Giovanni S. Alberti

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

[Giovanni S. Alberti @GSAlberti]

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!

[Giovanni S. Alberti @GSAlberti]

📢 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.

https://t.co/JI4tIsDT6q

[Giovanni S. Alberti @GSAlberti]

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

https://t.co/dO7nBKfkdR

[Giovanni S. Alberti @GSAlberti]

I am very happy to share that this work has just been published in SIAM Journal on Applied Mathematics!

https://t.co/8FGKZCrzNi

[Giovanni S. Alberti @GSAlberti]

New paper on #machinelearning for #inverseproblems: we show that sampling methods for inclusion detection are neural networks, and can be learned!

Joint work with Shiwei Sun

@malga_center, @UniGenova

[Giovanni S. Alberti @GSAlberti]

Paper: https://t.co/juIwBCLEw0

Funded by: @ERC_Research, @ItaliaDomaniGov, #INdAM

[Giovanni S. Alberti @GSAlberti]

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

[Giovanni S. Alberti @GSAlberti]

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.

[Giovanni S. Alberti @GSAlberti]

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

[Università di Genova @UniGenova]

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
ℹ️https://t.co/9AexePsmeE
#UniGe #UniGenova #TomasoPoggio

[Matteo Santacesaria @matsanta]

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

[arXiv math.FA Functional Analysis @mathFAbot]

Giovanni S. Alberti, Alessandro Felisi, Matteo Santacesaria, S. Ivan Trapasso: Compressed sensing for inverse problems II: applications to deconvolution, source recovery, and MRI https://t.co/ds7Fk0Bit6 https://t.co/i7ijo7I0Go

[Giovanni S. Alberti @GSAlberti]

In effetti, un'intelligenza artificiale affidabile deve saper dire "Non lo so"

https://t.co/pVmpRAA8n0

[Roberto Burioni @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".

[Giovanni S. Alberti @GSAlberti]

Talk on super-resolution in inverse scattering, with @rom1petit and @matsanta

Slides: https://t.co/QP2FVgov3K

Funded by @ERC_Research

@malga_center @UniGenova

[Giovanni S. Alberti @GSAlberti]

Nice to be at @NYUAbuDhabi for the #AIMSConference2024

@AIM_Sciences

[Giovanni S. Alberti @GSAlberti]

Just to be clear

[Giovanni S. Alberti @GSAlberti]

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: https://t.co/vXgOO7FkLS

[MaLGa @malga_center]

📅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

[MaLGa @malga_center]

🚨Interested in a #postdoc in Hierarchical Methods for Human Motion Understanding and Anticipation at #malga_center? Reach out to us by Dec 20! 📧https://t.co/FOBXR9WLqh