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Tan Minh Nguyen
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Year
A probabilistic theory of deep learning
AB Patel, T Nguyen, RG Baraniuk
arXiv preprint arXiv:1504.00641, 2015
1032015
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
952020
A probabilistic framework for deep learning
AB Patel, MT Nguyen, R Baraniuk
Advances in neural information processing systems 29, 2016
912016
GRAND++: Graph neural diffusion with a source term
M Thorpe, T Nguyen, H Xia, T Strohmer, A Bertozzi, S Osher, B Wang
ICLR, 2022
902022
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
792023
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
722019
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
672021
Scheduled restart momentum for accelerated stochastic gradient descent
B Wang, TM Nguyen, AL Bertozzi, RG Baraniuk, SJ Osher
SIAM Journal on Imaging Sciences, 2022
522022
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
492020
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
332023
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
332020
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
32*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
312022
Hierarchical sliced wasserstein distance
K Nguyen, T Ren, H Nguyen, L Rout, T Nguyen, N Ho
International Conference on Learning Representations (ICLR), 2023, 2023
282023
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
262022
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
242022
Energynet: Energy-efficient dynamic inference
Y Wang, T Nguyen, Y Zhao, Z Wang, Y Lin, R Baraniuk
192018
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
172023
InfoCNF: An efficient conditional continuous normalizing flow with adaptive solvers
TM Nguyen, A Garg, RG Baraniuk, A Anandkumar
arXiv preprint arXiv:1912.03978, 2019
132019
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
122022
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