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2020 – today
- 2024
[i17]Florian P. Mahner, Lukas Muttenthaler, Umut Güçlü, Martin N. Hebart:
Dimensions underlying the representational alignment of deep neural networks with humans. CoRR abs/2406.19087 (2024)- 2022
- [j14]Burcu Küçükoglu, Bodo Rueckauer, Nasir Ahmad, Jaap de Ruyter van Steveninck, Umut Güçlü, Marcel van Gerven:
Optimization of Neuroprosthetic Vision via End-to-End Deep Reinforcement Learning. Int. J. Neural Syst. 32(11): 2250052:1-2250052:16 (2022) - [j13]Júlio C. S. Jacques Júnior
, Yagmur Güçlütürk, Marc Pérez, Umut Güçlü, Carlos Andújar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel A. J. van Gerven, Rob van Lier, Sergio Escalera:
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis. IEEE Trans. Affect. Comput. 13(1): 75-95 (2022) - [j12]Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, Furkan Gürpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier:
Modeling, Recognizing, and Explaining Apparent Personality From Videos. IEEE Trans. Affect. Comput. 13(2): 894-911 (2022) - [i16]Burcu Küçükoglu, Walraaf Borkent, Bodo Rueckauer, Nasir Ahmad, Umut Güçlü, Marcel van Gerven:
Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization. CoRR abs/2211.06236 (2022) - 2021
- [j11]Linda Geerligs, Marcel van Gerven, Umut Güçlü:
Detecting neural state transitions underlying event segmentation. NeuroImage 236: 118085 (2021) - [j10]Katja Seeliger, Luca Ambrogioni, Yagmur Güçlütürk, L. M. van den Bulk, Umut Güçlü, Marcel A. J. van Gerven:
End-to-end neural system identification with neural information flow. PLoS Comput. Biol. 17(2) (2021) - [i15]Sergio Escalera, Marti Soler, Stéphane Ayache, Umut Güçlü, Jun Wan, Meysam Madadi, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon:
ChaLearn Looking at People: Inpainting and Denoising challenges. CoRR abs/2106.13071 (2021) - 2020
- [j9]Sergio Escalera, Hugo Jair Escalante, Xavier Baró, Isabelle Guyon, Meysam Madadi, Jun Wan, Stéphane Ayache, Yagmur Güçlütürk, Umut Güçlü:
Guest Editorial: Image and Video Inpainting and Denoising. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1021-1024 (2020) - [j8]Julia Berezutskaya, Zachary Freudenburg, Umut Güçlü, Marcel A. J. van Gerven, Nick F. Ramsey:
Brain-optimized extraction of complex sound features that drive continuous auditory perception. PLoS Comput. Biol. 16(7) (2020) - [c15]Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Marcel van Gerven, François Laviolette:
The Indian Chefs Process. UAI 2020: 600-608 - [i14]Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-draa, Marcel van Gerven, François Laviolette:
The Indian Chefs Process. CoRR abs/2001.10657 (2020) - [i13]Gabriëlle Ras, Luca Ambrogioni, Pim Haselager, Marcel A. J. van Gerven, Umut Güçlü:
Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations. CoRR abs/2006.15983 (2020)
2010 – 2019
- 2019
- [c14]Caroline J. M. Bollen, Umut Güçlü, Richard J. A. van Wezel, Marcel A. J. van Gerven, Yagmur Güçlütürk:
Simulating neuroprosthetic vision for emotion recognition. ACII Workshops 2019: 85-87 - [c13]Luca Ambrogioni, Umut Güçlü, Julia Berezutskaya, Eva W. P. van den Borne, Yagmur Güçlütürk, Max Hinne, Eric Maris, Marcel van Gerven:
Forward Amortized Inference for Likelihood-Free Variational Marginalization. AISTATS 2019: 777-786 - [c12]Luca Ambrogioni, Patrick Ebel, Max Hinne, Umut Güçlü, Marcel van Gerven, Eric Maris:
SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity. AISTATS 2019: 787-795 - [c11]Lars Bokkers, Luca Ambrogioni, Umut Güçlü:
Segmentation of Photovoltaic Panels in Aerial Photography Using Group Equivariant FCNs. BNAIC/BENELEARN 2019 - [c10]Gabrielle Ras, Luca Ambrogioni, Umut Güçlü, Marcel van Gerven:
Temporal Factorization of 3D Convolutional Kernels. BNAIC/BENELEARN 2019 - [p1]Marcel A. J. van Gerven, Katja Seeliger, Umut Güçlü, Yagmur Güçlütürk:
Current Advances in Neural Decoding. Explainable AI 2019: 379-394 - [i12]Luca Ambrogioni, Umut Güçlü, Marcel van Gerven:
k-GANs: Ensemble of Generative Models with Semi-Discrete Optimal Transport. CoRR abs/1907.04050 (2019) - [i11]Gabriëlle Ras, Luca Ambrogioni, Umut Güçlü, Marcel A. J. van Gerven:
Temporal Factorization of 3D Convolutional Kernels. CoRR abs/1912.04075 (2019) - [i10]Gabriëlle Ras, Ron Dotsch, Luca Ambrogioni, Umut Güçlü, Marcel A. J. van Gerven:
Background Hardly Matters: Understanding Personality Attribution in Deep Residual Networks. CoRR abs/1912.09831 (2019) - 2018
- [j7]Katja Seeliger, M. Fritsche, Umut Güçlü, Sanne Schoenmakers, Jan-Mathijs Schoffelen, Sander E. Bosch, Marcel van Gerven:
Convolutional neural network-based encoding and decoding of visual object recognition in space and time. NeuroImage 180(Part): 253-266 (2018) - [j6]Katja Seeliger, Umut Güçlü, Luca Ambrogioni, Yagmur Güçlütürk, Marcel A. J. van Gerven:
