantastic conference for #probabilisticML, #causality, #causalML, #tractable #probabilistic #models, #imprecise probabilities, #reasoning, #neurosymbolic approaches and more. #causalSky #statSky

uai2026@auai.org · 2y ago

We are the premier conference on #uncertainty in #AI and #ML since 1985 🧓 Hello, 🦋! Follow us to reduce uncertainty!

The Human-Centered Explainable AI (HCXAI) Workshop will be back for the 5th time in 2025!

Upol Ehsan | hiring PhDs for Fall'27@upolehsan.bsky.social · 2y ago

The Human-centered Explainable AI (#HCXAI) workshop will be back at #CHI2025 for the FIFTH time in a row! This year will be better than ever before. We're ready--the only missing piece is YOU! 🔗 hcxai.jimdosite.com Please share + help us get the word out. #academicSky #academia #AI #HCI 1/2

@ropeharz.bsky.social forced me to do this starter pack on #tractable #probabilistic modeling and #reasoning in #AI and #ML please write below if you want to be added (and sorry if I did not find you from the beginning). go.bsky.app/DhVNyz5