@packquickly

PhD student @Oxford and very slow ultrarunner :)

 Oxford/Malta
packquickly.com
Joined April 2023
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  • Followers168
9Media
Looking forward to presenting this work at #NeurIPS2024 ! Come find us on Thursday from 11-2 @ West Ballroom A-D #6907
Ben Walker
@benjaminwalker9 Nov 2024
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-Walker/s… 🧵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...

arxiv.org
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My first PhD paper!🎉We learn *diffusion* models for code generation that learn to directly *edit* syntax trees of programs. The result is a system that can incrementally write code, see the execution output, and debug it. 🧵1/n
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Keith
@keithdunn22 Mar 2024
Jasmin Paris @JasminKParis finished loop five of the #BM100 in 59:58:21.
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CDT student @packquickly has been working on open-source software with Google that is now available via github.com/google/lineax. Lineax is a JAX library for fast linear solves and least squares. 1/2

GitHub - patrick-kidger/lineax: Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax

Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax - patrick-kidger/lineax

github.com
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🌟Announcing "Lineax" - our newest #JAX library! For fast linear solves and least squares. GitHub: github.com/google/lineax * Fast compile time * Fast runtime * Efficient new algorithms (e.g. QR) + existing ones (GMRES, LU, SVD, ...) * Support for general linear operators🔥 1/
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Candice@runcandice24 May 2023
Day 200 / 6,436 miles / 32 miles a day “I’m pretty tired… I think I’ll go home now” —Forrest Gump – at Boulder, CO
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llvm.org@llvmorg17 May 2023
LLVM 16.0.4 has been released! Full details: discourse.llvm.org/t/16-0-4-…

About the LLDB category

LLDB is a next generation, high-performance debugger. It is the default debugger in Xcode on macOS and supports debugging C, Objective-C and C++ on the desktop and iOS devices and simulator. To...

discourse.llvm.org
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Tristan Hume@trishume13 May 2023
These posts on using clever tricks to automatically generate really fast interpreters and baseline JITs from simple C++ functions is really neat. It's like Truffle/Graal but way simpler: sillycross.github.io/2022/11…

Building the fastest Lua interpreter.. automatically!

This is Part 1 of a series of posts. Part 2 is available here: Building a baseline JIT for Lua automatically It is well-known that writing a good VM for a dynamic language is never an easy job. High

sillycross.github.io
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