
@MIT Alum β’ EEE Faculty, Imperial College London @imperialeee. Current work: β’- Inverse Problems β’- Unconventional Sensing/Imaging. (Not so regular on twitter)
London, England
Joined October 2012
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On the SIAM News Blog, Ayush Bhandari explains that the unlimited sensing framework improves upon traditional #digitization by treating #quantization noise errors as data and saving bits by folding signals instead of clipping them. Read more here!
siam.org/publications/siam-nβ¦
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Feels like a passing of the torch between fields. When I was a teenager in the 1980s, after a half-century of monumental progress powered by theoretical physics, most smart high schoolers wanted to do physics. Upon arriving as an undergrad at MIT in 1988, it quickly became clear that the next big thing was computer science.
Congratulations to @geoffreyhinton and John on this honor. Interestingly, I met John Hopfield a long time before I met Geoff. ( In mid 1990s when he invited me to give a guest lecture in his Princeton ugrad class about my algorithm for traveling salesman. )
BREAKING NEWS
The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton βfor foundational discoveries and inventions that enable machine learning with artificial neural networks.β
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Had a great time photographing the #EclipseSolar2024 in Hemmingford, QC today! Totality is surrealβthe sun turns into a black hole and the horizon all around turns crimson. We caught a solar prominence too! (a massive loop of the sun's plasmaβinset below).
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Oldies but goldies: M. Figueiredo, R. Nowak, An EM algorithm for wavelet-based image restoration, 2003. The first appearance of the celebrated Iterative Soft Thresholding Algorithm to solve the lasso. en.wikipedia.org/wiki/Lasso_β¦
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Our team SIERRA, joint between Inria, ENS and CNRS, in downtown Paris, can host such a researcher. If you are interested, please contact me.
di.ens.fr/sierra/people.php
#Jobopening | 2 weeks left to apply to the #ChooseFrance programme of the @CNRS : young researchers working out of France, apply before September, 30th β¬οΈ
ins2i.cnrs.fr/en/cnrsinfo/chβ¦
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I've proven the strangest result of my career..
The classic idea that gradient descent's rate is bestΒ with constant stepsizesΒ 1/L is wrong. The idea that we need stepsizes in (0,2/L) for convergence is wrong.
Periodic long steps are better, provably.
arxiv.org/abs/2307.06324
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Two postdoctoral openings in the general area of computational mathematics, machine learning, and geophysical inverse problems! math.mit.edu/icg/openings/
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This textbook doesn't happen without @jnamatt - vividly remember the pistachio rolls we got at Tatte Bakery with @AB2World
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ICYMI - this is some fantastic work from @AB2World, Tom Poskitt and colleagues at @TU_Muenchen. #SensorTechnology could be about to take a massive leap forward: hubs.ly/H0XMBHW0 #DigitalSensors @imperialeee @ImpEngineering #modulo #digitalsensing
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New textbook alert!
imagingtext.github.io
Thanks @marcusabrubaker for sharing. β at Toronto, Ontario
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I'm giving this free public talk on Thursday, suitable for all ages, so sign up if you're interested in robots and vision!
Join us next week to learn about Robot Vision and Spatial AI with Director of the Dyson Robotics Lab, Professor Andrew Davison (@AjdDavison).
Thursday 24th June, 5pm. Suitable for all ages π€
eventbrite.co.uk/e/robot-visβ¦
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Send your comp imaging abstracts to CVPR CCD by June 7th! With @DaveLindell @talidekel and Emma Alexander.
Join us for the 10th Annual Computational Cameras & Displays (CCD) Workshop at CVPR '21 on June 20th! We have a fantastic series of talks, and poster & spotlight submissions are open until June 7th!
visual.ee.ucla.edu/ccd2021.hβ¦
w/ @AchutaKadambi @talidekel & Emma Alexander
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International Conference on Computational Photography (iccp-conference.org/) just got underway in person in Haifa! The first in-person, post-covid mtg that I am aware of.
Have a look and see what the near future (in imaging and life) will look like!
youtube.com/watch?v=SxISC2O4β¦
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For a PhD student, choosing a good lab is 10 times more important than choosing a particular topic to study
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This is awesome. At @LightOnIO we do something entirely different to deal with high dynamic range but this work by Ayush seems to *rock*.
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Hi all! I'm glad to announce the new release of #deepImageJ. Together with @carlosg91018370, @gomez_mariscal and @DanielSage, we've got an evolved #deepImageJ with exciting new features π€
-#BioImageModelZoo
-#PyTorch
-#3D, #classification, #detection
-#gpu
-#java proccessings
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π Mark your calendar! May 10 | 3.15 pm
We are delighted to host Prof. MichaΓ«l Bronstein @mmbronstein, Professor @ImperialCollege and Head of Graph ML @Twitter, at our next #CISColloquia!
βGeometric Deep Learning: from Euclid to drug designβ
go.epfl.ch/michael
@EPFLevents
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Proud to share our 150-page "proto-book" with @mmbronstein @joanbruna @TacoCohen on geometric DL! Through the lens of symmetries and invariances, we attempt to distill "all you need to build the architectures that are all you need".
geometricdeeplearning.com/
More info below! π§΅
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I have another funded vacancy for a PhD student to work on the topic of #robotic In-Hand-Manipulation & variable-friction grippers at Imperial.
The position is for home students only, which includes EU applicants if they can start before August 2021.
imperial.ac.uk/manipulation-β¦
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6th London Symposium on Information Theory (LSIT) has a very exciting program: imperial.ac.uk/electrical-en⦠Don't forget to register! #informationtheory #coding #machinelearning #privacy #security @ieee_itsoc @imperialeee
































