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Ioannis Koutis
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2020 – today
- 2024
- [j15]Niloofar Aghaieabiane, Ioannis Koutis:
SGCP: a spectral self-learning method for clustering genes in co-expression networks. BMC Bioinform. 25(1): 230 (2024) - [j14]Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
K-SpecPart: Supervised Embedding Algorithms and Cut Overlay for Improved Hypergraph Partitioning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(4): 1232-1245 (2024) - [c28]Arash Moradi Karkaj, Mark J. Nelson, Ioannis Koutis, Amy K. Hoover:
Prompt Wrangling: On Replication and Generalization in Large Language Models for PCG Levels. FDG 2024: 76 - [i19]Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau:
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs. CoRR abs/2406.09639 (2024) - 2023
- [c27]Ehsan Beikihassan, Amy K. Hoover, Ioannis Koutis, Ali Parviz, Niloofar Aghaieabiane:
Resource-Constrained Knowledge Diffusion Processes Inspired by Human Peer Learning. ECAI 2023: 214-222 - [c26]Ismail Bustany, Grigor Gasparyan, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
An Open-Source Constraints-Driven General Partitioning Multi-Tool for VLSI Physical Design. ICCAD 2023: 1-9 - [c25]Ioannis Koutis, Michal Wlodarczyk, Meirav Zehavi:
Sidestepping Barriers for Dominating Set in Parameterized Complexity. IPEC 2023: 31:1-31:17 - [i18]Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
K-SpecPart: A Supervised Spectral Framework for Multi-Way Hypergraph Partitioning Solution Improvement. CoRR abs/2305.06167 (2023) - [i17]Shibo Yao, Dantong Yu, Ioannis Koutis:
Neural Network Pruning as Spectrum Preserving Process. CoRR abs/2307.08982 (2023) - [i16]Ioannis Koutis, Michal Wlodarczyk, Meirav Zehavi:
Sidestepping Barriers for Dominating Set in Parameterized Complexity. CoRR abs/2309.15645 (2023) - [i15]Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. CoRR abs/2310.04292 (2023) - [i14]Ehsan Beikihassan, Amy K. Hoover, Ioannis Koutis, Ali Parviz, Niloofar Aghaieabiane:
Resource-constrained knowledge diffusion processes inspired by human peer learning. CoRR abs/2312.00660 (2023) - 2022
- [c24]Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang:
SpecPart: A Supervised Spectral Framework for Hypergraph Partitioning Solution Improvement. ICCAD 2022: 13:1-13:9 - [i13]Niloofar Aghaieabiane, Ioannis Koutis:
SGC: A semi-supervised pipeline for gene clustering using self-training approach in gene co-expression networks. CoRR abs/2209.10545 (2022) - 2021
- [j13]Niloofar Aghaieabiane, Ioannis Koutis:
A Novel Calibration Step in Gene Co-Expression Network Construction. Frontiers Bioinform. 1 (2021) - [c23]Dong Wei, Ioannis Koutis, Senjuti Basu Roy:
Peer Learning Through Targeted Dynamic Groups Formation. ICDE 2021: 121-132
2010 – 2019
- 2019
- [c22]Ioannis Koutis, Huong Le:
Spectral Modification of Graphs for Improved Spectral Clustering. NeurIPS 2019: 4859-4868 - 2018
- [c21]Alexandra Kolla, Ioannis Koutis, Vivek Madan, Ali Kemal Sinop:
Spectrally Robust Graph Isomorphism. ICALP 2018: 84:1-84:13 - [c20]Daniele Calandriello, Ioannis Koutis, Alessandro Lazaric, Michal Valko:
Improved Large-Scale Graph Learning through Ridge Spectral Sparsification. ICML 2018: 687-696 - [i12]Alexandra Kolla, Ioannis Koutis, Vivek Madan, Ali Kemal Sinop:
Spectrally Robust Graph Isomorphism. CoRR abs/1805.00181 (2018) - 2017
- [c19]Andreas Björklund, Petteri Kaski, Ioannis Koutis:
