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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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Yagmur Turhan University of Stuttgart

Yagmur Dokur University of Stuttgart

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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. CoRR, (2018)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)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)Evaluation of fractal dimension estimation methods for feature extraction in motor imagery based brain computer interface.U. Güçlü, Y. Güçlütürk, and C. Loo. WCIT, volume 3 of Procedia Computer Science, page 589-594. Elsevier, (2011)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)Generative adversarial networks for reconstructing natural images from brain activity.K. Seeliger, U. Güçlü, L. Ambrogioni, Y. Güçlütürk, and M. van Gerven. NeuroImage, (2018)End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks.U. Güçlü, Y. Güçlütürk, M. Madadi, S. Escalera, X. Baró, J. Gonzàlez, R. van Lier, and M. van Gerven. CoRR, (2017)Wasserstein Variational Inference.L. Ambrogioni, U. Güçlü, Y. Güçlütürk, M. Hinne, M. van Gerven, and E. Maris. NeurIPS, page 2478-2487. (2018)

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Disambiguation of "Güçlütürk, Yagmur"

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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

Yagmur Turhan University of Stuttgart

Yagmur Dokur University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

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

Yagmur Turhan University of Stuttgart

Yagmur Dokur University of Stuttgart

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.