🚀 Excited to share our new work! Tackling time series confounders with RioT: 🔄 Feedback across time & frequency 🎯 Steers models to right reasons 📊 Tested on our novel production line dataset with natural confounding factors arxiv.org/abs/2402.12921 huggingface.co/datasets/AIML-…

Our new XIT method pretrains 🏋️ on 75 time series 📈 datasets at once! 🔗: XD-MixUp interpolates between datasets 🧮: New SICC loss proposed 📊: Competitive on 5 baselines 🤝 Work with Maurice Kraus @ NeurIPS, David Steinmann, Devendra Singh Dhami | देवेंद्र सिंह धामी 🇮🇳 & Kristian Kersting! arxiv.org/abs/2402.15404

🚀 We present Neural Concept Binder for unsupervised symbolic concept discovery. It combines continuous and discrete encodings for concept representations that are: expressive ✔️ inspectable ✔️ revisable ✔️ 🤯 🔗arxiv.org/abs/2406.09949 Antonia Wüst David Steinmann Kristian Kersting

📢 Presenting our latest research on #XAI and Interactive Learning at #ICML2024 🎉 Poster session: Tuesday from 11:30-1:00 (#2604). Title: Learning to Intervene on Concept Bottlenecks 🧠 paper: lnkd.in/eYgka8fj David Steinmann felfri Kristian Kersting

Very happy that our work Neural Concept Binder got accepted at NeurIPS Conference! We introduce a framework for interpretable and revisable concept learning in unsupervised scenarios 👉 arxiv.org/abs/2406.09949 Looking forward to presenting the work and exchanging ideas 🤗

Our recent workshop paper puts Vision-Language Models like #GPT4o to the test with Bongard problems🧩 We show that VLMs struggle to identify concepts that are quite intuitive to humans. Still a long way to go for human-like visual reasoning! 🤖🧠 arXiv: arxiv.org/abs/2410.19546

💡 Did you know that "Graph Neural Networks Need Cluster-Normalize-Activate Modules"? That's the title of the work we present at NeurIPS Conference this week! Our simple CNA modules added to each layer effectively mitigate oversmoothing in GNNs and strongly improve performance! 📈

Excited to be at #NeurIPS2024 this week presenting our work Neural Concept Binder! 🤗 Stop by our poster to see how we derive expressive concept representations from unlabeled images. ⏰ Thu, Dec 12 11am–2pm 📍 East Hall A-C, #2103 See you there! 🎉✨