Ulrik R. Beierholm

According to our database, Ulrik R. Beierholm authored at least 13 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Evaluating Gaussian Grasp Maps for Generative Grasping Models.

William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm

Proceedings of the International Joint Conference on Neural Networks, 2022

2020

Improving Robotic Grasping on Monocular Images Via Multi-Task Learning and Positional Loss.

William Prew, Toby P. Breckon, Magnus Bordewich, Ulrik R. Beierholm

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Using Occam's razor and Bayesian modelling to compare discrete and continuous representations in numerostiy judgements.

Jake Spicer, Adam Sanborn, Ulrik R. Beierholm

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2017

A non-parametric Bayesian prior for causal inference of auditory streaming.

Tim Yates, Nathanael Larigaldie, Ulrik R. Beierholm

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016

Fast and Accurate Learning When Making Discrete Numerical Estimates.

Adam N. Sanborn, Ulrik R. Beierholm

PLoS Comput. Biol., 2016

2014

Perception, Bayesian Models of.

Ulrik R. Beierholm

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Bayesian Approaches in Computational Neuroscience: Overview.

Ulrik R. Beierholm

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2013

Bayes Optimality of Human Perception, Action and Learning: Behavioural and Neural Evidence.

Ulrik R. Beierholm

Proceedings of the Brain-Inspired Computing - International Workshop, 2013

2011

Separate encoding of model-based and model-free valuations in the human brain.

Ulrik R. Beierholm, Cedric Anen, Steven Quartz, Peter Bossaerts

NeuroImage, 2011

Vigor in the Face of Fluctuating Rates of Reward: An Experimental Examination.

Marc Guitart-Masip, Ulrik R. Beierholm, Raymond J. Dolan, Emrah Düzel, Peter Dayan

J. Cogn. Neurosci., 2011

2010

Probability Matching as a Computational Strategy Used in Perception.

David R. Wozny, Ulrik R. Beierholm, Ladan Shams

PLoS Comput. Biol., 2010

Pavlovian-Instrumental Interaction in 'Observing Behavior'.

Ulrik R. Beierholm, Peter Dayan

PLoS Comput. Biol., 2010

2007

Comparing Bayesian models for multisensory cue combination without mandatory integration.

Ulrik R. Beierholm, Konrad P. Körding, Ladan Shams, Wei Ji Ma

Proceedings of the Advances in Neural Information Processing Systems 20, 2007