Llama 2: Open foundation and fine-tuned chat models H Touvron, L Martin, K Stone, P Albert, A Almahairi, Y Babaei, ... arXiv preprint arXiv:2307.09288, 2023 | 6932 | 2023 |

Accelerating 3D Deep Learning with PyTorch3D N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ... arXiv preprint arXiv:2007.08501, 2020 | 768 | 2020 |

Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction J Reizenstein, R Shapovalov, P Henzler, L Sbordone, P Labatut, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 338 | 2021 |

Unsupervised Learning of 3D Object Categories from Videos in the Wild P Henzler, J Reizenstein, P Labatut, R Shapovalov, T Ritschel, A Vedaldi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 63 | 2021 |

Accelerating 3D deep learning with PyTorch3D J Johnson, N Ravi, J Reizenstein, D Novotny, S Tulsiani, C Lassner, ... SIGGRAPH Asia 2020 Courses, 1-1, 2020 | 62 | 2020 |

The iisignature library: efficient calculation of iterated-integral signatures and log signatures J Reizenstein, B Graham arXiv preprint arXiv:1802.08252, 2018 | 52 | 2018 |

Pytorch3d N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ... | 35 | 2020 |

Algorithm 1004: The Iisignature Library: Efficient Calculation of Iterated-Integral Signatures and Log Signatures JF Reizenstein, B Graham ACM Transactions on Mathematical Software (TOMS) 46 (1), 1-21, 2020 | 33 | 2020 |

Invariants of multidimensional time series based on their iterated-integral signature J Diehl, J Reizenstein Acta Applicandae Mathematicae 164 (1), 83-122, 2019 | 28 | 2019 |

Calculation of iterated-integral signatures and log signatures J Reizenstein arXiv preprint arXiv:1712.02757, 2017 | 28 | 2017 |

PerspectiveNet: A scene-consistent image generator for new view synthesis in real indoor environments D Novotny, B Graham, J Reizenstein Advances in Neural Information Processing Systems 32, 7601-7612, 2019 | 23 | 2019 |

Efficient batchwise dropout training using submatrices B Graham, J Reizenstein, L Robinson arXiv preprint arXiv:1502.02478, 2015 | 19 | 2015 |

Areas of areas generate the shuffle algebra J Diehl, T Lyons, R Preiß, J Reizenstein arXiv preprint arXiv:2002.02338, 2020 | 12 | 2020 |

Common pets in 3d: Dynamic new-view synthesis of real-life deformable categories S Sinha, R Shapovalov, J Reizenstein, I Rocco, N Neverova, A Vedaldi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |

Iterated-integral signatures in machine learning JF Reizenstein University of Warwick, 2019 | 10 | 2019 |

A structure theorem for streamed information C Salvi, J Diehl, T Lyons, R Preiss, J Reizenstein Journal of Algebra 634, 911-938, 2023 | 3 | 2023 |