Directed Hamiltonicity and Out-Branchings via Generalized Laplacians. ICALP 2017: 91:1-91:14 - 2016
- [j12]Ioannis Koutis, Ryan Williams:
Algebraic fingerprints for faster algorithms. Commun. ACM 59(1): 98-105 (2016) - [j11]Ioannis Koutis, Alex Levin, Richard Peng:
Faster Spectral Sparsification and Numerical Algorithms for SDD Matrices. ACM Trans. Algorithms 12(2): 17:1-17:16 (2016) - [j10]Ioannis Koutis, Ryan Williams:
LIMITS and Applications of Group Algebras for Parameterized Problems. ACM Trans. Algorithms 12(3): 31:1-31:18 (2016) - [j9]Ioannis Koutis, Shen Chen Xu:
Simple Parallel and Distributed Algorithms for Spectral Graph Sparsification. ACM Trans. Parallel Comput. 3(2): 14:1-14:14 (2016) - [c18]Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng:
Simple and Scalable Constrained Clustering: a Generalized Spectral Method. AISTATS 2016: 445-454 - [c17]Ittai Abraham, David Durfee, Ioannis Koutis, Sebastian Krinninger, Richard Peng:
On Fully Dynamic Graph Sparsifiers. FOCS 2016: 335-344 - [r1]Ioannis Koutis:
Multilinear Monomial Detection. Encyclopedia of Algorithms 2016: 1375-1378 - [i11]Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng:
Scalable Constrained Clustering: A Generalized Spectral Method. CoRR abs/1601.04746 (2016) - [i10]Daniele Calandriello, Alessandro Lazaric, Michal Valko, Ioannis Koutis:
Incremental Spectral Sparsification for Large-Scale Graph-Based Semi-Supervised Learning. CoRR abs/1601.05675 (2016) - [i9]Ittai Abraham, David Durfee, Ioannis Koutis, Sebastian Krinninger, Richard Peng:
On Fully Dynamic Graph Sparsifiers. CoRR abs/1604.02094 (2016) - [i8]Andreas Björklund, Ioannis Koutis:
Modular Sieves for Directed Hamiltonian Cycles. CoRR abs/1607.04002 (2016) - 2015
- [c16]Charalampos Mavroforakis, Richard Garcia-Lebron, Ioannis Koutis, Evimaria Terzi:
Spanning Edge Centrality: Large-scale Computation and Applications. WWW 2015: 732-742 - 2014
- [j8]Guy E. Blelloch, Anupam Gupta, Ioannis Koutis, Gary L. Miller, Richard Peng, Kanat Tangwongsan:
Nearly-Linear Work Parallel SDD Solvers, Low-Diameter Decomposition, and Low-Stretch Subgraphs. Theory Comput. Syst. 55(3): 521-554 (2014) - [j7]Ioannis Koutis, Gary L. Miller, Richard Peng:
Approaching Optimality for Solving SDD Linear Systems. SIAM J. Comput. 43(1): 337-354 (2014) - [c15]Ioannis Koutis:
Simple parallel and distributed algorithms for spectral graph sparsification. SPAA 2014: 61-66 - [i7]Ioannis Koutis:
A Simple Parallel Algorithm for Spectral Sparsification. CoRR abs/1402.3851 (2014) - [i6]Ioannis Koutis, Gary L. Miller, Richard Peng:
A Generalized Cheeger Inequality. CoRR abs/1412.6075 (2014) - 2012
- [j6]Ioannis Koutis, Gary L. Miller, Richard Peng:
A fast solver for a class of linear systems. Commun. ACM 55(10): 99-107 (2012) - [j5]Ioannis Koutis:
Constrained multilinear detection for faster functional motif discovery. Inf. Process. Lett. 112(22): 889-892 (2012) - [c14]Leo Brueggeman, Michael R. Fellows, Rudolf Fleischer, Martin Lackner, Christian Komusiewicz, Yiannis Koutis, Andreas Pfandler, Frances A. Rosamond:
Train Marshalling Is Fixed Parameter Tractable. FUN 2012: 51-56 - [c13]Ioannis Koutis, Alex Levin, Richard Peng:
Improved Spectral Sparsification and Numerical Algorithms for SDD Matrices. STACS 2012: 266-277 - [i5]Ioannis Koutis:
Constrained multilinear detection for faster functional motif discovery. CoRR abs/1206.3483 (2012) - [i4]Ioannis Koutis, Alex Levin, Richard Peng:
