| 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 | 8563 | 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 | 811 | 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 | 365 | 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 | 67 | 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 | 66 | 2020 |
| The iisignature library: efficient calculation of iterated-integral signatures and log signatures J Reizenstein, B Graham arXiv preprint arXiv:1802.08252, 2018 | 55 | 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 | 29 | 2019 |
| Calculation of iterated-integral signatures and log signatures J Reizenstein arXiv preprint arXiv:1712.02757, 2017 | 29 | 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 | 24 | 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 |
