Nguyen, Tan

11 publications

NeurIPS 2023 Designing Robust Transformers Using Robust Kernel Density Estimation Xing Han, Tongzheng Ren, Tan Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho

NeurIPS 2023 Mitigating Over-Smoothing in Transformers via Regularized Nonlocal Functionals Tam Nguyen, Tan Nguyen, Richard Baraniuk

NeurIPS 2022 FourierFormer: Transformer Meets Generalized Fourier Integral Theorem Tan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley Osher, Nhat Ho

NeurIPS 2022 Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method Ho Huu Nghia Nguyen, Tan Nguyen, Huyen Vo, Stanley Osher, Thieu Vo

NeurIPS 2022 Improving Transformer with an Admixture of Attention Heads Tan Nguyen, Tam Nguyen, Hai Do, Khai Nguyen, Vishwanath Saragadam, Minh Pham, Khuong Duy Nguyen, Nhat Ho, Stanley Osher

NeurIPS 2021 FMMformer: Efficient and Flexible Transformer via Decomposed Near-Field and Far-Field Attention Tan Nguyen, Vai Suliafu, Stanley Osher, Long Chen, Bao Wang

NeurIPS 2021 Heavy Ball Neural Ordinary Differential Equations Hedi Xia, Vai Suliafu, Hangjie Ji, Tan Nguyen, Andrea Bertozzi, Stanley Osher, Bao Wang

NeurIPS 2020 MomentumRNN: Integrating Momentum into Recurrent Neural Networks Tan Nguyen, Richard Baraniuk, Andrea Bertozzi, Stanley Osher, Bao Wang

NeurIPS 2020 Neural Networks with Recurrent Generative Feedback Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan Nguyen, Doris Tsao, Anima Anandkumar

NeurIPSW 2019 Brain-Inspired Robust Vision Using Convolutional Neural Networks with Feedback Yujia Huang, Sihui Dai, Tan Nguyen, Pinglei Bao, Doris Y. Tsao, Richard G. Baraniuk, Anima Anandkumar

ICML 2013 Algorithms for Direct 0–1 Loss Optimization in Binary Classification Tan Nguyen, Scott Sanner