Mattias Villani

According to our database, Mattias Villani authored at least 19 papers between 2014 and 2023.

Collaborative distances:

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

2023

Dynamic Mixture of Experts Models for Online Prediction.

Parfait Munezero, Mattias Villani, Robert Kohn

Technometrics, April, 2023

2022

Robust Real-Time Delay Predictions in a Network of High-Frequency Urban Buses.

Héctor Rodriguez Déniz, Mattias Villani

IEEE Trans. Intell. Transp. Syst., 2022

2021

The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC.

Matias Quiroz, Minh-Ngoc Tran, Mattias Villani, Robert Kohn, Khue-Dung Dang

J. Comput. Graph. Stat., 2021

2020

DOLDA: a regularized supervised topic model for high-dimensional multi-class regression.

Måns Magnusson, Leif Jonsson, Mattias Villani

Comput. Stat., 2020

Anatomically Informed Bayesian Spatial Priors for FMRI Analysis.

David Abramian, Per Sidén, Hans Knutsson, Mattias Villani, Anders Eklund

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Spectral Subsampling MCMC for Stationary Time Series.

Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Hamiltonian Monte Carlo with Energy Conserving Subsampling.

Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran, Mattias Villani

J. Mach. Learn. Res., 2019

A Bayesian Dynamic Multilayered Block Network Model.

Héctor Rodriguez Déniz, Mattias Villani, Augusto Voltes-Dorta

CoRR, 2019

Real-Time Robotic Search using Hierarchical Spatial Point Processes.

Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani

CoRR, 2019

Real-Time Robotic Search using Structural Spatial Point Processes.

Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2017

Fast Bayesian whole-brain fMRI analysis with spatial 3D priors.

Per Sidén, Anders Eklund, David Bolin, Mattias Villani

NeuroImage, 2017

A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes.

Anders Eklund, Martin A. Lindquist, Mattias Villani

NeuroImage, 2017

Urban network travel time prediction via online multi-output Gaussian process regression.

Héctor Rodriguez Déniz, Erik Jenelius, Mattias Villani

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Bayesian Diffusion Tensor Estimation with Spatial Priors.

Xuan Gu, Per Sidén, Bertil Wegmann, Anders Eklund, Mattias Villani, Hans Knutsson

Proceedings of the Computer Analysis of Images and Patterns, 2017

2016

Intrusion-Damage Assessment and Mitigation in Cyber-Physical Systems for Control Applications.

Rouhollah Mahfouzi, Amir Aminifar, Petru Eles, Zebo Peng, Mattias Villani

Proceedings of the 24th International Conference on Real-Time Networks and Systems, 2016

Automatic Localization of Bugs to Faulty Components in Large Scale Software Systems Using Bayesian Classification.

Leif Jonsson, David Broman, Måns Magnusson, Kristian Sandahl, Mattias Villani, Sigrid Eldh

Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

2015

Perception-Aware Power Management for Mobile Games via Dynamic Resolution Scaling.

Arian Maghazeh, Unmesh D. Bordoloi, Mattias Villani, Petru Eles, Zebo Peng

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

2014

BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs.

Anders Eklund, Paul Dufort, Mattias Villani, Stephen LaConte

Frontiers Neuroinformatics, 2014

Statistical analysis of process variation based on indirect measurements for electronic system design.

Ivan Ukhov, Mattias Villani, Petru Eles, Zebo Peng

Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014