Christopher Mitcheltree

``'-.,_,.-'``'-.,_ | Interested in modulations. | PhD student @c4dm | Also building @neutone_ai |

[Christopher Mitcheltree @frozenmango]

SCRAPL: Scattering Transform with Random Paths for Machine Learning

I’m excited to share our #ICLR2026 paper on SCRAPL: an algorithm that makes wavelet scattering transforms usable as differentiable loss functions!

paper: https://t.co/D0X4v80P9J
web: https://t.co/l6hc0zos5e

[neutone @neutone_ai]

Say hello to Project LYDIA Phase II!

Developed in partnership with our friends at Roland Future Design Lab @RolandGlobal, we're proud to announce the next step in our journey towards neural hardware.

Article: https://t.co/kmKsghZ3Ld

[neutone @neutone_ai]

Friends! We are attending #Superbooth 2026 in Berlin, May 7th-9th.

Join us at the @MyRoland booth for some hands-on time with Project LYDIA and a special preview of our upcoming product.👀

[Christopher Mitcheltree @frozenmango]

I’m at ICLR in Rio 🇧🇷 this week presenting SCRAPL today 15:15 - 17:45 at poster session 2, pavilion 3, #515. Come find me to chat about audio, wavelets, and optimization. 🌊 I’m always happy to grab a coffee so feel free to DM / email too!

[Christopher Mitcheltree @frozenmango]

SCRAPL: Scattering Transform with Random Paths for Machine Learning

I’m excited to share our #ICLR2026 paper on SCRAPL: an algorithm that makes wavelet scattering transforms usable as differentiable loss functions!

paper: https://t.co/D0X4v80P9J
web: https://t.co/l6hc0zos5e

[Christopher Mitcheltree @frozenmango]

Lastly, a huge thank you to my collaborators Vincent Lostanlen (@lostanlen), Emmanouil Benetos (@emmanouilb), and Mathieu Lagrange (@lagrangResearch), without whom this project would not have been possible! 9/9

[Christopher Mitcheltree @frozenmango]

SCRAPL: Scattering Transform with Random Paths for Machine Learning

I’m excited to share our #ICLR2026 paper on SCRAPL: an algorithm that makes wavelet scattering transforms usable as differentiable loss functions!

paper: https://t.co/D0X4v80P9J
web: https://t.co/l6hc0zos5e

[Christopher Mitcheltree @frozenmango]

SCRAPL for the JTFS in PyTorch is available now as a Python package (`pip install scrapl-loss`) and we provide open source code, experiments, and listening samples: https://t.co/H9aPpbiPpi 8/9

[Nao Tokui/徳井直生 @naotokui]

Neutone、ついにハードウェア化しました！ @neutone_ai

昨日、Rolandさんと新プロジェクト Project LYDIA を発表。AIモデルを学習して載せられる DIYエフェクトボックス です。Morphoのリアルタイム音色変換を搭載し、AIを“触れる楽器”に!

Roland Future Design Labの皆さんに感謝します。

[Andrew Fyfe @_Andrew_Fyfe]

New VST3/AU plugin drop to kick off the week! 🚀

Stable Audio Open Small by @StabilityAI
Demucs stem separation
LoopGAN for generating audio loops
Many more models to come

All running locally on-device!

Opensource SDK and free plugin, enjoy!

https://t.co/ndSnXbcA96

[Christopher Mitcheltree @frozenmango]

Check out the paper, plugins, and code for more details, and join the Discord server to stay up to date. Finally, a huge thank you to my collaborators at Neutone for the amazing work they’re doing!

[Christopher Mitcheltree @frozenmango]

Neutone SDK: An Open Source Framework for Neural Audio Processing

We’ve finally published a paper for the Neutone SDK which I presented at AES AIMLA 2025 a few weeks ago!

arXiv: https://t.co/Vj4opVDyr4
code: https://t.co/L5E3J5Cb9g
discord: https://t.co/s2OfqjyxCh

@neutone_ai

[Christopher Mitcheltree @frozenmango]

At a time when many AI companies are competing with artists and training on their work without permission, the SDK democratizes this technology and provides a foundation for AI tools that enhance rather than replace human creativity.
https://t.co/aClnV72fY0
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