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Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference.

L. Ambrogioni, U. Güçlü, Y. Güçlütürk, and M. van Gerven. CoRR, (2018)

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Eray Yagmur

Türker Yagmur

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Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition.Y. Güçlütürk, U. Güçlü, M. van Gerven, and R. van Lier. ECCV Workshops (3), volume 9915 of Lecture Notes in Computer Science, page 349-358. (2016)End-to-end neural system identification with neural information flow.K. Seeliger, L. Ambrogioni, Y. Güçlütürk, L. van den Bulk, U. Güçlü, and M. van Gerven. PLoS Comput. Biol., (2021)Convolutional Sketch Inversion.Y. Güçlütürk, U. Güçlü, R. van Lier, and M. van Gerven. ECCV Workshops (1), volume 9913 of Lecture Notes in Computer Science, page 810-824. Springer, (2016)Wasserstein Variational Inference.L. Ambrogioni, U. Güçlü, Y. Güçlütürk, M. Hinne, M. van Gerven, and E. Maris. NeurIPS, page 2478-2487. (2018)Forward Amortized Inference for Likelihood-Free Variational MarginalizationL. Ambrogioni, U. Güçlü, J. Berezutskaya, E. Borne, Y. Güçlütürk, M. Hinne, E. Maris, and M. van Gerven. (2018)cite arxiv:1805.11542Comment: 9 pages, 3 figures.Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos.H. Escalante, H. Kaya, A. Salah, S. Escalera, Y. Güçlütürk, U. Güçlü, X. Baró, I. Guyon, J. Júnior, M. Madadi and 7 other author(s). CoRR, (2018)Reconstructing perceived faces from brain activations with deep adversarial neural decoding.Y. Güçlütürk, U. Güçlü, K. Seeliger, S. Bosch, R. van Lier, and M. van Gerven. NIPS, page 4246-4257. (2017)Simulating neuroprosthetic vision for emotion recognition.C. Bollen, U. Güçlü, R. van Wezel, M. van Gerven, and Y. Güçlütürk. ACII Workshops, page 85-87. IEEE, (2019)Forward Amortized Inference for Likelihood-Free Variational Marginalization.L. Ambrogioni, U. Güçlü, J. Berezutskaya, E. van den Borne, Y. Güçlütürk, M. Hinne, E. Maris, and M. van Gerven. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 777-786. PMLR, (2019)Visualizing Apparent Personality Analysis with Deep Residual Networks.Y. Güçlütürk, U. Güçlü, M. Pérez, H. Escalante, X. Baró, C. Andújar, I. Guyon, J. Júnior, M. Madadi, S. Escalera and 2 other author(s). ICCV Workshops, page 3101-3109. IEEE Computer Society, (2017)

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Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference.

Please choose a person to relate this publication to

Eray Yagmur

Türker Yagmur

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Disambiguation of "Güçlütürk, Yagmur"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference.

Please choose a person to relate this publication to

Eray Yagmur

Türker Yagmur

Other publications of authors with the same name

Disambiguation

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Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference.