Pier Luigi Dragotti
@pdragotti
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Professor of Signal Processing at Imperial College London, @imperialeee, interested in computational imaging, sampling theory, ML
Joined June 2023
I was in Valencia last week for IDEAL 2024. In my keynote I spoke about "Inverse Problems in the Age of AI". Slides with pointers to papers+software are here: https://t.co/gdZ7lUHDnF
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The #IEEESSP2025 website is Live! 📢We are delighted to announce that the website for the 2025 IEEE Statistical Signal Processing Workshop (SSP 2025) is now live! More information at https://t.co/HjrJNGzJw1 . Special session and tutorial proposals: Dec. 4th 2024.@IEEEsps @eurasip
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As the author of this PDF, it's been interesting seeing people guess at the rationale behind its design. However, the rationale had nothing to do with theory vs practice, and everything to do with pragmatically coping with an unaccommodated disability in academia. (1/16)
Compilers was was known to be the hardest CS class at Cornell which was hard as it is. We were handed a 8-page PDF at the start of sem for a language spec we'd be implementing by the end of sem, split into 6 parts. On part 5, the median was a 0/100 and most the class failed.
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I have an exciting postdoctoral position @imperialeee on machine learning for Computational Light-field Microscopy. More details here:
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We're recruiting! Looking for a postdoc in a fun and inclusive lab doing cutting edge #CryoEM in a great city? Come join us @imperialcollege and be part of an interdisciplinary team funded by @wellcometrust @ImperialLifeSci
https://t.co/dppEZ6QqI8
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Imaging Seminar with Prof. Pier Luigi Dragotti @pdragotti from @imperialcollege on September 18 on "Model-Based Machine Learning for Inverse Problems in Imaging". More info and registration: https://t.co/pUMl2EIPx7
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Our INDIGO+ paper is now out. We solve blind/non-blind, linear/non-linear image restoration problems using Invertible Neural Networks and diffusion models. The approach is simple, flexible and very effective. Code+paper here:
github.com
Contribute to dy547/indigo_plus development by creating an account on GitHub.
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very happy that Renke Wang @imperialeee won the EURASIP three minute thesis context @eusipco2024. In her thesis she has sharp results and sample complexity bounds on 3D shape reconstruction from tomographic projections at unknown orientation.
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In Lake District for the Seeing through Obscuration symposium where I'll talk about Computational light-field microscopy for volumetric neural activity imaging: https://t.co/gG04mEm990 and https://t.co/9lyVZ8usEj
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Preparing for tomorrow when I'll be at Centre Court for Wimbledon Men's semifinals. Don't worry, I'm just watching, not playing 😉
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On the 11th of July I'll give a IEEE SPS Webinar on invertible neural networks and diffusion models for inverse problems. You can register here if interested: https://t.co/GmLxfrW4SE
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Imperial's great ICRF scheme is open for applications. Rising early career research stars - please consider!
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It is now exactly one year since I embraced the 21st century and joined "twitter". I must say that the experience has been so far mixed. Maybe I'm still not ready for the 21st century 😉
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We are THRILLED to have been ranked 2nd in the world and 1st in the UK and Europe in this year's QS @worlduniranking! 🎊🥳 #QSWUR Thank you to everyone in #OurImperial community for making this result possible! 💙
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Congratulations to my former PhD student Dr Vincent Leung @imperialeee attending graduation day today. Vincent is now post-doc developing new computational methods for Cryo-EM.
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📢 Opening: Junior Professorship position (🇫🇷Chaire de Professeur Junior) @toulouseinp w/ affiliation to @IRIToulouse / @Dynafor_Lab. 💻🌱: Modeling & #MachineLearning for Agroecology Comes w/ an interesting package (e.g., Ph.D funding). +info: https://t.co/VzZe2Skqdj Please RT.
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Congratulations to @BUCollegeofENG's @ProfessorGoyal on being named a 2024 #GuggenheimFellow! “One thing I love about the Guggenheim Fellowship is that it’s an award based on both what you say you plan to do, but also on your track record of creativity." ➡️ https://t.co/qFVZCGSrbZ
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I'm very happy that the special session on "Learning-Based Solutions to Inverse Problems" organized by @caromitreka and Simon Arridge has been accepted for IEEE MLSP 2024. There is still time to submit regular papers
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Fellowship opportunity for ECRs <4y post-PhD. Engineering. 5 year funding. Significant advantage given to people from "underrepresented groups" (see below). Internal deadline of May 6. Comp neuro has done well recently in our dept. Email me if interested. https://t.co/DuuZNRZZm9
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