| 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 | 297 | 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 | 224 | 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 | 106 | 2018 |
| Variational Bayesian Monte Carlo L Acerbi Advances in Neural Information Processing Systems (NeurIPS 2018) 31, 8223-8233, 2018 | 82 | 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 | 45 | 2020 |
| Human online adaptation to changes in prior probability EH Norton, L Acerbi, WJ Ma, MS Landy PLOS Computational Biology 15 (7), e1006681, 2019 | 39 | 2019 |
| Uncertainty is maintained and used in working memory AH Yoo, L Acerbi, WJ Ma Journal of Vision 21 (8), 13, 2021 | 29 | 2021 |
| 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 | 24 | 2023 |
| Shifting and lifting of cellular automata L Acerbi, A Dennunzio, E Formenti Computation and Logic in the Real World, 1-10, 2007 | 24 | 2007 |
| 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 | 22 | 2023 |
| 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 |
| 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 | 13 | 2022 |
| 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 |
| 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 | 10 | 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 |
Wei Ji MaProfessor of Neuroscience and Psychology at New York Universitynyu.edu의 이메일 확인됨
