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
Samuel KaskiProfessor, Aalto University and University of ManchesterVerified email at aalto.fi
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
Markus HeinonenAcademy research Fellow, Aalto UniversityVerified email at aalto.fi
Bas van OpheusdenPrinceton UniversityVerified email at princeton.edu
Michael S LandyProfessor of Psychology and Neural Science, New York UniversityVerified email at nyu.edu
Trung TrinhDoctoral candidateVerified email at aalto.fi
Chengkun LiUniversity of HelsinkiVerified email at helsinki.fi
Daolang HuangAalto UniversityVerified email at aalto.fi
Grégoire Clartépost doc,University of HelsinkiVerified email at helsinki.fi
Diego MesquitaGetulio Vargas FoundationVerified email at fgv.br
Daniel Augusto de SouzaPhD Student, UCLVerified email at ucl.ac.uk
Yanli ZhouNew York UniversityVerified email at nyu.edu
Ayush BhartiAcademy research fellow at Aalto UniversityVerified email at aalto.fi
Amauri H. SouzaFederal Institute of Ceará (IFCE)Verified email at ifce.edu.br
Nisheet PatelUniversity of GenevaVerified email at unige.ch

Luigi Acerbi

Associate Professor of Machine and Human Intelligence, University of Helsinki

Verified email at helsinki.fi - Homepage

Machine Learning Bayesian Optimization Computational Neuroscience Probabilistic Inference


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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	263	2017
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	213	2012
On the Origins of Suboptimality in Human Probabilistic Inference L Acerbi, S Vijayakumar, DM Wolpert PLOS Computational Biology 10 (6), e1003661, 2014	203	2014
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	102	2018
Variational Bayesian Monte Carlo L Acerbi Advances in Neural Information Processing Systems (NeurIPS 2018) 31, 8223-8233, 2018	74	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	63	2014
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	62	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	45	2020
Variational Bayesian Monte Carlo with Noisy Likelihoods L Acerbi Advances in Neural Information Processing Systems (NeurIPS 2020) 33, 2020	39	2020
Human online adaptation to changes in prior probability EH Norton, L Acerbi, WJ Ma, MS Landy PLOS Computational Biology 15 (7), e1006681, 2019	35	2019
Uncertainty is maintained and used in working memory AH Yoo, L Acerbi, WJ Ma Journal of Vision 21 (8), 13, 2021	24	2021
Shifting and lifting of cellular automata L Acerbi, A Dennunzio, E Formenti Computation and Logic in the Real World, 1-10, 2007	24	2007
Target Uncertainty Mediates Sensorimotor Error Correction L Acerbi, S Vijayakumar, DM Wolpert PLOS ONE 12 (1), e0170466, 2017	20	2017
The role of sensory uncertainty in simple contour integration Y Zhou, L Acerbi, WJ Ma PLOS Computational Biology, 2020 16 (11), e1006308, 2020	16*	2020
Brain-wide representations of prior information in mouse decision-making C Findling, F Hubert, International Brain Laboratory, L Acerbi, B Benson, ... bioRxiv, 2023.07. 04.547684, 2023	15	2023
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	13	2013
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	12	2022
Learning Robust Statistics for Simulation-based Inference under Model Misspecification D Huang, A Bharti, A Souza, L Acerbi, S Kaski Advances in Neural Information Processing Systems (NeurIPS 2023) 36, 2023	11	2023
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	9	2019
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	7	2020

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