Luigi Acerbi

According to our database, Luigi Acerbi authored at least 26 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

PyVBMC: Efficient Bayesian inference in Python.

Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi

J. Open Source Softw., July, 2023

PyBADS: Fast and robust black-box optimization in Python.

Gurjeet Sangra Singh, Luigi Acerbi

CoRR, 2023

Practical Equivariances via Relational Conditional Neural Processes.

Daolang Huang, Manuel Haussmann, Ulpu Remes, S. T. John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi

CoRR, 2023

Input gradient diversity for neural network ensembles.

Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski

CoRR, 2023

Fast post-process Bayesian inference with Sparse Variational Bayesian Monte Carlo.

Chengkun Li, Grégoire Clarté, Luigi Acerbi

CoRR, 2023

Online simulator-based experimental design for cognitive model selection.

Alexander Aushev, Aini Putkonen, Gregoire Clarte, Suyog Chandramouli, Luigi Acerbi, Samuel Kaski, Andrew Howes

CoRR, 2023

Practical Equivariances via Relational Conditional Neural Processes.

Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Robust Statistics for Simulation-based Inference under Model Misspecification.

Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Tackling covariate shift with node-based Bayesian neural networks.

Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski

Proceedings of the International Conference on Machine Learning, 2022

Parallel MCMC Without Embarrassing Failures.

Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020

The role of sensory uncertainty in simple contour integration.

Yanli Zhou, Luigi Acerbi, Wei Ji Ma

PLoS Comput. Biol., 2020

Unbiased and efficient log-likelihood estimation with inverse binomial sampling.

Bas van Opheusden, Luigi Acerbi, Wei Ji Ma

PLoS Comput. Biol., 2020

Dynamic allocation of limited memory resources in reinforcement learning.

Nisheet Patel, Luigi Acerbi, Alexandre Pouget

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Variational Bayesian Monte Carlo with Noisy Likelihoods.

Luigi Acerbi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Human online adaptation to changes in prior probability.

Elyse H. Norton, Luigi Acerbi, Wei Ji Ma, Michael S. Landy

PLoS Comput. Biol., 2019

Approximate Inference through Sequential Measurements of Likelihoods Accounts for Hick's Law.

Xiang Li, Luigi Acerbi, Wei Ji Ma

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Bayesian comparison of explicit and implicit causal inference strategies in multisensory heading perception.

Luigi Acerbi, Kalpana Dokka, Dora E. Angelaki, Wei Ji Ma

PLoS Comput. Biol., 2018

Variational Bayesian Monte Carlo.

Luigi Acerbi

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

An Exploration of Acquisition and Mean Functions in Variational Bayesian Monte Carlo.

Luigi Acerbi

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2018

2017

Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search.

Luigi Acerbi, Wei Ji

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2014

On the Origins of Suboptimality in Human Probabilistic Inference.

Luigi Acerbi, Sethu Vijayakumar, Daniel M. Wolpert

PLoS Comput. Biol., 2014

A Framework for Testing Identifiability of Bayesian Models of Perception.

Luigi Acerbi, Wei Ji Ma, Sethu Vijayakumar

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Surjective multidimensional cellular automata are non-wandering: A combinatorial proof.

Luigi Acerbi, Alberto Dennunzio, Enrico Formenti

Inf. Process. Lett., 2013

2012

Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval Timing.

Luigi Acerbi, Daniel M. Wolpert, Sethu Vijayakumar

PLoS Comput. Biol., 2012

2009

Conservation of some dynamical properties for operations on cellular automata.

Luigi Acerbi, Alberto Dennunzio, Enrico Formenti

Theor. Comput. Sci., 2009

2007

Shifting and Lifting of Cellular Automata.

Luigi Acerbi, Alberto Dennunzio, Enrico Formenti

Proceedings of the Computation and Logic in the Real World, 2007