Sai Tedla

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Sai Tedla

Sai Tedla

@tedlasai

PhD student doing computational photography @YorkUniversity with Michael Brown.

Toronto, Ontario 가입일 Haziran 2015
218 팔로잉206 팔로워
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Siddharth Somasundaram
Siddharth Somasundaram@sidartsoma·
I’m excited to share our Nature paper on seeing around corners with consumer LiDARs! We show that consumer LiDAR sensors — in your smartphones, AR headsets, self-driving cars, and robots — can be used to see objects hidden around corners. youtube.com/watch?v=N3LEhh…
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Anagh Malik
Anagh Malik@anagh_malik·
📢📢📢 Velox 🚀: Learning Representations of 4D Geometry and Appearance In our #CVPR2026 paper, we introduce a method for learning a native 4D representation, useful for many downstream tasks, such as video-to-4D, 3D tracking, cloth simulation, and others! 🌐: apple.github.io/ml-velox 📝: arxiv.org/abs/2605.04527
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Geoff Penington
Geoff Penington@quantum_geoff·
@tedlasai No that doesn’t work because the information you receive is not rotated in the same way: if your first guess is 100 rather than 50 then you don’t learn anything from being told the number is lower
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Geoff Penington
Geoff Penington@quantum_geoff·
He is wrong on both counts here. It’s easy to check that if Ballmer picks randomly, binary search will give an expected payoff of $0.20. Of course, if he knows your strategy he can choose a number that you will never pick in the first six turns and thereby win 1/
andrew engler@aerockrose

Steve Ballmer reveals the interview test Microsoft used to separate problem-solvers from gamblers: "I'm thinking of a number between 1 and 100. First guess, I give you $5. Then $4, $3, $2, $1. After that, you pay me." "There are far more numbers on which you lose than win."

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Sai Tedla
Sai Tedla@tedlasai·
@quantum_geoff I think you can just rotate the numbers by a random fixed offset in your head. And do binary search on that. This would then bring the expected payoff to 0.2 as now its not guaranteed he would be picking a 6th/7th level node.
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Geoff Penington
Geoff Penington@quantum_geoff·
But with a bit more work you can find an ensemble of strategies (think binary search with noisy guesses) where every fixed choice he might make has positive expected payoff (across strategies). So the Nash equilibrium has a positive payoff and you should always play
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Sai Tedla
Sai Tedla@tedlasai·
@KostasPenn @CSProfKGD @tunahansalih Awesome :) Your wonderful advice is with me to this day. I would be honoured to visit, but it may be challenging for me to make it on this current trip. Sorry for the miscommunication, I meant to say to @CSProfKGD to put me in touch for next time 😅 My sincere apologies
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Sai Tedla
Sai Tedla@tedlasai·
I will be presenting "Generative Re-Photography with Video Models" at several places over the next month. Hit me up if you are around! MIT Media Lab-Apr 1 Harvard-Apr 2 MIT CSAIL-Apr 7 Cornell Tech-Apr 9 Princeton-Apr 10 CMU-Apr 13 Stanford-Apr 24 Berkeley-Apr 28
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Sai Tedla
Sai Tedla@tedlasai·
@CSProfKGD @tunahansalih True true :) So many places I'd like to see haha, you'll have to introduce me next time I visit the area.
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Sai Tedla
Sai Tedla@tedlasai·
@StivenTria46600 I plan to record a few of them, and post those. It’s the same talk each time though 😉
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