Luigi Acerbi

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Wei Ji MaProfessor of Neuroscience and Psychology at New York UniversityVerified email at nyu.edu
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UKVerified email at ed.ac.uk
Daniel WolpertProfessor of Neuroscience, Columbia UniversityVerified email at columbia.edu
Alberto DennunzioDipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-BicoccaVerified email at disco.unimib.it
Enrico FormentiProfessor in Computer Science, Université Côte d'AzurVerified email at univ-cotedazur.fr
Dora E AngelakiProfessorVerified email at nyu.edu
Samuel KaskiProfessor, Aalto University and University of ManchesterVerified email at aalto.fi
Michael S LandyProfessor of Psychology and Neural Science, New York UniversityVerified email at nyu.edu
Bas van OpheusdenPrinceton UniversityVerified email at princeton.edu
Aspen H. YooPostdoctoral researcher, UC BerkeleyVerified email at berkeley.edu
Markus HeinonenAcademy research Fellow, Aalto UniversityVerified email at aalto.fi
Trung TrinhDoctoral candidateVerified email at aalto.fi
Nisheet PatelUniversity of GenevaVerified email at unige.ch
Alexandre PougetUniversity of GenevaVerified email at unige.ch
Megan A. K. PetersUC Irvine, NeuromatchVerified email at uci.edu
Bernard Marius 't HartYork University, TorontoVerified email at yorku.ca
Diego MesquitaGetulio Vargas FoundationVerified email at aalto.fi
Chengkun LiUniversity of HelsinkiVerified email at helsinki.fi
Xiang LiPh.D. Candidate, New York UniversityVerified email at nyu.edu
Suyog ChandramouliAalto UniversityVerified email at aalto.fi

Luigi Acerbi

Assistant Professor of Machine and Human Intelligence, University of Helsinki

Verified email at helsinki.fi - Homepage

Machine Learning Bayesian Optimization Computational Neuroscience Probabilistic Inference Decision-making


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On the Origins of Suboptimality in Human Probabilistic Inference L Acerbi, S Vijayakumar, DM Wolpert PLOS Computational Biology 10 (6), e1003661, 2014	194	2014
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	186	2012
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search L Acerbi, WJ Ma Advances in Neural Information Processing Systems (NeurIPS 2017) 30, 1834-1844, 2017	183	2017
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	79	2018
A Framework for Testing Identifiability of Bayesian Models of Perception L Acerbi, WJ Ma, S Vijayakumar Advances in Neural Information Processing Systems (NeurIPS 2014) 27, 1026-1034, 2014	59	2014
Variational Bayesian Monte Carlo L Acerbi Advances in Neural Information Processing Systems (NeurIPS 2018) 31, 8223-8233, 2018	56	2018
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	55	2009
Unbiased and efficient log-likelihood estimation with inverse binomial sampling B van Opheusden, L Acerbi, WJ Ma PLOS Computational Biology 16 (12), e1008483, 2020	26	2020
Variational Bayesian Monte Carlo with Noisy Likelihoods L Acerbi Advances in Neural Information Processing Systems (NeurIPS 2020) 33, 2020	26	2020
Human online adaptation to changes in prior probability EH Norton, L Acerbi, WJ Ma, MS Landy PLOS Computational Biology 15 (7), e1006681, 2019	26	2019
Shifting and lifting of cellular automata L Acerbi, A Dennunzio, E Formenti Computation and Logic in the Real World, 1-10, 2007	23	2007
Target Uncertainty Mediates Sensorimotor Error Correction L Acerbi, S Vijayakumar, DM Wolpert PLOS ONE 12 (1), e0170466, 2017	19	2017
Uncertainty is maintained and used in working memory AH Yoo, L Acerbi, WJ Ma Journal of Vision 21 (8), 13, 2021	14	2021
The role of sensory uncertainty in simple contour integration Y Zhou, L Acerbi, WJ Ma PLOS Computational Biology, 2020 16 (11), e1006308, 2020	12*	2020
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	12	2013
An Exploration of Acquisition and Mean Functions in Variational Bayesian Monte Carlo L Acerbi Symposium on Advances in Approximate Bayesian Inference (AABI), 1-10, 2019	8	2019
Tackling covariate shift with node-based Bayesian neural networks T Trinh, M Heinonen, L Acerbi, S Kaski 39th International Conference on Machine Learning (ICML 2022), 2022	4	2022
Dynamic allocation of limited memory resources in reinforcement learning N Patel, L Acerbi, A Pouget Advances in Neural Information Processing Systems (NeurIPS 2020) 33, 2020	3	2020
Parallel MCMC Without Embarrassing Failures DA de Souza, D Mesquita, S Kaski, L Acerbi 25th Int. Conf. on Artificial Intelligence & Statistics (AISTATS 2022), PMLR …, 2022	2	2022
Complex internal representations in sensorimotor decision making: a Bayesian investigation L Acerbi The University of Edinburgh, 2015	2	2015

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