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Deep generative models : over-generalisation and mode-dropping

 Thomas Lucas
Artificial Intelligence [cs.AI]. Université Grenoble Alpes [2020-..], 2020. English. ⟨NNT : 2020GRALM049⟩
Thèse tel-03102554v1
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Auxiliary Guided Autoregressive Variational Autoencoders

 Thomas Lucas , Jakob Verbeek
ECML-PKDD 2018 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2018, Dublin, Ireland. pp.443-458, ⟨10.1007/978-3-030-10925-7_27⟩
Communication dans un congrès hal-01652881v2
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Areas of Attention for Image Captioning

 Marco Pedersoli , Thomas Lucas , Cordelia Schmid , Jakob Verbeek
ICCV - International Conference on Computer Vision, Oct 2017, Venice, Italy. pp.1251-1259, ⟨10.1109/ICCV.2017.140⟩
Communication dans un congrès hal-01428963v2
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Mixed batches and symmetric discriminators for GAN training

 Thomas Lucas , Corentin Tallec , Jakob Verbeek , Yann Ollivier
ICML - 35th International Conference on Machine Learning, Jul 2018, Stockholm, Sweden. pp.2844-2853
Communication dans un congrès hal-01791126v2
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Adaptive Density Estimation for Generative Models

 Thomas Lucas , Konstantin Shmelkov , Cordelia Schmid , Karteek Alahari , Jakob Verbeek
NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. pp.11993-12003
Communication dans un congrès hal-01886285v5
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