Valentin Charvet retweeted
Missed the Machine Learning in Science conference? Catch the recordings now on our YouTube channel!
youtube.com/playlist?list=PL…
Happy to announce I passed my viva for my thesis "Dimensionless Bayesian Model-Based Reinforcement Learning"
I thank the examiners Dr Christos Anagnostopoulos and Prof Carl Edward Rasmussen for their comments and insightful discussions.
And many thanks to my supervisors @MurraySmithRod @ssteinresearch @bjornsandjensen for all your help and patience during these PhD years, I could not have done it without you.
Valentin Charvet retweeted
Thank you to our speakers, Dr Paul Kirkland (@PaulKirkland87) and Dr Giulia Marcucci (@GiuliasNLWorld), for their fascinating talks today and thanks to all the members of audience as well!
Stay tuned for more talks to follow!
youtube.com/watch?v=QlYuGPda…
Valentin Charvet retweeted
This is the dream team (plus some online that couldn't make it) that made the first ever @MLinScience conference happen. Huge thanks to speakers and poster presenters for presenting their work and the sponsors that helped fund it!
Valentin Charvet retweeted
We hope everyone is enjoying the conference!
Here's a few of the photos we've snapped over the course of the day 📸
Starting the last keynote talk of @MLinScience conference with @MichelBesserve
Valentin Charvet retweeted
Our main talks are split up into three applications of machine learning in science:
• 🏥 Medical Applications
• 🔬 Physics Applications
• 🖥️ Theoretical Machine Learning & Neuroscience
Very excited to see our first conference set up for tomorrow! We are sold out but you can join online from here uofglasgow.zoom.us/j/8801059…
The conference starts in just over 14 hours⌛️ We're looking forward to welcoming you all tomorrow for #mlis22 at @UofGARC!
An outline of the schedule tomorrow with all of our exciting talks: mlisconf.org/schedule.pdf
Valentin Charvet retweeted
👀 Sneak a peek at the deepest & sharpest infrared image of the early universe ever taken — all in a day’s work for the Webb telescope. (Literally, capturing it took less than a day!) This is Webb’s first image released as we begin to #UnfoldTheUniverse: nasa.gov/webbfirstimages/

ALT The background of space is black. Thousands of galaxies appear all across the view. Their shapes and colors vary. Some are various shades of orange, others are white. Most stars appear blue, and are sometimes as large as more distant galaxies that appear next to them. A very bright star is just above and left of center. It has eight bright blue, long diffraction spikes. Between 4 o’clock and 6 o’clock in its spikes are several very bright galaxies. A group of three are in the middle, and two are closer to 4 o’clock. These galaxies are part of the galaxy cluster SMACS 0723, and they are warping the appearances of galaxies seen around them. Long orange arcs appear at left and right toward the center.
Valentin Charvet retweeted
We finally have the first look at our Milky Way black hole, Sagittarius A*. It’s the dawn of a new era of black hole physics. Credit: EHT Collaboration. #OurBlackHole #SgrABlackHole
Link: eventhorizontelescope.org/bl…
Valentin Charvet retweeted
Today in @nature, with @EPFL, the first deep reinforcement learning system that can keep nuclear fusion plasma stable inside its tokamaks, opening new avenues to advance nuclear fusion research.
Paper: dpmd.ai/fusion-paper
Valentin Charvet retweeted
An important intuition about Stochastic Gradient Descent (SGD) is that when you are far from the solutions, individual stochastic gradients will more or less point in the same direction, but at optimum, since their average is 0, they will all point in different directions !
Valentin Charvet retweeted
Great to see the work out at last @gw_hunter ! Well done to Francesco Tonoloni, @CMessengerGW, & Ik Siong Heng! A great collaboration between CS & Physics! @IDAglasgow @GlasgowCS @UofGPhysAstro @QuantIC_QTHub
I'm beyond excited to announce work which was a large part of my thesis has now been published in @NaturePhysics! We show for the first time that a form of #ML can provide estimates on #GW parameters in a fraction of the time of traditional methods.
nature.com/articles/s41567-0…
Valentin Charvet retweeted
Thanks once again to our speakers, @JEinsle and @rory_morrison, for presenting at our first in-person seminar in almost two years!
If you have a university email, the recordings for these talks will soon be available to view online.



























