| A probabilistic theory of deep learning AB Patel, T Nguyen, RG Baraniuk arXiv preprint arXiv:1504.00641, 2015 | 98 | 2015 |
| A probabilistic framework for deep learning AB Patel, MT Nguyen, R Baraniuk Advances in neural information processing systems 29, 2016 | 87 | 2016 |
| Dual dynamic inference: Enabling more efficient, adaptive, and controllable deep inference Y Wang, J Shen, TK Hu, P Xu, T Nguyen, R Baraniuk, Z Wang, Y Lin IEEE Journal of Selected Topics in Signal Processing 14 (4), 623-633, 2020 | 79 | 2020 |
| GRAND++: Graph neural diffusion with a source term M Thorpe, TM Nguyen, H Xia, T Strohmer, A Bertozzi, S Osher, B Wang International Conference on Learning Representation (ICLR), 2022 | 58 | 2022 |
| Turbulence forecasting via neural ode GD Portwood, PP Mitra, MD Ribeiro, TM Nguyen, BT Nadiga, JA Saenz, ... NeurIPS Workshop on Machine Learning and the Physical Sciences, 2019 | 57 | 2019 |
| Heavy ball neural ordinary differential equations H Xia, V Suliafu, H Ji, T Nguyen, A Bertozzi, S Osher, B Wang Advances in Neural Information Processing Systems 34, 18646-18659, 2021 | 52 | 2021 |
| Implementation of an adaptive controller for the startup and steady‐state running of a biomethanation process operated in the CSTR mode P Renard, V Van Breusegem, MT Nguyen, H Naveau, EJ Nyns Biotechnology and bioengineering 38 (8), 805-812, 1991 | 49 | 1991 |
| Scheduled restart momentum for accelerated stochastic gradient descent B Wang, TM Nguyen, AL Bertozzi, RG Baraniuk, SJ Osher SIAM Journal on Imaging Sciences, 2022 | 41 | 2022 |
| Neural networks with recurrent generative feedback Y Huang, J Gornet, S Dai, Z Yu, T Nguyen, D Tsao, A Anandkumar Advances in Neural Information Processing Systems 33, 535-545, 2020 | 41 | 2020 |
| Momentumrnn: Integrating momentum into recurrent neural networks T Nguyen, R Baraniuk, A Bertozzi, S Osher, B Wang Advances in Neural Information Processing Systems 33, 1924-1936, 2020 | 28 | 2020 |
| Hierarchical sliced wasserstein distance K Nguyen, T Ren, H Nguyen, L Rout, T Nguyen, N Ho International Conference on Learning Representations (ICLR), 2023, 2022 | 23 | 2022 |
| Revisiting over-smoothing and over-squashing using ollivier-ricci curvature K Nguyen, NM Hieu, VD Nguyen, N Ho, S Osher, TM Nguyen International Conference on Machine Learning (ICML), 2023, 25956-25979, 2023 | 22 | 2023 |
| Fmmformer: Efficient and flexible transformer via decomposed near-field and far-field attention T Nguyen, V Suliafu, S Osher, L Chen, B Wang Advances in neural information processing systems 34, 29449-29463, 2021 | 21 | 2021 |
| Fourierformer: Transformer meets generalized fourier integral theorem T Nguyen, M Pham, T Nguyen, K Nguyen, S Osher, N Ho Advances in Neural Information Processing Systems 35, 29319-29335, 2022 | 19 | 2022 |
| Improving Transformers with Probabilistic Attention Keys T Nguyen, TM Nguyen, D Le, K Nguyen, A Tran, RG Baraniuk, N Ho, ... International Conference on Machine Learning, 2022 | 19 | 2022 |
| Energynet: Energy-efficient dynamic inference Y Wang, T Nguyen, Y Zhao, Z Wang, Y Lin, R Baraniuk | 17 | 2018 |
| Neural collapse in deep linear network: From balanced to imbalanced data H Dang, T Nguyen, T Tran, H Tran, N Ho International Conference on Machine Learning (ICML), 2023, 2023 | 15 | 2023 |
| Improving transformer with an admixture of attention heads T Nguyen, T Nguyen, H Do, K Nguyen, V Saragadam, M Pham, ... Advances in neural information processing systems 35, 27937-27952, 2022 | 14 | 2022 |
| InfoCNF: An efficient conditional continuous normalizing flow with adaptive solvers TM Nguyen, A Garg, RG Baraniuk, A Anandkumar arXiv preprint arXiv:1912.03978, 2019 | 13 | 2019 |
| Semi-supervised learning with the deep rendering mixture model T Nguyen, W Liu, E Perez, RG Baraniuk, AB Patel arXiv preprint arXiv:1612.01942, 2016 | 10 | 2016 |
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityDirección de correo verificada de rice.edu
