Browsing by Author "Güçlütürk, Y."

Decomposing complexity preferences for music

2019, Article / Letter to editor (Frontiers in Psychology, vol. 10, (2019), article 674)

Gerven, M.A.J. van ; Seeliger, K. ; Güçlü, U. ; Güçlütürk, Y.

2019, Part of book or chapter of book (Samek, W.; Montavon, G.; Vedaldi, A. (ed.), Explainable AI: Interpreting, explaining and visualizing deep learning, pp. 379-394)

Forward amortized inference for likelihood-free variational marginalization

Ambrogioni, L. ; Güçlü, U. ; Berezutskaya, Y. ; Borne, E.W.P. van den; Güçlütürk, Y. ; Hinne, M. ; Maris, E.G.G. ; Gerven, M.A.J. van

2019, Article in monograph or in proceedings (Chaudhuri, K.; Sugiyama, M. (ed.), Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, pp. 777-786)

Explainable and interpretable models in computer vision and machine learning

Escalante, H.J.; Escalera, S.; Guyon, I.; Baró, X.; Güçlütürk, Y. ; Güçlü, U. ; Gerven, M.A.J. van

2018, Book editorial

Effects of complexity in perception: From construction to reconstruction

Güçlütürk, Y.

2018, Dissertation

Multimodal first impression analysis with deep residual networks

Güçlütürk, Y. ; Güçlü, U. ; Baró, X.; Escalante, H.J.; Guyon, I.; Escalera, S.; Gerven, M.A.J. van ; Lier, R.J. van

2018, Article / Letter to editor (IEEE Transactions on Affective Computing, vol. 9, iss. 3, (2018), pp. 316-329)

Representations of naturalistic stimulus complexity in early and associative visual and auditory cortices

Güçlütürk, Y. ; Güçlü, U. ; Gerven, M.A.J. van ; Lier, R.J. van

2018, Article / Letter to editor (Scientific Reports, vol. 8, (2018), article 3439)

Generative adversarial networks for reconstructing natural images from brain activity

Seeliger, K. ; Güçlü, U. ; Ambrogioni, L. ; Güçlütürk, Y. ; Gerven, M.A.J. van

2018, Article / Letter to editor (NeuroImage, vol. 181, (2018), pp. 775-785)

Wasserstein variational inference

Ambrogioni, L. ; Güçlü, U. ; Güçlütürk, Y. ; Hinne, M. ; Gerven, M.A.J. van ; Maris, E.G.G.

2018, Article in monograph or in proceedings (Bengio, S.; Wallach, H.M.; Larochelle, H. (ed.), Proceedings of the 32nd International Conference on Neural Information Processing Systems, pp. 2478-2487)

Visualizing apparent personality analysis with deep residual networks

Güçlütürk, Y. ; Güçlü, U. ; Pérez, M.; Escalante, H.J.; Baró, X.; Guyon, I.; Andujar, C.; Jacques, J.; Madadi, M.; Escalera, S.; et al.

sine al.

2017, Article in monograph or in proceedings (2017 IEEE International Conference on Computer Vision (ICCV), pp. 3101-3109)

Design of an explainable machine learning challenge for video interviews

Escalante, H.J.; Guyon, I.; Escalera, S.; Jacques, J.; Madadi, M.; Baró, X.; Ayache, S.; Viegas, E.; Güçlütürk, Y. ; Güçlü, U. ; et al.

sine al.

2017, Article in monograph or in proceedings (2017 International Joint Conference on Neural Networks (IJCNN), pp. 3688-3695)

Algorithmic composition of polyphonic music with the WaveCRF

Güçlü, U. ; Güçlütürk, Y. ; Ambrogioni, L. ; Maris, E.G.G. ; Lier, R.J. van ; Gerven, M.A.J. van

2017, Article in monograph or in proceedings (2017 Neural Information Processing Systems (NIPS): Machine Learning for Creativity and Design Workshop (December 8, 2017), pp. 1-3)

Bayesian model ensembling using meta-trained recurrent neural networks

Ambrogioni, L. ; Berezutskaya, Y. ; Güçlü, U. ; Borne, E.W.P. van den; Güçlütürk, Y. ; Gerven, M.A.J. van ; Maris, E.G.G.

2017, Article in monograph or in proceedings (Workshop on Meta-Learning (MetaLearn 2017) - Neural Information Processing Systems (NIPS 2017), pp. 1-5)

Reconstructing perceived faces from brain activations with deep adversarial neural decoding

Güçlütürk, Y. ; Güçlü, U. ; Seeliger, K. ; Bosch, S.E. ; Lier, R.J. van ; Gerven, M.A.J. van

2017, Article in monograph or in proceedings (Guyon, I.; Luxburg, U.V.; Bengio, S. (ed.), Advances in Neural Information Processing Systems 30 (NIPS 2017) Pre-Proceedings, pp. 4249-4260)

Deep impression: Audiovisual deep residual networks for multimodal apparent personality trait recognition

Güçlütürk, Y. ; Güçlü, U. ; Gerven, M.A.J. van ; Lier, R.J. van

2016, Article in monograph or in proceedings (Hua, G.; Jégou, H. (ed.), Computer Vision - ECCV 2016 Workshops, Proceedings, pp. 349-358)

Liking versus complexity: Decomposing the inverted U-curve

Güçlütürk, Y. ; Jacobs, R.H.A.H. ; Lier, R.J. van

2016, Article / Letter to editor (Frontiers in Human Neuroscience, vol. 10, (2016), article 112)

Convolutional sketch inversion

Güçlütürk, Y. ; Güçlü, U. ; Lier, R.J. van ; Gerven, M.A.J. van

2016, Article / Letter to editor (Lecture Notes in Computer Science, vol. 9913, (2016), pp. 810-814)

What you need is what you like: Knowing target and distractor categories is sufficient for distractor devaluation

Jacobs, R.H.A.H. ; Güçlütürk, Y. ; Lier, R.J. van

2015, Article / Letter to editor (Perception, vol. 44, iss. Suppl., (2015), pp. 63-64)

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