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Gabriel Raya Profile
Gabriel Raya

@gaboraya

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Following
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100

PhD Candidate Machine Learning @TilburgU @TUeindhoven @SonyAI_global MSc Data Science @radboud_uni @radboudumc - Deep Generative Models

Tokyo
Joined May 2014
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@gaboraya
Gabriel Raya
1 year
🚀 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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@gaboraya
Gabriel Raya
2 months
Some examples of memorized, spurious, and generalized states: Top-5 neighbors from training (top) vs. synthetic (bottom). - Memorized: Exact duplicates from the training set. - Spurious: Mixture states, e.g., combining features from memories. Generalized: Novel creation.
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@gaboraya
Gabriel Raya
2 months
@DimaKrotov Amazing Dima! Congratulations! Enjoy!
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@gaboraya
Gabriel Raya
2 months
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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@gaboraya
Gabriel Raya
4 months
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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@gaboraya
Gabriel Raya
4 months
RT @LucaAmb: 1/3) Memorization in diffusion is not a black or white phenomenon. Partial dimensionality loss can be explained by 'glassy' ph…
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@gaboraya
Gabriel Raya
4 months
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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@gaboraya
Gabriel Raya
7 months
Equilibrium, where are you? 🌌⚖️ In search of interesting energy states... credits to : @HenkHuinink
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@gaboraya
Gabriel Raya
8 months
RT @fchollet: There's a big difference between solving a problem from first principles vs applying a solution template you previously memor…
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@gaboraya
Gabriel Raya
9 months
Join us in this exciting research! 🚀 Please share!
@LucaAmb
Luca Ambrogioni
9 months
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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@gaboraya
Gabriel Raya
9 months
RT @LucaAmb: In case you missed it, you should watch @gaboraya presentation on Spontaneous symmetry breaking in generative diffusion models…
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@gaboraya
Gabriel Raya
10 months
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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@gaboraya
Gabriel Raya
10 months
RT @SonyAI_global: New research alert! We're redefining speech enhancement by integrating generative and predictive models, aiming for unma…
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@gaboraya
Gabriel Raya
11 months
RT @__jzhu__: Jiaxin Shi (Google DeepMind, London, UK) @thjashin Stein’s Method for Modern Machine Learning: From Gradient Estimation to…
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@gaboraya
Gabriel Raya
11 months
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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@gaboraya
Gabriel Raya
11 months
RT @LucaAmb: Here is a highly revised version of my tgrory paper on the thermodynamic of diffusion models. It contains a new overview on m…
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@gaboraya
Gabriel Raya
11 months
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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@gaboraya
Gabriel Raya
1 year
RT @LucaAmb: The statistical physics of generative diffusion models is getting hot! As shown in our paper and analyzed here, class separa…
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@gaboraya
Gabriel Raya
1 year
RT @acorralcrm: Statistical-physics quotations: The fundamental principles of statistical mechanics involve, in fact, very profound and di…
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