Giovanni S. Alberti

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!

📢 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/a…

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/

I am very happy to share that this work has just been published in SIAM Journal on Applied Mathematics! epubs.siam.org/eprint/EKHRVYU…

Paper: arxiv.org/abs/2507.00645 Funded by: @ERC_Research, @ItaliaDomaniGov, #INdAM

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.

New preprint "A convex lifting approach for the Calderón problem", by @GSAlberti, @rom1petit and @SimoneSanna1893

Very interesting training day for #erc grants at @LaStatale, thanks @ERC_Research @apre_it

MaLGa - Machine Learning Genoa Center ospita un seminario di @TomasoPoggio per ripercorrere le tappe fondamentali della ricerca sull'#intelligenzaartificiale da una prospettiva personale. 📌10 marzo 2025, ore 15:00, Genova ℹ️unige.it/news/tomaso-po… #UniGe #UniGenova #TomasoPoggio

🧵 Excited to share our new preprint on learning optimal regularizers for inverse problems! With @GSAlberti, EDeVito, THelin, MLassas, LRatti

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

In effetti, un'intelligenza artificiale affidabile deve saper dire "Non lo so" arxiv.org/abs/2408.02357

Talk on super-resolution in inverse scattering, with @rom1petit and @matsanta Slides: giovannisalberti.github.io/talks/2024-alb… Funded by @ERC_Research @malga_center @UniGenova

Nice to be at @NYUAbuDhabi for the #AIMSConference2024 @AIM_Sciences

Just to be clear

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/talks/2024-alb…

📅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

🚨Interested in a #postdoc in Hierarchical Methods for Human Motion Understanding and Anticipation at #malga_center? Reach out to us by Dec 20! 📧#post-doctoral-fellow" target="_blank" rel="nofollow noopener">malga.unige.it/open-positions…