Search Results - "Goh, Siong Thye"

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  1. 1

    A new and fast implementation for null space based linear discriminant analysis by Chu, Delin, Thye, Goh Siong

    Published in Pattern recognition (01-04-2010)
    “…In this paper we present a new implementation for the null space based linear discriminant analysis. The main features of our implementation include: (i) the…”
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    Journal Article
  2. 2

    Variational Quantum-Based Simulation of Waveguide Modes by Ewe, Wei-Bin, Koh, Dax Enshan, Goh, Siong Thye, Chu, Hong-Son, Png, Ching Eng

    “…Variational quantum algorithms (VQAs) are one of the most promising methods that can be implemented on noisy intermediate-scale quantum (NISQ) machines to…”
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    Journal Article
  3. 3

    QROSS: QUBO Relaxation Parameter optimisation via Learning Solver Surrogates by Huang, Tian, Goh, Siong Thye, Gopalakrishnan, Sabrish, Luo, Tao, Li, Qianxiao, Lau, Hoong Chuin

    “…A popular method for solving a constrained combinatorial optimisation problem is to first convert it into a quadratic unconstrained binary optimisation (QUBO)…”
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    Conference Proceeding
  4. 4

    Quantum Volunteer's Dilemma by Koh, Dax Enshan, Kumar, Kaavya, Goh, Siong Thye

    Published 09-09-2024
    “…The volunteer's dilemma is a well-known game in game theory that models the conflict players face when deciding whether to volunteer for a collective benefit,…”
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    Journal Article
  5. 5

    A Minimax Surrogate Loss Approach to Conditional Difference Estimation by Goh, Siong Thye, Rudin, Cynthia

    Published 10-03-2018
    “…We present a new machine learning approach to estimate personalized treatment effects in the classical potential outcomes framework with binary outcomes. To…”
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    Journal Article
  6. 6

    A Hybrid Framework Using a QUBO Solver For Permutation-Based Combinatorial Optimization by Goh, Siong Thye, Gopalakrishnan, Sabrish, Bo, Jianyuan, Lau, Hoong Chuin

    Published 27-09-2020
    “…In this paper, we propose a hybrid framework to solve large-scale permutation-based combinatorial problems effectively using a high-performance quadratic…”
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    Journal Article
  7. 7

    Double-bracket quantum algorithms for high-fidelity ground state preparation by Robbiati, Matteo, Pedicillo, Edoardo, Pasquale, Andrea, Li, Xiaoyue, Wright, Andrew, Farias, Renato M. S, Giang, Khanh Uyen, Son, Jeongrak, Knörzer, Johannes, Goh, Siong Thye, Khoo, Jun Yong, Ng, Nelly H. Y, Holmes, Zoë, Carrazza, Stefano, Gluza, Marek

    Published 07-08-2024
    “…Ground state preparation is a key area where quantum computers are expected to prove advantageous. Double-bracket quantum algorithms (DBQAs) have been recently…”
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    Journal Article
  8. 8

    Solving Fractional Differential Equations on a Quantum Computer: A Variational Approach by Leong, Fong Yew, Koh, Dax Enshan, Kong, Jian Feng, Goh, Siong Thye, Khoo, Jun Yong, Ewe, Wei-Bin, Li, Hongying, Thompson, Jayne, Poletti, Dario

    Published 13-06-2024
    “…AVS Quantum Sci. 6, 033802 (2024) We introduce an efficient variational hybrid quantum-classical algorithm designed for solving Caputo time-fractional partial…”
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    Journal Article
  9. 9

    QROSS: QUBO Relaxation Parameter Optimisation via Learning Solver Surrogates by Huang, Tian, Goh, Siong Thye, Gopalakrishnan, Sabrish, Luo, Tao, Li, Qianxiao, Lau, Hoong Chuin

    Published 19-03-2021
    “…An increasingly popular method for solving a constrained combinatorial optimisation problem is to first convert it into a quadratic unconstrained binary…”
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    Journal Article
  10. 10

    Variational Quantum-Based Simulation of Waveguide Modes by Ewe, Wei-Bin, Koh, Dax Enshan, Goh, Siong Thye, Chu, Hong-Son, Png, Ching Eng

    Published 17-02-2022
    “…IEEE Transactions on Microwave Theory and Techniques, vol. 70, no. 5, pp. 2517-2525, May 2022 Variational quantum algorithms are one of the most promising…”
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    Journal Article
  11. 11

    Box Drawings for Learning with Imbalanced Data by Goh, Siong Thye, Rudin, Cynthia

    Published 13-03-2014
    “…The vast majority of real world classification problems are imbalanced, meaning there are far fewer data from the class of interest (the positive class) than…”
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    Journal Article
  12. 12

    Sparse Density Trees and Lists: An Interpretable Alternative to High-Dimensional Histograms by Goh, Siong Thye, Semenova, Lesia, Rudin, Cynthia

    Published 22-10-2015
    “…We present sparse tree-based and list-based density estimation methods for binary/categorical data. Our density estimation models are higher dimensional…”
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    Journal Article