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Results for: Svetha Venkatesh

High Dimensional Level Set Estimation with Bayesian Neural Network

H. Ha, S. Gupta, S. Rana, S. Venkatesh

2021 / pp. To appear / Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence

Sparse Spectrum Gaussian Process for Bayesian Optimization

A. Yang, C. Li, S. Rana, S. Gupta, S. Venkatesh

2021 / pp. To appear / Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)

Distributional Reinforcement Learning via Moment Matching

T. Nguyen, S. Gupta, S. Venkatesh

2021 / pp. accepted on 02/10/2020 / The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI)

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization

K. Do, T. Tran, S. Venkatesh

2021 / AAAI

Self-Attentive Associative Memory

H. Le, T. Tran, S. Venkatesh

2020 / pp. 5682 - 5691 / Proceedings of the 37th International Conference on Machine Learning (ICML)

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning

T. Karimpanal, S. Rana, S. Gupta, T. Tran, S. Venkatesh

2020 / Proceedings of the International Joint Conference on Neural Networks (IJCNN)

Learning to Abstract and Predict Human Actions

R. Morais, V. Le, T. Tran, S. Venkatesh

2020 / Proceedings of the The British Machine Vision Conference (BMVC)

Dynamic Language Binding in Relational Visual Reasoning

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

2020 / 39th International Joint Conference on Artificial Intelligence (IJCAI)

Neural Reasoning, Fast and Slow, for Video Question Answering

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

2020 / International Joint Conference on Neural Networks (IJCNN)

Hierarchical Conditional Relation Networks for Video Question Answering

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

2020 / Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Level Set Estimation with Search Space Warping

M. Senadeera, S. Rana, S. Gupta, S. Venkatesh

2020 / pp. 827 - 839 / Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

DeepTRIAGE: Interpretable and Individualised Biomarker Scores Using Attention Mechanism for the Classification of Breast Cancer Sub-Types

A. Beykikhoshk, T. P. Quinn, S. C. Lee, T. Tran, S. Venkatesh

2020 / Vol. 13, pp. 1 - 10 / BMC medical genomics

Factor Screening Using Bayesian Active Learning and Gaussian Process Meta-Modelling

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

2020 / pp. in press / Systems Engineering Test and Evaluation Conference

HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network

P. Nguyen, T. Tran, S. Gupta, S. Rana, H. Dam, S. Venkatesh

2020 / NeurIPS 2020 Workshop on Meta-Learning

Accelerated Bayesian Optimisation through Weight-Prior Tuning

A. Shilton, S. Gupta, S. Rana, P. Vellanki, C. Li, S. Venkatesh, L. Park, A. Sutti, D. Rubin, T. Dorin, O.

2020 / pp. 635 - 645 / Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)

Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization

S. Gupta, S. Rana, S. Venkatesh, O.

2020 / Vol. 34, pp. 2425 - 2432 / Proceedings of the AAAI Conference on Artificial Intelligence