Lennert De Smet (@lennertds_) 's Twitter Profile
Lennert De Smet

@lennertds_

ID: 1558005559210790912

calendar_today12-08-2022 08:21:31

13 Tweet

37 Takipçi

49 Takip Edilen

David Debot (@debot_david) 's Twitter Profile Photo

🚨 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)

🚨 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)
Lennert De Smet (@lennertds_) 's Twitter Profile Photo

Are you interested in more scalable reasoning under uncertainty and attending NeurIPS? Then pass by our poster #3708 later today at 4.30pm! TL;DR Probabilistic inference of integer arithmetic for probabilistic reasoning can be massively accelerated with tensors and the FFT. 🚀

Pieter Delobelle (@pieterdelobelle) 's Twitter Profile Photo

Unsure where to submit your next research paper to now that aideadlin.es is not updated anymore? Is the location for you as important as the conference? Then check out 🗺️ deadlines.pieter.ai

Unsure where to submit your next research paper to now that aideadlin.es is not updated anymore? Is the location for you as important as the conference? 
Then check out 🗺️ deadlines.pieter.ai
Gabriele Venturato (@gabventurato) 's Twitter Profile Photo

🔥 Can AI reason over time while following logical rules in relational domains? We will present Relational Neurosymbolic Markov Models (NeSy-MMs) next week at #AAAI2025! 🎉 📜 Paper: arxiv.org/pdf/2412.13023 💻 Code: github.com/ML-KULeuven/ne… 🧵⬇️

🔥 Can AI reason over time while following logical rules in relational domains? We will present Relational Neurosymbolic Markov Models (NeSy-MMs) next week at #AAAI2025! 🎉

📜 Paper: arxiv.org/pdf/2412.13023
💻 Code: github.com/ML-KULeuven/ne…

🧵⬇️
Lorenzo Loconte (@loreloc_) 's Twitter Profile Photo

We are going to present our poster "Sum of Squares Circuits" at AAAI in Philadelphia today Hall E 12:30pm-14:00pm poster #840 We trace expressiveness connections of different types of additive and subtractive deep mixture models and tensor networks 📜 arxiv.org/abs/2408.11778

Thomas Heap (@thomaseheap) 's Twitter Profile Photo

Our paper Massively Parallel Expectation Maximization For Approximate Posteriors is now on arXiv! In this work we introduce the QEM method for fast approximate posterior estimation in Hierarchical Bayesian models. 🧵👇

Our paper Massively Parallel Expectation Maximization For Approximate Posteriors is now on arXiv! In this work we introduce the QEM method for fast approximate posterior estimation in Hierarchical Bayesian models. 🧵👇
antonio vergari - hiring PhD students (@tetraduzione) 's Twitter Profile Photo

the #TPM ⚡Tractable Probabilistic Modeling ⚡Workshop is back at UAI 2025 #UAI2025! Submit your works on: - fast and #reliable inference - #circuits and #tensor #networks - normalizing #flows - scaling #NeSy #AI 🕓 deadline: 23/05/25 👉 …able-probabilistic-modeling.github.io/tpm2025/

the #TPM ⚡Tractable Probabilistic Modeling ⚡Workshop is back at <a href="/UncertaintyInAI/">UAI 2025</a> #UAI2025! 

Submit your works on:  
- fast and #reliable inference 
- #circuits and #tensor #networks
- normalizing #flows
- scaling #NeSy #AI 

🕓 deadline: 23/05/25 
👉 …able-probabilistic-modeling.github.io/tpm2025/
Jaron Maene @ICLR (@jjcmoon) 's Twitter Profile Photo

We developed a library to make logical reasoning embarrassingly parallel on the GPU. For those at ICLR 🇸🇬: you can get the juicy details tomorrow (poster #414 at 15:00). Hope to see you there!

We developed a library to make logical reasoning embarrassingly parallel on the GPU.  

For those at ICLR 🇸🇬: you can get the juicy details tomorrow (poster #414 at 15:00). Hope to see you there!
Nicola Branchini (@branchini_nic) 's Twitter Profile Photo

🚨 New paper: “Towards Adaptive Self-Normalized IS” TLDR; To estimate µ = E_p[f(θ)] when p(θ) has intractable partition, instead of doing MCMC on p(θ) or learning a parametric q(θ), we try MCMC directly on p(θ)| f(θ)-µ | - variance-minimizing proposal. arxiv.org/abs/2505.00372

Lennert De Smet (@lennertds_) 's Twitter Profile Photo

Just under 10 days left to submit your latest endeavours in ⚡#tractable⚡ probabilistic models❗ Join us at TPM ยัยตัวร้าย auai.org #UAI2025 and show how to build #neurosymbolic / #probabilistic AI that is both fast and trustworthy!

Nicola Branchini (@branchini_nic) 's Twitter Profile Photo

Obsession with statistics or not .. better make sure evaluations make sense and we're not tuning the random seed. Don't need to know all the fanciest statistical tests, but doesn't seem like that's the issue typically (to me) 🤷‍♂️ Heard of some statistical precipices ..