Gergo Bohner

According to our database, Gergo Bohner authored at least 8 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Development and assessment of a machine learning tool for predicting emergency admission in Scotland.

James Liley, Gergo Bohner, Samuel R. Emerson, Bilal A. Mateen, Katie Borland, David Carr, Scott Heald, Samuel D. Oduro, Jill Ireland, Keith Moffat, Rachel Porteous, Stephen Riddell, Simon Rogers, Ioanna Thoma, Nathan Cunningham, Chris Holmes, Katrina Payne, Sebastian J. Vollmer, Catalina A. Vallejos, Louis J. M. Aslett

npj Digit. Medicine, 2024

Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland.

James Liley, Gergo Bohner, Samuel R. Emerson, Bilal A. Mateen, Katie Borland, David Carr, Scott Heald, Samuel D. Oduro, Jill Ireland, Keith Moffat, Rachel Porteous, Stephen Riddell, Simon Rogers, Ioanna Thoma, Nathan Cunningham, Chris Holmes, Katrina Payne, Sebastian J. Vollmer, Catalina A. Vallejos, Louis J. M. Aslett

npj Digit. Medicine, 2024

2019

Learning interpretable continuous-time models of latent stochastic dynamical systems.

Lea Duncker, Gergo Bohner, Julien Boussard, Maneesh Sahani

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness.

Sebastian J. Vollmer, Bilal A. Mateen, Gergo Bohner, Franz J. Király, Rayid Ghani, Pall Jonsson, Sarah Cumbers, Adrian Jonas, Katherine S. L. McAllister, Puja Myles, David Granger, Mark Birse, Richard Branson, Karel G. M. Moons, Gary S. Collins, John P. A. Ioannidis, Chris C. Holmes, Harry Hemingway

CoRR, 2018

Empirical fixed point bifurcation analysis.

Gergo Bohner, Maneesh Sahani

CoRR, 2018

2016

Score-matching estimators for continuous-time point-process regression models.

Maneesh Sahani, Gergo Bohner, Arne Meyer

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Convolutional higher order matching pursuit.

Gergo Bohner, Maneesh Sahani

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015

Unlocking neural population non-stationarities using hierarchical dynamics models.

Mijung Park, Gergo Bohner, Jakob H. Macke

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015