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Ioannis Koutis

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Resource-constrained knowledge diffusion processes inspired by human peer learning

Dec 01, 2023
Ehsan Beikihassan, Amy K. Hoover, Ioannis Koutis, Ali Parviz, Niloofar Aghaieabiane

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Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets

Oct 18, 2023
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, Michał 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 Fitzgibbon, Błażej Banaszewski, Chad Martin, Dominic Masters

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Neural Network Pruning as Spectrum Preserving Process

Jul 18, 2023
Shibo Yao, Dantong Yu, Ioannis Koutis

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K-SpecPart: A Supervised Spectral Framework for Multi-Way Hypergraph Partitioning Solution Improvement

May 07, 2023
Ismail Bustany, Andrew B. Kahng, Ioannis Koutis, Bodhisatta Pramanik, Zhiang Wang

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

Sep 21, 2022
Niloofar Aghaieabiane, Ioannis Koutis

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Incremental Spectral Sparsification for Large-Scale Graph-Based Semi-Supervised Learning

Jan 21, 2016
Daniele Calandriello, Alessandro Lazaric, Michal Valko, Ioannis Koutis

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