| 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 | 138 | 2017 |
| 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 | 114 | 2016 |
| Music transcription modelling and composition using deep learning BL Sturm, JF Santos, O Ben-Tal, I Korshunova arXiv preprint arXiv:1604.08723, 2016 | 99 | 2016 |
| Faster gaze prediction with dense networks and fisher pruning L Theis, I Korshunova, A Tejani, F Huszár arXiv preprint arXiv:1801.05787, 2018 | 86 | 2018 |
| 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 | 28 | 2017 |
| 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 31, 7190-7198, 2018 | 20 | 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 | 20 | 2015 |
| Conditional BRUNO: A neural process for exchangeable labelled data I Korshunova, Y Gal, A Gretton, J Dambre Neurocomputing, 2020 | 7* | 2020 |
| Discriminative topic modeling with logistic lda I Korshunova, H Xiong, M Fedoryszak, L Theis Advances in neural information processing systems, 6770-6780, 2019 | 5 | 2019 |
| Diagnosing heart diseases with deep neural networks I Korshunova Mar, 2016 | 5 | 2016 |
| Epileptic seizure prediction using deep learning I Korshunova, O Thas Universiteit Gent. Belgium, 2015 | 5 | 2015 |
| 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 | |
| Fast face-morphing using neural networks L Theis, I Korshunova, W Shi, Z Wang US Patent 10,552,977, 2020 | 1 | 2020 |
| Exchangeable Models in Meta Reinforcement Learning I Korshunova, J Degrave, J Dambre, A Gretton, F Huszár | | 2020 |
| BRUNO: Exchangeable Deep Learning Models of Predictive Distributions I Korshunova Ghent University, 2020 | | 2020 |
Joni DambreHoofddocent, Ghent UniversityVerified email at ugent.be
