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Publications in Machine Learning

2015

  • Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization, Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI15) by Olov Andersson, Fredrik Heintz and Patrick Doherty.
  • Temperature-Centric Reliability Analysis and Optimization of Electronic Systems under Process Variation, IEEE Transactions on Very Large Scale Integration Systems by Ivan Ukhov, Petru Eles and Zebo Peng.

  • 2014

  • Approximate Counting of Graphical Models Via MCMC Revisited International Journal of Intelligent Systems by Dag Sonntag, Jose M. Peña and Manuel Gómez-Olmedo.
  • On Expressiveness of the AMP Chain Graph Interpretation In Proceedings of the 7th European Workshop on Probabilistic Graphical Models (PGM 2014) by Dag Sonntag.
  • Cubic-Time Graph Parsing with a Simple Scoring Scheme, Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), by Marco Kuhlmann.
  • SemEval 2014 Task 8: Broad-Coverage Semantic Dependency Parsing, Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), by Stephan Oepen, Marco Kuhlmann, Yusuke Miyao, Daniel Zeman, Dan Flickinger, Jan Hajič, Angelina Ivanova, and Yi Zhang.
  • Learning Gated Bayesian Networks for Algorithmic Trading, Proceedings of the Seventh European Workshop, PGM2014 by Marcus Bendtsen and Jose Peña.
  • A Novel Approach to Locomotion Learning: Actor-Critic Architecture using Central Pattern Generators and Dynamic Motor Primitives, Frontiers in Neurorobotics by Cai Li, Robert Lowe and Tom Ziemke.
  • Probabilistic Analysis of Power and Temperature Under Process Variation for Electronic System Design, IEEE Transactions on Computer-aided Design of Integrated Circuits and Systems by Ivan Ukhov, Petru Eles and Zebo Peng.
  • Bootstrap confidence intervals for large-scale multivariate monotonic regression problems, Communications in Statistics - Simulation and Computation by Oleg Sysoev.
  • Marginal AMP Chain Graphs, International Journal of Approximate Reasoning by Jose Peña.
  • Learning AMP Chain Graphs and some Marginal Models Thereof under Faithfulness, International Journal of Approximate Reasoning by Jose Peña.
  • BROCCOLI: Software for Fast fMRI Analysis on Many-Core CPUs and GPUs Frontiers in Neuroinformatics by Anders Eklund, Paul Dufort, Mattias Villani and Stephen LaConte.
  • An Inclusion Optimal Algorithm for Chain Graph Structure Learning, Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS 2014) by Jose Peña, Dag Sonntag and Jens Nielsen.
  • Statistical Analysis of Process Variation Based on Indirect Measurements for Electronic System Design, Asia and South Pacific Design Automation Conference by Ivan Ukhov, Mattias Villani, Petru Eles and Zebo Peng.
  • A Study of Chain Graph Interpretations, Lic. Thesis, Linköping University by Dag Sonntag
  • Classifying easy-to-read texts without parsing, The 3rd Workshop on Predicting and Improving Text Readability for Target Reader Populations (PITR 2014) by Johan Falkenjack and Arne Jönsson.
  • A biologically based model for recognition of 2-D occluded patterns, Cognitive Processing by Mohammad Saifullah, Christian Balkenius and Arne Jönsson.


  • 2013

  • Humanoids Learning to Walk: A Natural CPG-Actor-Critic Architecture, Frontiers in Neurorobotics by Cai Li, Robert Lowe and Tom Ziemke.
  • Gated Bayesian Networks, Proceedings of the 12th Scandinavian Conference on Artificial Intelligence (SCAI 2013) by Marcus Bendtsen and Jose Peña.
  • Chain Graph Interpretations and their Relations, Proceedings of the 12th European Conference on Symbolic and Quantitative Approaches to Reasoning under Uncertainty (ECSQARU 2013) - Lecture Notes in Artificial Intelligence by Dag Sonntag and Jose Peña
  • Efficient Bayesian Multivariate Surface Regression, Scandinavian Journal of Statistics by Feng Li and Mattias Villani
  • Harnessing Graphics Processing Units for Improved Neuroimaging Statistics, Cognitive, Affective and Behavioral Neuroscience by Anders Eklund, Mattias Villani and Stephen LaConte
  • Computing Semantic Clusters by Semantic Mirroring and Spectral Graph Partitioning. Mathematics in Computer Science by Lars Eldén, Magnus Merkel, Lars Ahrenberg, and Martin Fagerlund.
  • Increasing Anomaly Handling Efficiency in Large Organizations using Applied Machine Learning, IEEE Fifth International Conference on Software Testing, Verification and Validation (ICST) by Leif Jonsson
  • Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages, Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically Rich Languages by Marco Kuhlmann et al.
  • Bootstrap estimation of the variance of the error term in monotonic regression models. Journal of Statistical Computation and Simulation by Oleg Sysoev, Anders Grimvall and Oleg Burdakov.
  • Estimating Binary Monotonic Regression Models and their Uncertainty by Incorporating Kernel Smoothers. Complex Data Modelling and Computationally Intensive Statistical Methods for Estimation and Prediction Conference by Oleg Sysoev
  • Features Indicating Readability in Swedish Text, Proceedings of the 19th Nordic Conference of Computational Linguistics (NoDaLiDa-2013) by Johan Falkenjack, Katarina Heimann Mühlenbock and Arne Jönsson.


  • 2012

  • Generalized Smooth Finite Mixtures Journal of Econometrics by Mattias Villani, Robert Kohn and David Nott
  • Regression Density Estimation with Variational Methods and Stochastic Approximation Journal of Computational and Graphical Statistics by David Nott, Siew Li Tan, Mattias Villani and Robert Kohn
  • Steady-state Dynamic Temperature Analysis and Reliability Optimization for Embedded Multiprocessor Systems, Design Automation Conference by Ivan Ukhov, Min Bao, Petru Eles and Zebo Peng.
  • Alignment-based reordering for SMT, Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12) by Maria Holmqvist, Sara Stymne, Lars Ahrenberg and Magnus Merkel.
  • Towards Automated Anomaly Report Assignment in Large Complex Systems Using Stacked Generalization, IEEE Fifth International Conference on Software Testing, Verification and Validation (ICST) by Leif Jonsson, David Broman, Kristian Sandahl and Sigrid Eldh
  • Learning Multivariate Regression Chain Graphs under Faithfulness, In Proceedings of the 6th European Workshop on Probabilistic Graphical Models by by Dag Sonntag and Jose Peña
  • Web User Clustering and Web Prefetching using Random Indexing with Weight Functions, Knowledge and Information Systems, by Miao Wan, Arne Jönsson, Cong Wang, Lixiang Li and Yixian Yang.
  • A Good Space: Lexical Predictors in Vector Space Evaluation, Proceedings of the eighth international conference on Language Resources and Evaluation (LREC), by Christian Smith, Henrik Danielsson, Arne Jönsson.


  • Page responsible: Mattias Villani
    Last updated: 2015-01-21