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Raising the Bar in Graph-level Anomaly Detection



Chen Qiu , Marius Kloft , Stephan Mandt , Maja Rudolph

* To appear in IJCAI-ECAI 2022 

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Diffusion Probabilistic Modeling for Video Generation



Ruihan Yang , Prakhar Srivastava , Stephan Mandt


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SC2: Supervised Compression for Split Computing



Yoshitomo Matsubara , Ruihan Yang , Marco Levorato , Stephan Mandt

* Preprint. Code and models are available at https://github.com/yoshitomo-matsubara/sc2-benchmark 

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Latent Outlier Exposure for Anomaly Detection with Contaminated Data



Chen Qiu , Aodong Li , Marius Kloft , Maja Rudolph , Stephan Mandt


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Hybridizing Physical and Data-driven Prediction Methods for Physicochemical Properties



Fabian Jirasek , Robert Bamler , Stephan Mandt

* Chemical Communications 56 12407, 2020 
* Published version 

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An Introduction to Neural Data Compression



Yibo Yang , Stephan Mandt , Lucas Theis


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Detecting Anomalies within Time Series using Local Neural Transformations



Tim Schneider , Chen Qiu , Marius Kloft , Decky Aspandi Latif , Steffen Staab , Stephan Mandt , Maja Rudolph


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Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs



Harshini Mangipudi , Griffin Mooers , Mike Pritchard , Tom Beucler , Stephan Mandt

* 4 Pages, 3 Figures. Accepted to NeurIPS 2021 (Machine Learning and Physical Sciences) 

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Towards Empirical Sandwich Bounds on the Rate-Distortion Function



Yibo Yang , Stephan Mandt


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