Amine El Ouassouli
@aelouass.bsky.social
CS / DS / ML / AI (whatever it is called now) Ph.D. Engineer. Past: INSA-Lyon, LIRIS.
Main topics: sequential and temporal data, models and, reasoning.
Currently playing with manufacturing data and, interested in RL and Graph DL.
Main topics: sequential and temporal data, models and, reasoning.
Currently playing with manufacturing data and, interested in RL and Graph DL.
Reposted by Amine El Ouassouli
'Bluesky has overtaken its flailing rival X in hosting posts related to new academic research, indicating the platform is fast becoming the go-to place for scholars to share their work.'
X’s dominance ‘over’ as Bluesky becomes new hub for research
Data indicates more scholars turning to alternative social media site to post about their work after Elon Musk’s Twitter takeover
www.timeshighereducation.com
April 9, 2025 at 7:14 AM
'Bluesky has overtaken its flailing rival X in hosting posts related to new academic research, indicating the platform is fast becoming the go-to place for scholars to share their work.'
13 minutes of wisdom.
“No authorities in science”.
Amen to that.
“No authorities in science”.
Amen to that.
www.youtube.com/watch?v=9_Pe... An interview with Rich. The humility of Rich is truly inspiring: "There are no authorities in science". I wish people would listen and live by this.
TURING AWARD WINNER Richard S. Sutton in Conversation with Cam Linke | No Authorities in Science
YouTube video by Amii
www.youtube.com
March 6, 2025 at 10:41 PM
13 minutes of wisdom.
“No authorities in science”.
Amen to that.
“No authorities in science”.
Amen to that.
@jfoerst.bsky.social take on how the community sees the ARC Challenge and how we evaluate models and use benchmarks nowadays is 👌.
#more_science_less_hype (please).
PS: Amazing discussion and good brain food, as usual with MLST.
#more_science_less_hype (please).
PS: Amazing discussion and good brain food, as usual with MLST.
ImageNet Moment for Reinforcement Learning?
YouTube video by Machine Learning Street Talk
www.youtube.com
February 18, 2025 at 7:26 PM
@jfoerst.bsky.social take on how the community sees the ARC Challenge and how we evaluate models and use benchmarks nowadays is 👌.
#more_science_less_hype (please).
PS: Amazing discussion and good brain food, as usual with MLST.
#more_science_less_hype (please).
PS: Amazing discussion and good brain food, as usual with MLST.
I missed this one when it came out but I can tell that it is one of the most useful piece of research I’ve read in a while.
“GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models”
arxiv.org/html/2410.05...
“GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models”
arxiv.org/html/2410.05...
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models
arxiv.org
January 30, 2025 at 6:21 PM
I missed this one when it came out but I can tell that it is one of the most useful piece of research I’ve read in a while.
“GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models”
arxiv.org/html/2410.05...
“GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models”
arxiv.org/html/2410.05...
We really need better brain-power allocation. The current algorithm is kind of turning crazy.
I suspect we’re going to find there is little demand for Operator-like agents that go out on the web and do shopping for you—but huge demand for personal assistants that have read all your email and all your files and can see the 3 tasks you forgot to finish.
January 24, 2025 at 2:26 PM
We really need better brain-power allocation. The current algorithm is kind of turning crazy.
100%
Great to see orgs without any prior involvement with the dev community on here very successfully fundraising for fairly nebulous goals while the entire dev community is paying out-of-pocket for tools all y'all are using daily.
January 16, 2025 at 12:51 PM
100%
The more I read and listen to current debates in the field, the more I’m convinced that we have a model evaluation crisis.
January 16, 2025 at 11:14 AM
The more I read and listen to current debates in the field, the more I’m convinced that we have a model evaluation crisis.
I never understood people going to concerts to spend their time there attending through the tiny screens of their phones.
January 11, 2025 at 10:49 PM
I never understood people going to concerts to spend their time there attending through the tiny screens of their phones.
Is it just me or are we in an Eliza effect pandemic?
January 7, 2025 at 1:45 PM
Is it just me or are we in an Eliza effect pandemic?
Huh, what a year !
Happy new year, everyone ! May it be a better one than 2024 (it’s not that hard, though)
Take care of your loved ones.
Happy new year, everyone ! May it be a better one than 2024 (it’s not that hard, though)
Take care of your loved ones.
December 31, 2024 at 7:46 PM
Huh, what a year !
Happy new year, everyone ! May it be a better one than 2024 (it’s not that hard, though)
Take care of your loved ones.
Happy new year, everyone ! May it be a better one than 2024 (it’s not that hard, though)
Take care of your loved ones.
There is no ultimate benchmark. Having good results on a benchmark means that a model cracked it down. How it cracked it down shows the extent of the progress towards solving the problem=>sometimes cracking a benchmark tells you more that it is not sufficient to measure progress anymore.
December 26, 2024 at 12:32 PM
There is no ultimate benchmark. Having good results on a benchmark means that a model cracked it down. How it cracked it down shows the extent of the progress towards solving the problem=>sometimes cracking a benchmark tells you more that it is not sufficient to measure progress anymore.
🤞🏽
Every year at NeurIPS, I get a sense of where the community is headed. I'm so happy that the era of larger language models on larger datasets is coming to an end.
December 12, 2024 at 9:00 AM
🤞🏽
Definitely a good book. Not a textbook but a good resource for anyone interested in the field and have some math literacy.
Why Machines Learn - The Elegant Math Behind Modern AI
By Anil Ananthaswamy @anilananth.bsky.social - a fantastic, accessible introduction to the math behind AI www.penguinrandomhouse.com/books/677608...
By Anil Ananthaswamy @anilananth.bsky.social - a fantastic, accessible introduction to the math behind AI www.penguinrandomhouse.com/books/677608...
Why Machines Learn by Anil Ananthaswamy: 9780593185742 | PenguinRandomHouse.com: Books
A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions...
www.penguinrandomhouse.com
December 9, 2024 at 5:42 PM
Definitely a good book. Not a textbook but a good resource for anyone interested in the field and have some math literacy.
Reposted by Amine El Ouassouli
An updated intro to reinforcement learning by Kevin Murphy: arxiv.org/abs/2412.05265! Like their books, it covers a lot and is quite up to date with modern approaches. It also is pretty unique in coverage, I don't think a lot of this is synthesized anywhere else yet
Reinforcement Learning: An Overview
This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based RL, policy-gradient methods, model-based met...
arxiv.org
December 9, 2024 at 2:27 PM
An updated intro to reinforcement learning by Kevin Murphy: arxiv.org/abs/2412.05265! Like their books, it covers a lot and is quite up to date with modern approaches. It also is pretty unique in coverage, I don't think a lot of this is synthesized anywhere else yet
I think I've got more interesting insights from here's feed in not even a week than i got from the other place's in more than a year.
November 30, 2024 at 2:54 PM
I think I've got more interesting insights from here's feed in not even a week than i got from the other place's in more than a year.
Reposted by Amine El Ouassouli
The unofficial GIF-based pandas library documentation.
pandas.DataFrame.rolling
pandas.DataFrame.rolling
a panda bear is laying down in the grass .
Alt: a panda bear is rolling down in the grass. It's a side-ways roll, hlding some type of object. I give 10/10.
media.tenor.com
November 27, 2024 at 2:38 PM
The unofficial GIF-based pandas library documentation.
pandas.DataFrame.rolling
pandas.DataFrame.rolling
I just deactivated my X account. Blsky now has exclusivity on my procrastinating scrolling activity.
November 26, 2024 at 9:36 PM
I just deactivated my X account. Blsky now has exclusivity on my procrastinating scrolling activity.