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Posts by Kirill Bykov

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San Diego 🇺🇸 or Mexico City 🇲🇽 for #NeurIPS2025? We got you covered either way 😎

On Dec 3rd:
🇲🇽 @dilya.bsky.social present our work on the fragility of Mech Interp in Mexico
🇺🇸 @lkopf.bsky.social present our work on polysemanticity in San Diego

I am not there this year, so I‘ll be cheering from afar!

4 months ago 6 1 0 0
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✈️🇲🇽 Next Wednesday (Dec 3), 1–4 p.m. CST, I’ll be presenting Manipulating Feature Visualizations with Gradient Slingshots at NeurIPS 2025 in Mexico City!

Feature Visualization has long been a staple interpretability tool. Our work shows it’s far from reliable! 🚨

4 months ago 9 4 1 0
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I’m at #NeurIPS in San Diego this week! Come see our poster on feature interpretability. Find @eberleoliver.bsky.social and me at:

🪧Poster Session 1 @ Exhibit Hall C,D,E #1015
Wed 3 Dec, 11 am - 2 pm
🪧Poster @ Mech Interp Workshop
Upper Level Room 30A-E
Sun 7 Dec, 8 am - 5 pm

4 months ago 11 3 1 0

Manipulating Feature Visualizations with Gradient Slingshots
@dilya.bsky.social Marina MC Höhne, Alexander Warnecke @lpirch.bsky.social Klaus-Robert Müller @rieck.mlsec.org @slapuschkin.bsky.social @kirillbykov.bsky.social
👇

4 months ago 4 3 1 0

Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
@lkopf.bsky.social @nfel.bsky.social @kirillbykov.bsky.social @philinelb.bsky.social Anna Hedström, Marina Höhne @eberleoliver.bsky.social
👇

4 months ago 5 2 1 0
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Happy to share that our PRISM paper has been accepted at #NeurIPS2025 🎉

In this work, we introduce a multi-concept feature description framework that can identify and score polysemantic features.

📄 Paper: arxiv.org/abs/2506.15538

#NeurIPS #MechInterp #XAI

7 months ago 30 4 1 3
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🚨New paper 🚨

We are happy to announce that our paper “Deep Learning meets Teleconnections: Improving S2S Predictions for European Winter Weather” has been published at Machine Learning: Earth @ioppublishing.bsky.social

📄 iopscience.iop.org/article/10.1...

💻 github.com/philine-bomm...

8 months ago 4 2 1 0

Thank you!! 😊

8 months ago 1 0 0 0
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Personal news: I have defended my PhD thesis “Explaining Representations in Deep Neural Networks” at @tuberlin.bsky.social with summa cum laude (with distinction).

From August, I’ll start a Postdoc at @tumunich.bsky.social in @eml-munich.bsky.social, focusing on Mechanistic Interpretability ✨

8 months ago 10 0 1 0

Check out our new work! Proud to share what we’ve been up to 👉

10 months ago 3 0 0 0
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I’ll be presenting our work at @neuripsconf.bsky.social in Vancouver! 🎉
Join me this Thursday, December 12th, in East Exhibit Hall A-C, Poster #3107, from 11 a.m. PST to 2 p.m. PST. I'll be discussing our paper “CoSy: Evaluating Textual Explanations of Neurons.”

1 year ago 10 1 1 0
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🔗 Link to the paper: arxiv.org/abs/2405.20331

1 year ago 1 0 1 0
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I am not attending #NeurIPS2024, but I encourage everyone interested in #XAI and #MechInterp to check out our paper on evaluating textual descriptions of neurons!

Join @lkopf.bsky.social, Anna Hedström, and Marina Marie-Claire Höhne on Thu 09.12, 1 p.m. to 4 p.m. CST at East Exhibit Hall A-C #3107!

1 year ago 12 0 1 0

Great! ☺️

Thank you for curating the list!

1 year ago 1 0 0 0
About me Machine Learning PhD Student

Julian, hi 👋! Could you please add me, here is my bio, working in Explainable AI and Concept-based Explainability

kirill-bykov.com

🙌

1 year ago 1 0 1 0

i exclusively consent to my tweets being used for training neural networks. if you are not a neural network, stop reading this immediately

1 year ago 309 39 17 6

Thank you ☺️

1 year ago 0 0 0 0
1 year ago 24 5 17 0
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Oliver, hey! 👋

Could you add me, please?

1 year ago 0 0 1 0