Search Results for author: Vasileios Kalantzis

Found 3 papers, 1 papers with code

Topological data analysis on noisy quantum computers

no code implementations19 Sep 2022 Ismail Yunus Akhalwaya, Shashanka Ubaru, Kenneth L. Clarkson, Mark S. Squillante, Vishnu Jejjala, Yang-Hui He, Kugendran Naidoo, Vasileios Kalantzis, Lior Horesh

In this study, we present NISQ-TDA, a fully implemented end-to-end quantum machine learning algorithm needing only a short circuit-depth, that is applicable to high-dimensional classical data, and with provable asymptotic speedup for certain classes of problems.

Quantum Machine Learning Topological Data Analysis

Directed Graph Auto-Encoders

1 code implementation25 Feb 2022 Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Idé, Aurélie Lozano, Naoki Abe

We introduce a new class of auto-encoders for directed graphs, motivated by a direct extension of the Weisfeiler-Leman algorithm to pairs of node labels.

Decoder Link Prediction

PCENet: High Dimensional Surrogate Modeling for Learning Uncertainty

no code implementations10 Feb 2022 Paz Fink Shustin, Shashanka Ubaru, Vasileios Kalantzis, Lior Horesh, Haim Avron

In this paper, we present a novel surrogate model for representation learning and uncertainty quantification, which aims to deal with data of moderate to high dimensions.

Dimensionality Reduction Representation Learning +2

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