-
Top positions gained at MaxSAT Evaluation 2015
Tue, 29.09.2015
The LMHS MaxSAT solver gained top positions in MaxSAT Evaluation 2015, the primary yearly international competitive event for state-of-the-art constrained optimization solvers for the maximum satisfiability (MaxSAT) optimization paradigm. The solver was ranked first in terms of the total number of benchmarks solved in both the industrial and crafted categories of the weighted partial competition benchmarks among the participating non-portfolio solvers.
-
Paper "Re-using Auxiliary Variables for MaxSAT Preprocessing" accepted to ICTAI 2015
Thu, 10.09.2015
The paper Re-using Auxiliary Variables for MaxSAT Preprocessing by Jeremias Berg, Paul Saikko, and Matti Järvisalo, has been accepted for publication in the proceedings of the IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI 2015) as part of the ICTAI 2015 SAT and CSP Track.
-
Paper "Applications of MaxSAT in Data Analysis" accepted to PoS 2015
Thu, 10.09.2015
The paper Applications of MaxSAT in Data Analysis by Jeremias Berg, Antti Hyttinen, and Matti Järvisalo, has been accepted for publication in the proceedings of Pragmatics of SAT 2015, affiliated with the SAT 2015 conference.
-
Paper "Subset Selection in Linear Regression using Sequentially Normalized Least Squares: Asymptotic Theory" accepted to Scandinavian Journal of Statistics
Thu, 13.08.2015
The paper "Subset Selection in Linear Regression using Sequentially Normalized Least Squares: Asymptotic Theory" by Jussi Määttä (HIIT, University of Helsinki), Daniel F. Schmidt (The University of Melbourne), and Teemu Roos (HIIT, University of Helsinki) was accepted to Scandinavian Journal of Statistics.
-
Success at the International Competition on Computational Models of Argumentation
Wed, 12.08.2015
The Cegartix v0.4 system has won two of the three competition tracks it participated in at the 2015 International Competition on Computational Models of Argumentation (ICCMA 2015), and placed second in the third track.
-
Paper "Improved Answer-Set Programming Encodings for Abstract Argumentation" accepted to Theory and Practice of Logic Programming
Tue, 11.08.2015
The paper Improved Answer-Set Programming Encodings for Abstract Argumentation by Johannes Peter Wallner (University of Helsinki) together with Sarah Alice Gaggl and Norbert Manthey (Dresdan University of Technology), Alessandro Ronca (University of Rome), and Stefan Woltran (Vienna University of Technology) has been accepted for publication in Theory and Practice of Logic Programming, in the special issue on 31st International Conference on Logic P
-
Paper "Cost-Optimal Constrained Correlation Clustering via Weighted Partial Maximum Satisfiability" accepted to Artificial Intelligence
Sat, 04.07.2015
The article Cost-Optimal Constrained Correlation Clustering via Weighted Partial Maximum Satisfiability by Jeremias Berg and Matti Järvisalo (University of Helsinki and HIIT) has been accepted for publication in Artificial Intelligence. The work is based on Jeremias' Master's thesis from 2014.
-
Quan Nguyen visits University of East Anglia
Sat, 23.05.2015
Quan (Eric) Nguyen visited the Computational Biology Laboratory at University of East Anglia, Norwich, UK on April 20–30, 2015. Eric gave a talk based on his MSc thesis Likelihood-based Phylogenetic Network Inference by Approximate Structural Expectation Maximization.
-
Three papers accepted to UAI 2015
Mon, 18.05.2015
The following three papers, featuring our recent work done in collaboration with Frederick Eberhardt (California Institute of Technology), Brandon Malone (Max Plank Institute), and Jose M. Peña and Dag Sonntag (Linköping University), have been accepted for publication in the proceedings of UAI 2015, 31st Conference on Uncertainty in Artificial Intelligence:
-
Johannes Wallner joins CoReO as Postdoc
Wed, 29.04.2015
Johannes P. Wallner (PhD 2014 from Vienna University of Technology) joins the Constraint Reasoning and Optimization group as a postdoc to work on the project Decision Procedures for the Polynomial Hierarchy, Boolean Optimization, and Model Counting. Welcome, Johannes!
