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Journal Articles
- 2023
[j8]Parfait Munezero
, Mattias Villani, Robert Kohn:
Dynamic Mixture of Experts Models for Online Prediction. Technometrics 65(2): 257-268 (2023)- 2022
- [j7]Héctor Rodriguez Déniz, Mattias Villani:
Robust Real-Time Delay Predictions in a Network of High-Frequency Urban Buses. IEEE Trans. Intell. Transp. Syst. 23(9): 16304-16317 (2022) - 2021
- [j6]Matias Quiroz, Minh-Ngoc Tran, Mattias Villani, Robert Kohn, Khue-Dung Dang:
The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC. J. Comput. Graph. Stat. 30(4): 877-888 (2021) - 2020
- [j5]Måns Magnusson, Leif Jonsson, Mattias Villani:
DOLDA: a regularized supervised topic model for high-dimensional multi-class regression. Comput. Stat. 35(1): 175-201 (2020) - 2019
- [j4]Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran, Mattias Villani:
Hamiltonian Monte Carlo with Energy Conserving Subsampling. J. Mach. Learn. Res. 20: 100:1-100:31 (2019) - 2017
- [j3]Per Sidén, Anders Eklund, David Bolin, Mattias Villani:
Fast Bayesian whole-brain fMRI analysis with spatial 3D priors. NeuroImage 146: 211-225 (2017) - [j2]Anders Eklund, Martin A. Lindquist, Mattias Villani:
A Bayesian heteroscedastic GLM with application to fMRI data with motion spikes. NeuroImage 155: 354-369 (2017) - 2014
- [j1]Anders Eklund, Paul Dufort, Mattias Villani, Stephen LaConte:
BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs. Frontiers Neuroinformatics 8: 24 (2014)
Conference and Workshop Papers
- 2020
- [c9]Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran:
Spectral Subsampling MCMC for Stationary Time Series. ICML 2020: 8449-8458 - [c8]David Abramian, Per Sidén, Hans Knutsson, Mattias Villani, Anders Eklund:
Anatomically Informed Bayesian Spatial Priors for FMRI Analysis. ISBI 2020: 1026-1030 - 2019
- [c7]Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani:
Real-Time Robotic Search using Structural Spatial Point Processes. UAI 2019: 995-1005 - 2017
- [c6]Xuan Gu, Per Sidén, Bertil Wegmann, Anders Eklund, Mattias Villani, Hans Knutsson:
Bayesian Diffusion Tensor Estimation with Spatial Priors. CAIP (1) 2017: 372-383 - [c5]Héctor Rodriguez Déniz, Erik Jenelius, Mattias Villani:
Urban network travel time prediction via online multi-output Gaussian process regression. ITSC 2017: 1-6 - 2016
- [c4]Leif Jonsson, David Broman, Måns Magnusson, Kristian Sandahl, Mattias Villani, Sigrid Eldh:
Automatic Localization of Bugs to Faulty Components in Large Scale Software Systems Using Bayesian Classification. QRS 2016: 423-430 - [c3]Rouhollah Mahfouzi, Amir Aminifar, Petru Eles, Zebo Peng, Mattias Villani:
Intrusion-Damage Assessment and Mitigation in Cyber-Physical Systems for Control Applications. RTNS 2016: 141-150 - 2015
- [c2]Arian Maghazeh, Unmesh D. Bordoloi, Mattias Villani, Petru Eles, Zebo Peng:
Perception-Aware Power Management for Mobile Games via Dynamic Resolution Scaling. ICCAD 2015: 613-620 - 2014
- [c1]Ivan Ukhov, Mattias Villani, Petru Eles, Zebo Peng:
Statistical analysis of process variation based on indirect measurements for electronic system design. ASP-DAC 2014: 436-442
Informal and Other Publications
- 2019
- [i2]Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani:
Real-Time Robotic Search using Hierarchical Spatial Point Processes. CoRR abs/1903.10443 (2019) - [i1]Héctor Rodriguez Déniz, Mattias Villani, Augusto Voltes-Dorta:
A Bayesian Dynamic Multilayered Block Network Model. CoRR abs/1911.13136 (2019)
Coauthor Index
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