📢 Fully funded PhD @ Helmholtz Munich + TUM We're hiring PhD students to build trustworthy AI systems for science: explainable AI, VLMs, reliable adaptation, agentic workflows. ⏰ Priority deadline 10 Aug 2026. Application details below 👇
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
#ICML2026 kicks off in three days! We're excited to be presenting eight papers at the main conference this year. See the thread below for each paper, plus presentation times and locations 👇 Talk to our authors if you are interested!
We also have a great lineup of workshop presentations at #ICML2026! Most of our authors will be there too—come chat with them if you're interested. 👇 Details in the thread:
Happy to share that we have 8 papers accepted to #ICML2026! 🎉 Most of the authors will be traveling to Seoul, Korea 🇰🇷 — feel free to reach out and chat with them if you’re interested in the work. See the full thread below for our papers 👇
Happy to share that we have 3 papers accepted (one oral) at #CVPR2026, see you in Denver! Please see the thread for details👇
Excited to share that our paper “Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps” won the Best Paper Award at the #ICLR2026 ReALM-GEN Workshop 🎉✨ Check out the paper & code 👇 📕 arxiv.org/abs/2602.05993 💻 github.com/PeterHolderr...
Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps
Flow and diffusion models produce high-quality samples, but adapting them to user preferences or constraints post-training remains costly and brittle, a challenge commonly called reward alignment. We ...
arxiv.org
Our EML members are heading for Rio🇧🇷 for #ICLR2026! 🌴We’re excited to share our latest research — three poster presentations. Check out the thread below and come say hi to our authors
🥳Our proposal "TACO-VLM: Tackling challenges in large-scale multimodal learning" was granted 1.5M GPU-h on JUPITER @fz-juelich.de, Europe's first exascale supercomputer with ~24k NVIDIA GH200 GPUs. With JUPITER's support, we hope to push large-scale multimodal learning further.
🥳Happy to share that we have three papers accepted to #ICLR2026. Congrats to our authors and see you in Rio🌴🇧🇷. Check the thread for highlights👇
Our EML members have arrived in beautiful San Diego for #NeurIPS2025! 🌴 We’re excited to share our latest research — three poster presentations and one workshop presentation. Check out the thread below 👇 and come say hi to our authors!
🎓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...)
Are you at #ICCV2025? 🎉 @iccv.bsky.social EML Munich is presenting two poster papers—come say hi to our authors! Details in the thread 👇
🔥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👇
🎓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! 🥳
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!
🎓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.
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
📢 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! 🏁🌟
🎓PhD Spotlight: Leonard Salewski Celebrate @l-salewski.bsky.social, who will defend his PhD on 24th June! 📸🎉
🎓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:
🚨 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
🎓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.
#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! 📷👇
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! 🌟
🎓 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👇
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
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, …
🧠 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. 👇
🌍 #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! 🧵👇
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