Luigi Acerbi - RankMe

56 papers A* 10A 2B 2C 1Journal 37Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Amortized Bayesian Workflow. Trans. Mach. Learn. Res. Chengkun Li, Aki Vehtari, Paul-Christian Bürkner, Stefan T. Radev, Luigi Acerbi, Marvin Schmitt
2025	J	`jnl`	ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition. CoRR Daolang Huang, Xinyi Wen, Ayush Bharti, Samuel Kaski, Luigi Acerbi
2025	A	`conf`	Amortized Probabilistic Conditioning for Optimization, Simulation and Inference. AISTATS Paul Edmund Chang, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi
2025	B	`conf`	Bayes-Adaptive Information Gathering. CogSci Aly Lidayan, Luigi Acerbi
2025	J	`jnl`	Efficient Autoregressive Inference for Transformer Probabilistic Models. CoRR Conor Hassan, Nasrulloh Loka, Cen-You Li, Daolang Huang, Paul E. Chang, Yang Yang, Francesco Silvestrin, Samuel Kaski, Luigi Acerbi
2025	J	`jnl`	Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature. Stat. Comput. Chengkun Li, Grégoire Clarté, Martin Jørgensen, Luigi Acerbi
2025	J	`jnl`	Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report. CoRR Riccardo Mereu, Aidan Scannell, Yuxin Hou, Yi Zhao, Aditya Jitta, Antonio Dominguez, Luigi Acerbi, Amos Storkey, Paul E. Chang
2025	—	`conf`	Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations. AABI Chengkun Li, Bobby Huggins, Petrus Mikkola, Luigi Acerbi
2025	J	`jnl`	Normalizing Flow Regression for Bayesian Inference with Offline Likelihood Evaluations. CoRR Chengkun Li, Bobby Huggins, Petrus Mikkola, Luigi Acerbi
2025	J	`jnl`	PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference. CoRR Yang Yang, Severi Rissanen, Paul E. Chang, Nasrulloh R. B. S. Loka, Daolang Huang, Arno Solin, Markus Heinonen, Luigi Acerbi
2025	J	`jnl`	Score-Based Density Estimation from Pairwise Comparisons. CoRR Petrus Mikkola, Luigi Acerbi, Arto Klami
2025	J	`jnl`	Stacking Variational Bayesian Monte Carlo. CoRR Francesco Silvestrin, Chengkun Li, Luigi Acerbi
2025	J	`jnl`	Stacking Variational Bayesian Monte Carlo. Trans. Mach. Learn. Res. Francesco Silvestrin, Chengkun Li, Luigi Acerbi
2024	A*	`conf`	Amortized Bayesian Experimental Design for Decision-Making. NeurIPS Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski
2024	J	`jnl`	Amortized Bayesian Experimental Design for Decision-Making. CoRR Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski
2024	J	`jnl`	Amortized Bayesian Workflow (Extended Abstract). CoRR Marvin Schmitt, Chengkun Li, Aki Vehtari, Luigi Acerbi, Paul-Christian Bürkner, Stefan T. Radev
2024	J	`jnl`	Amortized Probabilistic Conditioning for Optimization, Simulation and Inference. CoRR Paul E. Chang, Nasrulloh R. B. S. Loka, Daolang Huang, Ulpu Remes, Samuel Kaski, Luigi Acerbi
2024	A*	`conf`	Improving robustness to corruptions with multiplicative weight perturbations. NeurIPS Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2024	J	`jnl`	Improving robustness to corruptions with multiplicative weight perturbations. CoRR Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2024	A*	`conf`	Input-gradient space particle inference for neural network ensembles. ICLR Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2024	A*	`conf`	Preferential Normalizing Flows. NeurIPS Petrus Mikkola, Luigi Acerbi, Arto Klami
2024	J	`jnl`	Preferential Normalizing Flows. CoRR Petrus Mikkola, Luigi Acerbi, Arto Klami
2024	J	`jnl`	PyBADS: Fast and robust black-box optimization in Python. J. Open Source Softw. Gurjeet Sangra Singh, Luigi Acerbi
2023	J	`jnl`	Fast post-process Bayesian inference with Sparse Variational Bayesian Monte Carlo. CoRR Chengkun Li, Grégoire Clarté, Luigi Acerbi
2023	J	`jnl`	Input gradient diversity for neural network ensembles. CoRR Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2023	A*	`conf`	Learning Robust Statistics for Simulation-based Inference under Model Misspecification. NeurIPS Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski
2023	J	`jnl`	Learning Robust Statistics for Simulation-based Inference under Model Misspecification. CoRR Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski
