Publications

Combining Generative and Discriminative Models for Hybrid Inference – Garcia, Victor; Akata, Zeynep; Welling, Max – Neural Information Processing Systems (NeurIPS), 2019
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Hyperspherical Prototype Networks – Mettes, Pascal; van der Pol, Elise; Snoek, Cees – Neural Information Processing Systems (NeurIPS), 2019
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Integer Discrete Flows and Lossless Compression – Hoogeboom, Emiel; Peters, Jorn; van den Berg, Rianne; Welling, Max – Neural Information Processing Systems (NeurIPS), 2019
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Sinkhorn AutoEncoders РPatrini, Giorgio; van den Berg, Rianne; Forr̩, Patrick; Carioni, Marcello; Bhargav, Samarth; Welling, Max; Genewein, Tim; Nielsen, Frank РUncertainty in Artificial Intelligence (UAI), 2019
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Emerging Convolutions for Generative Normalizing Flows – Hoogeboom, Emiel; van den Berg, Rianne; Welling, Max – International Conference on Machine Learning (ICML), 2019
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Semi-Conditional Normalizing Flows for Semi-Supervised Learning – Atanov, Andrei; Volokhova, Alexandra; Ashukha, Arsenii; Sosnovik, Ivan; Vetrov, Dmitry – ICML 19 Workshop on Invertible Neural Nets and Normalizing Flows, 2019
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Few-Shot Learning with Graph Neural Networks – Garcia, Victor; Bruna, Joan – International Conference of Learning Representations (ICLR), 2018
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Channel-Recurrent Autoencoding for Image Modeling – Wenling Shang Kihyuk Sohn, Yuandong Tian – Winter Conference of Applications of Computer Vision (WACV), 2018
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