Stefan Blücher

PhD @ml_tuberlin and @bifoldberlin
Physics graduate • Explainable AI • Kernel learning

[BIFOLD @bifoldberlin]

Join BIFOLD as a doctoral student in our Graduate School. Apply until February 03, 2025. Job ID: https://t.co/ef7jCHXaz6

#jobvacancy #jobalert #ScienceJob #AI #research #Berlin

[Oliver Eberle @eberleoliver.bsky.social @EberleOliver]

Our work on historical insights at scale using machine learning is now out in @ScienceAdvances! Very proud of this team effort, bridging disciplines and institutions—@MPIWG @TUBerlin @bifoldberlin @ml_tuberlin

📜https://t.co/pLWBmCa2W5

[BIFOLD @bifoldberlin]

#Job for #PhDCandidates: Develope and implement #XAI methods for ML models in Quantum Chemistry.

BIFOLD is seeking a Research Associate in #ML for a project supervised by Dr. Stefan Chmiela and Dr. Shinichi Nakajima.

Apply by 7th Nov '24

https://t.co/M0c06xf79E

@ml_tuberlin

[Nils Strodthoff @nstrodt]

I have two vacant PhD positions in my group:
🏃 Machine Learning for Activity Trajectories https://t.co/lK3BTSGdfY (Deadline Oct 20)
🧪 Machine learning for Medical Diagnostics https://t.co/Z0YYUMm2C4 (Deadline Oct 31)
Looking forward to your applications!

[Julius Hense @hense96]

✨ Our xMIL paper has been accepted at #NeurIPS2024 ✨

arXiv preprint: https://t.co/bi1fbKo73I

[Konrad Rieck 🌈 @mlsec]

🚀Last-minute check-in to an academic career?

We're seeking a PhD student to research the security and privacy of generative AI. Fully funded position in vibrant Berlin!

Deadline is this Friday, September 20th. Apply now: https://t.co/OlTI5cN0DV
@bifoldberlin @TUBerlin

[Stefan Blücher @sbluecher]

@3blue1brown @jvielhaben @nstrodt
This nicely algins with our MCD paper, in which we also focus on measuring angles between mult-dimensional spaces.

https://t.co/UNxmREn4Xz

[ML Group, TU Berlin @ml_tuberlin]

🔊 New publication in @TmlrOrg

Decoupling Pixel Flipping and Occlusion Strategy for Consistent #XAI Benchmarks, by @sbluecher @jvielhaben and @nstrodt together with @bifoldberlin and @FraunhoferHHI 🙏🏼

#MachineLearning #AI

[Stefan Blücher @sbluecher]

Greatful to be published @TmlrOrg.
Thanks to @nstrodt and @jvielhaben for their support.
@bifoldberlin @ml_tuberlin @FraunhoferHHI

[Accepted papers at TMLR @TmlrPub]

Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks

Stefan Bluecher, Johanna Vielhaben, Nils Strodthoff.

Action editor: Wei Liu.

https://t.co/3SYlIwEJoN

#occlusion #features #feature

[Accepted papers at TMLR @TmlrPub]

Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks

Stefan Bluecher, Johanna Vielhaben, Nils Strodthoff.

Action editor: Wei Liu.

https://t.co/3SYlIwEJoN

#occlusion #features #feature

[Nils Strodthoff @nstrodt]

Our work on pixel flipping methodologies for #XAI methods got accepted at TMLR. Give our SRG measure a try the next time you benchmark your latest XAI method. Thanks @sbluecher @jvielhaben for the fun collaboration @XAI_Research @FraunhoferHHI @bifoldberlin

[BIFOLD @bifoldberlin]

👩‍🔬Meet some of the BIFOLD researchers of the KI-Schnitzeljagd! Learn about AI while having fun. Don’t miss it!
June 22, 2024
Fraunhofer HHI, Berlin
https://t.co/VlrlswVaUn

#BehindTheScenes #AIResearch #LNDW2

[BIFOLD @bifoldberlin]

Join BIFOLD and Machine Learning Group at @TUBerlin Berlin as a #PhD candidate. Conduct cutting-edge research in deep learning & explainable AI. Apply by June 14, 2024.
https://t.co/u0gQYQndne

@ml_tuberlin

[Stefan Blücher @sbluecher]

Interested in higher-order #XAI Check out my recent package:

https://t.co/OYsLGtwUer

It allows to calculater arbitrary interactions of features for #PredDiff and Shapley values.
@trustworthy_ml @XAI_Research

[BIFOLD @bifoldberlin]

Stefan Blücher is a member of the BIFOLD Graduate School. The next application deadline is closing soon: 26. Jan 2024. https://t.co/3u7HAsavaA
10 open positions
#PhD #ResearchJob #Berlin #ScienceJob
https://t.co/0jFryAMUDP

[Stefan Blücher @sbluecher]

(1) grouping PF setups according to the R-OMS score clusters consistent MIF and LIF rankings.
(2) decoupling reliability and insightfulness of PF benchmarks by combing MIF and LIF into the 'Symmetric Relevance Gap' measure.

[Stefan Blücher @sbluecher]

Faithful attributions are measured by pixel flipping!
But how trustworthy and consistent are the PF benchmarks?

Read our new preprint to learn more!
@nstrodt @jvielhaben

@ml_tuberlin @bifoldberlin @FraunhoferHHI #XAI #diffusion
https://t.co/ULINXpzXq3

[Stefan Blücher @sbluecher]

@KirmizialtinL @GroupTuckerman Very intersting work. You might be interested in our recent work, which offers you the possibility to calculate computationally cheap higher-order attributions (similar to SHAP interactions).
https://t.co/x7zTX5OT4Y

[ML Group, TU Berlin @ml_tuberlin]

🎙️

In todays #PhD seminar @sbluecher and Marco Morik presented their #research on „Assessing what really matters for occlusion-based #XAI“
and „#DiffusionModels for Inverse Problems“

Thanks guys for the interesting talks and discussions!

#MachineLearning

[Stefan Blücher @sbluecher]

Follow our lab to stay tuned for our most recent research highlights! #MachineLearning @bifoldberlin @TUBerlin

[ML Group, TU Berlin @ml_tuberlin]

This is the #MachineLearning Group of Prof. Klaus-Robert Müller at the @TUBerlin. Let’s connect! #ScienceTwitter