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.
https://t.co/JI4tIsDT6q
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
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.
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
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
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".
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
📅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! 📧https://t.co/FOBXR9WLqh