Publications


Return Dispersion as an Estimator of Learning Potential for Prioritized Level Replay
Iryna Korshunova, Minqi Jiang, Jack Parker-Holder, Tim Rocktäschel, Edward Grefenstette
I Can't Believe It's Not Better! and Deep RL workshops at NeurIPS 2021
openreview poster

A Closer Look at the Adversarial Robustness of Information Bottleneck Models
Iryna Korshunova, David Stutz, Alexander A. Alemi, Olivia Wiles, Sven Gowal
Workshop on Adversarial Machine Learning at ICML 2021
openreview poster

BRUNO: Exchangeable Deep Learning Models of Predictive Distributions
Iryna Korshunova
PhD thesis, 2020
pdf

Exchangeable Models in Meta Reinforcement Learning
Iryna Korshunova, Jonas Degrave, Joni Dambre, Arthur Gretton, Ferenc Huszar
4th Lifelong Learning Workshop at ICML 2020
openreview code

Discriminative Topic Modeling with Logistic LDA
Iryna Korshunova, Hanchen Xiong, Mateusz Fedoryszak, Lucas Theis
Neural Information Processing Systems (NeurIPS), 2019
arxiv poster code

BRUNO: A Deep Recurrent Model for Exchangeable Data
Iryna Korshunova, Jonas Degrave, Ferenc Huszár, Yarin Gal, Arthur Gretton, Joni Dambre
Neural Information Processing Systems (NIPS), 2018
arxiv blog poster slides code

Conditional BRUNO: A Deep Recurrent Process for Exchangeable Labelled Data
Iryna Korshunova, Yarin Gal, Joni Dambre, Arthur Gretton
Bayesian Deep Learning NIPS workshop, 2018 and ESANN 2019
pdf poster code

Faster gaze prediction with dense networks and Fisher pruning
Lucas Theis, Iryna Korshunova, Alykhan Tejani, Ferenc Huszár
arXiv:1801.05787, 2018
arxiv blog

Fast face-swap using convolutional neural networks
Iryna Korshunova, Wenzhe Shi, Joni Dambre, Lucas Theis
International Conference on Computer Vision (ICCV), 2017
arxiv poster

Towards improved design and evaluation of epileptic seizure predictors
Iryna Korshunova, Pieter-Jan Kindermans, Jonas Degrave, Thibault Verhoeven, Benjamin H Brinkmann, Joni Dambre
IEEE Transactions on Biomedical Engineering, 65(3), 502-510, 2018
arxiv pdf code

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, Juan Pardo, Francisco Zamora-Martinez, Michael Hills, Wei Wu, Iryna Korshunova, Will Cukierski, Charles Vite, Edward E Patterson, Brian Litt, Gregory A Worrell
Brain, 139(6), 1713-1722, 2016
arxiv blog code

Music transcription modelling and composition using deep learning
Bob Sturm, Joao Felipe Santos, Oded Ben-Tal, Iryna Korshunova
arXiv:1604.08723, 2016
arxiv code

Folk music style modelling by recurrent neural networks with long short term memory units
Bob Sturm, Joao Felipe Santos, Iryna Korshunova
International Society for Music Information Retrieval Conference (late-breaking demo), 2015
pdf code