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Julia Grabinski

@juliagrabinski.bsky.social

Postdoc at Visual Inference Lab, TU Darmstadt

100 Followers  |  148 Following  |  8 Posts  |  Joined: 25.11.2024  |  1.6001

Latest posts by juliagrabinski.bsky.social on Bluesky

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PhD: DONE! βœ… If you are wondering how I feel, just check out these smiling pics. Incredibly thankful and happy! 😊 #PhDLife #PhDConpleted

17.07.2025 18:13 β€” πŸ‘ 13    πŸ” 0    πŸ’¬ 0    πŸ“Œ 1
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a cartoon of a girl using a laptop with the word revising written above her ALT: a cartoon of a girl using a laptop with the word revising written above her

✍️Submitting to the Fast Review Track at GCPR 2025?

Remember, the deadline is just 5 days away: July 1st, 2025, 11:59 CEST!

Perfect for revised versions of your hard work.

We are excited to see your research shine! πŸš€
#GCPR2025

πŸ‘‰ www.dagm-gcpr.de/year/2025/su...

26.06.2025 07:15 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 0    πŸ“Œ 1
DAGM GCPR (Call for Papers)

πŸŒπŸ“– Published a great paper recently? Share it with an even wider audience at GCPR 2025’s Nectar Track! Present your published research, gain recognition, and expand your network! Submission Deadline: July 28, 2025 πŸš€ #ResearchImpact #ComputerVision #MachineLearning
πŸ‘‰ www.dagm-gcpr.de/year/2025/su...

21.05.2025 13:15 β€” πŸ‘ 2    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
DAGM GCPR (Call for Papers)

πŸŒŸπŸ“š DAGM Young Researchers’ Forum: Submission deadline - June 04, 2025! Showcase your thesis, meet experts, and compete for the Best Master’s Thesis Award! πŸš€ #YoungResearchers #MasterThesis πŸ‘‰ www.dagm-gcpr.de/year/2025/su...

19.05.2025 12:28 β€” πŸ‘ 5    πŸ” 6    πŸ’¬ 0    πŸ“Œ 0
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It's a wrap! πŸŽ‰ Thank you @iclr-conf.bsky.social for supporting so many inspiring ideas and thanks Singapore for having me again! πŸ‡ΈπŸ‡¬ #ICLR2025 #MachineLearning #PhDlife

01.05.2025 08:53 β€” πŸ‘ 5    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Post image 24.04.2025 02:50 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Update: thanks @iclr-conf.bsky.social for finding this creative and well working solution ☺️

24.04.2025 02:48 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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The modern way to present a fabric poster @iclr-conf.bsky.social πŸ˜ŽπŸ˜‚

come drop by #74

24.04.2025 02:37 β€” πŸ‘ 7    πŸ” 1    πŸ’¬ 2    πŸ“Œ 0
Abstract of the paper

Abstract of the paper

Our paper "Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?" will be presented at #ICLR2025!
It's also the first paper of my first PhD student, congrats @maximemeloux.bsky.social ! πŸŽ‰

blog: melouxm.github.io/MI-identifia...

An explanatory thread 🧡:

21.04.2025 13:51 β€” πŸ‘ 17    πŸ” 9    πŸ’¬ 1    πŸ“Œ 0
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On Thursday, I'll be presenting our paper "Can We Talk Models Into Seeing the World Differently?" (#328) at ICLR 2025 in Singapore! If you're attending or just around Singapore, l'd love to connectβ€”feel free to reach out! Also, I’m exploring postdoc or industry opportunities–happy to chat!

21.04.2025 10:47 β€” πŸ‘ 4    πŸ” 5    πŸ’¬ 1    πŸ“Œ 1
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GitHub - GeJulia/NIFF Contribute to GeJulia/NIFF development by creating an account on GitHub.

πŸ—“οΈ Thu, Apr 24, 10:00–12:30
πŸ“ Hall 3 + 2B, Poster #74
🧠 Paper: openreview.net/pdf?id=xRy1Y...
πŸ’» Code: github.com/GeJulia/NIFF

Are you around? Come say hi! 😊

21.04.2025 06:45 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Ever wondered how big convolutional filters should really be? πŸ€” We push things to the limit literally. Infinite-size convs, but efficient.
β€œAs Large as It Gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters” at #ICLR2025, Singapore!
#ML #DeepLearning #ComputerVision

21.04.2025 06:44 β€” πŸ‘ 7    πŸ” 3    πŸ’¬ 2    πŸ“Œ 0
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Amid all the super-duper research advances, I am excited to share my video on a super-duper basic topic:

How to sample your signals?

Here we discuss sampling, why aliasing occurs, and how to prevent it. It's fascinating to view this through the lens of frequency analysis. youtu.be/fTJjPGaPsq4

28.02.2025 15:26 β€” πŸ‘ 35    πŸ” 10    πŸ’¬ 1    πŸ“Œ 0
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FrequencyLowCut Pooling - Plug and Play Against Catastrophic Overfitting Over the last years, Convolutional Neural Networks (CNNs) have been the dominating neural architecture in a wide range of computer vision tasks. From an image and signal processing point of view, this...

Really cool video! Maybe our work on aliasing artifacts and robustness link.springer.com/article/10.1... within vision models and how to fix them to link.springer.com/chapter/10.1... might be interesting for you 😊

01.03.2025 08:06 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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πŸ”οΈβ›·οΈ Looking back on a fantastic week full of talks, research discussions, and skiing in the Austrian mountains!

31.01.2025 19:38 β€” πŸ‘ 31    πŸ” 11    πŸ’¬ 0    πŸ“Œ 0
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3. our TMLR Featured Certification "As large as it gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters" - openreview.net/forum?id=xRy... joint work with @juliagrabinski.bsky.social @janiskeuper.bsky.social and @margretkeuper.bsky.social

25.01.2025 15:25 β€” πŸ‘ 3    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0

We will be presenting 3 papers at @iclr-conf.bsky.social :

1. Can we talk models into seeing the world differently?
2. VSTAR: Generative Temporal Nursing for Longer
Dynamic Video Synthesis
3. "As large as it gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters"

25.01.2025 15:25 β€” πŸ‘ 3    πŸ” 4    πŸ’¬ 1    πŸ“Œ 1

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