2023	J	`jnl`	Online simulator-based experimental design for cognitive model selection. CoRR Alexander Aushev, Aini Putkonen, Gregoire Clarte, Suyog Chandramouli, Luigi Acerbi, Samuel Kaski, Andrew Howes
2023	A*	`conf`	Practical Equivariances via Relational Conditional Neural Processes. NeurIPS Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
2023	J	`jnl`	Practical Equivariances via Relational Conditional Neural Processes. CoRR Daolang Huang, Manuel Haussmann, Ulpu Remes, S. T. John, Grégoire Clarté, Kevin Sebastian Luck, Samuel Kaski, Luigi Acerbi
2023	J	`jnl`	PyBADS: Fast and robust black-box optimization in Python. CoRR Gurjeet Sangra Singh, Luigi Acerbi
2023	J	`jnl`	PyVBMC: Efficient Bayesian inference in Python. CoRR Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi
2023	J	`jnl`	PyVBMC: Efficient Bayesian inference in Python. J. Open Source Softw. Bobby Huggins, Chengkun Li, Marlon Tobaben, Mikko J. Aarnos, Luigi Acerbi
2022	A	`conf`	Parallel MCMC Without Embarrassing Failures. AISTATS Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi
2022	J	`jnl`	Parallel MCMC Without Embarrassing Failures. CoRR Daniel Augusto de Souza, Diego Mesquita, Samuel Kaski, Luigi Acerbi
2022	A*	`conf`	Tackling covariate shift with node-based Bayesian neural networks. ICML Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2022	J	`jnl`	Tackling covariate shift with node-based Bayesian neural networks. CoRR Trung Q. Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
2020	A*	`conf`	Dynamic allocation of limited memory resources in reinforcement learning. NeurIPS Nisheet Patel, Luigi Acerbi, Alexandre Pouget
2020	J	`jnl`	The role of sensory uncertainty in simple contour integration. PLoS Comput. Biol. Yanli Zhou, Luigi Acerbi, Wei Ji Ma
2020	J	`jnl`	Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling. CoRR Bas van Opheusden, Luigi Acerbi, Wei Ji Ma
2020	J	`jnl`	Unbiased and efficient log-likelihood estimation with inverse binomial sampling. PLoS Comput. Biol. Bas van Opheusden, Luigi Acerbi, Wei Ji Ma
2020	A*	`conf`	Variational Bayesian Monte Carlo with Noisy Likelihoods. NeurIPS Luigi Acerbi
2020	J	`jnl`	Variational Bayesian Monte Carlo with Noisy Likelihoods. CoRR Luigi Acerbi
2019	B	`conf`	Approximate Inference through Sequential Measurements of Likelihoods Accounts for Hick's Law. CogSci Xiang Li, Luigi Acerbi, Wei Ji Ma
2019	J	`jnl`	Human online adaptation to changes in prior probability. PLoS Comput. Biol. Elyse H. Norton, Luigi Acerbi, Wei Ji Ma, Michael S. Landy
2018	—	`conf`	An Exploration of Acquisition and Mean Functions in Variational Bayesian Monte Carlo. AABI Luigi Acerbi
2018	J	`jnl`	Bayesian comparison of explicit and implicit causal inference strategies in multisensory heading perception. PLoS Comput. Biol. Luigi Acerbi, Kalpana Dokka, Dora E. Angelaki, Wei Ji Ma
2018	A*	`conf`	Variational Bayesian Monte Carlo. NeurIPS Luigi Acerbi
2018	J	`jnl`	Variational Bayesian Monte Carlo. CoRR Luigi Acerbi
2017	—	`conf`	Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search. NIPS Luigi Acerbi, Wei Ji
2014	—	`conf`	A Framework for Testing Identifiability of Bayesian Models of Perception. NIPS Luigi Acerbi, Wei Ji Ma, Sethu Vijayakumar
2014	J	`jnl`	On the Origins of Suboptimality in Human Probabilistic Inference. PLoS Comput. Biol. Luigi Acerbi, Sethu Vijayakumar, Daniel M. Wolpert
2013	J	`jnl`	Surjective multidimensional cellular automata are non-wandering: A combinatorial proof. Inf. Process. Lett. Luigi Acerbi, Alberto Dennunzio, Enrico Formenti
2012	J	`jnl`	Internal Representations of Temporal Statistics and Feedback Calibrate Motor-Sensory Interval Timing. PLoS Comput. Biol. Luigi Acerbi, Daniel M. Wolpert, Sethu Vijayakumar
2009	J	`jnl`	Conservation of some dynamical properties for operations on cellular automata. Theor. Comput. Sci. Luigi Acerbi, Alberto Dennunzio, Enrico Formenti
2007	C	`conf`	Shifting and Lifting of Cellular Automata. CiE Luigi Acerbi, Alberto Dennunzio, Enrico Formenti