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A very cool application of probabilistic inference to weakly supervised learning! Vinay was absolutely wonderful to work with! He's currently looking for a PhD position and will be going to NeurIPS to present a poster on our work, make sure to talk to him!

I had a fantastic time working with everyone on this paper, pushing the frontier of gradient estimation as probabilistic inference for graph rewiring! Paper: arxiv.org/abs/2310.02156

Come say "Hallo" at poster #75, Halle B from 16:30 if you want to talk about graph rewiring and overcoming limitations of GNNs 😄 #ICLR2024

I'm very happy to share PyJuice, the culmination of years of scaling up probabilistic & logical reasoning for neural networks and LLMs, all in a PyTorch framework! #NeuroSymbolicAI

Yann LeCun SumTrader hey Yann, I think you missed works that show that logical reasoning can be *exactly* compiled into differentiable computational graphs, eg., proceedings.neurips.cc/paper_files/pa… and when exact compilation is not easy there are plenty of approximate inference scheme that work like a charm!

Sadly I won’t be at #ICML2024 but be sure to stop by our poster tomorrow (Tuesday) 11:30-1:30 to talk to Anji about our work on how to exploit structured sparsity to perform *efficient* probabilistic reasoning!

Very interesting paper studying *why* entropy minimization works! Entropy minimization is near and dear to my heart since my first paper was on *Neuro-Symbolic Entropy-Regularization*, or how to minimize entropy when you have domain knowledge! (proceedings.mlr.press/v180/ahmed22a/…)

Check out our work on tokenization led by the amazing Renato Lui Geh! It turns out you should consider *many* ways of tokenizing a sentence, which surprisingly gives rise to a #neurosymbolic problem formulation!

Very happy that our work on tokenization led by Renato Lui Geh is now accepted at #EMNLP2024!

I'll be at #EMNLP2024 next week presenting our work on tokenization alongside Renato Lui Geh! Looking forward to meeting everyone and commiserating over just how hard the problem of tokenization is!

I'm a total fanboy of hybrid continuous-discrete neural architectures like this one 🚀

Very excited to announce the Neurosymbolic Generative Models special track at NeSy 2025! Looking forward to all the submissions!

Looking forward to all the interesting submissions!