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Generative Pseudo-Inverse Memory

K. Pham, H. Le, M. Ngo, T. Tran, B. Ho, S. Venkatesh

2022 / International Conference on Learning Representations

EvSys: A Relational Dynamic System for Sparse Irregular Clinical Events

D. Nguyen, P. Nguyen, T. Tran

2022 / pp. xx - xx / AI for Disease Surveillance and Pandemic Intelligence

Learning theory of mind via dynamic traits attribution

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

2022 / Aamas

Learning to transfer role assignment across team sizes

D. Nguyen, P. Nguyen, S. Venkatesh, T. Tran

2022 / Aamas

TRF: Learning Kernels with Tuned Random Features

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

2022 / pp. Accepted on 01/12/2021 / Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)

Sympathy based Reinforcement Learning agents

M. Senadeera, T. G. Karimpanal, S. Rana, S. Gupta

2022 / pp. Accepted on 19/12/2021 / International Conference on Autonomous Agents and Multi-Agent Systems 2022

Verification of Integrity of Deployed Deep Learning Models Using {B}ayesian Optimization

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

2022 / pp. Accepted on 17 Jan 2022 / Knowledge-Based Systems

Real-Time Skill Discovery in Intelligent Virtual Assistants

P. Gopal, S. Gupta, S. Rana, V. Le, T. Nguyen, S. Venkatesh

2022 / pp. Accepted on 18 Jan 2022 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization

H. Tran-The, S. Gupta, S. Rana, S. Venkatesh

2022 / pp. (accepted on 19/01/2022) / 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022)

Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization

T. T. Nguyen, S. Gupta, A. T. Nguyen, S. Venkatesh

2022 / pp. accepted on 21/01/2022 / The Tenth International Conference on Learning Representations (ICLR-22)

MLSmellHound: A Context-Aware Code Analysis Tool

J. Kannan, S. Barnett, A. Simmons, L. Cruz, A. Agarwal

2022 / 2022 IEEE/ACM 44rd International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)

Adaptive experimental optimisation for sample-efficient armour design

S. Ryan, J. Berk, A. Weiss, N. Yatom, M. Vardy, S. Rana, S. Greenhill, S. Venkatesh

2022 / Proceedings of the 32nd International Symposium on Ballistics

High-Order Representation Learning for Multivariate Time Series Forecasting

D. Nguyen, B. Nguyen, P. Nguyen, T. Tran

2021