Stefano Teso

📣 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?

UNCV Workshop @ CVPR 2025 CVPR 2025 Workshop on Uncertainty Quantification for Computer Vision.

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/

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

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 ...

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

🔊 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 🙌

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 🌟

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

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…

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/...

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

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

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

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

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

"deep learning-assisted physiognomic research" :-D

@pedrozudo.bsky.social I always knew you were a skeptic - just looking at your face was enough.

(It's a joke!)