Publications


Filters:


Results for: Svetha Venkatesh

Attentional multilabel learning over graphs: a message passing approach

K. Do, T. Tran, T. Nguyen, S. Venkatesh

2019 / pp. 1 - 25 / Machine Learning

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

Bayesian functional optimisation with shape prior

P. Vellanki, S. Rana, S. Gupta, D. Leal, A. Sutti, M. Height, S. Venkatesh

2019 / pp. (Accepted 1 Nov 2018) / The AAAI Conference on Artificial Intelligence (AAAI)

Improving Generalization and Stability of Generative Adversarial Networks

H. Thanh-Tung, T. Tran, S. Venkatesh

2019 / pp. (Accepted 21 Dec 2018) / International Conference on Learning Representations (ICLR)

A flexible transfer learning framework for Bayesian optimization with convergence guarantee

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

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

Learning regularity in skeleton trajectories for anomaly detection in videos

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

2019 / IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Graph Transformation Policy Network for Chemical Reaction Prediction

K. Do, T. Tran, S. Venkatesh

2019 / pp. (Accepted 30 Apr 2019) / Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

Learning to Remember More with Less Memorization

H. Le, T. Tran, S. Venkatesh

2019 / pp. (Accepted 21 Dec 2018) / International Conference on Learning Representations (ICLR)

Multi-Target Optimisation via Bayesian Optimisation and Linear Programming

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

2018 / UAI 2018: Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence

Jointly predicting affective and mental health scores using deep neural networks of visual cues on the Web

H. Nguyen, V. Nguyen, T. Nguyen, M. Larsen, B. O'Dea, D. Thanh, T. Le, D. Phung, S. Venkatesh, H. Christensen

2018 / Proceedings of the International Conference on Web Information Systems Engineering (WISE)

Accelerating Experimental Design by Incorporating Experimenter Hunches.

C. Li, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh, A. Sutti, C. de, T. Slezak, M. Height, M. Mohammed, O.

2018 / pp. 257 - 266 / 2018 IEEE International Conference on Data Mining (ICDM)

Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records

P. Nguyen, T. Tran, S. Venkatesh

2018 / pp. 1 - 9 / IEEE International Joint Conference on Neural Networks (IJCNN)

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning

H. Le, T. Tran, S. Venkatesh

2018 / pp. 1637 - 1645 / SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)