Unfortunately, our submission to #NeurIPS didn’t go through with (5,4,4,3). But because I think it’s an excellent paper, I decided to share it anyway. We show how to efficiently apply Bayesian learning in VLMs, improve calibration, and do active learning. Cool stuff! 📝 arxiv.org/abs/2412.06014

I am hiring PhD students and/or Postdocs, to work on the theory of explainable machine learning. Please apply through Ellis or IMPRS, deadlines end october/mid november. In particular: Women, where are you? Our community needs you!!! imprs.is.mpg.de/application ellis.eu/news/ellis-p...

It is an honor to receive the ZukunftsWissen award from the German National Academy of the Sciences @leopoldina.org and Commerzbank-Stiftung 😊🙏🎉

NeurIPS has decided to do what ICLR did: As a SAC I received the message 👇 This is wrong! If the review process cannot handle so many papers, the conference needs yo split instead of arbitrarily rejecting 400 papers.

Congratulations Karsten @confusezius.bsky.social for a wonderful PhD journey that ended with a summa cum laude 🎉 It is rare that a PhD researcher creates a paradigm shift in a research group: I am grateful for everything that I learned from you 😉 Best of luck at Google DM in Zurich!

I love the #eurips initiative! But to live up to its potential, it should be accepted an official #neurips conference location (similar to Mexico City) and not just an addon! Then we would save C02, rather than adding to it!!! What can we do to achieve this?

🚨 Poster at #ICML2025! How can LLMs really keep up with the world? Come by E-2405 on July 15th (4:30–7:00pm) to check out WikiBigEdit – our new benchmark to test lifelong knowledge editing in LLMs at scale. 🔗 Real-world updates 📈 500k+ QA edits 🧠 Editing vs. RAG vs. CL

How can we circumvent data scarcity in the time series domain? We propose to leverage pretrained ViTs (e.g., CLIP, DINOv2) for time series classification and outperform time series foundation models (TSFMs). 📄 Preprint: arxiv.org/abs/2506.08641 💻 Code: github.com/ExplainableM...

It is a great honor to receive the ZukunftsWissen Prize 2025 from the German Academy of the Sciences @leopoldina.org with generous support of the commerzbank foundation 🎉 This achievement wouldn’t have been possible without my wonderful group @eml-munich.bsky.social @tum.de @helmholtz.de

From classification to retrieval to generative models compositionality has been central to @shyamgopal.bsky.social‘s PhD. Congratulations to Shyam’s very successful journey 🎉 We are looking forward to his upcoming PhD defense next week in Tübingen!

📢 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! 🏁🌟

We are looking forward to Leonard Salewski’s PhD defense soon! 🎉 Leonard has done some interesting research on explainable AI as well as impersonation in (multimodal) LLMs, details below 👇

We are looking forward to Thomas Hummel‘s @hummelth.bsky.social PhD defense soon. If you are looking for experts in video action recognition or retrieval, he is to be contacted 😉

🚨 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

Our paper is now out in Nature Human Behaviour! 🎉 We use games from behavioural economics to explore how LLMs behave in repeated social interactions, revealing both self-interested strengths and coordination blind spots, and propose strategies to improve AI-human collaboration.

Our second PhD spotlight, Jae Myung Kim is about to complete his PhD within the @ellis.eu and IMPRS-IS PhD programs, big congratulations to Jae Myung 🎈🎊🎉

One week left to apply, so please do... 😀

@eml-munich.bsky.social is going to @cvprconference.bsky.social🎉 Checkout our papers below 👇

At #ICLR2025, #HelmholtzMunich researchers are sharing advancements in #MachineLearning. 👉 t1p.de/8jfgn @fabiantheis.bsky.social @carstenmarr.bsky.social @stes.io @zeynepakata.bsky.social @ericschulz.bsky.social @vincefort.bsky.social @iclr-conf.bsky.social

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! 🌟

Check out our first profile spotlight featuring @merceaotniel.bsky.social who will be defending his thesis this Wednesday 👏

🚨 We're hiring! If you're excited about 🤖 ML/LLMs, 🧠 cognitive science, or 💭 computational psychiatry, come join us in Munich. Two fully funded PhDs @www.helmholtz-munich.de: tailored mentorship, international vibe, lots of room to grow. 📅 May 16th 🔗 hcai-munich.com/PhDHCAI.pdf

@lukasthede.bsky.social ‘s new preprint on knowledge editing is worth taking a look into 👀

🌍 #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

A very interesting read full of useful insights on how LLMs could shape science. Both the discussions and the writing process was a great experience for me personally, the first #PNAS paper I got involved in!

Our EML team has 4 #ICLR25 Papers accepted! I am proud of my students and grateful to be a part of many successful collaborations. More details will appear on our website (www.eml-munich.de) but here are the snapshots.

Have we built machines that learn and think like people? In our new paper, we find that vision large language models still fall short when it comes to cognitive abilities in the domains of causal reasoning, intuitive physics, and theory of mind. www.nature.com/articles/s42...

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

😵‍💫 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!

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!

🤔 Can you turn your vision-language model from a great zero-shot model into a great-at-any-shot generalist? Turns out you can, and here is how: arxiv.org/abs/2411.15099 Really excited to this work on multimodal pretraining for my first bluesky entry! 🧵 A short and hopefully informative thread:

Curious about the recent trends, key challenges, and novel research directions in #explainableAI for #remotesensing? Then check our review paper "Opening the Black Box: A Systematic Review on Explainable Artificial Intelligence in Remote Sensing" (lnkd.in/et9dvHpZ) published at the IEEE #GRSM.

NeurIPS Conference is now Live on Bluesky! -NeurIPS2024 Communication Chairs

As I haven't found it out there yet, I made the Women in computer vision started pack. Many more missing, please let me know how is already in bsky to add them! go.bsky.app/BowzivT