Transient protein-protein interface prediction: datasets, features, algorithms, and the RAD-T predictor. - Calem J. Bendell; Shalon Liu; Tristan Aumentado-Armstrong; Bogdan Istrate; Paul T. Cernek; Samuel Khan; Sergiu Picioreanu; Michael Zhao; Robert A. Murgita (BMC Bioinform., 2014)

Algorithmic approaches to protein-protein interaction site prediction. - Tristan Aumentado-Armstrong; Bogdan Istrate; Robert A. Murgita (Algorithms Mol. Biol., 2015)

Electrosensory Midbrain Neurons Display Feature Invariant Responses to Natural Communication Stimuli. - Tristan Aumentado-Armstrong; Michael G. Metzen; Michael K. J. Sproule; Maurice J. Chacron (PLoS Comput. Biol., 2015)

Cartan Frames for Heart Wall Fiber Motion. - Babak Samari; Tristan Aumentado-Armstrong; Gustav J. Strijkers; Martijn Froeling; Kaleem Siddiqi (FIMH, 2017)

Denoising Moving Heart Wall Fibers Using Cartan Frames. - Babak Samari; Tristan Aumentado-Armstrong; Gustav J. Strijkers; Martijn Froeling; Kaleem Siddiqi (MICCAI (1), 2017)

Stochastic Heat Kernel Estimation on Sampled Manifolds. - Tristan Aumentado-Armstrong; Kaleem Siddiqi (Comput. Graph. Forum, 2017)

Boutiques: a flexible framework for automated application integration in computing platforms. - Tristan Glatard; Gregory Kiar; Tristan Aumentado-Armstrong; Natacha Beck; Pierre Bellec; Rémi Bernard; Axel Bonnet; Sorina Camarasu-Pop; Frédéric Cervenansky; Samir Das; Rafael Ferreira da Silva; Guillaume Flandin; et al. (CoRR, 2017)

Latent Molecular Optimization for Targeted Therapeutic Design. - Tristan Aumentado-Armstrong (CoRR, 2018)

Geometric Disentanglement for Generative Latent Shape Models. - Tristan Aumentado-Armstrong; Stavros Tsogkas; Allan D. Jepson; Sven J. Dickinson (ICCV, 2019)

Cycle-Consistent Generative Rendering for 2D-3D Modality Translation. - Tristan Aumentado-Armstrong; Alex Levinshtein; Stavros Tsogkas; Konstantinos G. Derpanis; Allan D. Jepson (3DV, 2020)

Towards Robust Bisimulation Metric Learning. - Mete Kemertas; Tristan Aumentado-Armstrong (NeurIPS, 2021)

Representing 3D Shapes with Probabilistic Directed Distance Fields. - Tristan Aumentado-Armstrong; Stavros Tsogkas; Sven J. Dickinson; Allan D. Jepson (CVPR, 2022)

GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks. - Vineeth S. Bhaskara; Tristan Aumentado-Armstrong; Allan D. Jepson; Alex Levinshtein (WACV, 2022)

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. - Ashkan Mirzaei; Tristan Aumentado-Armstrong; Konstantinos G. Derpanis; Jonathan Kelly; Marcus A. Brubaker; Igor Gilitschenski; Alex Levinshtein (CVPR, 2023)

Reference-guided Controllable Inpainting of Neural Radiance Fields. - Ashkan Mirzaei; Tristan Aumentado-Armstrong; Marcus A. Brubaker; Jonathan Kelly; Alex Levinshtein; Konstantinos G. Derpanis; Igor Gilitschenski (ICCV, 2023)

Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations. - Tristan Aumentado-Armstrong; Ashkan Mirzaei; Marcus A. Brubaker; Jonathan Kelly; Alex Levinshtein; Konstantinos G. Derpanis; Igor Gilitschenski (CoRR, 2023)

Disentangling Geometric Deformation Spaces in Generative Latent Shape Models. - Tristan Aumentado-Armstrong; Stavros Tsogkas; Sven J. Dickinson; Allan D. Jepson (Int. J. Comput. Vis., 2023)

Watch Your Steps: Local Image and Scene Editing by Text Instructions. - Ashkan Mirzaei; Tristan Aumentado-Armstrong; Marcus A. Brubaker; Jonathan Kelly; Alex Levinshtein; Konstantinos G. Derpanis; Igor Gilitschenski (ECCV (38), 2024)

PolyOculus: Simultaneous Multi-view Image-Based Novel View Synthesis. - Jason J. Yu; Tristan Aumentado-Armstrong; Fereshteh Forghani; Konstantinos G. Derpanis; Marcus A. Brubaker (ECCV (63), 2024)

Probabilistic Directed Distance Fields for Ray-Based Shape Representations. - Tristan Aumentado-Armstrong; Stavros Tsogkas; Sven J. Dickinson; Allan D. Jepson (CoRR, 2024)

On Disentangled Analysis-by-Synthesis Shape Representations - Tristan Aumentado-Armstrong (2024)

Augmenting Perceptual Super-Resolution via Image Quality Predictors. - Fengjia Zhang; Samrudhdhi B. Rangrej; Tristan Aumentado-Armstrong; Afsaneh Fazly; Alex Levinshtein (CVPR, 2025)

Geometry-Aware Diffusion Models for Multiview Scene Inpainting. - Ahmad Salimi; Tristan Aumentado-Armstrong; Marcus A. Brubaker; Konstantinos G. Derpanis (CoRR, 2025)

Learn Your Scales: Towards Scale-Consistent Generative Novel View Synthesis. - Fereshteh Forghani; Jason J. Yu; Tristan Aumentado-Armstrong; Konstantinos G. Derpanis; Marcus A. Brubaker (CoRR, 2025)

Hallucination Score: Towards Mitigating Hallucinations in Generative Image Super-Resolution. - Weiming Ren; Raghav Goyal; Zhiming Hu; Tristan Aumentado-Armstrong; Iqbal Mohomed; Alex Levinshtein (CoRR, 2025)