
Parikshit Ram
@p_ram_p
TL;DR
ID: 1456331121483030535
https://rithram.github.io 04-11-2021 18:43:36
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In our #ICML2023 work, Dmitry Krotov, Mohammed J Zaki, Parikshit Ram, and I uncover a novel connection between Dense Associative Memory dynamics and the inherent discrete assignment to propose an unconstrained continuous relaxation of the discrete clustering problem (ClAM).


I am excited to announce Associative Memory & Hopfield Networks Workshop NeurIPS Conference 2023! We have a stellar lineup of invited speakers. The call for contributed papers is now open. See you in New Orleans! Website: amhn.vizhub.ai Submission: openreview.net/group?id=NeurI…


Check out this amazing interactive demo of Associative Memory by Ben Hoover and Hendrik S (find me in blueksy) 👏👏 There is also a mathematical explanation of the underlying mechanics amhn.vizhub.ai/demo/#demo-ana…


The CfP for our NeurIPS Conference Workshop on Associative Memory & Hopfield Networks is out! The deadline is Sep 29th! Details: amhn.vizhub.ai/cfp/ Speakers: John Hopfield Dmitry Krotov Sepp Hochreiter Carlo Lucibello Krzysztof Choromanski FieteGroup MIT-IBM Watson AI Lab Harvard University IBM Research


Excited to share the schedule for our NeurIPS Conference AMHN workshop at #NeurIPS2023: amhn.vizhub.ai/#schedule Please consider submitting your latest & greatest (new work, NeurIPS, AAAI, ICLR, etc): CfP amhn.vizhub.ai/cfp Deadline Oct 6 (AoE) Submissions openreview.net/group?id=NeurI…



It was a great honor to organize this workshop and have John Hopfield himself (and Dmitry Krotov ) share their thoughts and insights.





Ben Hoover, Parikshit Ram, Bao Pham, and I prepared a Tutorial on Associative Memory for ICML Conference, which we will present next week. (Hopefully) an approachable introduction to the field for the newcomers with hands-on notebooks and some suggested problem sets. In the next few days


There is obviously way more to Associative Memory than can fit in this thread On July 14 Dmitry Krotov Parikshit Ram and I will present a tutorial at #ICML2025 on what we've learned about AMs Join if you want to be convinced that AI needs physics to reach its full potential 🤙

Our recent preprint gives a gist of what we hope to cover 📜arxiv.org/abs/2507.06211 We also have an accompanying website with code examples. Still under construction 🙈. Will post updates over the next few days! 🖥️ tutorial.amemory.net With Dmitry Krotov Parikshit Ram Bao Pham

🚨 Excited to attend #ICML2025 and share our latest work (OPTML @MSU) on LLM unlearning -- think of it as AI surgery: removing harmful knowledge while preserving general utility. Catch us at: 🔹 [Paper 1] Tues, July 15 @ 4:30pm PT | E-1108 📄 Invariance Makes LLM Unlearning