Rudolph, Maja

13 publications

TMLR 2025 On the Challenges and Opportunities in Generative AI Laura Manduchi, Clara Meister, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin

TMLR 2025 Uncertainty-Aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior Lorenzo Perini, Maja Rudolph, Sabrina Schmedding, Chen Qiu

ICLR 2024 Efficient Integrators for Diffusion Generative Models Kushagra Pandey, Maja Rudolph, Stephan Mandt

ICML 2023 Deep Anomaly Detection Under Labeling Budget Constraints Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Stephan Mandt, Maja Rudolph

TMLR 2023 TimeSeAD: Benchmarking Deep Multivariate Time-Series Anomaly Detection Dennis Wagner, Tobias Michels, Florian C.F. Schulz, Arjun Nair, Maja Rudolph, Marius Kloft

NeurIPS 2023 Zero-Shot Anomaly Detection via Batch Normalization Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt

TMLR 2022 Complex-Valued Autoencoders for Object Discovery Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling

ICML 2022 Latent Outlier Exposure for Anomaly Detection with Contaminated Data Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt

ICML 2022 Modeling Irregular Time Series with Continuous Recurrent Units Mona Schirmer, Mazin Eltayeb, Stefan Lessmann, Maja Rudolph

IJCAI 2022 Raising the Bar in Graph-Level Anomaly Detection Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph

ICML 2021 Neural Transformation Learning for Deep Anomaly Detection Beyond Images Chen Qiu, Timo Pfrommer, Marius Kloft, Stephan Mandt, Maja Rudolph

NeurIPS 2017 Structured Embedding Models for Grouped Data Maja Rudolph, Francisco Ruiz, Susan Athey, David Blei

NeurIPS 2016 Exponential Family Embeddings Maja Rudolph, Francisco Ruiz, Stephan Mandt, David Blei