Luigi Acerbi
Title
Cited by
Cited by
Year
On the Origins of Suboptimality in Human Probabilistic Inference
L Acerbi, S Vijayakumar, DM Wolpert
PLOS Computational Biology 10 (6), e1003661, 2014
1512014
Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval Timing
L Acerbi, DM Wolpert, S Vijayakumar
PLoS computational biology 8 (11), e1002771, 2012
1362012
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search
L Acerbi, WJ Ma
Advances in Neural Information Processing Systems, 1834-1844, 2017
822017
Conservation of some dynamical properties for operations on cellular automata
L Acerbi, A Dennunzio, E Formenti
Theoretical Computer Science 410 (38-40), 3685-3693, 2009
522009
A Framework for Testing Identifiability of Bayesian Models of Perception
L Acerbi, WJ Ma, S Vijayakumar
Advances in Neural Information Processing Systems, 1026-1034, 2014
462014
Bayesian comparison of explicit and implicit causal inference strategies in multisensory heading perception
L Acerbi, K Dokka, DE Angelaki, WJ Ma
PLOS Computational Biology 14 (7), e1006110, 2018
272018
Shifting and lifting of cellular automata
L Acerbi, A Dennunzio, E Formenti
Computation and Logic in the Real World, 1-10, 2007
232007
Variational Bayesian Monte Carlo
L Acerbi
Advances in Neural Information Processing Systems, 8223-8233, 2018
162018
Target Uncertainty Mediates Sensorimotor Error Correction
L Acerbi, S Vijayakumar, DM Wolpert
PLOS ONE 12 (1), e0170466, 2017
142017
Surjective multidimensional cellular automata are non-wandering: A combinatorial proof
L Acerbi, A Dennunzio, E Formenti
Information Processing Letters 113 (5-6), 156-159, 2013
122013
Human online adaptation to changes in prior probability
EH Norton, L Acerbi, WJ Ma, MS Landy
PLOS Computational Biology 15 (7), e1006681, 2019
82019
An Exploration of Acquisition and Mean Functions in Variational Bayesian Monte Carlo
L Acerbi
Symposium on Advances in Approximate Bayesian Inference, 1-10, 2019
32019
Complex internal representations in sensorimotor decision making: a Bayesian investigation
L Acerbi
The University of Edinburgh, 2015
32015
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling
B van Opheusden, L Acerbi, WJ Ma
arXiv preprint arXiv:2001.03985, 2020
12020
The Role of Sensory Uncertainty in Simple Contour Integration
Y Zhou, L Acerbi, WJ Ma
bioRxiv, 350082, 2019
1*2019
Variational Bayesian Monte Carlo with Noisy Likelihoods
L Acerbi
arXiv preprint arXiv:2006.08655, 2020
2020
Approximate Inference through Sequential Measurements of Likelihoods Accounts for Hick's Law.
X Li, L Acerbi, WJ Ma
CogSci, 3510, 2019
2019
The Role of Memory Uncertainty in Change Localization
A Yoo, L Acerbi, WJ Ma
Journal of Vision 17 (10), 103-103, 2017
2017
The role of uncertainty in perceptual organization
Y Zhou, L Acerbi, WJ Ma
Journal of Vision 17 (10), 746-746, 2017
2017
The role of memory uncertainty in change detection
A Yoo, L Acerbi, E Orhan, WJ Ma
Journal of Vision 16 (12), 1432-1432, 2016
2016
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Articles 1–20