Understandable Machine Intelligence Lab @UMI_Lab_AI
Understandable Machine Intelligence Lab: We bring #explainable #AI to the next level. Part of @LeibnizATB, Ex @TUBerlin, funded by @BMBF_Bund #XAI Berlin, Germany Joined November 2020-
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Our latest paper is out! 🚀
Understandable Machine Intelligence Lab retweeted
If you're at #AAAI2025 don't miss our poster today (alignment track)! Paper 📘: arxiv.org/pdf/2502.15403 Code 👩💻: github.com/annahedstroem/… Team work with @eirasf and @Marina_MCV
If you're at #AAAI2025 don't miss our poster today (alignment track)! Paper 📘: arxiv.org/pdf/2502.15403 Code 👩💻: github.com/annahedstroem/… Team work with @eirasf and @Marina_MCV
Understandable Machine Intelligence Lab retweeted
At 12:30 I'll be happy to take questions about our poster presentation at #AAAI2025. Is your explanation for a model's prediction better than the alternatives? "Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution" introduces QGE... 1/4
Understandable Machine Intelligence Lab retweeted
If you’re still @NeurIPSConf and are curious about how evaluation outcomes of interpretability methods can be adversarially attacked? 👉 Sun, 15 Dec, 4 PM (East Ballroom A and B) The Price of Freedom: An Adversarial Attack on Interpretability Evaluation
Understandable Machine Intelligence Lab retweeted
Interested in eval, vision and mechanistic interpretability? Come chat at our @NeurIPSConf poster! #3107 👉 Thu, 12 Dec, 11 AM (East Exhibit Hall A-C) CoSy: Evaluating Textual Explanations of Neurons openreview.net/pdf?id=R0bnWrp…
Understandable Machine Intelligence Lab retweeted
First day #NeurIPS2024 jetlagged but happy to be reunited with @UMI_Lab_AI @Marina_MCV @lkopf_ml
Understandable Machine Intelligence Lab retweeted
I’ll be presenting our work at @NeurIPSConf 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.”
Understandable Machine Intelligence Lab retweeted
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_ml, @anna_hedstroem, and @Marina_MCV on Thu 09.12, 1 p.m. to 4 p.m. CST at East Exhibit Hall A-C #3107!
Understandable Machine Intelligence Lab retweeted
✨Introducing quanda: an open-source library for benchmarking training data attribution (TDA) methods in PyTorch! Quanda offers a user-friendly interface for ⚖️ evaluating attributions and 📊 benchmarking TDA methods across diverse metrics.
Understandable Machine Intelligence Lab retweeted
We (@di_lya, Galip Ümit Yolcu, Niklas Schmolenski, @wiegand_t, @WojciechSamek, @SLapuschkin + me) just launched QUANDA — a training data attribution TDA software Built for researchers curious to apply/ develop/ evaluate TDA methods GitHub repo: github.com/dilyabareeva/q…
Christoph Molnar 🦋... @ChristophMolnar
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Marina M.-C. Höhne (... @Marina_MCV
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Pasquale Minervini @PMinervini
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Mike Allton | AI for ... @mike_allton
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Christoph Molnar 🦋... @ChristophMolnar
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Marina M.-C. Höhne (... @Marina_MCV
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NeurIPS Conference @NeurIPSConf
139K Followers 36 Following Vancouver, Dec 10-15, 24. https://t.co/ga8aOw6yUO Tweets to this account are not monitored. Please send feedback to [email protected].
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