Professor of Mathematical Analysis @malga_center, @UniGenova. Previously at ETH Zurich, École Normale Supérieure Paris, Oxford University.

Joined July 2012
66 Photos and videos
Giovanni S. Alberti retweeted
Diffusion models have a fundamental flaw: when trained on real-world noisy data, they just learn to perfectly generate that exact noise. We found a way to fix it. Introducing Manifold Attracted Diffusion (MAD), accepted at ICML 2026 🧵
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📢 I’m happy to share that an interview about my research and academic journey has just been published in the @euromathsoc Magazine! This interview is part of a series in which @ERC_Research grantees are asked about their experiences and research. ems.press/journals/mag/artic…
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We discussed various aspects of my work, with a special focus on my ERC project, as well as some broader reflections on applied mathematics and academic training. Many thanks to @mt_wolfram and Marc E. Pfetsch for a very engaging discussion!
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I will give a talk on constraints for solutions to PDEs at the International Zoom Inverse Problems Seminar on 📅 Thursday 9th ⌚️ 6pm CEST, 12pm EDT, 9am PDT sites.uci.edu/inverse/

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New preprint "A convex lifting approach for the Calderón problem", by @GSAlberti, @rom1petit and @SimoneSanna1893
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By lifting the product q(x)u(x) as a rank one operator, it is possible to write the inverse problem as a linear problem. We show that, if a non-degenerate source condition holds, the proposed convex problem has a unique solution that is the sought-after coefficient.
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Very interesting training day for #erc grants at @LaStatale, thanks @ERC_Research @apre_it
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Giovanni S. Alberti retweeted
🧵 Excited to share our new preprint on learning optimal regularizers for inverse problems! With @GSAlberti, EDeVito, THelin, MLassas, LRatti
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Giovanni S. Alberti retweeted
Giovanni S. Alberti, Alessandro Felisi, Matteo Santacesaria, S. Ivan Trapasso: Compressed sensing for inverse problems II: applications to deconvolution, source recovery, and MRI arxiv.org/abs/2501.01929 arxiv.org/pdf/2501.01929

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In effetti, un'intelligenza artificiale affidabile deve saper dire "Non lo so" arxiv.org/abs/2408.02357
Replying to @RobertoBurioni
PS: ho fatto una cosa semplice, ho posto una domanda difficile a Grok. Mi ha risposto in modo errato, ma credibile. Ho detto che era sbagliato, ha fornito una seconda risposta credibileed errata. Una persona intelligente mi avrebbe risposto subito "non lo so".
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Talk on super-resolution in inverse scattering, with @rom1petit and @matsanta Slides: giovannisalberti.github.io/t… Funded by @ERC_Research @malga_center @UniGenova
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Today I am giving an online talk on learning (simple) regularizers for inverse problems for the Data-Enabled Science Seminar, @UHouston 18:45 CET, 11:45 local time Slides: giovannisalberti.github.io/t…
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Just to be clear
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Giovanni S. Alberti retweeted
5 Dec 2024
📅Today 5 PM 📍Accademia Ligure di Scienze e Lettere 🎙@AgneseSeminara @UniGenova "#AI to Decode Animal Behavior in Unpredictable Physical Environments" (Italian🇮🇹) explores how #reinforcementlearning helps understand how animals navigate turbulent environments using sensory cues
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