Open-source Python library for wavelet scattering transforms.
École normale supérieure, Pari
Joined November 2018
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- Following56
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Kymatio retweeted
The Music Cognition Group is excited to welcome Dr. @lostanlen for a captivating talk on music signal processing next week @UvA_Amsterdam. Really glad our connection from Timbre 2023 has evolved into collaboration! Check out the poster for more details! #musicscience
Kymatio retweeted
#ISMIR2023 final credits
Gotta hand it to @cyrusasfa and @frozenmango for turning ten years of research on time–frequency scattering into a series of Colab notebooks that anyone can use.
Thanks to all the attendees. I was very pleased with the turnout, up until 6pm!
Kymatio retweeted
If you're attending ISMIR and curious about wavelet transforms applied to audio, come check out our tutorial on Sunday afternoon! 🌊🌊🌊
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Kymatio retweeted
"Mesostructures: Beyond Spectrogram Loss in Differentiable Time–Frequency Analysis" is out!
with @cyrusasfa, Han Han, @Tsingmoon, Mathieu Lagrange, and Gÿorgy Fazekas
made with @KymatioWavelets
ALT Loss surfaces
The JAES special issue has been published! I'm honored by working with great DAFx researchers as a guest editor.
Special Issue on New Trends in Audio Effects II
aes.org/journal/online/JAES_…
Kymatio retweeted
PhD for hire!
"Theory and implementation of multi-resolution neural networks"
with applications to #audio #AI
at @LaboLS2N (Nantes🦀)
in partnership with @ari_oeaw (Vienna 🎻)
duration: 3 years
funding: @AgenceRecherche
start date: negotiable
audio.ls2n.fr/2023/07/11/phd…
ALT A minimalist approach to raw audio encoding.
At #ISMIR2023? Join our tutorial
"Deep Learning meets Wavelet Theory for Music Signal Processing"
by @cyrusasfa, @lostanlen, and Ch. Micheltree
ismir2023.ismir.net/tutorial…
On Sunday, Nov. 5, afternoon 🌊
Two papers from @LaboLS2N at @CentraleNantes presented today at two different events!
Eco-acoustics with Scattering1D and k-determinantal point processes 🐦🦗🦜
gretsi.fr/data/colloque/pdf/…
Differentiable time-frequency scattering on GPU 🎤🎛️🔊
cyrusvahidi.github.io/jtfs-g…
Today in @KymatioWavelets news
* Mohamed Outidrarine and Pierre Baudet present k-determinantal point processes for eco-acoustic exploration at #gretsi22 (Nancy, FR)
* Han Han, @cyrus_vahidi, and @Tsingmoon get best paper award for differentiable JTFS at #dafx22 (Vienna, AT)
Thanks to all our contributors!
@meickenberg @lostanlen @cyrus_vahidi @Tsingmoon @ScatteringSepoy @PhilipWarrick and many more not on Twitter
Joint Time Frequency Scattering is just around the corner 👀
xitter.gq/cyrus_vahidi/status/15…
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Kymatio retweeted
I am looking for a PhD student in MIR! 🎓
to work on self-supervised learning in multitrack music
You will be employed by @Deezer Research
co-advised by R. Hennequin + me
based in Paris 🪗 and visiting my lab in Nantes 🦀
Start: Dec. 2022☃️ or later
deezerjobs.com/fr/postes/pos…
Kymatio retweeted
I'm excited to share a paper on parametric scattering networks, accepted as an oral spotlight to #CVPR2022!
Work led by Shanel Gauthier & @benjamintherien w/ Laurent @ScatteringSepoy @irinarish @ebelilov @meickenberg & the @mrguywolf
Paper @CVPR 👉🏾 openaccess.thecvf.com/conten…
1/N
Benchmarks are then vital to know the runtime of our implementations, or how much our changes and cool new abstractions impact speed (if any).
Benchmarks could help to prioritize certain changes, identify possible slowdown, or give maintainers peace of mind. 3/4