| Improving and generalizing flow-based generative models with minibatch optimal transport A Tong, K Fatras, N Malkin, G Huguet, Y Zhang, J Rector-Brooks, G Wolf, ... arXiv preprint arXiv:2302.00482, 2023 | 228* | 2023 |
| Se (3)-stochastic flow matching for protein backbone generation AJ Bose, T Akhound-Sadegh, G Huguet, K Fatras, J Rector-Brooks, ... arXiv preprint arXiv:2310.02391, 2023 | 55 | 2023 |
| Manifold interpolating optimal-transport flows for trajectory inference G Huguet, DS Magruder, A Tong, O Fasina, M Kuchroo, G Wolf, ... Advances in neural information processing systems 35, 29705-29718, 2022 | 51 | 2022 |
| Single-cell analysis reveals inflammatory interactions driving macular degeneration M Kuchroo, M DiStasio, E Song, E Calapkulu, L Zhang, M Ige, AH Sheth, ... Nature Communications 14 (1), 2589, 2023 | 37 | 2023 |
| Simulation-free schr\" odinger bridges via score and flow matching A Tong, N Malkin, K Fatras, L Atanackovic, Y Zhang, G Huguet, G Wolf, ... arXiv preprint arXiv:2307.03672, 2023 | 35 | 2023 |
| Diffusion earth mover’s distance and distribution embeddings AY Tong, G Huguet, A Natik, K MacDonald, M Kuchroo, R Coifman, ... International Conference on Machine Learning, 10336-10346, 2021 | 33* | 2021 |
| Sequence-Augmented SE (3)-Flow Matching For Conditional Protein Backbone Generation G Huguet, J Vuckovic, K Fatras, E Thibodeau-Laufer, P Lemos, R Islam, ... arXiv preprint arXiv:2405.20313, 2024 | 16 | 2024 |
| Geodesic sinkhorn for fast and accurate optimal transport on manifolds G Huguet, A Tong, MR Zapatero, CJ Tape, G Wolf, S Krishnaswamy 2023 IEEE 33rd International Workshop on Machine Learning for Signal …, 2023 | 14* | 2023 |
| Embedding signals on graphs with unbalanced diffusion earth mover’s distance A Tong, G Huguet, D Shung, A Natik, M Kuchroo, G Lajoie, G Wolf, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 11 | 2022 |
| Assessing neural network representations during training using noise-resilient diffusion spectral entropy D Liao, C Liu, BW Christensen, A Tong, G Huguet, G Wolf, M Nickel, ... 2024 58th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2024 | 10* | 2024 |
| A heat diffusion perspective on geodesic preserving dimensionality reduction G Huguet, A Tong, E De Brouwer, Y Zhang, G Wolf, I Adelstein, ... Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Imageflownet: Forecasting multiscale image-level trajectories of disease progression with irregularly-sampled longitudinal medical images C Liu, K Xu, LL Shen, G Huguet, Z Wang, A Tong, D Bzdok, J Stewart, ... arXiv preprint arXiv:2406.14794, 2024 | 7 | 2024 |
| Geometry-aware autoencoders for metric learning and generative modeling on data manifolds X Sun, D Liao, K MacDonald, Y Zhang, G Huguet, G Wolf, I Adelstein, ... ICML 2024 Workshop on Geometry-grounded Representation Learning and …, 2024 | 6* | 2024 |
| Time-inhomogeneous diffusion geometry and topology G Huguet, A Tong, B Rieck, J Huang, M Kuchroo, M Hirn, G Wolf, ... SIAM Journal on Mathematics of Data Science 5 (2), 346-372, 2023 | 4 | 2023 |
| Neural FIM for learning Fisher information metrics from point cloud data O Fasina, G Huguet, A Tong, Y Zhang, G Wolf, M Nickel, I Adelstein, ... International Conference on Machine Learning, 9814-9826, 2023 | 3 | 2023 |
| Graph Fourier MMD for Signals on Graphs S Leone, A Venkat, G Huguet, A Tong, G Wolf, S Krishnaswamy 2023 International Conference on Sampling Theory and Applications (SampTA), 1-6, 2023 | 1 | 2023 |
| Étude d’algorithmes de simulation par chaînes de Markov non réversibles G Huguet | | 2020 |
| Topological Analysis of Single-Cell Hierarchy Reveals Inflammatory Glial Landscape of Macular Degeneration M Kuchroo, M DiStasio, E Song, E Calapkulu, L Zhang, M Ige, AH Sheth, ... | | |
Alexander TongMila; Université de MontréalПодтвержден адрес электронной почты в домене mila.quebec
