Luigi Acerbi

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 30

Top Topics

Variational Bayesian

Neural Network Ensembles

Top Venues

PLoS Comput. Biol.

Publications

Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
Input-gradient space particle inference for neural network ensembles. ICLR (2024)
Gurjeet Sangra Singh, Luigi Acerbi
PyBADS: Fast and robust black-box optimization in Python. J. Open Source Softw. 9 (96) (2024)
Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
Improving robustness to corruptions with multiplicative weight perturbations. CoRR (2024)
Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi
PyVBMC: Efficient Bayesian inference in Python. CoRR (2023)
Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski
Learning Robust Statistics for Simulation-based Inference under Model Misspecification. CoRR (2023)
Chengkun Li, Grégoire Clarté, Luigi Acerbi
Fast post-process Bayesian inference with Sparse Variational Bayesian Monte Carlo. CoRR (2023)
Daolang Huang, Manuel Haussmann, Ulpu Remes, ST John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
Practical Equivariances via Relational Conditional Neural Processes. CoRR (2023)
Gurjeet Sangra Singh, Luigi Acerbi
PyBADS: Fast and robust black-box optimization in Python. CoRR (2023)
Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
Input gradient diversity for neural network ensembles. CoRR (2023)
Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi
PyVBMC: Efficient Bayesian inference in Python. J. Open Source Softw. 8 (87) (2023)
Daolang Huang, Manuel Haussmann, Ulpu Remes, ST John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
Practical Equivariances via Relational Conditional Neural Processes. NeurIPS (2023)
Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski
Learning Robust Statistics for Simulation-based Inference under Model Misspecification. NeurIPS (2023)
Alexander Aushev, Aini Putkonen, Gregoire Clarte, Suyog Chandramouli, Luigi Acerbi, Samuel Kaski, Andrew Howes
Online simulator-based experimental design for cognitive model selection. CoRR (2023)
Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
Tackling covariate shift with node-based Bayesian neural networks. CoRR (2022)
Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi
Parallel MCMC Without Embarrassing Failures. CoRR (2022)
Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
Tackling covariate shift with node-based Bayesian neural networks. ICML (2022)
Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi
Parallel MCMC Without Embarrassing Failures. AISTATS (2022)
Nisheet Patel, Luigi Acerbi, Alexandre Pouget
Dynamic allocation of limited memory resources in reinforcement learning. NeurIPS (2020)
Yanli Zhou, Luigi Acerbi, Wei Ji Ma
The role of sensory uncertainty in simple contour integration. PLoS Comput. Biol. 16 (11) (2020)
Bas van Opheusden, Luigi Acerbi, Wei Ji Ma
Unbiased and efficient log-likelihood estimation with inverse binomial sampling. PLoS Comput. Biol. 16 (12) (2020)
Luigi Acerbi
Variational Bayesian Monte Carlo with Noisy Likelihoods. NeurIPS (2020)
Luigi Acerbi
Variational Bayesian Monte Carlo with Noisy Likelihoods. CoRR (2020)
Bas van Opheusden, Luigi Acerbi, Wei Ji Ma
Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling. CoRR (2020)
Xiang Li, Luigi Acerbi, Wei Ji Ma
Approximate Inference through Sequential Measurements of Likelihoods Accounts for Hick's Law. CogSci (2019)
Elyse H. Norton, Luigi Acerbi, Wei Ji Ma, Michael S. Landy
Human online adaptation to changes in prior probability. PLoS Comput. Biol. 15 (7) (2019)
Luigi Acerbi
Variational Bayesian Monte Carlo. CoRR (2018)
Luigi Acerbi
An Exploration of Acquisition and Mean Functions in Variational Bayesian Monte Carlo. AABI (2018)
Luigi Acerbi, Kalpana Dokka, Dora E. Angelaki, Wei Ji Ma
Bayesian comparison of explicit and implicit causal inference strategies in multisensory heading perception. PLoS Comput. Biol. 14 (7) (2018)
Luigi Acerbi
Variational Bayesian Monte Carlo. NeurIPS (2018)
Luigi Acerbi, Wei Ji
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search. NIPS (2017)
Luigi Acerbi, Wei Ji Ma, Sethu Vijayakumar
A Framework for Testing Identifiability of Bayesian Models of Perception. NIPS (2014)
Luigi Acerbi, Sethu Vijayakumar, Daniel M. Wolpert
On the Origins of Suboptimality in Human Probabilistic Inference. PLoS Comput. Biol. 10 (6) (2014)
Luigi Acerbi, Alberto Dennunzio, Enrico Formenti
Surjective multidimensional cellular automata are non-wandering: A combinatorial proof. Inf. Process. Lett. 113 (5-6) (2013)
Luigi Acerbi, Daniel M. Wolpert, Sethu Vijayakumar
Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval Timing. PLoS Comput. Biol. 8 (11) (2012)
Luigi Acerbi, Alberto Dennunzio, Enrico Formenti
Conservation of some dynamical properties for operations on cellular automata. Theor. Comput. Sci. 410 (38-40) (2009)
Luigi Acerbi, Alberto Dennunzio, Enrico Formenti
Shifting and Lifting of Cellular Automata. CiE (2007)