Luigi Acerbi

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Wei Ji MaProfessor of Neuroscience and Psychology at New York UniversityPatvirtintas el. paštas nyu.edu
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UKPatvirtintas el. paštas ed.ac.uk
Daniel WolpertProfessor of Neuroscience, Columbia UniversityPatvirtintas el. paštas columbia.edu
Samuel KaskiProfessor, Aalto University and University of ManchesterPatvirtintas el. paštas aalto.fi
Alberto DennunzioDipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-BicoccaPatvirtintas el. paštas disco.unimib.it
Enrico FormentiProfessor in Computer Science, Université Côte d'AzurPatvirtintas el. paštas univ-cotedazur.fr
Dora E AngelakiProfessorPatvirtintas el. paštas nyu.edu
Daolang HuangAalto UniversityPatvirtintas el. paštas aalto.fi
Markus HeinonenAcademy research Fellow, Aalto UniversityPatvirtintas el. paštas aalto.fi
Trung TrinhDoctoral candidatePatvirtintas el. paštas aalto.fi
Bas van OpheusdenPrinceton UniversityPatvirtintas el. paštas princeton.edu
Michael S LandyProfessor of Psychology and Neural Science, New York UniversityPatvirtintas el. paštas nyu.edu
Chengkun LiUniversity of HelsinkiPatvirtintas el. paštas helsinki.fi
Grégoire Clartépost doc,University of HelsinkiPatvirtintas el. paštas helsinki.fi
Ayush BhartiAcademy research fellow at Aalto UniversityPatvirtintas el. paštas aalto.fi
Amauri H. SouzaFederal Institute of Ceará (IFCE)Patvirtintas el. paštas ifce.edu.br
Ulpu RemesUniversity of HelsinkiPatvirtintas el. paštas helsinki.fi
Diego MesquitaGetulio Vargas FoundationPatvirtintas el. paštas fgv.br
Daniel Augusto de SouzaPhD Student, UCLPatvirtintas el. paštas ucl.ac.uk
Yanli ZhouNew York UniversityPatvirtintas el. paštas nyu.edu

Stebėti

Luigi Acerbi

Associate Professor of Machine and Human Intelligence, University of Helsinki

Patvirtintas el. paštas helsinki.fi - Pagrindinis puslapis

Machine Learning Bayesian Optimization Computational Neuroscience Probabilistic Inference


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	281	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	219	2012
On the Origins of Suboptimality in Human Probabilistic Inference L Acerbi, S Vijayakumar, DM Wolpert PLOS Computational Biology 10 (6), e1003661, 2014	211	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	104	2018
Variational Bayesian Monte Carlo L Acerbi Advances in Neural Information Processing Systems (NeurIPS 2018) 31, 8223-8233, 2018	80	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	66	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	63	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	47	2020
Variational Bayesian Monte Carlo with Noisy Likelihoods L Acerbi Advances in Neural Information Processing Systems (NeurIPS 2020) 33, 2020	44	2020
Human online adaptation to changes in prior probability EH Norton, L Acerbi, WJ Ma, MS Landy PLOS Computational Biology 15 (7), e1006681, 2019	37	2019
Uncertainty is maintained and used in working memory AH Yoo, L Acerbi, WJ Ma Journal of Vision 21 (8), 13, 2021	28	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
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	20	2023
Target Uncertainty Mediates Sensorimotor Error Correction L Acerbi, S Vijayakumar, DM Wolpert PLOS ONE 12 (1), e0170466, 2017	20	2017
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	18	2023
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
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
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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