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Gabriel Raya
@gaboraya
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PhD Candidate Machine Learning @TilburgU @TUeindhoven @SonyAI_global MSc Data Science @radboud_uni @radboudumc - Deep Generative Models
Tokyo
Joined May 2014
🚀 Excited to present our work on "Spontaneous Symmetry Breaking in Generative Diffusion Models" tomorrow at @NeurIPSConf #NeurIPS2023 with @LucaAmb 📍 Location: Great Hall & Hall B1+B2 (level 1), #533 ⏰ Time: Thu 14 Dec, 10:45 a.m. - 12:45 p.m. 📄
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RT @DimaKrotov: Most of the work on Dense Associative Memory (DenseAM) thus far has focused on the regime when the amount of data (number o…
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RT @DimaKrotov: There has been many discussions around Hopfield Networks of associative memory in the past couple of weeks. But what are th…
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RT @DimaKrotov: Given today’s great news from the #NobelPrize2024, I want to share a couple of personal thoughts on Hopfield Networks. Thi…
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Equilibrium, where are you? 🌌⚖️ In search of interesting energy states... credits to : @HenkHuinink
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Join us in this exciting research! 🚀 Please share!
Job alert! I am looking for a talented PhD student to do research on generative diffusion and its connections to statistical physics and memory. Feel free to send me a PM if you need more info! You can apply here: Otherwise, please retweet!
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RT @fermatslibrary: "Nobody else took what I was doing seriously, so nobody would want to work with me. I was thought to be a bit eccentric…
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RT @SonyAI_global: New research alert! We're redefining speech enhancement by integrating generative and predictive models, aiming for unma…
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RT @DaniloJRezende: 💯 Scientific discovery is about at the tails of existing knowledge/data, machine learning is about the bulk of the exis…
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RT @wellingmax: Like to work on cutting edge generative AI using physics tools such as the Renormalization Group, with the briliant mathema…
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RT @acorralcrm: Statistical-physics quotations: The fundamental principles of statistical mechanics involve, in fact, very profound and di…
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