Browsing by Author "Güçlü, U."

Guest editorial: Image and video inpainting and denoising

Escalera, S.; Escalante, H.J.; Baró, X.; Guyon, I.; Madadi, M.; Wan, J.; Ayache, S.; Güçlütürk, Y. ; Güçlü, U.

2020, Article / Letter to editor (IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, iss. 5, (2020), pp. 1021-1024)

Brain-optimized extraction of complex sound features that drive continuous auditory perception

Berezutskaya, Y. ; Freudenburg, Z.V. ; Güçlü, U. ; Gerven, M.A.J. van ; Ramsey, N.F.

2020, Article / Letter to editor (Plos Computational Biology, vol. 16, iss. 7, (2020), article e1007992)

Cortical network responses map onto data-driven features that capture visual semantics of movie fragments

Berezutskaya, Y. ; Freudenburg, Z.V. ; Ambrogioni, L. ; Güçlü, U. ; Gerven, M.A.J. van ; Ramsey, N.F.

2020, Article / Letter to editor (Scientific Reports, vol. 10, (2020), article 12077)

Modeling, recognizing, and explaining apparent personality from videos

Escalante, H.J.; Kaya, H.; Salah, A.A.; Escalera, S.; Güçlütürk, Y. ; Güçlü, U. ; Baró, X.; Guyon, I.; Jacques Junior, J.C.S.; Madadi, M.; et al.

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2020, Article / Letter to editor (IEEE Transactions on Affective Computing, (2020))

The Indian chefs process

Dallaire, P.; Ambrogioni, L. ; Trottier, L.; Güçlü, U. ; Hinne, M. ; Giguère, P.; Chaib-Draa, B.; Gerven, M.A.J. van ; Laviolette, F.

2020, Article / Letter to editor (Proceedings of Machine Learning Research, vol. 124, (2020), pp. 600-608)

Current advances in neural decoding

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)

SpikeCaKe: Semi-analytic nonparametric Bayesian inference for spike-spike neuronal connectivity

Ambrogioni, L. ; Ebel, P.W.; Hinne, M. ; Güçlü, U. ; Gerven, M.A.J. van ; Maris, E.G.G.

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. 787-795)

Neural information flow: Learning neural information processing systems from brain activity

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

2019, Article in monograph or in proceedings (2019 Conference on Cognitive Computational Neuroscience, pp. 717-720)

ChaLearn Looking at People: Inpainting and denoising challenges

Escalera, S.; Soler, M.; Ayache, S.; Güçlü, U. ; Wan, J.; Madadi, M.; Baró, X.; Escalante, H.J.; Guyon, I.

2019, Article in monograph or in proceedings (Escalera, S.; Ayache, S.; Wan, J. (ed.), Inpainting and denoising challenges: Conference proceedings, pp. 23-44)

Inpainting and denoising challenges: Conference proceedings

Escalera, S.; Ayache, S.; Wan, J.; Madadi, M.; Güçlü, U. ; Baró, X.

2019, Book editorial

Simulating neuroprosthetic vision for emotion recognition

Bollen, C.J.M.; Güçlü, U. ; Wezel, R.J.A. van ; Gerven, M.A.J. van ; Güçlütürk, Y.

2019, Article in monograph or in proceedings (2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), pp. 85-87)

Segmentation of photovoltaic panels in aerial photography using group equivariant FCNs

Bokkers, L.A.R. ; Ambrogioni, L. ; Güçlü, U.

2019, Article in monograph or in proceedings (Beuls, K.; Bogaerts, B.; Bontempi, G. (ed.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), pp. 1-11)

Temporal factorization of 3D convolutional kernels

Ras, G.E.H. ; Ambrogioni, L. ; Güçlü, U. ; Gerven, M.A.J. van

2019, Article in monograph or in proceedings (Beuls, K.; Bogaerts, B.; Bontempi, G. (ed.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), pp. 1-9)

First impressions: A survey on computer vision-based apparent personality trait analysis

Jacques Junior, J.C.S.; Güçlütürk, Y. ; Pérez, M.; Güçlü, U. ; Andujar, C.; Baró, X.; Escalante, H.J.; Guyon, I.; Gerven, M.A.J. van ; Lier, R.J. van ; et al.

