Nam H. Nguyen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 24

Top Topics

Scale Invariant

Context Specific Independence

Quantum Computation

Top Venues

J. Control. Sci. Eng.

IEEE Trans. Neural Networks Learn. Syst.

Publications

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
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data. AAAI (2024)
Thomas D. P. Edwards, James Alvey, Justin Alsing, Nam H. Nguyen, Benjamin D. Wandelt
Scaling-laws for Large Time-series Models. CoRR (2024)
Vijay Ekambaram, Arindam Jati, Nam H. Nguyen, Pankaj Dayama, Chandra Reddy, Wesley M. Gifford, Jayant Kalagnanam
Tiny Time Mixers (TTMs): Fast Pretrained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series. CoRR (2024)
Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers. ICLR (2023)
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
AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data. CoRR (2023)
Zepu Wang, Yuqi Nie, Peng Sun, Nam H. Nguyen, John M. Mulvey, H. Vincent Poor
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting. CoRR (2023)
Long H. Chu, Nam H. Nguyen
Adaptive Sliding Mode Control for the Quadrotor with unknown Disturbance and Uncertain Parameters. ICSSE (2023)
Yuqi Nie, Nam H. Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers. CoRR (2022)
Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang Peter Chin, Trac D. Tran
A Scale Invariant Measure of Flatness for Deep Network Minima. ICASSP (2021)
My A. Vu, Nam H. Nguyen, Hanh Le T. Nguyen, Anh N. Ta, Mong H. Nguyen
Optimal fire allocation in a combat model of mixed NCW type. CoRR (2021)
Sima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
Quantum circuit representation of Bayesian networks. Expert Syst. Appl. 176 (2021)
Su V. Huynh, Nam H. Nguyen, Ngoc T. Nguyen, Vinh TQ. Nguyen, Chau Huynh, Chuong Nguyen
A Strong Baseline for Vehicle Re-Identification. CoRR (2021)
Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
Quantum learning with noise and decoherence: a robust quantum neural network. Quantum Mach. Intell. 2 (1) (2020)
Khanh G. Tran, Nam H. Nguyen, Phuoc D. Nguyen
Observer-Based Controllers for Two-Wheeled Inverted Robots with Unknown Input Disturbance and Model Uncertainty. J. Control. Sci. Eng. 2020 (2020)
Sima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck
Experimental evaluation of quantum Bayesian networks on IBM QX hardware. CoRR (2020)
Nam H. Nguyen, Elizabeth C. Behrman, Mohamed A. Moustafa, James Edward Steck
Benchmarking Neural Networks For Quantum Computations. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Ramkumar Harikrishnakumar, Saideep Nannapaneni, Nam H. Nguyen, James Edward Steck, Elizabeth C. Behrman
A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem. CoRR (2020)
Sima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck
Experimental evaluation of quantum Bayesian networks on IBM QX hardware. QCE (2020)
Sima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
Quantum circuit representation of Bayesian networks. CoRR (2020)
Nathan L. Thompson, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck
Experimental pairwise entanglement estimation for an N-qubit system. Quantum Inf. Process. 19 (10) (2020)
Dzung T. Phan, Lam M. Nguyen, Nam H. Nguyen, Jayant R. Kalagnanam
Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization. ICDM (2020)
Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar, Dzung T. Phan, Sang H. Chin, Trac D. Tran
A Scale Invariant Flatness Measure for Deep Network Minima. CoRR (2019)
Lam M. Nguyen, Nam H. Nguyen, Dzung T. Phan, Jayant R. Kalagnanam, Katya Scheinberg
When Does Stochastic Gradient Algorithm Work Well? CoRR (2018)
Minh Dao, Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran
Collaborative Multi-Sensor Classification Via Sparsity-Based Representation. IEEE Trans. Signal Process. 64 (9) (2016)
Minh Dao, Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran
Collaborative Multi-sensor Classification via Sparsity-based Representation. CoRR (2014)
Nam H. Nguyen, Trac D. Tran
-Minimization. IEEE Trans. Inf. Theory 59 (4) (2013)
Nam H. Nguyen, Trac D. Tran
Robust Lasso With Missing and Grossly Corrupted Observations. IEEE Trans. Inf. Theory 59 (4) (2013)
Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran
Multi-sensor joint kernel sparse representation for personnel detection. EUSIPCO (2012)
Thong T. Do, Lu Gan, Nam H. Nguyen, Trac D. Tran
Fast and Efficient Compressive Sensing Using Structurally Random Matrices. IEEE Trans. Signal Process. 60 (1) (2012)
Thong T. Do, Lu Gan, Nam H. Nguyen, Trac D. Tran
Fast and Efficient Compressive Sensing using Structurally Random Matrices CoRR (2011)
Nam H. Nguyen, Douglas L. Jones, Yingchen Yang, Chang Liu
Flow Vision for Autonomous Underwater Vehicles via an Artificial Lateral Line. EURASIP J. Adv. Signal Process. 2011 (2011)
Nam H. Nguyen, Trac D. Tran
Robust Lasso with missing and grossly corrupted observations CoRR (2011)
Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran
Robust Lasso with missing and grossly corrupted observations. NIPS (2011)
Nam H. Nguyen, Nasser M. Nasrabadi, Trac D. Tran
Robust multi-sensor classification via joint sparse representation. FUSION (2011)
Nam H. Nguyen, Trac D. Tran
minimization CoRR (2011)
Nam H. Nguyen, Petros Drineas, Trac D. Tran
Tensor sparsification via a bound on the spectral norm of random tensors CoRR (2010)
Thong T. Do, Yi Chen, Nam H. Nguyen, Lu Gan, Trac D. Tran
A fast and efficient heuristic nuclear-norm algorithm for affine rank minimization. ICASSP (2009)
Nam H. Nguyen, Ingo Wiegand, Douglas L. Jones
Sparse beamforming for active underwater electrolocation. ICASSP (2009)
Nam H. Nguyen, Thong T. Do, Trac D. Tran
A fast and efficient algorithm for low-rank approximation of a matrix. STOC (2009)
Nam H. Nguyen, Sudha Krishnamurthy, Peng Xie, Douglas L. Jones
Improving information availability in storage-centric sensor networks. LCN (2008)
Nam H. Nguyen, Douglas L. Jones, Saunvit Dinesh Pandya, Yingchen Yang, Nannan Chen, Craig Tucker, Chang Liu
Biomimetic Flow Imaging with an Artificial Fish Lateral Line. BIOSIGNALS (2) (2008)
Thong T. Do, Lu Gan, Nam H. Nguyen, Trac D. Tran
Sparsity adaptive matching pursuit algorithm for practical compressed sensing. ACSCC (2008)