Chandan Relekar

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Chandan Relekar

Chandan Relekar

@_chanrt_

Doctoral researcher @MPI_EvolBio Theory. BS-MS Physics @iiscbangalore. Complex Dynamical Systems ⚙️ Bookworm, coder and gamer

Plön, Deutschland 가입일 Şubat 2021
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Chandan Relekar
Chandan Relekar@_chanrt_·
UPDATE: I sent my first PhD application on October 30th. 21 applications, and 6 stressful months later, I've decided to join @MPI_EvolBio for my PhD. I will soon graduate with a BS-MS (in Physics!) from the Indian Institute of Science, Bangalore.
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Yuriy Pichugin
Yuriy Pichugin@ab_in_·
Nine PhD positions are open at Max Planck Institute. Come to work with me on modeling of the origins of organismic complexity at the onset of multicellular life. Application deadline is January 26.
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Chandan Relekar
Chandan Relekar@_chanrt_·
Although I still enjoy browsing through (academic) Twitter, my bluesky handle is (at) chanrt (dot) bsky (dot) social
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Arindam Ghosh
Arindam Ghosh@ArindamPhysics·
Prof Rohini Godbole was much more than a renowned scientist. She was a leader, and a strong advocate of women in science. She was a friend who will be missed. en.m.wikipedia.org/wiki/Rohini_Go…
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César A. Hidalgo
César A. Hidalgo@cesifoti·
I couldn't resist. Since this week seems to be a lot about the boundaries between AI and physics, I couldn't help but notice that economic complexity also seems to fit the mold :-)
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Chandan Relekar
Chandan Relekar@_chanrt_·
@hinduhuman1997 @vishuguttal Coincidentally, I put out an interactive explainer on Hopfield networks just a month ago. I hope this link answers your questions x.com/_chanrt_/statu…
Chandan Relekar@_chanrt_

Despite being a very simple framework, Hopfield networks are capable of learning and recalling patterns. They also feature associative memory, in the sense that they can associate partial/noisy patterns with the learned ones. Interactive visualization: visualize-it.github.io/hopfield_netwo…

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Kartik
Kartik@hinduhuman1997·
@vishuguttal Sorry, neural networks have something called as back propagation where gradients are back-propagated from the last layer to the first layer so that learning can happen. Was wondering if hopfield networks had such a technique too.
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Vishu Guttal !! ವಿಶ್ವೇಶ ಗುತ್ತಲ್
Vishu Guttal !! ವಿಶ್ವೇಶ ಗುತ್ತಲ್@vishuguttal·
In my undergrad, I read the original paper by Hopfield & wrote a code to reproduce some results in my advanced stat physics course. It was a mind-blowing experience and one of the inspirational papers (apart from May 1976 on chaos) to choose theoretical biology for my research.
The Nobel Prize@NobelPrize

This year’s #NobelPrize laureate in physics John Hopfield created an associative memory that can store and reconstruct images and other types of patterns in data. The Hopfield network can store patterns and has a method for recreating them. When the network is given an incomplete or slightly distorted pattern, the method can find the stored pattern that is most similar. Read more about the research that led to this year’s physics prize: bit.ly/3Bi9H8u

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Viraj Torsekar | विराज तोरसेकर
Viraj Torsekar | विराज तोरसेकर@Torsay·
Last week before my class was about to start, a boy student borrowed what he thought was a deodorant from a girl student and sprayed it all over himself. It was a pepper spray. The classroom was unusable for the next 15 mins.
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Rishikesh Gajjala
Rishikesh Gajjala@publishiperishi·
📢📢 I will be on PostDoc job market from Summer 2025!! Grateful for RTs 😇& my CV is here: gajjala.in If you know someone who is hiring and is a good fit, please forward it :) I will also be at #FOCS2024 next month. DM if you are around, would love to catch up👋
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Chandan Relekar
Chandan Relekar@_chanrt_·
Despite being a very simple framework, Hopfield networks are capable of learning and recalling patterns. They also feature associative memory, in the sense that they can associate partial/noisy patterns with the learned ones. Interactive visualization: visualize-it.github.io/hopfield_netwo…
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Chandan Relekar
Chandan Relekar@_chanrt_·
Despite their limitations, Hopfield networks can provide insights about how LLMs may store and retrieve information, and they also try to (simplistically) replicate how the brain probably uses snippets of information to recall large segments of memory from a humungous repository.
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Chandan Relekar
Chandan Relekar@_chanrt_·
The recall phase with a partial/noisy pattern involves tweaking the nodes such that the pattern descends towards a local minima. Thanks to this video by @ArtemKRSV which explains all the math: youtube.com/watch?v=1WPJdA…
YouTube video
YouTube
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Akshay G Jain
Akshay G Jain@Ajain112·
Indian hate on this app is rising a lot. What happened?
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탐색

@praveen2600 @ThePhysicsMemes @hinduhuman1997 @vishuguttal @Torsay @ArtemKRSV @Sourcegraph @SivasubramaniaA