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eml-munich.bsky.social
ExplainableML
@eml-munich.bsky.social
Institute for Explainable Machine Learning at @www.helmholtz-munich.de and Interpretable and Reliable Machine Learning group at Technical University of Munich and part of @munichcenterml.bsky.social
🎓PhD application season is back!

We’re hiring ONLY through the ELLIS @ellis.eu and the MCML
@munichcenterml.bsky.social

📌Please denote Prof. Zeynep Akata @zeynepakata.bsky.social as your preferred supervisor!
👉 Link to ELLIS (ellis.eu/news/ellis-p...) and MCML (mcml.ai/opportunitie...)
October 24, 2025 at 10:21 AM
Are you at #ICCV2025? 🎉 @iccv.bsky.social
EML Munich is presenting two poster papers—come say hi to our authors!
Details in the thread 👇
October 20, 2025 at 12:35 PM
🔥We celebrate 3 papers accepted to NeurIPS 2025, see you in San Diego! 🥳Topics include diffusion models, sparse autoencoders (SAEs) and neural chunking. See the thread for highlights👇
October 13, 2025 at 2:44 PM
🎓PhD Spotlight: Karsten Roth

Celebrate @confusezius.bsky.social , who defended his PhD on June 24th summa cum laude!

🏁 His next stop: Google DeepMind in Zurich!

Join us in celebrating Karsten's achievements and wishing him the best for his future endeavors! 🥳
August 4, 2025 at 2:11 PM
Reposted by ExplainableML
This project was a collaboration between @eml-munich.bsky.social and Huawei Paris Noah’s Ark Lab. Thank you to my collaborators @qbouniot.bsky.social, Vasilii Feofanov, Ievgen Redko, and particularly to my advisor @zeynepakata.bsky.social for guiding me through my first PhD project!
July 3, 2025 at 7:59 AM
🎓PhD Spotlight: Shyamgopal Karthik

Celebrate @shyamgopal.bsky.social , who will defend his PhD on 23rd June! Shyam has been a PhD student @unituebingen.bsky.social since October 2021, supervised by @zeynepakata.bsky.social.
June 18, 2025 at 9:53 AM
Reposted by ExplainableML
Join us in taking stock of the state of the field of explainability in computer vision, at our Workshop on Explainable Computer Vision: Quo Vadis? at #ICCV2025!

@iccv.bsky.social
June 14, 2025 at 3:48 PM
📢 Landed in Nashville🎺 for #CVPR2025! The EML group is presenting 4 exciting papers — come say hi at our poster sessions! More details in the thread — see you there! 🏁🌟
June 11, 2025 at 1:13 PM
🎓PhD Spotlight: Leonard Salewski

Celebrate @l-salewski.bsky.social, who will defend his PhD on 24th June! 📸🎉
May 26, 2025 at 12:09 PM
🎓PhD Spotlight: Thomas Hummel

A spotlight on our one and only @hummelth.bsky.social , who will defend his PhD on 23rd June! 🎉

Thomas started his PhD in 2020 at ‪‪@unituebingen.bsky.social as part of the IMPRS-IS program under the supervision of @zeynepakata.bsky.social . 👇 His full story:
May 19, 2025 at 12:36 PM
🚨 Happy to announce that one paper, "Understanding the Limits of Lifelong Knowledge Editing in LLMs", is accepted at #icml2025 ! Congrats to @lukasthede.bsky.social , @confusezius.bsky.social , Matthias Bethge, @zeynepakata.bsky.social , and @tomhartvigsen.bsky.social . 👇 Highlights in the thread
May 14, 2025 at 10:55 AM
🎓PhD Spotlight: Jae Myung Kim

We’re thrilled to celebrate Jae Myung Kim, who will defend his PhD on 25th June! 🎉

Jae Myung began his PhD at @unituebingen.bsky.social as part of the ELLIS & IMPRS-IS programs, advised by @zeynepakata.bsky.social and collaborating closely with Cordelia Schmid.
May 12, 2025 at 11:16 AM
#CVPR2025 is heading to the 'Music City' — Nashville! 🎺 Join us from June 11–15. We're thrilled to announce that we'll be presenting four papers at @cvprconference.bsky.social! Check out the thread below for highlights, and feel free to stop by and chat with our authors! 📷👇
April 28, 2025 at 11:51 AM
We’ve landed in Singapore for #ICLR2025!
The EML group is presenting 4 exciting papers — come say hi at our poster sessions! 👇Let's chat!

