Mattias Villani

According to our database1, Mattias Villani authored at least 15 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




DOLDA: a regularized supervised topic model for high-dimensional multi-class regression.
Comput. Stat., 2020

Anatomically Informed Bayesian Spatial Priors for FMRI Analysis.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Hamiltonian Monte Carlo with Energy Conserving Subsampling.
J. Mach. Learn. Res., 2019

A Bayesian Dynamic Multilayered Block Network Model.
CoRR, 2019

Real-Time Robotic Search using Hierarchical Spatial Point Processes.
CoRR, 2019

Real-Time Robotic Search using Structural Spatial Point Processes.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Fast Bayesian whole-brain fMRI analysis with spatial 3D priors.
NeuroImage, 2017

A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes.
NeuroImage, 2017

Urban network travel time prediction via online multi-output Gaussian process regression.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Bayesian Diffusion Tensor Estimation with Spatial Priors.
Proceedings of the Computer Analysis of Images and Patterns, 2017

Intrusion-Damage Assessment and Mitigation in Cyber-Physical Systems for Control Applications.
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.
Proceedings of the 2016 IEEE International Conference on Software Quality, 2016

Perception-Aware Power Management for Mobile Games via Dynamic Resolution Scaling.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs.
Frontiers Neuroinformatics, 2014

Statistical analysis of process variation based on indirect measurements for electronic system design.
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014