| A probabilistic theory of deep learning AB Patel, T Nguyen, RG Baraniuk arXiv preprint arXiv:1504.00641, 2015 | 102 | 2015 |
| 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 | 88 | 2020 |
| A probabilistic framework for deep learning AB Patel, MT Nguyen, R Baraniuk Advances in neural information processing systems 29, 2016 | 88 | 2016 |
| GRAND++: Graph neural diffusion with a source term M Thorpe, T Nguyen, H Xia, T Strohmer, A Bertozzi, S Osher, B Wang ICLR, 2022 | 83 | 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 | 72 | 2023 |
| 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 | 70 | 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 | 61 | 2021 |
| 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 | 48 | 2020 |
| Scheduled restart momentum for accelerated stochastic gradient descent B Wang, TM Nguyen, AL Bertozzi, RG Baraniuk, SJ Osher SIAM Journal on Imaging Sciences, 2022 | 47 | 2022 |
| 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 | 31 | 2023 |
| 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 | 31 | 2020 |
| 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 | 30 | 2022 |
| 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 | 30* | 2021 |
| Hierarchical sliced wasserstein distance K Nguyen, T Ren, H Nguyen, L Rout, T Nguyen, N Ho International Conference on Learning Representations (ICLR), 2023, 2023 | 24 | 2023 |
| 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 | 24 | 2022 |
| 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 | 22 | 2022 |
| Energynet: Energy-efficient dynamic inference Y Wang, T Nguyen, Y Zhao, Z Wang, Y Lin, R Baraniuk | 19 | 2018 |
| A primal-dual framework for transformers and neural networks TM Nguyen, T Nguyen, N Ho, AL Bertozzi, RG Baraniuk, SJ Osher International Conference on Learning Representations (ICLR), 2023, 2023 | 15 | 2023 |
| 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 |
| Improving neural ordinary differential equations with nesterov's accelerated gradient method HHN Nguyen, T Nguyen, H Vo, S Osher, T Vo Advances in Neural Information Processing Systems 35, 7712-7726, 2022 | 10 | 2022 |
Richard BaraniukC. Sidney Burrus Professor, Electrical & Computer Engineering, Rice UniversityVerified email at rice.edu