Faster spectral sparsification and numerical algorithms for SDD matrices. CoRR abs/1209.5821 (2012) - 2011
- [j4]Ioannis Koutis, Gary L. Miller, David Tolliver:
Combinatorial preconditioners and multilevel solvers for problems in computer vision and image processing. Comput. Vis. Image Underst. 115(12): 1638-1646 (2011) - [j3]Charalampos E. Tsourakakis, Petros Drineas, Eirinaios Michelakis, Ioannis Koutis, Christos Faloutsos:
Spectral counting of triangles via element-wise sparsification and triangle-based link recommendation. Soc. Netw. Anal. Min. 1(2): 75-81 (2011) - [c12]Ioannis Koutis, Gary L. Miller, Richard Peng:
A Nearly-m log n Time Solver for SDD Linear Systems. FOCS 2011: 590-598 - [c11]Guy E. Blelloch, Anupam Gupta, Ioannis Koutis, Gary L. Miller, Richard Peng, Kanat Tangwongsan:
Near linear-work parallel SDD solvers, low-diameter decomposition, and low-stretch subgraphs. SPAA 2011: 13-22 - [i3]Ioannis Koutis, Gary L. Miller, Richard Peng:
Solving SDD linear systems in time Õ(mlog nlog(1/ε)). CoRR abs/1102.4842 (2011) - [i2]Guy E. Blelloch, Anupam Gupta, Ioannis Koutis, Gary L. Miller, Richard Peng, Kanat Tangwongsan:
Near Linear-Work Parallel SDD Solvers, Low-Diameter Decomposition, and Low-Stretch Subgraphs. CoRR abs/1111.1750 (2011) - 2010
- [c10]Ioannis Koutis, Gary L. Miller, Richard Peng:
Approaching Optimality for Solving SDD Linear Systems. FOCS 2010: 235-244 - [c9]Guy E. Blelloch, Ioannis Koutis, Gary L. Miller, Kanat Tangwongsan:
Hierarchical Diagonal Blocking and Precision Reduction Applied to Combinatorial Multigrid. SC 2010: 1-12 - [i1]Ioannis Koutis, Gary L. Miller, Richard Peng:
Approaching optimality for solving SDD systems. CoRR abs/1003.2958 (2010)
2000 – 2009
- 2009
- [c8]Charalampos E. Tsourakakis, Petros Drineas, Eirinaios Michelakis, Ioannis Koutis, Christos Faloutsos:
Spectral Counting of Triangles in Power-Law Networks via Element-Wise Sparsification. ASONAM 2009: 66-71 - [c7]Ioannis Koutis, Ryan Williams:
Limits and Applications of Group Algebras for Parameterized Problems. ICALP (1) 2009: 653-664 - [c6]Ioannis Koutis, Gary L. Miller, David Tolliver:
Combinatorial Preconditioners and Multilevel Solvers for Problems in Computer Vision and Image Processing. ISVC (1) 2009: 1067-1078 - 2008
- [c5]Ioannis Koutis:
Faster Algebraic Algorithms for Path and Packing Problems. ICALP (1) 2008: 575-586 - [c4]Ioannis Koutis, Gary L. Miller:
Graph partitioning into isolated, high conductance clusters: theory, computation and applications to preconditioning. SPAA 2008: 137-145 - 2007
- [c3]Ioannis Koutis, Gary L. Miller:
A linear work, O(n1/6) time, parallel algorithm for solving planar Laplacians. SODA 2007: 1002-1011 - 2006
- [j2]Ioannis Koutis:
Parameterized complexity and improved inapproximability for computing the largest j-simplex in a V-polytope. Inf. Process. Lett. 100(1): 8-13 (2006) - 2005
- [j1]Ioannis Koutis:
A faster parameterized algorithm for set packing. Inf. Process. Lett. 94(1): 7-9 (2005) - 2003
- [c2]Ioannis Koutis:
On the Hardness of Approximate Multivariate Integration. RANDOM-APPROX 2003: 122-128 - 2001
- [c1]Constantine Bekas, Effrosini Kokiopoulou, Ioannis Koutis, Efstratios Gallopoulos:
Towards the effective parallel computation of matrix pseudospectra. ICS 2001: 260-269
Coauthor Index
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last updated on 2024-08-05 20:10 CEST by the dblp team
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