Researcher
Iryna Korshunova
- Keywords:Bayesian methods, deep learning
- Disciplines:Other computer engineering, information technology and mathematical engineering not elsewhere classified, Mathematical software, Scientific computing not elsewhere classified
Affiliations
- Department of Electronics and information systems (Department)
Member
From2 Sep 2015 → 26 Sep 2021
Projects
1 - 1 of 1
- Sign language translation using deep learningFrom1 Oct 2015 → 30 Sep 2019Funding: BOF - Doctoral projects
Publications
1 - 10 of 10
- BRUNO : exchangeable deep learning models of predictive distributions(2020)
Authors: Iryna Korshunova
- Conditional BRUNO : a neural process for exchangeable labelled data(2019)
Authors: Iryna Korshunova, Yarin Gal, Arthur Gretton, Joni Dambre
Pages: 1 - 6 - Discriminative topic modeling with logistic LDA(2019)Volume: 32
Authors: Iryna Korshunova, Hanchen Xiong, Mateusz Fedoryszak, Lucas Theis, H. Wallah, H. Larochelle, A. Beygelzimer, F. d'Alche-Buc, E. Fox, R. Garnett
Pages: 1 - 11 - Fast face-swap using convolutional neural networks(2017)
Authors: Iryna Korshunova, Wenzhe Shi, Joni Dambre, Lucas Theis
Pages: 3697 - 3705 - Crowdsourcing reproducible seizure forecasting in human and canine epilepsy(2016)
Authors: Benjamin H. Brinkmann, Joost Wagenaar, Drew Abbot, Phillip Adkins, Simone C Bosshard, Min Chen, Quang M Tieng, Jialune He, FJ Muñoz-Almaraz, Paloma Botella-Rocamora, et al.
Pages: 1713 - 1722 - Folk music style modelling by recurrent neural networks with long short term memory units(2015)
Authors: Bob Sturm, João Felipe Santos, Iryna Korshunova
Number of pages: 1 - BRUNO : a deep recurrent model for exchangeable dataVolume: 31
Authors: Iryna Korshunova, Jonas Degrave, Ferenc Huszar, Yarin Gal, Arthur Gretton, Joni Dambre
Pages: 1 - 9 - Conditional BRUNO : a neural process for exchangeable labelled data
Authors: Iryna Korshunova, Yarin Gal, Arthur Gretton, Joni Dambre
Pages: 305 - 309 - Towards improved design and evaluation of epileptic seizure predictors
Authors: Iryna Korshunova, Pieter-Jan Kindermans, Jonas Degrave, Thibault Verhoeven, Benjamin Brinkmann, Joni Dambre
Pages: 502 - 510 - Using deep learning to estimate systolic and diastolic volumes from MRI-images
Authors: Jonas Degrave, Jeroen Burms, Iryna Korshunova, Joni Dambre
Number of pages: 1