Polski

Posty z #NeSy

#NeSy

Publiczne posty w X, które używają #NeSy.

Powiązane hashtagi

  1. antonio vergari ⚔️@tetraduzione
    in #NeSy #AI we know #unargmaxable outputs that cannot be predicted because we force them to have 0 probability as they violate constraints. In this #AAAI24 paper we generalize this: outputs with non-zero probability can still never be predicted 👀
    Andreas Grivas @andreasgrv
    However, when the number of features is less than the number of outputs, you are guaranteed to have many label assignments that can never be predicted irrespective of the input. We call such outputs *unargmaxable*. (4/7)
    27244.2K
  2. Andreas Grivas@andreasgrv
    @andreasgrv
    However, when the number of features is less than the number of outputs, you are guaranteed to have many label assignments that can never be predicted irrespective of the input. We call such outputs *unargmaxable*. (4/7)
    Pobierz
    1074.9K
  4. Samuele Bortolotti@samubortolotti
    @samubortolotti
    🌐 rsbench allows you to evaluate the concepts learned by: 1️⃣ Neuro-Symbolic models (#NeSy) 2️⃣ Concept Bottleneck Models (#CBMs) 3️⃣ Black-box Neural Networks (NNs*) 4️⃣ Vision-Language Models (#VLMs*) * through post-hoc concept-based explanations (e.g., TCAV)
    Pobierz
    103403
  5. Tilman Hinnerichs@thinnerichs
    I presented our work "Towards a fully declarative neuro-symbolic language" at #NeSy 2024. Maybe this is the NeSy answer to generative AI. 👀 @EmilevanKrieken Check it out on Arxiv:
    Ernesto Jimenez-Ruiz @ejimenez_ruiz
    #NeSy 2024 Day 2
    15201.5K
  7. Baskin Engineering at UCSC@BaskinEng
    💡We hosted the 2025 conference on #Neurosymbolic Learning and Reasoning (#NeSy), the longest-standing gathering to discuss research in neurosymbolic #AI! “It's the first time the conference was held in the U.S. as a full conference rather than a workshop." -Prof Leilani Gilpin.
    Pobierz
    003104
  11. Stefano Teso@looselycorrect
    This is a great opportunity for anybody interested in a post-doc on #NeSy #AI!
    Pedro @pedrozudo
    The application period for a two year postdoc position in neurosymbolic AI is open for a couple more days (deadline October 21). Here at @orebrouni the right candidate will have the opportunity to work with @lucderaedt and I on some of the big problems in NeSy AI today. 1/N
    008296
  12. Pedro@pedrozudo
    The application period for a two year postdoc position in neurosymbolic AI is open for a couple more days (deadline October 21). Here at @orebrouni the right candidate will have the opportunity to work with @lucderaedt and I on some of the big problems in NeSy AI today. 1/N
    18121.6K
  14. antonio vergari ⚔️@tetraduzione
    we had today @looselycorrect at @InfAtEd giving us a great talk on "The blessing and curse of Concepts in #XAI and #NeSy integration" spanning: - symbols - explanations - interactions - reasoning - shortcuts - alignment - causality - representation - learning !!!
    Pobierz
    26403.8K
  15. Eleonora Giunchiglia@e_giunchiglia
    Want to use your favourite #NeSy model but afraid of the reasoning shortcuts?🫣 Fear not💪🏻In our #NeurIPS2025 paper we show that you just need to equip your favourite NeSy model with prototypical networks and the reasoning shortcuts will be a problem of the past! w/ @GdiGiotto
    Pobierz
    111202.1K
  18. Sara Magliacane hiring PhDs in Saarland@saramagliacane
    #XAI, #neurosymbolic methods #nesy and #causal #representation #learning #CRL care about learning #interpretable #concepts, but in different ways. We are organizing this @iclr_conf workshop to bring these communities together & learn from each other 🦾🔥💥 Deadline: 30 Jan 2026
    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: Looking forward to your submissions!
    05161.9K
  19. 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: Looking forward to your submissions!
    182713.2K
  20. Emanuele Marconato@ema_marconato
    Check out our latest paper @ #UAI2024. 🚀 We introduce BEARS 🐻, a method to detect wrongly learned concepts in #nesy models, due to Reasoning Shortcuts!
    Samuele Bortolotti @samubortolotti
