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Eran Malach

@emalach.bsky.social

505 followers 83 following 2 posts

Research Fellow @ Kempner Institute, Harvard University Theory of Deep Learning / Learning of Deep Theory

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Reposted by Eran Malach

David Alvarez-Melis @dmelis.bsky.social · 11/04/2025

In our newest work (led by the amazing @sunnytqin.bsky.social , w/ @emalach.bsky.social, Samy Jelassi), we investigate a core question for LLMs: "𝑡𝑜 𝑏𝑎𝑐𝑘𝑡𝑟𝑎𝑐𝑘 𝑜𝑟 𝑛𝑜𝑡 𝑡𝑜 𝑏𝑎𝑐𝑘𝑡𝑟𝑎𝑐𝑘" in two prototypical logic-heavy puzzles: CountDown and Sudoku.

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Eran Malach @emalach.bsky.social · 12/12/2024

Will be presenting this work at #NeurIPS2024, today 11am, poster #2311. Come visit us!

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Eran Malach @emalach.bsky.social · 09/12/2024

Heading to NeurIPS tomorrow ✈️ Will be presenting a few papers during the week. Ping me if you want to chat!

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Reposted by Eran Malach

Ben Edelman @benedelman.bsky.social · 02/12/2024

I defended my PhD dissertation back in May. I didn't have time to share it widely then (newborn baby), but I think some of you might enjoy it, especially the opening chapters: benjaminedelman.com/assets/disse...

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Reposted by Eran Malach

Quanquan Gu @quanquangu.bsky.social · 22/11/2024

Just put together a starter pack for Deep Learning Theory. Let me know if you'd like to be included or suggest someone to add to the list! go.bsky.app/2qnppia

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Reposted by Eran Malach

David Brandfonbrener @brandfonbrener.bsky.social · 21/11/2024

How does test loss change as we change the training data? And how does this interact with scaling laws? We propose a methodology to approach these questions by showing that we can predict the performance across datasets and losses with simple shifted power law fits.

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