Ratul Mukhopadhyay @ratulmukh
Current interests - Deep_learning/GPU/performance/architecture. RTs for information dissemination only; not endorsements. Joined January 2015-
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6 incredible resources developed by top universities to help you become a proficient academic writer — totally free:
1/ You can't train GPT-3 on a single GPU, much less tune its hyperparameters (HPs). But what if I tell you… …you *can* tune its HPs on a single GPU thanks to new theoretical advances? paper arxiv.org/abs/2203.03466 code github.com/microsoft/mup blog microsoft.com/en-us/research…
I was asked in research where intuition of a fundamental idea may come from. Well, like solving a jigsaw puzzle, after you have seen enough pieces, you intuition starts to see the big picture... the key is, without the hard work with the early pieces, intuition will never come.
Frustrating interaction with @coinbase support. They want me to confirm personal data for regulatory purposes. Yet they refuse to update an incorrect field (citizenship), before I submit the confirmation. Their workaround - delete account and create new one! Ridiculous/shocking!
Kurt Godel broke the foundations of mathematics and got a B grade in school math (otherwise straight As!)
Kurt Godel broke the foundations of mathematics and got a B grade in school math (otherwise straight As!)
Since we are all recording our talks now -- here is a talk that I prepared for the ICRA 2020 Workshop on Machine Learning for Planning and Controls, summarize some of our research on model-based RL, particularly in the context of robotics: youtu.be/ZQZcBSSeUu4
After four years of hard work by our team, I'm really happy to announce Penrose, which is sort of a "TeX for diagrams": type a mathematical expression; get a picture. See the great thread by @hypotext below! penrose.ink/siggraph20.html (Public release coming later this year…!)
Temporary failures are the hardest part when you are optimizing for consistency. You don't necessarily know whether you should wait and retry, or abort because a resource won't be available for a long time. Distributed systems would be easier if you could see the future.
Ramanujan passed away 100 years ago today. With little means or math instruction, he discovered results which Hardy said "must be true, because if they were not true no one would have the imagination to invent them." I wrote a poem about how math brought these two together. Enjoy
New paper on *Supervised Contrastive Learning*: arxiv.org/abs/2004.11362 A new loss function to train supervised deep networks, based on contrastive learning! Our new loss performs significantly better than cross-entropy across a range of architectures and data augmentations.
Due to COVID-19 (and by special agreement with Zala Films), individuals and organizations between April 1 and May 19 may access the film Secrets of the Surface: The Mathematical Vision of Maryam Mirzakhani. zalafilms.com/secrets/#page_…
"You know, people think mathematics is complicated. Mathematics is the simple bit. It's the stuff we can understand. It's cats that are complicated". RIP John Conway
Ed Catmull, co-founder of Pixar, on whether he believes in retrospect it was worth doing a PhD: "It's not so much the knowledge, but that you have to push through and do it. That was one of the most valuable processes of my life." #Pixar @siggraph @TheOfficialACM
Just uploaded a video on the Laplacian: youtube.com/watch?v=oEq9RO… If you've heard of the Laplacian and always wondered what it was, or feel like you don't have great intuition for what it means, take a look—we explore how the Laplacian shows up in geometry, physics, & computation.
This was a signature John Conway book: Entertaining, insightful, unusually pedagogical on topics traditionally regarded as difficult and of course filled with pretty pictures.
Can anyone recommend good sources such as books or papers on SSD / FTL internals?
@johncarlosbaez One of my favourite quotes: “The physicists defer only to mathematicians, and the mathematicians defer only to God.” - Leon Lederman, 1988 Nobel Prize in Physics
@BlackHC Have you seen tools like: - iris.ai <- discovery - scite.ai <- citation - scholarcy.com <- paper summarisation - paper-digest.com <- paper summarisation There are some hints that academic workflows could become much more efficient
As a person who is working in Robotics but has no academic training in Robotics, I found this "Modern Robotics" course is super interesting: coursera.org/specialization… You also need the book: hades.mech.northwestern.edu/index.php/Mode…

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