Luigi Acerbi 个人学术档案 - 学术资源搜索

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Wei Ji MaProfessor of Neuroscience and Psychology at New York University在 nyu.edu 的电子邮件经过验证
Sethu VijayakumarProfessor of Robotics, University of Edinburgh; Programme Director at The Alan Turing Institute, UK在 ed.ac.uk 的电子邮件经过验证
Daniel WolpertProfessor of Neuroscience, Columbia University在 columbia.edu 的电子邮件经过验证
Samuel KaskiProfessor, Aalto University and University of Manchester在 aalto.fi 的电子邮件经过验证
Alberto DennunzioDipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca在 disco.unimib.it 的电子邮件经过验证
Enrico FormentiProfessor in Computer Science, Université Côte d'Azur在 univ-cotedazur.fr 的电子邮件经过验证
Dora E AngelakiProfessor在 nyu.edu 的电子邮件经过验证
Bas van OpheusdenPrinceton University在 princeton.edu 的电子邮件经过验证
Michael S LandyProfessor of Psychology and Neural Science, New York University在 nyu.edu 的电子邮件经过验证
Markus HeinonenAcademy research Fellow, Aalto University在 aalto.fi 的电子邮件经过验证
Trung TrinhDoctoral candidate在 aalto.fi 的电子邮件经过验证
Daolang HuangAalto University在 aalto.fi 的电子邮件经过验证
Grégoire Clartépost doc,University of Helsinki在 helsinki.fi 的电子邮件经过验证
Chengkun LiUniversity of Helsinki在 helsinki.fi 的电子邮件经过验证
Diego MesquitaGetulio Vargas Foundation在 aalto.fi 的电子邮件经过验证
Daniel Augusto de SouzaPhD Student, UCL在 ucl.ac.uk 的电子邮件经过验证
Ayush BhartiPostdoctoral researcher at Aalto University在 aalto.fi 的电子邮件经过验证
Amauri H. SouzaFederal Institute of Ceará (IFCE)在 ifce.edu.br 的电子邮件经过验证
Nisheet PatelUniversity of Geneva在 unige.ch 的电子邮件经过验证
Alexandre PougetUniversity of Geneva在 unige.ch 的电子邮件经过验证

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Luigi Acerbi

Assistant Professor of Machine and Human Intelligence, University of Helsinki

在 helsinki.fi 的电子邮件经过验证 - 首页

Machine Learning Bayesian Optimization Computational Neuroscience Probabilistic Inference Decision-making


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	243	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	208	2012
On the Origins of Suboptimality in Human Probabilistic Inference L Acerbi, S Vijayakumar, DM Wolpert PLOS Computational Biology 10 (6), e1003661, 2014	200	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	95	2018
Variational Bayesian Monte Carlo L Acerbi Advances in Neural Information Processing Systems (NeurIPS 2018) 31, 8223-8233, 2018	69	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	59	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	40	2020
Variational Bayesian Monte Carlo with Noisy Likelihoods L Acerbi Advances in Neural Information Processing Systems (NeurIPS 2020) 33, 2020	35	2020
Human online adaptation to changes in prior probability EH Norton, L Acerbi, WJ Ma, MS Landy PLOS Computational Biology 15 (7), e1006681, 2019	34	2019
Shifting and lifting of cellular automata L Acerbi, A Dennunzio, E Formenti Computation and Logic in the Real World, 1-10, 2007	24	2007
Uncertainty is maintained and used in working memory AH Yoo, L Acerbi, WJ Ma Journal of Vision 21 (8), 13, 2021	23	2021
Target Uncertainty Mediates Sensorimotor Error Correction L Acerbi, S Vijayakumar, DM Wolpert PLOS ONE 12 (1), e0170466, 2017	20	2017
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	17	2023
The role of sensory uncertainty in simple contour integration Y Zhou, L Acerbi, WJ Ma PLOS Computational Biology, 2020 16 (11), e1006308, 2020	14*	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
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	10	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
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	8	2023
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	5	2022

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