More details in the thread — see you there! 🌟
April 22, 2025 at 1:44 PM
🎓 PhD Spotlight: Otniel-Bogdan Mercea

We’re excited to celebrate @merceaotniel.bsky.social , who will defend his PhD on April 16th! See the thread to feature his research highlights👇
April 14, 2025 at 11:20 AM
Reposted by ExplainableML
9/
📘 Want to test your method at scale?
📄 Paper: arxiv.org/abs/2503.05683
🗂️ Benchmark: huggingface.co/datasets/luk...
💻 Code: github.com/ExplainableM...
Let’s build LLMs that truly stay up to date. 🔄
Excited to see what the community does with this!
Understanding the Limits of Lifelong Knowledge Editing in LLMs
Keeping large language models factually up-to-date is crucial for deployment, yet costly retraining remains a challenge. Knowledge editing offers a promising alternative, but methods are only tested o...
arxiv.org
April 8, 2025 at 3:32 PM
Reposted by ExplainableML
2/
📣 Introducing WikiBigEdit: a new benchmark for lifelong knowledge editing.

It includes:
📌 500K+ real-world QA pairs based on Wikidata
📆 8 time steps over 6 months (Feb–Jul 2024) and continuously updatable
🧪 Rich evaluations: reasoning, generalization, locality, …
April 8, 2025 at 3:32 PM
Reposted by ExplainableML
🧠 Keeping LLMs factually up to date is a common motivation for knowledge editing.

But what would it actually take to support this in practice at the scale and speed the real world demands?

We explore this question and really push the limits of lifelong knowledge editing in the wild.
👇
April 8, 2025 at 3:32 PM
🌍 #ICLR2025 is coming to the beautiful city of Singapore — April 24–28!
We're excited to share 4 upcoming papers being presented at the conference.
Check out the thread for highlights, and come chat with the authors if you're interested! 🧵👇
April 7, 2025 at 9:34 AM
Thrilled to announce that four papers from our group have been accepted to #CVPR2025 in Nashville! 🎉 Congrats to all authors & collaborators.
Our work spans multimodal pre-training, model merging, and more.
📄 Papers & codes: eml-munich.de#publications
See threads for highlights in each paper.
#CVPR
April 2, 2025 at 11:36 AM
Happy to share that we have 4 papers to be presented in the coming #ICLR2025 in the beautiful city of #Singapore . Check out our website for more details: eml-munich.de/publications. We will introduce the talented authors with their papers very soon, stay tuned😉
March 19, 2025 at 11:54 AM
Reposted by ExplainableML
Can we enhance the performance of T2I models without any fine-tuning?

We show that with our ReNO, Reward-based Noise Optimization, one-step models consistently surpass the performance of all current open-source Text-to-Image models within the computational budget of 20-50 sec!
#NeurIPS2024
December 11, 2024 at 11:05 PM
Reposted by ExplainableML
📄 New Paper: "How to Merge Your Multimodal Models Over Time?"

arxiv.org/abs/2412.06712

Model merging assumes all finetuned models are available at once. But what if they need to be created over time?

We study Temporal Model Merging through the TIME framework to find out!

🧵
How to Merge Your Multimodal Models Over Time?
Model merging combines multiple expert models - finetuned from a base foundation model on diverse tasks and domains - into a single, more capable model. However, most existing model merging approaches...
arxiv.org
December 11, 2024 at 6:00 PM
Reposted by ExplainableML
😵‍💫 Continually pretraining large multimodal models to keep them up-to-date all-the-time is tough, covering everything from adapters, merging, meta-scheduling to data design and more!

So I'm really happy to present our large-scale study at #NeurIPS2024!

Come drop by to talk about all that and more!
December 10, 2024 at 4:42 PM
Reposted by ExplainableML
After a break of over 2 years, I'm attending a conference again! Excited to attend NeurIPS, even more so to be presenting ReNO, getting inference-time scaling and preference optimization to work for text-to-image generation.
Do reach out if you'd like to chat!
December 9, 2024 at 9:27 PM