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Researcher
Iryna Korshunova
Profile
Projects
Publications
Activities
Awards & Distinctions
11
Results
2020
BRUNO : exchangeable deep learning models of predictive distributions
Iryna Korshunova
Joni Dambre
A. Gretton
Dissertation
2020
Conditional BRUNO : a neural process for exchangeable labelled data
Iryna Korshunova
Yarin Gal
Arthur Gretton
Joni Dambre
A1
Journal Article
in
NEUROCOMPUTING
2020
2019
Conditional BRUNO : a neural process for exchangeable labelled data
Iryna Korshunova
Yarin Gal
Arthur Gretton
Joni Dambre
C1
Conference
2019
Discriminative topic modeling with logistic LDA
Iryna Korshunova
Hanchen Xiong
Mateusz Fedoryszak
Lucas Theis
P1
Conference
2019
2018
BRUNO : a deep recurrent model for exchangeable data
Iryna Korshunova
Jonas Degrave
Ferenc Huszar
Yarin Gal
Arthur Gretton
Joni Dambre
P1
Conference
2018
Towards improved design and evaluation of epileptic seizure predictors
Iryna Korshunova
Pieter-Jan Kindermans
Jonas Degrave
Thibault Verhoeven
Benjamin Brinkmann
Joni Dambre
A1
Journal Article
in
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
2018
2017
Fast face-swap using convolutional neural networks
Iryna Korshunova
Wenzhe Shi
Joni Dambre
Lucas Theis
P1
Conference
2017
2016
Crowdsourcing reproducible seizure forecasting in human and canine epilepsy
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.
A1
Journal Article
in
BRAIN
2016
Music Transcription Modelling and Composition Using Deep Learning
Bob Sturm
João Felipe Santos
Oded Ben-Tal
Iryna Korshunova
C1
Conference
2016
Using deep learning to estimate systolic and diastolic volumes from MRI-images
Jonas Degrave
Jeroen Burms
Iryna Korshunova
Joni Dambre
C3
Conference
2016
2015
Folk music style modelling by recurrent neural networks with long short term memory units
Bob Sturm
João Felipe Santos
Iryna Korshunova
C3
Conference
2015