Statistical analysis of process variation based on indirect measurements for electronic system design. - Ivan Ukhov; Mattias Villani; Petru Eles; Zebo Peng (ASP-DAC, 2014)

BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs. - Anders Eklund 002; Paul Dufort; Mattias Villani; Stephen LaConte (Frontiers Neuroinformatics, 2014)

Perception-Aware Power Management for Mobile Games via Dynamic Resolution Scaling. - Arian Maghazeh; Unmesh D. Bordoloi; Mattias Villani; Petru Eles; Zebo Peng (ICCAD, 2015)

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 (QRS, 2016)

Intrusion-Damage Assessment and Mitigation in Cyber-Physical Systems for Control Applications. - Rouhollah Mahfouzi; Amir Aminifar; Petru Eles; Zebo Peng; Mattias Villani (RTNS, 2016)

Bayesian Diffusion Tensor Estimation with Spatial Priors. - Xuan Gu; Per Sidén; Bertil Wegmann; Anders Eklund 002; Mattias Villani; Hans Knutsson (CAIP (1), 2017)

Urban network travel time prediction via online multi-output Gaussian process regression. - Héctor Rodriguez Déniz; Erik Jenelius; Mattias Villani (ITSC, 2017)

A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes. - Anders Eklund 002; Martin A. Lindquist; Mattias Villani (NeuroImage, 2017)

Fast Bayesian whole-brain fMRI analysis with spatial 3D priors. - Per Sidén; Anders Eklund 002; David Bolin; Mattias Villani (NeuroImage, 2017)

Real-Time Robotic Search using Structural Spatial Point Processes. - Olov Andersson; Per Sidén; Johan Dahlin; Patrick Doherty 001; Mattias Villani (UAI, 2019)

Real-Time Robotic Search using Hierarchical Spatial Point Processes. - Olov Andersson; Per Sidén; Johan Dahlin; Patrick Doherty 001; Mattias Villani (CoRR, 2019)

A Bayesian Dynamic Multilayered Block Network Model. - Héctor Rodriguez Déniz; Mattias Villani; Augusto Voltes-Dorta (CoRR, 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)

Spectral Subsampling MCMC for Stationary Time Series. - Robert Salomone; Matias Quiroz; Robert Kohn; Mattias Villani; Minh-Ngoc Tran (ICML, 2020)

Anatomically Informed Bayesian Spatial Priors for FMRI Analysis. - David Abramian; Per Sidén; Hans Knutsson; Mattias Villani; Anders Eklund 002 (ISBI, 2020)

DOLDA: a regularized supervised topic model for high-dimensional multi-class regression. - Måns Magnusson; Leif Jonsson; Mattias Villani (Comput. Stat., 2020)

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)

Robust Real-Time Delay Predictions in a Network of High-Frequency Urban Buses. - Héctor Rodriguez Déniz; Mattias Villani (IEEE Trans. Intell. Transp. Syst., 2022)

Dynamic Mixture of Experts Models for Online Prediction. - Parfait Munezero; Mattias Villani; Robert Kohn (Technometrics, 2023)