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Neural Transformation Learning for Deep Anomaly Detection Beyond Images


Mar 31, 2021
Chen Qiu, Timo Pfrommer, Marius Kloft, Stephan Mandt, Maja Rudolph


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Variational Dynamic Mixtures


Oct 20, 2020
Chen Qiu, Stephan Mandt, Maja Rudolph


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Deterministic Inference of Neural Stochastic Differential Equations


Jun 16, 2020
Andreas Look, Chen Qiu, Maja Rudolph, Jan Peters, Melih Kandemir


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Extending Machine Language Models toward Human-Level Language Understanding


Dec 12, 2019
James L. McClelland, Felix Hill, Maja Rudolph, Jason Baldridge, Hinrich Schütze


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Structured Embedding Models for Grouped Data


Sep 28, 2017
Maja Rudolph, Francisco Ruiz, Susan Athey, David Blei


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Dynamic Bernoulli Embeddings for Language Evolution


Mar 23, 2017
Maja Rudolph, David Blei


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Edward: A library for probabilistic modeling, inference, and criticism


Feb 01, 2017
Dustin Tran, Alp Kucukelbir, Adji B. Dieng, Maja Rudolph, Dawen Liang, David M. Blei


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