Iryna Korshunova
Iryna Korshunova
Verified email at ugent.be - Homepage
Title
Cited by
Cited by
Year
Fast face-swap using convolutional neural networks
I Korshunova, W Shi, J Dambre, L Theis
Proceedings of the IEEE International Conference on Computer Vision, 3677-3685, 2017
1102017
Crowdsourcing reproducible seizure forecasting in human and canine epilepsy
BH Brinkmann, J Wagenaar, D Abbot, P Adkins, SC Bosshard, M Chen, ...
Brain 139 (6), 1713-1722, 2016
1052016
Music transcription modelling and composition using deep learning
BL Sturm, JF Santos, O Ben-Tal, I Korshunova
arXiv preprint arXiv:1604.08723, 2016
922016
Faster gaze prediction with dense networks and fisher pruning
L Theis, I Korshunova, A Tejani, F Huszár
arXiv preprint arXiv:1801.05787, 2018
772018
Towards improved design and evaluation of epileptic seizure predictors
I Korshunova, PJ Kindermans, J Degrave, T Verhoeven, BH Brinkmann, ...
IEEE Transactions on Biomedical Engineering 65 (3), 502-510, 2017
242017
Classifying plankton with deep neural networks
S Dieleman, A Van den Oord, I Korshunova, J Burms, J Degrave, L Pigou, ...
Blog entry 3, 4, 2015
22*2015
Bruno: A deep recurrent model for exchangeable data
I Korshunova, J Degrave, F Huszár, Y Gal, A Gretton, J Dambre
Advances in Neural Information Processing Systems, 7190-7198, 2018
16*2018
Folk music style modelling by recurrent neural networks with long short term memory units
B Sturm, JF Santos, I Korshunova
16th International Society for Music Information Retrieval Conference, 2015
162015
Conditional BRUNO: A neural process for exchangeable labelled data
I Korshunova, Y Gal, A Gretton, J Dambre
Neurocomputing, 2020
6*2020
Diagnosing heart diseases with deep neural networks
I Korshunova
Mar, 2016
52016
Epileptic seizure prediction using deep learning
I Korshunova, O Thas
Universiteit Gent. Belgium, 2015
52015
Music transcription modelling and composition using deep learning. arXiv 2016
BL Sturm, JF Santos, O Ben-Tal, I Korshunova
arXiv preprint arXiv:1604.08723, 0
4
Discriminative topic modeling with logistic lda
I Korshunova, H Xiong, M Fedoryszak, L Theis
Advances in Neural Information Processing Systems, 6770-6780, 2019
22019
Exchangeable Models in Meta Reinforcement Learning
I Korshunova, J Degrave, J Dambre, A Gretton, F Huszár
2020
Fast face-morphing using neural networks
L Theis, I Korshunova, W Shi, Z Wang
US Patent 10,552,977, 2020
2020
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