Ben Walker
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benjamincwalker.bsky.social
Ben Walker
@benjamincwalker.bsky.social
🎓 Machine Learning PhD
🌍 Mathematical Institute, Oxford
📈 Researching Neural Differential Equations & Rough Path Theory
📧 Email: [email protected]
🌐 GitHub: Benjamin-Walker
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Want to know why Mamba beats other state-space models—and where it falls short?

Then check out our #NeurIPS 2024 paper: "Theoretical Foundations of Deep Selective State-Space Models."

🔗 Read the paper: arxiv.org/abs/2402.19047
💻 Access the code: github.com/Benjamin-Walke…

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Theoretical Foundations of Deep Selective State-Space Models
Structured state-space models (SSMs) such as S4, stemming from the seminal work of Gu et al., are gaining popularity as effective approaches for modeling sequential data. Deep SSMs demonstrate outstan...
arxiv.org
Just wrapped up my short course ‘Time Series Modelling: From Foundations to Frontiers’ at the Oxford Internet Institute @oii.ox.ac.uk

Huge thanks to @ammaox.bsky.social for the invitation—had some really engaging discussions!

Looking forward to being back at the OII soon.
March 3, 2025 at 5:54 PM
Sonnet-3.7 has me vibe coding for the first time 🎧💻

Never written html, css, or JavaScript before, but I’ve created the website I’ve always wanted, featuring an optional command line interface ✨

BenWalker.co.uk
February 25, 2025 at 1:57 PM
Looking forward to presenting this work at #NeurIPS2024 !

Come find us on Thursday from 11-2 @ West Ballroom A-D #6907
December 9, 2024 at 11:19 PM
Reposted by Ben Walker
D&D Combinatorics xkcd.com/3015
November 23, 2024 at 12:59 AM
Want to know why Mamba beats other state-space models—and where it falls short?

Then check out our #NeurIPS 2024 paper: "Theoretical Foundations of Deep Selective State-Space Models."

🔗 Read the paper: arxiv.org/abs/2402.19047
💻 Access the code: github.com/Benjamin-Walke…

🧵1/6
Theoretical Foundations of Deep Selective State-Space Models
Structured state-space models (SSMs) such as S4, stemming from the seminal work of Gu et al., are gaining popularity as effective approaches for modeling sequential data. Deep SSMs demonstrate outstan...
arxiv.org
November 23, 2024 at 9:04 AM