N. Q. Phong, G. Sunil, V. Svetha, H. L. B. Kian, J. Patrick
2024 / pp. (accepted on 26 Sep. 2024) / Conference on Neural Information Processing Systems (NeurIPS)
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior
G. Ngo, D. Nguyen, S. Gupta
2024 / pp. (accepted on 05 Sep. 2024) / Asian Conference on Machine Learning (ACML)
Generating Realistic Tabular Data with Large Language Model
D. Nguyen, S. Gupta, K. Do, T. Nguyen, S. Venkatesh
2024 / pp. (accepted on 06 Sep. 2024) / International Conference on Data Mining (ICDM)
Tunability of Sb2Se3 phase change material for multi-domain optoelectronics
K. Murali, L. Thekkekara, A. Rahman, S. Sen, V. Shvedov, Y. Izdebskaya, C. Zou, S. A. Tawfik, I. Shadrivov, S. Sriram, others
2024 / Vol. 40, pp. 102338 / Applied Materials Today
Broken-gap energy alignment in two-dimensional van der Waals heterostructures for multifunctional tunnel diodes
P. Taylor, S. A. Tawfik, M. J. S. Spencer
2024 / Vol. 26, pp. 20993 - 21000 / Physical Chemistry Chemical Physics
Scalable Variational Causal Discovery Unconstrained by Acyclicity
N. Hoang, B. Duong, T. Nguyen
2024 / pp. Accepted on 4/7/2024 / European Conference on Aritificial Intelligence (ECAI)
Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows
N. Hoang, B. Duong, T. Nguyen
2024 / pp. Accepted on 4/7/2024 / European Conference on Aritificial Intelligence (ECAI)
Large Language Model Prompting With Episodic Memory
D. Do, H. Le, Q. Tran, S. Venkatesh
2024 / pp. Accepted on 05/07/2024 / European Conference on Artificial Intelligence (ECAI)
A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning
K. Purohit, S. K. Das, S. Bhattacharya, S. Rana
2024 / pp. Accepted on 05/07/2024 / European Conference on Artificial Intelligence (ECAI)
Revisiting the Dataset Bias Problem from a Statistical Perspective
K. Do, D. Nguyen, H. Le, T. M. Le, D. Nguyen, H. Harikumar, T. Tran, S. Rana, V. Svetha
2024 / pp. Accepted on 05/07/2024 / European Conference on Artificial Intelligence (ECAI)
Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties
A. A. Kumar, S. Alistair, G. Sunil, R. Santu, G. Stewart, V. Svetha
2024 / pp. Accepted on 27/05/2024 / Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)
Improving Diversity in Black-box Few-shot Knowledge Distillation
T. Vo, N. Dang, D. Kien, G. Sunil
2024 / pp. Accepted on 27/05/2024 / Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)
PINN-BO: A Black-box Optimization Algorithm using Physics-Informed Neural Networks
D. Phan-Trong, H. Tran, A. Shilton, S. Gupta
2024 / pp. Accepted on 27/05/2024 / Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)
Variable-Agnostic Causal Exploration for Reinforcement Learning
H. Nguyen, H. Le, S. Venkatesh
2024 / pp. Accepted on 27/05/2024 / Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD)
EMOTE: An Explainable architecture for Modelling the Other Through Empathy
M. Senadeera, T. G. Karimpanal, S. Jacobs, S. Gupta, S. Rana
2024 / pp. (accepted on 17th April 2024) / International Joint Conference on Artificial Intelligence (IJCAI)
Class-incremental learning with causal relational replay
T. Nguyen, D. Kieu, B. Duong, T. Kieu, K. Do, T. Nguyen, B. Le
2024 / pp. 123901 / Expert Systems with Applications
Normalizing flows for conditional independence testing
B. Duong, T. Nguyen
2024 / Vol. 66, pp. 357 - 380 / Knowledge and Information Systems
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach
D. Nguyen, H. Le, K. Do, S. Venkatesh, T. Tran
2024 / pp. Accepted on 17/04/2024 / International Joint Conference on Artificial Intelligence (IJCAI)
Co-design of a personalised digital intervention to improve vegetable intake in adults living in Australian rural communities
K. M. Livingstone, J. C. Rawstorn, L. Alston, S. R. Partridge, A. Bastian, K. Dullaghan, S. A. McNaughton, G. A. Hendrie, L. C. Blekkenhorst, R. Maddison, Y. Zhang, S. Barnett, J. C. Mathers, S. L. Godrich
2024 / Vol. 24, pp. 1 - 14 / BMC Public Health
Determining the feasibility of a codesigned and personalised intervention (Veg4Me) to improve vegetable intake in young adults living in rural Australian communities: protocol for a randomised controlled trial
L. Katherine, R. Jonathan, P. Stephanie, Z. Yuxin, O. Eric, G. Stephanie, M. Sarah, H. Gilly, D. Kate, A. Gavin, B. Lauren, M. Ralph, B. Scott, M. John, A. Laura
