Nam H. Nguyen

Orcid: 0000-0002-6741-633X

According to our database1, Nam H. Nguyen authored at least 30 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Scaling-laws for Large Time-series Models.
CoRR, 2024

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series.
CoRR, 2024

AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
AutoMixer for Improved Multivariate Time-Series Forecasting on BizITOps Data.
CoRR, 2023

ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting.
CoRR, 2023

Adaptive Sliding Mode Control for the Quadrotor with unknown Disturbance and Uncertain Parameters.
Proceedings of the International Conference on System Science and Engineering, 2023

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021
Quantum circuit representation of Bayesian networks.
Expert Syst. Appl., 2021

A Strong Baseline for Vehicle Re-Identification.
CoRR, 2021

Optimal fire allocation in a combat model of mixed NCW type.
CoRR, 2021

A Scale Invariant Measure of Flatness for Deep Network Minima.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Benchmarking Neural Networks For Quantum Computations.
IEEE Trans. Neural Networks Learn. Syst., 2020

Quantum learning with noise and decoherence: a robust quantum neural network.
Quantum Mach. Intell., 2020

Experimental pairwise entanglement estimation for an N-qubit system.
Quantum Inf. Process., 2020

A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem.
CoRR, 2020

Experimental evaluation of quantum Bayesian networks on IBM QX hardware.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2020

Pruning Deep Neural Networks with $\ell_{0}$-constrained Optimization.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
A Scale Invariant Flatness Measure for Deep Network Minima.
CoRR, 2019

2018
When Does Stochastic Gradient Algorithm Work Well?
CoRR, 2018

2016
Collaborative Multi-Sensor Classification Via Sparsity-Based Representation.
IEEE Trans. Signal Process., 2016

2013
Robust Lasso With Missing and Grossly Corrupted Observations.
IEEE Trans. Inf. Theory, 2013

Exact Recoverability From Dense Corrupted Observations via ℓ<sub>1</sub>-Minimization.
IEEE Trans. Inf. Theory, 2013

2012
Fast and Efficient Compressive Sensing Using Structurally Random Matrices.
IEEE Trans. Signal Process., 2012

Multi-sensor joint kernel sparse representation for personnel detection.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Robust Lasso with missing and grossly corrupted observations.
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.
Proceedings of the 14th International Conference on Information Fusion, 2011

2010
Tensor sparsification via a bound on the spectral norm of random tensors
CoRR, 2010

2009
A fast and efficient algorithm for low-rank approximation of a matrix.
Proceedings of the 41st Annual ACM Symposium on Theory of Computing, 2009

A fast and efficient heuristic nuclear-norm algorithm for affine rank minimization.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Sparsity adaptive matching pursuit algorithm for practical compressed sensing.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008


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