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Factor Screening High-Dimensional, Stochastic Combat Simulations

D. Nguyen, C. Li, S. Rana, A. Gill, S. Gupta, S. Venkatesh

2019

vUBM: A Variational Universal Background Model for EEG-Based Person Authentication

H. Tran, D. Tran, W. Ma, P. Nguyen

2019 / pp. 478 - 485 / International Conference on Neural Information Processing

Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations

V. Nguyen, S. Gupta, S. Rana, M. Thai, C. Li, S. Venkatesh

2019 / pp. 1270 - 1275 / 2019 IEEE International Conference on Data Mining (ICDM)

Addressing Practical Challenges of Bayesian Optimisation

T. D. Nguyen

2019

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos

R. Morais, V. Le, T. Tran, B. Saha, M. R. Mansour, S. Venkatesh

2019 / pp. 11996 - 12004 / Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Bayesian Optimization with Discrete Variables

P. Luong, S. Gupta, D. Nguyen, S. Rana, S. Venkatesh

2019 / pp. 473 - 484 / Australasian Joint Conference on Artificial Intelligence

Learning to Remember More with Less Memorization

H. Le, T. Tran, S. Venkatesh

2019 / ICLR 2019: Proceedings of the 7th International Conference on Learning Representations

Neural Stored-Program Memory

H. Le, T. Tran, S. Venkatesh

2019 / Proceedings of the International Conference on Learning Representations (ICLR)

Explaining Black-Box Machine Learning Models Using Interpretable Surrogates

D. Kuttichira, S. Gupta, R. Santu, C. Li, S. Venkatesh

2019 / pp. (to appear) / Pacific Rim International Conference on Artificial Intelligence

Detection of Compromised Models Using Bayesian Optimization

D. Kuttichira, S. Gupta, D. Nguyen, S. Rana, S. Venkatesh

2019 / pp. 485 - 496 / Australasian Joint Conference on Artificial Intelligence

Bayesian Optimisation for Objective Functions with Varying Smoothness

A. A. Kumar, S. Rana, C. Li, S. Gupta, A. Shilton, S. Venkatesh

2019 / pp. 460 - 472 / Australasian Joint Conference on Artificial Intelligence

Nonparametric Online Machine Learning with Kernels

K. N. K. Dang

2019

A Flexible Transfer Learning Framework for Bayesian Optimization with Convergence Guarantee

T. T. Joy, S. Rana, S. Gupta, S. Venkatesh

2019 / Vol. 115, pp. 656 - 672 / Expert Systems with Applications

Toward Clinical Digital Phenotyping: A Timely Opportunity to Consider Purpose, Quality, and Safety

K. Huckvale, S. Venkatesh, H. Christensen

2019 / Vol. 2, pp. 1 - 11 / NPJ Digital Medicine

Examining Conductivity, Current Density, and Sizings Applied to Carbon Fibers during Manufacture and Their Effect on Fiber-to-Matrix Adhesion in Epoxy Polymers

A. Hendlmeier, F. Stojcevski, R. Alexander, S. Gupta, L. C. Henderson

2019 / Vol. 179, pp. 107494 / Composites Part B: Engineering

Bayesian Optimization with Unknown Search Space

H. Ha, S. Rana, S. Gupta, T. Nguyen, S. Venkatesh, others

2019 / pp. 11772 - 11781 / Advances in Neural Information Processing Systems

Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

D. Gong, L. Liu, V. Le, B. Saha, M. R. Mansour, S. Venkatesh, A. van den Hengel

2019 / The IEEE International Conference on Computer Vision (ICCV)