We stand with Ukraine

We stand with Ukraine

Nam H. Nguyen

Orcid: 0000-0002-6741-633X

According to our database¹, Nam H. Nguyen authored at least 29 papers between 2008 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

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

[BibT_eX]

[DOI]

Vijay Ekambaram

,

,

,

,

,

Wesley M. Gifford

,

Jayant Kalagnanam

CoRR, 2024

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

[BibT_eX]

[DOI]

Santosh Palaskar

,

Vijay Ekambaram

,

,

Neelamadhav Gantayat

,

,

,

,

,

Renuka Sindhgatta

,

Prateeti Mohapatra

,

,

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.

[BibT_eX]

[DOI]

Santosh Palaskar

,

Vijay Ekambaram

,

,

Neelamadhav Gantayat

,

,

,

,

,

Renuka Sindhgatta

,

Prateeti Mohapatra

,

,

Jayant Kalagnanam

,

Nandyala Hemachandra

,

Narayan Rangaraj

CoRR, 2023

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

[BibT_eX]

[DOI]

,

,

,

,

,

H. Vincent Poor

CoRR, 2023

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

[BibT_eX]

[DOI]

,

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

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

[BibT_eX]

[DOI]

,

,

Phanwadee Sinthong

,

Jayant Kalagnanam

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Quantum circuit representation of Bayesian networks.

[BibT_eX]

[DOI]

Sima Esfandiarpour Borujeni

,

Saideep Nannapaneni

,

,

Elizabeth C. Behrman

,

James Edward Steck

Expert Syst. Appl., 2021

A Strong Baseline for Vehicle Re-Identification.

[BibT_eX]

[DOI]

,

,

,

Vinh TQ. Nguyen

,

,

CoRR, 2021

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

[BibT_eX]

[DOI]

,

,

Hanh Le T. Nguyen

,

,

CoRR, 2021

A Scale Invariant Measure of Flatness for Deep Network Minima.

[BibT_eX]

[DOI]

Akshay Rangamani

,

,

,

,

Sang (Peter) Chin

,

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Benchmarking Neural Networks For Quantum Computations.

[BibT_eX]

[DOI]

,

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.

[BibT_eX]

[DOI]

,

Elizabeth C. Behrman

,

James Edward Steck

Quantum Mach. Intell., 2020

Experimental pairwise entanglement estimation for an N-qubit system.

[BibT_eX]

[DOI]

Nathan L. Thompson

,

,

Elizabeth C. Behrman

,

James Edward Steck

Quantum Inf. Process., 2020

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

[BibT_eX]

[DOI]

Ramkumar Harikrishnakumar

,

Saideep Nannapaneni

,

,

James Edward Steck

,

Elizabeth C. Behrman

CoRR, 2020

Experimental evaluation of quantum Bayesian networks on IBM QX hardware.

[BibT_eX]

[DOI]

Sima Esfandiarpour Borujeni

,

,

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.

[BibT_eX]

[DOI]

,

,

,

Jayant R. Kalagnanam

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

2019

A Scale Invariant Flatness Measure for Deep Network Minima.

[BibT_eX]

[DOI]

Akshay Rangamani

,

,

,

,

,

CoRR, 2019

2018

When Does Stochastic Gradient Algorithm Work Well?

[BibT_eX]

[DOI]

,

,

,

Jayant R. Kalagnanam

,

Katya Scheinberg

CoRR, 2018

2016

Collaborative Multi-Sensor Classification Via Sparsity-Based Representation.

[BibT_eX]

[DOI]

,

,

Nasser M. Nasrabadi

,

IEEE Trans. Signal Process., 2016

2013

Robust Lasso With Missing and Grossly Corrupted Observations.

[BibT_eX]

[DOI]

,

IEEE Trans. Inf. Theory, 2013

Exact Recoverability From Dense Corrupted Observations via ℓ<sub>1</sub>-Minimization.

[BibT_eX]

[DOI]

,

IEEE Trans. Inf. Theory, 2013

2012

Fast and Efficient Compressive Sensing Using Structurally Random Matrices.

[BibT_eX]

[DOI]

,

,

,

IEEE Trans. Signal Process., 2012

Multi-sensor joint kernel sparse representation for personnel detection.

[BibT_eX]

[DOI]

,

Nasser M. Nasrabadi

,

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Robust Lasso with missing and grossly corrupted observations.

[BibT_eX]

[DOI]

,

Nasser M. Nasrabadi

,

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.

[BibT_eX]

[DOI]

,

Nasser M. Nasrabadi

,

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

2010

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

[BibT_eX]

[DOI]

,

,

CoRR, 2010

2009

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

[BibT_eX]

[DOI]

,

,

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

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

[BibT_eX]

[DOI]

,

,

,

,

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Sparsity adaptive matching pursuit algorithm for practical compressed sensing.

[BibT_eX]

[DOI]

,

,

,

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

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