| Characterizing the location of spinal and vertebral levels in the human cervical spinal cord DW Cadotte, A Cadotte, J Cohen-Adad, D Fleet, M Livne, JR Wilson, ... American Journal of Neuroradiology 36 (4), 803-810, 2015 | 90 | 2015 |
| Human attributes from 3d pose tracking L Sigal, DJ Fleet, NF Troje, M Livne Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 40 | 2010 |
| Human attributes from 3D pose tracking M Livne, L Sigal, NF Troje, DJ Fleet Computer Vision and Image Understanding 116 (5), 648-660, 2012 | 38 | 2012 |
| nach0: multimodal natural and chemical languages foundation model M Livne, Z Miftahutdinov, E Tutubalina, M Kuznetsov, D Polykovskiy, ... Chemical Science 15 (22), 8380-8389, 2024 | 23 | 2024 |
| ProT-VAE: protein transformer variational autoencoder for functional protein design E Sevgen, J Moller, A Lange, J Parker, S Quigley, J Mayer, P Srivastava, ... bioRxiv, 2023.01. 23.525232, 2023 | 19 | 2023 |
| Improving small molecule generation using mutual information machine D Reidenbach, M Livne, RK Ilango, M Gill, J Israeli arXiv preprint arXiv:2208.09016, 2022 | 12 | 2022 |
| Spinal cord segmentation by one dimensional normalized template matching: a novel, quantitative technique to analyze advanced magnetic resonance imaging data A Cadotte, DW Cadotte, M Livne, J Cohen-Adad, D Fleet, D Mikulis, ... PLoS One 10 (10), e0139323, 2015 | 12 | 2015 |
| Walking on thin air: Environment-free physics-based markerless motion capture M Livne, L Sigal, MA Brubaker, DJ Fleet 2018 15th Conference on Computer and Robot Vision (CRV), 158-165, 2018 | 7 | 2018 |
| Resolving the anatomic variability of the human cervical spinal cord: a solution to facilitate advanced neural imaging DW Cadotte, A Cadotte, J Cohen-Adad, D Fleet, M Livne, D Mikulis, ... Proceedings of the 22th Annual Meeting of ISMRM 1719, 2014 | 6 | 2014 |
| Sentencemim: A latent variable language model M Livne, K Swersky, DJ Fleet arXiv preprint arXiv:2003.02645, 2020 | 4 | 2020 |
| Tzk: Flow-based conditional generative model M Livne, D Fleet arXiv preprint arXiv:1902.01893, 2019 | 2 | 2019 |
| TzK Flow-Conditional Generative Model M Livne, DJ Fleet arXiv preprint arXiv:1811.01837, 2018 | 2 | 2018 |
| BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery PS John, D Lin, P Binder, M Greaves, V Shah, JS John, A Lange, P Hsu, ... arXiv preprint arXiv:2411.10548, 2024 | 1 | 2024 |
| cMIM: A Contrastive Mutual Information Framework for Unified Generative and Discriminative Representation Learning M Livne arXiv preprint arXiv:2502.19642, 2025 | | 2025 |
| Small molecule generation using machine learning models M Livne, DA Reidenbach, ML Gill, RK Ilango, Y Israeli US Patent App. 18/450,745, 2025 | | 2025 |
| System and method for processing endoscopy images in real time A Azad, B Xiong, D Armstrong, Q Fang, D Fleet, M Livne US Patent App. 18/576,302, 2024 | | 2024 |
| System and method for processing medical images in real time A Azar, X Bo, A David, F Qiyin, F David, L Micha CA Patent CA3223508A1, 2023 | | 2023 |
| Symmetric Variational Inference with High Mutual Information M Livne University of Toronto (Canada), 2020 | | 2020 |
| MIM: Mutual Information Machine M Livne, K Swersky, DJ Fleet arXiv preprint arXiv:1910.03175, 2019 | | 2019 |
| High Mutual Information in Representation Learning with Symmetric Variational Inference M Livne, K Swersky, DJ Fleet arXiv preprint arXiv:1910.04153, 2019 | | 2019 |
David J FleetGoogle DeepMind; University of Toronto; Vector InstituteBestätigte E-Mail-Adresse bei cs.toronto.edu