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High Dimensional Level Set Estimation with Bayesian Neural Network

Dec 17, 2020
Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh

* Accepted at AAAI'2021 

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

Dec 03, 2020
Kien Do, Truyen Tran, Svetha Venkatesh

* Accepted to AAAI 2021 

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Logically Consistent Loss for Visual Question Answering

Nov 19, 2020
Anh-Cat Le-Ngo, Truyen Tran, Santu Rana, Sunil Gupta, Svetha Venkatesh

* 10 pages, 6 figure, 9 tables 

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Hierarchical Conditional Relation Networks for Multimodal Video Question Answering

Oct 18, 2020
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

* 18 pages. arXiv admin note: substantial text overlap with arXiv:2002.10698 

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Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs

Sep 24, 2020
Hung Le, Svetha Venkatesh

* 22 pages, preprint 

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Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning

Sep 16, 2020
Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran

* Accepted for publication at ACML 2020 

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Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces

Sep 09, 2020
Hung Tran-The, Sunil Gupta, Santu Rana, Huong Ha, Svetha Venkatesh

* The paper submitted to NeurIPS 2020 

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Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition

Sep 08, 2020
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh


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Learning to Abstract and Predict Human Actions

Aug 20, 2020
Romero Morais, Vuong Le, Truyen Tran, Svetha Venkatesh

* Accepted for publication in BMVC'20 

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Distributional Reinforcement Learning with Maximum Mean Discrepancy

Jul 24, 2020
Thanh Tang Nguyen, Sunil Gupta, Svetha Venkatesh

* 21 pages, 6 figures, 5 tables 

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Bayesian Optimization with Missing Inputs

Jun 19, 2020
Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh

* To appear at ECML-PKDD 2020 conference 

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DeepCoDA: personalized interpretability for compositional health data

Jun 16, 2020
Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh

* To appear at ICML 2020 

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Scalable Backdoor Detection in Neural Networks

Jun 10, 2020
Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh


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Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation

Jun 08, 2020
Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh

* Preprint version. The final version has been accepted to appear at IJCAI20 

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DeepCoDA: personalized interpretability for compositional health

Jun 02, 2020
Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh

* To appear at ICML 2020 

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HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network

May 18, 2020
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh


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Dynamic Language Binding in Relational Visual Reasoning

Apr 30, 2020
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

* Early version accepted by IJCAI20 

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Incorporating Expert Prior in Bayesian Optimisation via Space Warping

Mar 27, 2020
Anil Ramachandran, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

* Knowledge-Based Systems (2020) 105663 
* 21 Pages, 8 figures. To be published in Elsevier 

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Hierarchical Conditional Relation Networks for Video Question Answering

Mar 17, 2020
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

* CVPR 2020, Oral 
* Check out our code on GitHub at https://github.com/thaolmk54/hcrn-videoqa 

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Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling

Feb 26, 2020
Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh


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Self-Attentive Associative Memory

Feb 11, 2020
Hung Le, Truyen Tran, Svetha Venkatesh

* 12 pages 

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Distributionally Robust Bayesian Quadrature Optimization

Jan 19, 2020
Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh

* AISTATS2020 
* AISTATS2020 

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Bayesian Optimization for Categorical and Category-Specific Continuous Inputs

Nov 28, 2019
Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh

* To appear at AAAI 2020 

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Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization

Nov 27, 2019
Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh

* Our accepted paper to Conference on Artificial Intelligence (AAAI) 2020 

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Bayesian Optimization with Unknown Search Space

Oct 29, 2019
Huong Ha, Santu Rana, Sunil Gupta, Thanh Nguyen, Hung Tran-The, Svetha Venkatesh

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 
* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning

Sep 11, 2019
Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh

* 18 pages, 8 figures 

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Cost-aware Multi-objective Bayesian optimisation

Sep 09, 2019
Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh


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Accelerating Experimental Design by Incorporating Experimenter Hunches

Jul 22, 2019
Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson

* IEEE International Conference on Data Mining (ICDM) 2018 

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