Ioannis Koutis

Orcid: 0000-0003-1535-3397

According to our database1, Ioannis Koutis authored at least 50 papers between 2001 and 2024.

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Bibliography

2024
K-SpecPart: Supervised Embedding Algorithms and Cut Overlay for Improved Hypergraph Partitioning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2024

2023
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets.
CoRR, 2023

Neural Network Pruning as Spectrum Preserving Process.
CoRR, 2023

K-SpecPart: A Supervised Spectral Framework for Multi-Way Hypergraph Partitioning Solution Improvement.
CoRR, 2023

Sidestepping Barriers for Dominating Set in Parameterized Complexity.
Proceedings of the 18th International Symposium on Parameterized and Exact Computation, 2023

An Open-Source Constraints-Driven General Partitioning Multi-Tool for VLSI Physical Design.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Resource-Constrained Knowledge Diffusion Processes Inspired by Human Peer Learning.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
SGC: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks.
CoRR, 2022

SpecPart: A Supervised Spectral Framework for Hypergraph Partitioning Solution Improvement.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021
A Novel Calibration Step in Gene Co-Expression Network Construction.
Frontiers Bioinform., 2021

Peer Learning Through Targeted Dynamic Groups Formation.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019
Spectral Modification of Graphs for Improved Spectral Clustering.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Improved Large-Scale Graph Learning through Ridge Spectral Sparsification.
Proceedings of the 35th International Conference on Machine Learning, 2018

Spectrally Robust Graph Isomorphism.
Proceedings of the 45th International Colloquium on Automata, Languages, and Programming, 2018

2017
Directed Hamiltonicity and Out-Branchings via Generalized Laplacians.
Proceedings of the 44th International Colloquium on Automata, Languages, and Programming, 2017

2016
Multilinear Monomial Detection.
Encyclopedia of Algorithms, 2016

Simple Parallel and Distributed Algorithms for Spectral Graph Sparsification.
ACM Trans. Parallel Comput., 2016

LIMITS and Applications of Group Algebras for Parameterized Problems.
ACM Trans. Algorithms, 2016

Faster Spectral Sparsification and Numerical Algorithms for SDD Matrices.
ACM Trans. Algorithms, 2016

Scalable Constrained Clustering: A Generalized Spectral Method.
CoRR, 2016

Incremental Spectral Sparsification for Large-Scale Graph-Based Semi-Supervised Learning.
CoRR, 2016

Modular Sieves for Directed Hamiltonian Cycles.
CoRR, 2016

Algebraic fingerprints for faster algorithms.
Commun. ACM, 2016

On Fully Dynamic Graph Sparsifiers.
Proceedings of the IEEE 57th Annual Symposium on Foundations of Computer Science, 2016

Simple and Scalable Constrained Clustering: a Generalized Spectral Method.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Spanning Edge Centrality: Large-scale Computation and Applications.
Proceedings of the 24th International Conference on World Wide Web, 2015

2014
Approaching Optimality for Solving SDD Linear Systems.
SIAM J. Comput., 2014

Nearly-Linear Work Parallel SDD Solvers, Low-Diameter Decomposition, and Low-Stretch Subgraphs.
Theory Comput. Syst., 2014

A Generalized Cheeger Inequality.
CoRR, 2014

A Simple Parallel Algorithm for Spectral Sparsification.
CoRR, 2014

Simple parallel and distributed algorithms for spectral graph sparsification.
Proceedings of the 26th ACM Symposium on Parallelism in Algorithms and Architectures, 2014

2012
Constrained multilinear detection for faster functional motif discovery.
Inf. Process. Lett., 2012

A fast solver for a class of linear systems.
Commun. ACM, 2012

Improved Spectral Sparsification and Numerical Algorithms for SDD Matrices.
Proceedings of the 29th International Symposium on Theoretical Aspects of Computer Science, 2012

Train Marshalling Is Fixed Parameter Tractable.
Proceedings of the Fun with Algorithms - 6th International Conference, 2012

2011
Spectral counting of triangles via element-wise sparsification and triangle-based link recommendation.
Soc. Netw. Anal. Min., 2011

Combinatorial preconditioners and multilevel solvers for problems in computer vision and image processing.
Comput. Vis. Image Underst., 2011

Solving SDD linear systems in time Õ(mlog nlog(1/ε))
CoRR, 2011

Near linear-work parallel SDD solvers, low-diameter decomposition, and low-stretch subgraphs.
Proceedings of the SPAA 2011: Proceedings of the 23rd Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2011

A Nearly-m log n Time Solver for SDD Linear Systems.
Proceedings of the IEEE 52nd Annual Symposium on Foundations of Computer Science, 2011

2010
Approaching optimality for solving SDD systems
CoRR, 2010

Hierarchical Diagonal Blocking and Precision Reduction Applied to Combinatorial Multigrid.
Proceedings of the Conference on High Performance Computing Networking, 2010

2009
Spectral Counting of Triangles in Power-Law Networks via Element-Wise Sparsification.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008
Graph partitioning into isolated, high conductance clusters: theory, computation and applications to preconditioning.
Proceedings of the SPAA 2008: Proceedings of the 20th Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2008

Faster Algebraic Algorithms for Path and Packing Problems.
Proceedings of the Automata, Languages and Programming, 35th International Colloquium, 2008

2007
A linear work, O(n<sup>1/6</sup>) time, parallel algorithm for solving planar Laplacians.
Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2007

2006
Parameterized complexity and improved inapproximability for computing the largest j-simplex in a V-polytope.
Inf. Process. Lett., 2006

2005
A faster parameterized algorithm for set packing.
Inf. Process. Lett., 2005

2003
On the Hardness of Approximate Multivariate Integration.
Proceedings of the Approximation, 2003

2001
Towards the effective parallel computation of matrix pseudospectra.
Proceedings of the 15th international conference on Supercomputing, 2001


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