Renormalization group flows of Hamiltonians using tensor networks M Bal, M Mariën, J Haegeman, F Verstraete Physical review letters 118 (25), 250602, 2017 | 83 | 2017 |

Parallel quantum simulation of large systems on small NISQ computers F Barratt, J Dborin, M Bal, V Stojevic, F Pollmann, AG Green npj Quantum Information 7 (1), 1-7, 2021 | 82 | 2021 |

Mapping topological to conformal field theories through strange correlators R Vanhove, M Bal, DJ Williamson, N Bultinck, J Haegeman, F Verstraete Physical review letters 121 (17), 177203, 2018 | 64 | 2018 |

Matrix product state renormalization M Bal, MM Rams, V Zauner, J Haegeman, F Verstraete Physical Review B 94 (20), 205122, 2016 | 21 | 2016 |

Truncating an exact matrix product state for the XY model: Transfer matrix and its renormalization MM Rams, V Zauner, M Bal, J Haegeman, F Verstraete Physical Review B 92 (23), 235150, 2015 | 21 | 2015 |

A Novel Machine Learning Approach Uncovers New and Distinctive Inhibitors for Cyclin-Dependent Kinase 9 M Assmann, M Bal, M Craig, J D'Oyley, L Phillips, H Triendl, PA Bates, ... bioRxiv 2020.03.18.996538, 2020 | 4 | 2020 |

Entanglement compression in scale space: From the multiscale entanglement renormalization ansatz to matrix product operators K Van Acoleyen, A Hallam, M Bal, M Hauru, J Haegeman, F Verstraete Physical Review B 102 (16), 165131, 2020 | 2 | 2020 |

Real-space renormalization group methods in the age of tensor network states M Bal Ghent University, 2018 | 2 | 2018 |

Sparse hierarchical representation learning on molecular graphs M Bal, H Triendl, M Assmann, M Craig, L Phillips, JM Frost, U Bashir, ... arXiv preprint arXiv:1908.02065, 2019 | 1 | 2019 |