-
Paper "Improving the Effectiveness of SAT-Based Preprocessing for MaxSAT" accepted to IJCAI 2015
Thu, 16.04.2015
The paper "Improving the Effectiveness of SAT-Based Preprocessing for MaxSAT" by Jeremias Berg, Paul Saikko, and Matti Järvisalo (Constraint Reasoning and Optimization group) has been accepted for publication in the proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015).
-
A paper on "Likelihood-based inference of phylogenetic networks from sequence data by PhyloDAG" accepted to AlCoB-2015
Mon, 13.04.2015
Quan (Eric) Nguyen and Teemu Roos (Information, Complexity and Learning research group at HIIT) will present work on phylogenetic network inference at the 2nd International Conference on Algorithms for Computational Biology (AlCoB-2015), Mexico City, August 4-6, 2015. In a paper entitled "Likelihood-based inference of phylogenetic networks from sequence data by PhyloDAG", Nguyen and Roos propose a method that is able to learn accurate phylogenetic network models from data significantly faster than existing state-of-the-art.
-
Paper "Clause Elimination for SAT and QSAT" accepted to Journal of Artificial Intelligence Research
Tue, 31.03.2015
The paper Clause Elimination for SAT and QSAT by Marijn Heule (University of Texas at Austin), Matti Järvisalo (HIIT, University of Helsinki), Florian Lonsing (Vienna University of Technology), Martina Seidl (Johannes Kepler University Linz), and Armin Biere (Johannes Kepler University Linz) has been accepted for publication in Journal of Artificial Intelligence Research.
-
Paper "Complexity-Sensitive Decision Procedures for Abstract Argumentation" accepted to IJCAI 2015
Tue, 31.03.2015
The paper Complexity-Sensitive Decision Procedures for Abstract Argumentation (extended abstract) by Wolfgang Dvořák (University of Vienna), Matti Järvisalo (HIIT, University of Helsinki), Johannes Peter Wallner (Vienna University of Technology), and Stefan Woltran (Vienna University of Technology) has been accepted for presentation at the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015).
-
Papers accepted for IEEE Transactions on Neural Networks and Learning Systems, Neuroimage, and Artifcial Intelligence and Statistics
Fri, 27.02.2015
Three papers by the members of the MUPI-subgroup were recently accepted for publication, two with co-authors from Aalto University and one with co-authors from Xerox Research Centre.
-
Paper "Overview and Analysis of the SAT Challenge 2012 Solver Competition" accepted to Artificial Intelligence
Tue, 20.01.2015
The article Overview and Analysis of the SAT Challenge 2012 Solver Competition by Adrian Balint (Ulm University, Germany), Anton Belov (University College Dublin, Ireland), Matti Järvisalo (University of Helsinki and HIIT), and Carsten Sinz (Karlsruhe Institute of Technology, Germany) has been accepted for publication in Artificial Intelligence.
-
Paper "MaxSAT-Based Cutting Planes for Learning Graphical Models" accepted to CPAIOR 2015
Sat, 10.01.2015
The paper MaxSAT-Based Cutting Planes for Learning Graphical Models by Paul Saikko, Brandon Malone, and Matti Järvisalo has been accepted for publication in the proceedings of the 12th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming (CPAIOR 2015).
-
Paper "Achievability of Asymptotic Minimax Regret by Horizon-Dependent and Horizon-Independent Strategies" accepted to JMLR
Fri, 09.01.2015
The paper "Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies" by Kazuho Watanabe of the Toyohashi University of Technology, Japan, and Teemu Roos of HIIT has been accepted to the Journal of Machine Learning Research.
Abstract
-
Järvisalo granted funding under the University of Helsinki three-year research project scheme
Sun, 21.12.2014
University of Helsinki has granted funding to Dr. Matti Järvisalo under the three-year research project funding scheme. The funded project Harnessing Constraint Reasoning for Structure Discovery will run for the years 2015-2017. Only 18 out of a total of 224 project proposals ranging over all sciences were granted funding after a two-stage evaluation.
-
Paper "Random Projection Based Clustering for Population Genomics" accepted to IEEE Big Data 2014.
Wed, 15.10.2014
The paper "Random Projection Based Clustering for Population Genomics" by Sotiris Tasoulis, Lu Cheng, Niko Välimäki, Nicholas Croucher, Simon Harris, William Hanage, Teemu Roos, and Jukka Corander has been accepted for publication in the proceedings of the IEEE International Conference on Big Data 2014 (IEEE Big Data 2014).