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2019, Article / Letter to editor (IEEE Transactions on Affective Computing, (2019))

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

Neural coding with deep learning

Güçlü, U.

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)

Convolutional neural network-based encoding and decoding of visual object recognition in space and time

Seeliger, K. ; Fritsche, M. ; Güçlü, U. ; Schoenmakers, S. ; Schoffelen, J.M. ; Bosch, S.E. ; Gerven, M.A.J. van

2018, Article / Letter to editor (NeuroImage, vol. 180, iss. Part A, (2018), pp. 253-266)

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)

Increasingly complex representations of natural movies across the dorsal stream are shared between subjects

Güçlü, U. ; Gerven, M.A.J. van

2017, Article / Letter to editor (NeuroImage, vol. 145, iss. Part B, (2017), pp. 329-336)

Probing human brain function with artificial neural networks

Güçlü, U. ; Gerven, M.A.J. van

2017, Part of book or chapter of book (Moustafa, A.A. (ed.), Computational models of brain and behavior, pp. 413-423)

Modeling the dynamics of human brain activity with recurrent neural networks

Güçlü, U. ; Gerven, M.A.J. van

2017, Article / Letter to editor (Frontiers in Computational Neuroscience, vol. 11, (2017), article 7)

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.

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

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)

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)

Modeling brain responses to perceived speech with LSTM networks

Berezutskaya, Y. ; Freudenburg, Z.V. ; Ramsey, N.F.; Güçlü, U. ; Gerven, M.A.J. van

2017, Article in monograph or in proceedings (Duivesteijn, W.; Pechenizkiy, M.; Fletcher, G.H.L. (ed.), Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on Machine Learning, Technische Universiteit Eindhoven, 9-10 June 2017, pp. 149-153)

Neural tuning to low-level features of speech throughout the perisylvian cortex

Berezutskaya, Y. ; Freudenburg, Z.V. ; Güçlü, U. ; Gerven, M.A.J. van ; Ramsey, N.F.

2017, Article / Letter to editor (The Journal of Neuroscience, vol. 37, iss. 33, (2017), pp. 7906-7920)

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.

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

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)

Brains on beats

Güçlü, U. ; Thielen, J. ; Hanke, M.; Gerven, M.A.J. van

2016, Article in monograph or in proceedings (Lee, D.D.; Sugiyama, M.; Luxburg, U.V. (ed.), Advances in Neural Information Processing Systems 29 (NIPS 2016), pp. 1-9)

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)

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)

Deep neural networks reveal a gradient in the complexity of neural representations across the ventral stream

Güçlü, U. ; Gerven, M.A.J. van

2015, Article / Letter to editor (The Journal of Neuroscience, vol. 35, iss. 27, (2015), pp. 10005-10014)

Gaussian mixture models and semantic gating improve reconstructions from human brain activity

Schoenmakers, S. ; Güçlü, U. ; Gerven, M.A.J. van ; Heskes, T.

2015, Article / Letter to editor (Frontiers in Computational Neuroscience, vol. 8, (2015), article 173)

Unsupervised feature learning improves prediction of human brain activity in response to natural images

Güçlü, U. ; Gerven, M.A.J. van

2014, Article / Letter to editor (Plos Computational Biology, vol. 10, iss. 8, (2014), article e1003724)

Gaussian mixture models improve fMRI-based image reconstruction

Schoenmakers, S. ; Güçlü, U. ; Heskes, T. ; Gerven, M.A.J. van

2014, Part of book or chapter of book (PRNI 2014: 2014 International Workshop on Pattern Recognition in Neuroimaging, Tübingen, June 4-6 2014 : Proceedings, pp. 1-4)

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