Machine Learning https://validator.w3.org/feed/docs/rss2.html Paper accepted to workshop Landing Page Positions Yifan Wang Nektarios Kalampalikis Publications Reading Group Interpretable ML Courses Fair ML Deborah Kanubala Kunchangtai Liang Adrián Javaloy Jonas Klesen Amir-Hossein Karimi Huyen Khanh Vo People Elina Rojin Celik Kavya Gupta Pablo Sanchez María Martínez García Tim Nico Bauerschmidt Paper accepted at ACM FaccT 2024! Paper “Causal Normalizing Flows: from theory to practice” accepted as an Oral to Neurips 2023 Paper “Causal Normalizing Flows: from theory to practice” won Best Paper Award at the 6th Workshop on Tractable Probabilistic Modeling Abstract by Miriam Rateike accepted to WiML Workshop at NeurIPS23 Paper “Weakly Supervised Detection of Hallucinations in LLM Activations” accepted to NeurIPS Workshop on Socially Responsible Language Modelling Research PhD student Miriam Rateike received a Google PhD Fellowship award ERC Starting Grant We hosted a workshop on Interpretability and Algorithmic Recourse Batuhan Koyuncu Society-Aware Machine Learning Robust generative models for real-world data Research Paper “Designing Long-term Group Fair Policies in Dynamical Systems” co-authored by Miriam Rateike accepted at the NeurIPS23 workshop on “Algorithmic Fairness Through the Lens of Time” Isabel Valera (old) Ayan Majumdar Acceptance of the Algorithmic Fairness Workshop at NEURIPS2023 Contribution by Our Group to the Proceedings of the Conference on Discrimination and AI Example Project Page Meta networks: NN that outputs NN parameters Sample Page Miriam Rateike Deborah Kanubala is co-organizing Deep Learning Indaba Isabel Valera