Come pursue your PhD and work with us TU Berlin BIFOLD with @MPIWG @M_Valleriani ML Group, TU Berlin Full-time Research Assistant position exploring the intersection of #MachineLearning and the #DigitalHumanities: 📚🔭💻🔎 jobs.tu-berlin.de/en/job-posting…

🎇 We have another opening for a PhD student position in the BIFOLD agility project 'LungCAIRE' with Charité on multimodal data representations for lung cancer relapse prediction and related use cases: jobs.tu-berlin.de/en/job-posting… (application deadline: Sep 08, 2023)

We built a new website for our lab🧑‍💻 Check out researchers, publications, courses and software from our group!

Congrats to the team. The paper “Improving neural network representations using human similarity judgments” will be presented at the NeurIPS Conference.

The camera-ready version is now available on arXiv! 🔥 We've updated our manuscript with results for a few interesting experiments that were suggested by the reviewers during the rebuttal period. See the thread below👇

🚨 We have 2 open #PhD positions! Come join us TU Berlin. We offer cutting edge #research ranging from #XAI over #Probabilistic #Modelling to #AI4Science 🧬 Check out our research profile 👉 t1p.de/uetq8 Apply here 👉 t1p.de/tjunf #AI #MachineLearning

The #aignostics team is heading to #ASCO2024! Interested in hearing about how we’re transforming precision medicine with our industry-leading foundation model and advanced machine learning algorithms? Let’s connect on June 2-3: lnkd.in/e7eTNxEw #ASCO24 #PrecisionMedicine

Why do some memories fade in seconds, while others stay with us for life? Working Memory (WM) holds info for just moments, but certain bits manage to stick around and make it into Long-Term Memory (LTM). In our new ⚡️preprint⚡️, we examined what helps these memories stick. 1/

Our work on historical insights at scale using machine learning is now out in Science Advances! Very proud of this team effort, bridging disciplines and institutions—@MPIWG TU Berlin BIFOLD ML Group, TU Berlin 📜science.org/doi/10.1126/sc…

If two models are more similar to each other than a third on ImageNet, will this hold for medical/ satellite images? Our preprint analyzes how vision model similarities generalize across datasets, the factors that influence them, and their link to downstream task behavior. 🧵1/7

A deep anomaly detection approach for histopathology shows high detection performance for a broad range of diseases (including all cancers) within the long diagnostic tail in gastrointestinal biopsies. Read the full article by Jonas Dippel et al.: nejm.ai/3YwvUZz

Original Article by Jonas Dippel et al.: AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics nejm.ai/3YwvUZz #ArtificialIntelligence

Mayo Clinic announced the formation of Mayo Clinic Digital Pathology, designed on a platform architecture to boldly unlock the power of its extensive archive of digital slides to revolutionize pathology and accelerate medical breakthroughs. Learn more: mayocl.in/4aeawwi

🎉 Update: This work got accepted to #icml2025!! Huge thanks to my amazing co-authors Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, and Lukas Muttenthaler for their great work and to all collaborators! 🙏 📄 Paper: arxiv.org/abs/2411.05561 💻 Code: github.com/lciernik/simil… 🧵1/3