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Results for: Svetha Venkatesh

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)

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)

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

Graph Memory Networks for Molecular Activity Prediction

T. Pham, T. Tran, S. Venkatesh

2018 / pp. 639 - 644 / International Conference on Pattern Recognition (ICPR)

Selecting Optimal Source for Transfer Learning in Bayesian Optimisation

A. Ramachandran, S. Gupta, R. Santu, S. Venkatesh

2018 / pp. 42 - 56 / The 15th Pacific Rim International Conference on Artificial Intelligence

Discovering topic structures of a temporally evolving document corpus

A. Beykikhoshk, O. Arandjelovic, D. Phung, S. Venkatesh

2018 / Vol. 55, pp. 599 - 632 / Knowledge and Information Systems

Prescriptive Analytics through Constrained Bayesian Optimization

H. Harikumar, S. Rana, S. Gupta, T. Nguyen, R. Kaimal, S. Venkatesh

2018 / pp. 335 - 347 / Pacific-Asia Conference on Knowledge Discovery and Data Mining

Learning Graph Representation via Frequent Subgraphs

D. Nguyen, W. Luo, T. Nguyen, S. Venkatesh, D. Phung

2018 / pp. 306 - 314 / Proceedings of the 2018 SIAM International Conference on Data Mining (SDM)

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding

D. Nguyen, W. Luo, S. Venkatesh, D. Phung

2018 / Vol. 42, pp. 94 / Journal of Medical Systems

Energy-Based Anomaly Detection for Mixed Data

K. Do, T. Tran, S. Venkatesh

2018 / Vol. 57, pp. 413 - 435 / Knowledge and Information Systems

Filtering Bayesian optimization approach in weakly specified search space

V. Nguyen, S. Gupta, S. Rana, C. Li, S. Venkatesh

2018 / pp. 1 - 29 / Knowledge and Information Systems