Nam H. Nguyen

According to our database, Nam H. Nguyen authored at least 30 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scaling-laws for Large Time-series Models.

Thomas D. P. Edwards, James Alvey, Justin Alsing, Nam H. Nguyen, Benjamin D. Wandelt

CoRR, 2024

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series.

Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam

CoRR, 2024

AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data.

Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data.

Santosh Palaskar, Vijay Ekambaram, Arindam Jati, Neelamadhav Gantayat, Avirup Saha, Seema Nagar, Nam H. Nguyen, Pankaj Dayama, Renuka Sindhgatta, Prateeti Mohapatra, Harshit Kumar, Jayant Kalagnanam, Nandyala Hemachandra, Narayan Rangaraj

CoRR, 2023

ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting.

Zepu Wang, Yuqi Nie, Peng Sun, Nam H. Nguyen, John M. Mulvey, H. Vincent Poor

CoRR, 2023

Adaptive Sliding Mode Control for the Quadrotor with unknown Disturbance and Uncertain Parameters.

Long H. Chu, Nam H. Nguyen

Proceedings of the International Conference on System Science and Engineering, 2023

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, Jayant Kalagnanam

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Quantum circuit representation of Bayesian networks.

Sima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck

Expert Syst. Appl., 2021

A Strong Baseline for Vehicle Re-Identification.

Su V. Huynh, Nam H. Nguyen, Ngoc T. Nguyen, Vinh TQ. Nguyen, Chau Huynh, Chuong Nguyen

CoRR, 2021

Optimal fire allocation in a combat model of mixed NCW type.

My A. Vu, Nam H. Nguyen, Hanh Le T. Nguyen, Anh N. Ta, Mong H. Nguyen

CoRR, 2021

A Scale Invariant Measure of Flatness for Deep Network Minima.

Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang (Peter) Chin, Trac D. Tran

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Benchmarking Neural Networks For Quantum Computations.

Nam H. Nguyen, Elizabeth C. Behrman, Mohamed A. Moustafa, James Edward Steck

IEEE Trans. Neural Networks Learn. Syst., 2020

Quantum learning with noise and decoherence: a robust quantum neural network.

Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck

Quantum Mach. Intell., 2020

Experimental pairwise entanglement estimation for an N-qubit system.

Nathan L. Thompson, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck

Quantum Inf. Process., 2020

A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem.

Ramkumar Harikrishnakumar, Saideep Nannapaneni, Nam H. Nguyen, James Edward Steck, Elizabeth C. Behrman

CoRR, 2020

Experimental evaluation of quantum Bayesian networks on IBM QX hardware.

Sima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2020

Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization.

Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

A Scale Invariant Flatness Measure for Deep Network Minima.

Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang H. Chin, Trac D. Tran

CoRR, 2019

2018

When Does Stochastic Gradient Algorithm Work Well?

Lam M. Nguyen, Nam H. Nguyen, Dzung T. Phan, Jayant R. Kalagnanam, Katya Scheinberg

CoRR, 2018

2016

Collaborative Multi-Sensor Classification Via Sparsity-Based Representation.

Minh Dao, Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran

IEEE Trans. Signal Process., 2016

2013

Robust Lasso With Missing and Grossly Corrupted Observations.

Nam H. Nguyen, Trac D. Tran

IEEE Trans. Inf. Theory, 2013

Exact Recoverability From Dense Corrupted Observations via ℓ₁-Minimization.

Nam H. Nguyen, Trac D. Tran

IEEE Trans. Inf. Theory, 2013

2012

Fast and Efficient Compressive Sensing Using Structurally Random Matrices.

Thong T. Do, Lu Gan, Nam H. Nguyen, Trac D. Tran

IEEE Trans. Signal Process., 2012

Multi-sensor joint kernel sparse representation for personnel detection.

Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Robust Lasso with missing and grossly corrupted observations.

Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Robust multi-sensor classification via joint sparse representation.

Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran

Proceedings of the 14th International Conference on Information Fusion, 2011

2010

Tensor sparsification via a bound on the spectral norm of random tensors

Nam H. Nguyen, Petros Drineas, Trac D. Tran

CoRR, 2010

2009

A fast and efficient algorithm for low-rank approximation of a matrix.

Nam H. Nguyen, Thong T. Do, Trac D. Tran

Proceedings of the 41st Annual ACM Symposium on Theory of Computing, 2009

A fast and efficient heuristic nuclear-norm algorithm for affine rank minimization.

Thong T. Do, Yi Chen, Nam H. Nguyen, Lu Gan, Trac D. Tran

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Sparsity adaptive matching pursuit algorithm for practical compressed sensing.

Thong T. Do, Lu Gan, Nam H. Nguyen, Trac D. Tran

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008