I was invited to give this plenary talk at the Electronic Imaging Symposium this past February. The recording is now available on YouTube
www.youtube.com/watch?v=s59U...
@docmilanfar.bsky.social
Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time. http://milanfar.org
I was invited to give this plenary talk at the Electronic Imaging Symposium this past February. The recording is now available on YouTube
www.youtube.com/watch?v=s59U...
Silicon Valley crosswalk buttons have been hacked to hilarious effect
13.04.2025 04:32 β π 25 π 6 π¬ 1 π 2ruined by tariffs
12.04.2025 21:15 β π 14 π 0 π¬ 0 π 0What Iβve learned here is that some will not get it, even if explained in the simplest terms.
12.04.2025 13:49 β π 0 π 0 π¬ 1 π 0it's called "volatility drag" - look it up. and it doesn't need fixed percent. I used a fixed number so it would be easier for people to understand. apparently it wasn't easy enough
12.04.2025 04:06 β π 0 π 0 π¬ 1 π 0Most people don't understand that volatility alone can kill your investments
start with capital P
lose 5% one week: (1-0.05)*P
gain 5% the next week: (1+0.05)*(1-0.05)*P.
repeat the pattern for 1yr (52 weeks):
(1+0.05)^26 *(1-0.05)^26 *P = 0.88P
You lost 12% of your money.
bias-variance tradeoff
11.04.2025 12:00 β π 53 π 5 π¬ 0 π 0It's a cruel irony that those who orchestrated this stock market crash are already insulated from its effects. They will be fine.
The real tragedy is that it's the ordinary person β the retiree, the small investor, the hardworking individual β who will suffer the most.
"That Mr. Musk has come to hold so many of the same beliefs about social engineering and economic planning as his grandfather is a testament to his profound lack of political imagination, to the tenacity of technocracy and to the hubris of Silicon Valley."
www.nytimes.com/2025/04/04/o...
Warning signs you're dealing with a cynic:
* says βthatβll never work...β before any evidence
* often assumes the worst of people
* every interaction is a 0-sum game
* uses criticism to signal competence
2/2
Every profession has its personality types. In my experience the most difficult people to work with are cynics - no matter how talented they may be.
Healthy skepticism is positive and curious. Cynicism is not - it's judgmental. The difference is under-appreciated.
1/2
A wonderful scholar and person, he is. Taught me so much.
04.04.2025 01:45 β π 1 π 0 π¬ 0 π 0Meta has one VP for every 300 employees. Theyβre a dime a dozen.
03.04.2025 06:35 β π 1 π 0 π¬ 0 π 0This tour de force overview by the incomparable Alan Willsky (my former advisor) is well worth reading, and a great reference for anyone studying AR models for generation.
citeseerx.ist.psu.edu/document?rep...
Autoregressive models have become more popular recently. Speaking to people, I get the sense most folks are unaware of the history of the topic in signal processing. In particular, AR across scale got a lot of attention in the 90s. There are a lot of great papers on the subject but one stand outβ¦..
03.04.2025 03:52 β π 47 π 5 π¬ 2 π 0I think the "zero" connotation came before "digit" though. So perhaps arabic inherit that more directly from sanskrit
31.03.2025 18:22 β π 0 π 0 π¬ 0 π 0monsieur le zero
31.03.2025 00:56 β π 1 π 0 π¬ 0 π 0A cipher (or cypher) is an algorithm for performing encryption or decryption - the foundation of all of cryptography research and practice.
Not widely appreciated is that the word cipher has its direct origin in the arabic word Ψ΅ΩΨ± (sifr) meaning zero.
AndΨ΅ΩΨ± itself roots to sanskrit ΰ€Άΰ₯ΰ€¨ΰ₯ΰ€― (ΕΕ«nya)
give this kid a PhD
28.03.2025 03:30 β π 88 π 10 π¬ 1 π 4A man walks into a library and asks whether they have a book on Pavlovβs dog and Schrodingerβs cat. The librarian thinks for a moment and says βit rings a bell, but Iβm not sure if itβs in or notβ
27.03.2025 06:15 β π 23 π 5 π¬ 0 π 0I posted this thread four months ago. To my knowledge not a single one of these 10 basic features has been implemented on this website. It canβt be that hard.
26.03.2025 03:04 β π 5 π 0 π¬ 2 π 0Model Distillation
24.03.2025 03:12 β π 38 π 4 π¬ 0 π 0Bonus: this form is flexible enough to adapt both the length and to different audiences.
n/n
And finally, use the last 5-10 minutes to summarize and talk about what you think are important new directions to pursue in research and how these could have impact for the team and the products of the company, or the department and their areas of interest and growth.
3/n
Second, you can spend the next 20-25 minutes doing a deep dive on just one of them - say, the one you're most proud of, or the one that matches the hiring team/departments interests and needs best.
2/n
First, a short snippet of your overall set of technical accomplishments. For instance, you might spend the first 15 minutes giving short overviews of a few of your works/papers - it's also very good to draw a theme across them if there is one.
1/n
In some ways it's harder than ever to land a research job these days - both in academia and in industry.
As you prepare for a job talk, consider giving it the following structure - it's hard to give a bad talk that's built like this.:
0/n
The Power of Context: How Multimodality Improves Image Super-Resolution
Kangfu Mei, Hossein Talebi, Mojtaba Ardakani, Vishal M. Patel @docmilanfar.bsky.social Mauricio Delbracio
tl;dr: condition SR model on RGB+depth+segmentation (which you can predict from RGB)-> PROFIT
arxiv.org/abs/2503.14503
I had these slides in a deck for a couple of years. For tired of seeing people use SURE to derive Tweedie. Though Iβm sure it will keep happening. π
19.03.2025 00:47 β π 2 π 0 π¬ 1 π 0