Lorenzo Loconte

158 posts

Lorenzo Loconte

Lorenzo Loconte

@loreloc_

PhD Student @ University of Edinburgh

Edinburgh, Scotland Katılım Mart 2017
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Lorenzo Loconte
Lorenzo Loconte@loreloc_·
We learn more expressive mixture models that can subtract probability density by squaring them 🚨We show squaring can reduce expressiveness To tackle this we build sum of squares circuits🆘 🚀We explain why complex parameters help, and show an expressiveness hierarchy around🆘
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Viacheslav Borovitskiy (Hiring PhD Students)
Viacheslav Borovitskiy (Hiring PhD Students)@vabor112·
Happy to share a major milestone: after years of development, we are officially launching Version 1.0 of the GeometricKernels library! To top it off, our accompanying paper has just been published in JMLR (MLOSS)! 🎉 github.com/geometric-kern…
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Adrián Javaloy
Adrián Javaloy@javaloyML·
I am a bit late to the party, but I am happy to share that our latest work was accepted to #ICLR2026 🥳🥳 📜 How to Square Tensor Networks and Circuits Without Squaring Them arxiv.org/abs/2512.17090
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Stefano Teso ✈️ AAAI26
Stefano Teso ✈️ AAAI26@looselycorrect·
Good news everyone! This year we will be organizing a workshop on Unifying Concept Representation Learning at ICLR'26! The workshop is about unifying ideas and techniques from #NeSy AI, #XAI and #Causal representation learning. Have a look at the CfP!
UCRL Workshop @ ICLR 2026@UcrlW_iclr2026

📢 Announcing the Workshop on **Unifying Concept Representation Learning** at ICLR’26 ( @iclr_conf ). 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!

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EurIPS Conference
EurIPS Conference@EurIPSConf·
Congratulations to everyone who got their @NeurIPSConf papers accepted 🎉🎉🎉 At #EurIPS we are looking forward to welcoming presentations of all accepted NeurIPS papers, including a new “Salon des Refusés” track for papers which were rejected due to space constraints!
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NeSy 2026
NeSy 2026@nesyconf·
@luislamb We're glad to announce the NeSy 2025 Test of Time award for "Probabilistic Inference Modulo Theories"! 🏆Rodrigo de Salvo Braz was here to accept the award. This is groundwork for recent NeSy approaches like DeepSeaProbLog and the probabilistic algebraic layer.
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Samy Badreddine
Samy Badreddine@sbadredd·
@deedydas Insightful! We tackled the same problem in Knowledge Graph Completion. Dot-product scoring on low-dim embeddings severely limits what a model can predict. We call this a “rank bottleneck” to align with the existing LM literature. Our paper for context: arxiv.org/abs/2506.22271
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EurIPS Conference
EurIPS Conference@EurIPSConf·
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 and #NordicAIR and is co-developed by @ELLISforEurope eurips.cc
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Cosimo Gregucci@ICML
Cosimo Gregucci@ICML@c_gregucci·
Spotlight poster coming soon at #ICML2025 @icmlconf! 📌East Exhibition Hall A-B E-1806 🗓️Wed 16 Jul 4:30 p.m. PDT — 7 p.m. PDT 📜arxiv.org/pdf/2410.12537 Let’s chat! I’m always up for conversations about knowledge graphs, reasoning, neuro-symbolic AI, and benchmarking.
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antonio vergari ⚔️@tetraduzione

🚨Is complex query answering really complex?🚨 unfortunately not! the current benchmarks boil down to link prediction 98% of the time... how to fix this??? 👇👇👇 📜arxiv.org/abs/2410.12537 with @c_gregucci @BoXiongs @loreloc_ @PMinervini @ststaab

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Emanuele Marconato
Emanuele Marconato@ema_marconato·
🧵Why are linear properties so ubiquitous in LLM representations? We explore this question through the lens of 𝗶𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆: “All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling” Published at #AISTATS2025🌴 1/9
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Emile van Krieken
Emile van Krieken@EmilevanKrieken·
We propose Neurosymbolic Diffusion Models! We find diffusion is especially compelling for neurosymbolic approaches, combining powerful multimodal understanding with symbolic reasoning 🚀 Read more 👇
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Flavio Adamo
Flavio Adamo@flavioAd·
I asked Codex to convert a legacy project from Python 2.7 to 3.11 and from Django 1.x to 5.0 It literally took 12 minutes If you know, that’s usually weeks of pain This is actually insane
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Lennert De Smet
Lennert De Smet@LennertDS_·
Just under 10 days left to submit your latest endeavours in ⚡#tractable⚡ probabilistic models❗ Join us at TPM @auai.org #UAI2025 and show how to build #neurosymbolic / #probabilistic AI that is both fast and trustworthy!
antonio vergari ⚔️@tetraduzione

the #TPM ⚡Tractable Probabilistic Modeling ⚡Workshop is back at @UncertaintyInAI #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/

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Jaron Maene
Jaron Maene@jjcmoon·
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!
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Eleonora Giunchiglia
Eleonora Giunchiglia@e_giunchiglia·
🚨New at #ICLR: we introduce the first ever 𝐥𝐚𝐲𝐞𝐫 that makes 𝐚𝐧𝐲 neural network 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐭 𝐛𝐲 𝐝𝐞𝐬𝐢𝐠𝐧 with constraints expressed as 𝐝𝐢𝐬𝐣𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐥𝐢𝐧𝐞𝐚𝐫 𝐢𝐧𝐞𝐪𝐮𝐚𝐥𝐢𝐭𝐢𝐞𝐬—even if they define 𝐧𝐨𝐧-𝐜𝐨𝐧𝐯𝐞𝐱 𝐬𝐩𝐚𝐜𝐞𝐬!
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Russell Tsuchida
Russell Tsuchida@RussellTsuchida·
Squared families can be viewed as simplified versions of previous models, such as squared probabilistic circuits (@loreloc_ ), or squared neural families. We fix the "hidden feature" for extra tractable theory, while still allowing for rich representations.
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Pascal Hitzler
Pascal Hitzler@pascalhitzler·
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Bhavya Kailkhura
Bhavya Kailkhura@bkailkhu·
Our paper "Low-rank finetuning for LLMs is inherently unfair" won a 𝐛𝐞𝐬𝐭 𝐩𝐚𝐩𝐞𝐫 𝐚𝐰𝐚𝐫𝐝 at the @RealAAAI colorai workshop! #AAAI2025 Congratulations to amazing co-authors @nandofioretto @WatIsDas @CuongTr95450563 and M. Romanelli 🥳🥳🥳
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Bhavya Kailkhura@bkailkhu

Fine-tuning your LLM with LoRA for critical areas like ⚖️ criminal justice, 🏥 healthcare, or 💼 hiring? ⚠️ Think again! ⚠️ 🚨 We found that LoRA can amplify #AI #harms: ❗️False sense of #safety #alignment 🚫Increased #unfairness and #bias, hitting minority groups the hardest

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Lorenzo Loconte
Lorenzo Loconte@loreloc_·
The last speaker of the workshop is Alexandros Georgiou, who is giving an introduction to polynomial networks and equivariant tensor network architecture, as well as how to implement them.
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Lorenzo Loconte
Lorenzo Loconte@loreloc_·
Live from the CoLoRAI workshop at AAAI april-tools.github.io/colorai @nadavcohen is now giving his talk on "What Makes Data Suitable for Deep Learning?" Tools from quantum physics are shown to be useful in building more expressive deep learning models by changing the data distribution
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Keşfet

@NeurIPSConf @luislamb @deedydas @ELLISforEurope @icmlconf @flavioAd @auai @looselycorrect