Tristan Aumentado-Armstrong

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Alex LevinshteinResearch Director, Samsung AI Center, TorontoVerified email at samsung.com
Konstantinos G. DerpanisYork University and Samsung AI Centre TorontoVerified email at eecs.yorku.ca
Allan D. JepsonSamsung AIC Toronto; University of TorontoVerified email at cs.toronto.edu
Marcus A BrubakerAssociate Professor, York University; Faculty Affiliate, Vector InstituteVerified email at yorku.ca
Stavros TsogkasSamsung AI Center, University of TorontoVerified email at cs.toronto.edu
Ashkan MirzaeiUniversity of Toronto, Nvidia Toronto AI LabVerified email at cs.toronto.edu
Igor GilitschenskiAssistant Professor, University of TorontoVerified email at cs.toronto.edu
Jonathan KellyUniversity of Toronto Institute for Aerospace StudiesVerified email at utias.utoronto.ca
Sven DickinsonProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Tristan GlatardConcordia UniversityVerified email at concordia.ca
Alan Evans, PhD, FRSC, FCAHS, CACCJames McGill Prof. of Neurology, Victor Dahdaleh Chair in Neurosciences, McGill U.Verified email at mcgill.ca
Gregory KiarChild Mind InstituteVerified email at childmind.org
Sorina Camarasu-PopUniv Lyon, INSA‐Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATISVerified email at creatis.insa-lyon.fr
Rafael Ferreira da SilvaOak Ridge National LaboratoryVerified email at ornl.gov
Pierre BellecCRIUGM, Psychology, University of MontrealVerified email at criugm.qc.ca
Marc-Etienne RousseauMcGill UniversityVerified email at mcgill.ca
Kaleem SiddiqiProfessor of Computer Science, McGill UniversityVerified email at cim.mcgill.ca
Kaustuv BasuStaff Scientist at McGill UniversityVerified email at mcgill.ca
Attila SikUniversity of PecsVerified email at pte.hu
Jin ChenUniversity of Central FloridaVerified email at mail.ucf.edu

Tristan Aumentado-Armstrong

University of Toronto, Samsung Artificial Intelligence Centre Toronto

Verified email at mail.utoronto.ca - Homepage

Artificial Intelligence Computer Vision Machine Learning Computational Biology


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Algorithmic approaches to protein-protein interaction site prediction TT Aumentado-Armstrong, B Istrate, RA Murgita Algorithms for Molecular Biology 10 (1), 7, 2015	64	2015
Molecular mechanism of DRP1 assembly studied in vitro by cryo-electron microscopy K Basu, D Lajoie, T Aumentado-Armstrong, J Chen, RI Koning, B Bossy, ... PloS one 12 (6), e0179397, 2017	60	2017
SPIn-NeRF: Multiview segmentation and perceptual inpainting with neural radiance fields A Mirzaei, T Aumentado-Armstrong, KG Derpanis, J Kelly, MA Brubaker, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	53	2023
Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor CJ Bendell, S Liu, T Aumentado-Armstrong, B Istrate, PT Cernek, S Khan, ... BMC bioinformatics 15 (1), 82, 2014	52	2014
Geometric disentanglement for generative latent shape models T Aumentado-Armstrong, S Tsogkas, A Jepson, S Dickinson Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	50	2019
Boutiques: a flexible framework to integrate command-line applications in computing platforms T Glatard, G Kiar, T Aumentado-Armstrong, N Beck, P Bellec, R Bernard, ... GigaScience 7 (5), giy016, 2018	45*	2018
Latent Molecular Optimization for Targeted Therapeutic Design T Aumentado-Armstrong arXiv preprint arXiv:1809.02032, 2018	39	2018
Towards robust bisimulation metric learning M Kemertas, T Aumentado-Armstrong Advances in Neural Information Processing Systems 34, 4764-4777, 2021	37	2021
Electrosensory midbrain neurons display feature invariant responses to natural communication stimuli T Aumentado-Armstrong, MG Metzen, MKJ Sproule, MJ Chacron PLoS computational biology 11 (10), e1004430, 2015	29	2015
Representing 3D Shapes with Probabilistic Directed Distance Fields T Aumentado-Armstrong, S Tsogkas, S Dickinson, AD Jepson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	17	2022
Reference-guided controllable inpainting of neural radiance fields A Mirzaei, T Aumentado-Armstrong, MA Brubaker, J Kelly, A Levinshtein, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023	11	2023
Disentangling geometric deformation spaces in generative latent shape models T Aumentado-Armstrong, S Tsogkas, S Dickinson, A Jepson International Journal of Computer Vision 131 (7), 1611-1641, 2023	9	2023
Cycle-Consistent Generative Rendering for 2D-3D Modality Translation T Aumentado-Armstrong, A Levinshtein, S Tsogkas, KG Derpanis, ... 2020 International Conference on 3D Vision (3DV), 230-240, 2020	9	2020
Watch Your Steps: Local Image and Scene Editing by Text Instructions A Mirzaei, T Aumentado-Armstrong, MA Brubaker, J Kelly, A Levinshtein, ... arXiv preprint arXiv:2308.08947, 2023	8	2023
Conduction in the Heart Wall: Helicoidal fibers minimize diffusion Bias T Aumentado-Armstrong, A Kadivar, P Savadjiev, SW Zucker, K Siddiqi Scientific Reports 8 (1), 7165, 2018	8	2018
GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks VS Bhaskara, T Aumentado-Armstrong, AD Jepson, A Levinshtein Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022	7	2022
Cartan frames for heart wall fiber motion B Samari, T Aumentado-Armstrong, G Strijkers, M Froeling, K Siddiqi Functional Imaging and Modelling of the Heart: 9th International Conference …, 2017	2	2017
Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations T Aumentado-Armstrong, A Mirzaei, MA Brubaker, J Kelly, A Levinshtein, ... arXiv preprint arXiv:2310.17880, 2023	1	2023
Stochastic Heat Kernel Estimation on Sampled Manifolds T Aumentado‐Armstrong, K Siddiqi Computer Graphics Forum 36 (5), 131-138, 2017	1	2017
Denoising moving heart wall fibers using cartan frames B Samari, T Aumentado-Armstrong, G Strijkers, M Froeling, K Siddiqi Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017	1	2017

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