    #NeuroSymbolic #AI 🤖 enforces constraints, but models can achieve high accuracy using wrong concepts. Can we spot when a model relies on flawed concepts and ensure #trustworthiness? Yes, with BEARS! 🐻 📢 Introducing our latest paper, accepted as a spotlight at UAI2024 !🎉📄
    11241.4K
  21. Samuele Bortolotti@samubortolotti
    #NeuroSymbolic #AI 🤖 enforces constraints, but models can achieve high accuracy using wrong concepts. Can we spot when a model relies on flawed concepts and ensure #trustworthiness? Yes, with BEARS! 🐻 📢 Introducing our latest paper, accepted as a spotlight at UAI2024 !🎉📄
    18386.6K
  22. Olivia Wang@oliviawpy2023
    Just by adding the DFA that constraints the reasoning to include the number at least once, it improved the performance. This is a good illustration of how simple rules can significantly improve the performance of LLMs. #Neurosymbolic #Nesy
    Pobierz
    113159
  23. Emanuele Marconato@ema_marconato
    Happy to present at #NeurIPS2025 If you want to know about our latest research on #Nesy AI and #interpretability come and meet us 😉
    Structured Machine Learning Group - Trento @SMLGroup_Trento
    Tomorrow (4/12) at poster session 4 (4.30pm - 7.30pm, poster 1011) @samubortolotti and @ema_marconato are presenting their work on identifiability, concept-based models and reasoning shortcuts;
    03202.6K
  25. William Wang✓@WilliamWangNLP
    🧠💡Neuro-symbolic reasoning for more controllable #AI! NeuPSL unites low-level perception & high-level cognition for powerful, interpretable learning & inference. It's time to embrace the future of #NeSy for a smarter, more interpretable world 🌐🚀
    Pobierz
    Alon Albalak @AlbalakAlon
    Proud to announce that "NeuPSL: Neural Probabilistic Soft Logic" was accepted to @IJCAIconf 2023! 🎉 It was such a blast to work on neuro-symbolic methods, and there is so much room for their applications in deep learning/NLP!
    04225K
  26. Alon Albalak✓@AlbalakAlon
    Proud to announce that "NeuPSL: Neural Probabilistic Soft Logic" was accepted to @IJCAIconf 2023! 🎉 It was such a blast to work on neuro-symbolic methods, and there is so much room for their applications in deep learning/NLP!
    1125712.5K
  27. Vida Groznik@TechVida
    #ESSAI23: Neural Symbolic Computation (NeSy) Course Discover the integration of learning and reasoning in #AI with #NeSy. Join S. Dumančić, R. Manhaeve, and G. Marra for an exclusive course exploring common patterns and untapped research areas. Enroll at
    Pobierz
    06233.7K
  28. Stefano Teso@looselycorrect
    📣 Do #NeSy #AI predictors consistent with prior #knowledge always learn high quality neural #concepts? Our new #NeurIPS2023 paper shows the answer is NO - due to #reasoning #shortcuts! 👋 trustworthiness! 😅 Wanna know more? Check this 🧵 by @ema_marconato!👇
    Emanuele Marconato @ema_marconato
    Using Neuro-Symbolic AI can boost the prediction accuracy... but are you learning the right concepts? 🤖 The answer is very tricky, but it is "no" in general 😱 Introducing our latest paper, accepted at #NeurIPS2023! With @tetraduzione, @andrea_whatever, and @looselycorrect.
    03181.3K
  31. Emanuele Marconato@ema_marconato
    🫕 We've been cooking something this year, and now is served at #NeurIPS2024! rsbench is a set of Neuro-symbolic tasks where learning concepts is hard because of Reasoning Shortcuts. Neural, Concept-based, NeSy, & Foundation models predict PERFECT labels, but WRONG concepts😱
    Samuele Bortolotti @samubortolotti
    📣 Does your model learn sensible #concepts? Test it with our #NeurIPS2024 benchmark! rsbench: A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts @ema_marconato T Carraro @paolo_morettin @EmilevanKrieken @tetraduzione @looselycorrect @andrea_whatever
    34251.9K
  32. Emanuele Marconato@ema_marconato
    @ema_marconato
    People working in #concepts in #XAI and #NeSy, rsbench can help to understand further how models learn concepts: 🫰Easy to use, coming with default settings 👹Generative, can be personalized (more Reasonig Shortcuts) 📊Task/model-level metrics
    105158
  33. Pokaż więcej postów