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Causal Inference via Style Transfer for Out-of-distribution Generalisation

T. Nguyen, K. Do, D. T. Nguyen, B. Duong, T. Nguyen

2023 / ACM International Conference on Knowledge Discovery and Data Mining (KDD)

Heteroscedastic Causal Structure Learning

B. Duong, T. Nguyen

2023 / the 26th European Conference on Artificial Intelligence (ECAI)

TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems

W. Zong, Y. Chow, W. Susilo, K. Do, S. Venkatesh

2023 / pp. 1667 - 1683 / 2023 IEEE Symposium on Security and Privacy (SP)

Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection.

R. Morais, V. Le, C. Morgan, A. J. Spittle, N. Badawi, J. Valentine, E. Hurrion, P. Dawson, T. Tran, S. Venkatesh

2023 / IEEE journal of biomedical and health informatics

Social motivation for modelling other agents under partial observability in decentralised training

D. Nguyen, H. Le, K. Do, S. Venkatesh, T. Tran

2023 / the 32nd International Joint Conference on Artificial Intelligence (IJCAI)

Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction

H. Tran, V. Le, S. Venkatesh, T. Tran

2023 / International Conference on Computer Vision (ICCV)

Comparative Assessment of Docking Programs for Docking and Virtual Screening of Ribosomal Oxazolidinone Antibacterial Agents

M. E. Buckley, A. R. Ndukwe, P. C. Nair, S. Rana, K. E. Fairfull-Smith, N. S. Gandhi

2023 / Vol. 12, pp. 463 / Antibiotics

The application of machine learning in micrometeoroid and orbital debris impact protection and risk assessment for spacecraft

S. Ryan, N. M. Sushma, H. Le, A. K. AV, J. Berk, T. Nguyen, S. Rana, S. Kandanaarachchi, S. Venkatesh

2023 / pp. 104727 / International Journal of Impact Engineering

Protocol for a bandit-based response adaptive trial to evaluate the effectiveness of brief self-guided digital interventions for reducing psychological distress in university students: the Vibe Up study

K. Huckvale, L. Hoon, E. Stech, J. M. Newby, W. Y. Zheng, J. Han, R. Vasa, S. Gupta, S. Barnett, M. Senadeera, others

2023 / Vol. 13, pp. e066249 / BMJ open

Machine learning for predicting the outcome of terminal ballistics events

S. Ryan, N. M. Sushma, A. K. AV, J. Berk, T. Hashem, S. Rana, S. Venkatesh

2023 / Defence Technology

Guiding Visual Question Answering with Attention Priors

T. M. Le, V. Le, S. Gupta, S. Venkatesh, T. Tran

2023 / pp. 4370 - 4379 / 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Continual Learning with Dependency Preserving Hypernetworks

D. S. Chandra, S. Varshney, P. Srijith, S. Gupta

2023 / pp. 2338 - 2347 / 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Machine learning-based discovery of vibrationally stable materials

S. A. Tawfik, M. Rashid, S. Gupta, S. P. Russo, T. R. Walsh, S. Venkatesh

2023 / Vol. 9, pp. 5 / npj Computational Materials

On instance-dependent bounds for offline reinforcement learning with linear function approximation

T. Nguyen-Tang, M. Yin, S. Gupta, S. Venkatesh, R. Arora

2023 / Vol. 37, pp. 9310 - 9318 / Proceedings of the AAAI Conference on Artificial Intelligence

Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space

A. Shilton, S. Gupta, S. Rana, S. Venkatesh

2023 / International Conference on Machine Learning (ICML)

Memory-Augmented Theory of Mind Network

D. Nguyen, P. Nguyen, H. Le, K. Do, S. Venkatesh, T. Tran

2023 / Proceedings of AAAI Conference on Artificial Intelligence (AAAI)

Improving Out-of-distribution Generalization with Indirection Representations

K. Pham, H. Le, M. Ngo, T. Tran

2023 / International Conference on Learning Representations (ICLR)