Generative adversarial networks for reconstructing natural images from brain activity. NeuroImage 181: 775-785 (2018) - [j5]Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Marcel A. J. van Gerven, Rob van Lier:
Multimodal First Impression Analysis with Deep Residual Networks. IEEE Trans. Affect. Comput. 9(3): 316-329 (2018) - [c9]Luca Ambrogioni, Umut Güçlü, Yagmur Güçlütürk, Max Hinne, Marcel A. J. van Gerven, Eric Maris:
Wasserstein Variational Inference. NeurIPS 2018: 2478-2487 - [i9]Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Güçlütürk, Umut Güçlü, Xavier Baró, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Stéphane Ayache, Evelyne Viegas, Furkan Gürpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier:
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos. CoRR abs/1802.00745 (2018) - [i8]Júlio C. S. Jacques Júnior, Yagmur Güçlütürk, Marc Pérez, Umut Güçlü, Carlos Andújar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel A. J. van Gerven, Rob van Lier, Sergio Escalera:
First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis. CoRR abs/1804.08046 (2018) - [i7]Luca Ambrogioni, Umut Güçlü, Yagmur Güçlütürk, Max Hinne, Marcel A. J. van Gerven, Eric Maris:
Wasserstein Variational Inference. CoRR abs/1805.11284 (2018) - [i6]Luca Ambrogioni, Umut Güçlü, Julia Berezutskaya, Eva W. P. van den Borne, Yagmur Güçlütürk, Max Hinne, Eric Maris, Marcel A. J. van Gerven:
Forward Amortized Inference for Likelihood-Free Variational Marginalization. CoRR abs/1805.11542 (2018) - [i5]Luca Ambrogioni, Umut Güçlü, Yagmur Güçlütürk, Marcel van Gerven:
Wasserstein Variational Gradient Descent: From Semi-Discrete Optimal Transport to Ensemble Variational Inference. CoRR abs/1811.02827 (2018) - 2017
- [j4]Umut Güçlü, Marcel A. J. van Gerven:
Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks. Frontiers Comput. Neurosci. 11: 7 (2017) - [j3]Umut Güçlü, Marcel A. J. van Gerven:
Increasingly complex representations of natural movies across the dorsal stream are shared between subjects. NeuroImage 145: 329-336 (2017) - [c8]Yagmur Güçlütürk, Umut Güçlü, Marc Pérez, Hugo Jair Escalante, Xavier Baró, Carlos Andújar, Isabelle Guyon, Júlio C. S. Jacques Júnior, Meysam Madadi, Sergio Escalera, Marcel A. J. van Gerven, Rob van Lier:
Visualizing Apparent Personality Analysis with Deep Residual Networks. ICCV Workshops 2017: 3101-3109 - [c7]Hugo Jair Escalante, Isabelle Guyon, Sergio Escalera, Júlio C. S. Jacques Júnior, Meysam Madadi, Xavier Baró, Stéphane Ayache, Evelyne Viegas, Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier:
Design of an explainable machine learning challenge for video interviews. IJCNN 2017: 3688-3695 - [c6]Yagmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander E. Bosch, Rob van Lier, Marcel A. J. van Gerven:
Reconstructing perceived faces from brain activations with deep adversarial neural decoding. NIPS 2017: 4246-4257 - [i4]Umut Güçlü, Yagmur Güçlütürk, Meysam Madadi, Sergio Escalera, Xavier Baró, Jordi Gonzàlez, Rob van Lier, Marcel A. J. van Gerven:
End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks. CoRR abs/1703.03305 (2017) - [i3]Yagmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander E. Bosch, Rob van Lier, Marcel van Gerven:
Deep adversarial neural decoding. CoRR abs/1705.07109 (2017) - 2016
- [c5]Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier:
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition. ECCV Workshops (3) 2016: 349-358 - [c4]Yagmur Güçlütürk, Umut Güçlü, Rob van Lier, Marcel A. J. van Gerven:
Convolutional Sketch Inversion. ECCV Workshops (1) 2016: 810-824 - [c3]Umut Güçlü, Jordy Thielen, Michael Hanke, Marcel van Gerven, Marcel A. J. van Gerven:
Brains on Beats. NIPS 2016: 2101-2109 - [i2]Yagmur Güçlütürk, Umut Güçlü, Rob van Lier, Marcel A. J. van Gerven:
Convolutional Sketch Inversion. CoRR abs/1606.03073 (2016) - [i1]Yagmur Güçlütürk, Umut Güçlü, Marcel A. J. van Gerven, Rob van Lier:
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition. CoRR abs/1609.05119 (2016) - 2014
- [j2]Sanne Schoenmakers, Umut Güçlü, Marcel van Gerven, Tom Heskes:
Gaussian mixture models and semantic gating improve reconstructions from human brain activity. Frontiers Comput. Neurosci. 8: 173 (2014) - [j1]Umut Güçlü, Marcel A. J. van Gerven:
Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images. PLoS Comput. Biol. 10(8) (2014) - 2011
- [c2]Umut Güçlü, Yagmur Güçlütürk, Chu Kiong Loo:
Evaluation of fractal dimension estimation methods for feature extraction in motor imagery based brain computer interface. WCIT 2011: 589-594 - 2010
- [c1]Umut Güçlü, Yagmur Güçlütürk, Andrews Samraj:
A novel approach to improve the performance of the P300 speller paradigm. SMC 2010: 3786-3790
Coauthor Index
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last updated on 2024-09-10 02:08 CEST by the dblp team
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