Luigi Acerbi
- A brain-wide map of neural activity during complex behaviour
2025/09/03 by Leenoy Meshulam, Dora E. Angelaki, Julius Benson +97 · 4 voices · 43 citations
Neuroscience · #Neural dynamics and brain function #Neuroscience and Neuropharmacology Research #Memory and Neural Mechanisms
- Learning Robust Statistics for Simulation-based Inference under Model Misspecification
2023/05/25 by Daolang Huang, Ayush Bharti, Huang, Daolang +7 · 11 citations
Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
- Amortized Bayesian Experimental Design for Decision-Making
2024/11/04 by Daolang Huang, Yujia Guo, Huang, Daolang +5 · 2 voices · 6 citations
Decision Sciences · #Optimal Experimental Design Methods
- Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
2024/10/20 by Paul E. Chang, Nasrulloh Loka, Chang, Paul E. +9 · 1 voice · 9 citations
Computer Science · Engineering · Mathematics · #Embedded Systems Design Techniques #Manufacturing Process and Optimization #Parallel Computing and Optimization Techniques #cs.LG #stat.ML
- Variational Bayesian Monte Carlo with Noisy Likelihoods
2020/06/15 by Luigi Acerbi, Acerbi, Luigi · 4 citations
Computer Science · Mathematics · #Computation (stat.CO) #FOS: Biological sciences #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM) #Statistical Methods and Inference
- Variational Bayesian Monte Carlo
2018/10/12 by Luigi Acerbi, Acerbi, Luigi · 4 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neurons and Cognition (q-bio.NC) #Quantitative Methods (q-bio.QM)
- Tackling covariate shift with node-based Bayesian neural networks
2022/06/06 by Trung Trinh, Markus Heinonen, Trinh, Trung +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification
- Amortized Bayesian Workflow
2024/09/06 by Chengkun Li, Aki Vehtari, Li, Chengkun +10 · 3 voices · 1 citation
Decision Sciences · #Scientific Computing and Data Management
- Practical Equivariances via Relational Conditional Neural Processes
2023/06/19 by Daolang Huang, Huang, Daolang, Manuel Haußmann +13 · 2 citations
Computer Science · #Neural Networks and Applications #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning
- Improving robustness to corruptions with multiplicative weight perturbations
2024/06/24 by Trung Trinh, Trinh, Trung, Markus Heinonen +5 · 1 citation
Social Sciences · #Corruption and Economic Development
- Preferential Normalizing Flows
2024/10/11 by Petrus Mikkola, Mikkola, Petrus, Luigi Acerbi +3 · 1 voice · 2 citations
Engineering · Decision Sciences · #cs.LG #stat.ML
- ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
2025/06/08 by Daolang Huang, Huang, Daolang, Ayush Bharti +6 · 2 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms