JabRef references

Ryan S, Berk J, Rana S, McDonald B and Venkatesh S (2022), "A Bayesian optimisation methodology for the inverse derivation of viscoplasticity model constants in high strain-rate simulations", Defence Technology. Vol. 18(9), pp. 1563-1577.

[Abstract] [BibTeX] [DOI]

Abstract: We present an inverse methodology for deriving viscoplasticity constitutive model parameters for use in explicit finite element simulations of dynamic processes using functional experiments, i.e., those which provide value beyond that of constitutive model development. The developed methodology utilises Bayesian optimisation to minimise the error between experimental measurements and numerical simulations performed in LS-DYNA. We demonstrate the optimisation methodology using high hardness armour steels across three types of experiments that induce a wide range of loading conditions: ballistic penetration, rod-on-anvil, and near-field blast deformation. By utilising such a broad range of conditions for the optimisation, the resulting constitutive model parameters are generalised, i.e., applicable across the range of loading conditions encompassed the by those experiments (e.g., stress states, plastic strain magnitudes, strain rates, etc.). Model constants identified using this methodology are demonstrated to provide a generalisable model with superior predictive accuracy than those derived from conventional mechanical characterisation experiments or optimised from a single experimental condition.

BibTeX:

@article{ryanDefTech22,
  author = {Shannon Ryan and Julian Berk and Santu Rana and Brodie McDonald and Svetha Venkatesh},
  title = {A Bayesian optimisation methodology for the inverse derivation of viscoplasticity model constants in high strain-rate simulations},
  journal = {Defence Technology},
  year = {2022},
  volume = {18},
  number = {9},
  pages = {1563--1577},
  note = {(Q1 journal)},
  doi = {10.1016/j.dt.2021.10.013}
}

Nguyen D, Nguyen P, Venkatesh S and Tran T (2022), "Learning to Transfer Role Assignment Across Team Sizes", In The 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS). , pp. 963-971.

BibTeX:

@inproceedings{dung2022roleaamas,
  author = {Nguyen, Dung and Nguyen, Phuoc and Venkatesh, Svetha and Tran, Truyen},
  title = {Learning to Transfer Role Assignment Across Team Sizes},
  booktitle = {The 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
  year = {2022},
  pages = {963--971},
  note = {(A* conference)}
}

Nguyen D, Nguyen P, Le H, Do K, Venkatesh S and Tran T (2022), "Learning Theory of Mind via Dynamic Traits Attribution", In The 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS). , pp. 954-962.

BibTeX:

@inproceedings{dung2022traitsaamas,
  author = {Nguyen, Dung and Nguyen, Phuoc and Le, Hung and Do, Kien and Venkatesh, Svetha and Tran, Truyen},
  title = {Learning Theory of Mind via Dynamic Traits Attribution},
  booktitle = {The 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
  year = {2022},
  pages = {954--962},
  note = {(A* conference)}
}

Tran-The H, Gupta S, Rana S and Venkatesh S (2022), "Regret Bound for Expected Improvement Algorithms in Gaussian Process Bandit Optimization", In International Conference on Artificial Intelligence and Statistics (AISTATS). Vol. PMLR: Volume 151, pp. 1-23.

BibTeX:

@inproceedings{hung2022aistats,
  author = {Tran-The, Hung and Gupta, Sunil and Rana, Santu and Venkatesh, Svetha},
  title = {Regret Bound for Expected Improvement Algorithms in Gaussian Process Bandit Optimization},
  booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
  year = {2022},
  volume = {PMLR: Volume 151},
  pages = {1--23},
  note = {(A conference)}
}

Gopal P, Gupta S, Rana S, Le V, Nguyen T and Venkatesh S (2022), "Real-Time Skill Discovery in Intelligent Virtual Assistants", In In proceedings of The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). , pp. 315-327.

BibTeX:

@inproceedings{gopal2022pakdd,
  author = {Gopal, Preeti and Gupta, Sunil and Rana, Santu and Le, Vuong and Nguyen, Trong and Venkatesh, Svetha},
  title = {Real-Time Skill Discovery in Intelligent Virtual Assistants},
  booktitle = {In proceedings of The 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)},
  year = {2022},
  pages = {315--327},
  note = {(A conference)}
}

Nguyen-Tang T, Gupta S, Nguyen AT and Venkatesh S (2022), "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", In International Conference on Learning Representations (ICLR). , pp. 1-25.

BibTeX:

@inproceedings{nguyen-tang2022offline,
  author = {Thanh Nguyen-Tang and Sunil Gupta and A. Tuan Nguyen and Svetha Venkatesh},
  title = {Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  pages = {1--25},
  note = {(A* conference)},
  url = {https://openreview.net/forum?id=sPIFuucA3F}
}

Kuttichira DP, Gupta S, Nguyen D, Rana S and Venkatesh S (2022), "Verification of integrity of deployed deep learning models using Bayesian optimization", Knowledge-Based Systems. Vol. 241, pp. 108238. Elsevier.

BibTeX:

@article{kuttichira2022verification,
  author = {Kuttichira, Deepthi Praveenlal and Gupta, Sunil and Nguyen, Dang and Rana, Santu and Venkatesh, Svetha},
  title = {Verification of integrity of deployed deep learning models using Bayesian optimization},
  journal = {Knowledge-Based Systems},
  publisher = {Elsevier},
  year = {2022},
  volume = {241},
  pages = {108238},
  note = {(Q1 journal)}
}

Le H and Venkatesh S (2022), "Neurocoder: General-Purpose Computation Using Stored Neural Programs", In International Conference on Machine Learning (ICML). Vol. 162, pp. 12204-12221.

BibTeX:

@inproceedings{hungle2022neurocoder,
  author = {Hung Le and Svetha Venkatesh},
  title = {Neurocoder: General-Purpose Computation Using Stored Neural Programs},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  volume = {162},
  pages = {12204--12221},
  note = {(A* conference)}
}

Ryan S, Berk J, Weiss A, Yatom N, Vardy M, Rana S, Greenhill S and Venkatesh S (2022), "Adaptive experimental optimisation for sample-efficient armour design", In International Symposium on Ballistics. Vol. 18, pp. 1563-1577.

BibTeX:

@inproceedings{ryan2022isb,
  author = {Shannon Ryan and Julian Berk and Alon Weiss and Natav Yatom and Micha Vardy and Santu Rana and Stewart Greenhill and Svetha Venkatesh},
  title = {Adaptive experimental optimisation for sample-efficient armour design},
  booktitle = {International Symposium on Ballistics},
  year = {2022},
  volume = {18},
  pages = {1563--1577}
}

Shilton A, Rana S, Gupta S and Venkatesh S (2022), "TRF: Learning Kernels with Tuned Random Features", In Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI). , pp. 8286-8294.

BibTeX:

@inproceedings{Shilton_etal_TRF22,
  author = {Shilton, Alistair and Rana, Santu and Gupta, Sunil and Venkatesh, Svetha},
  title = {TRF: Learning Kernels with Tuned Random Features},
  booktitle = {Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  pages = {8286--8294},
  note = {(A* conference)}
}

Pham K, Le H, Ngo M, Tran T, Ho B and Venkatesh S (2022), "Generative Pseudo-Inverse Memory", In International Conference on Learning Representations (ICLR). , pp. 1-18.

BibTeX:

@inproceedings{pham2022generative,
  author = {Pham, Kha and Le, Hung and Ngo, Man and Tran, Truyen and Ho, Bao and Venkatesh, Svetha},
  title = {Generative Pseudo-Inverse Memory},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  pages = {1--18},
  note = {(A* conference)}
}

Deane K, Yang Y, Licavoli J, Nguyen V, Rana S, Gupta S, Venkatesh S and Sanders P (2022), "Utilization of Bayesian Optimization and KWN Modeling for Increased Efficiency of Al-Sc Precipitation Strengthening", Metals. Vol. 12(6), pp. 975. Multidisciplinary Digital Publishing Institute.

BibTeX:

@article{deane2022utilization,
  author = {Deane, Kyle and Yang, Yang and Licavoli, Joseph and Nguyen, Vu and Rana, Santu and Gupta, Sunil and Venkatesh, Svetha and Sanders, Paul},
  title = {Utilization of Bayesian Optimization and KWN Modeling for Increased Efficiency of Al-Sc Precipitation Strengthening},
  journal = {Metals},
  publisher = {Multidisciplinary Digital Publishing Institute},
  year = {2022},
  volume = {12},
  number = {6},
  pages = {975},
  note = {(Q1 journal)}
}

Patil P, Gupta S, Rana S and Venkatesh S (2022), "Video Restoration Framework and its Meta-adaptations to Data-poor Conditions", In Proceedings of the European Conference on Computer Vision (ECCV). , pp. 143-160.

BibTeX:

@inproceedings{2022metarestoration,
  author = {Patil, Prashant and Gupta, Sunil and Rana, Santu and Venkatesh, Svetha},
  title = {Video Restoration Framework and its Meta-adaptations to Data-poor Conditions},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  year = {2022},
  pages = {143--160},
  note = {(A* conference)}
}

Nguyen D, Gupta S, Do K and Venkatesh S (2022), "Black-box Few-shot Knowledge Distillation", In Proceedings of the European Conference on Computer Vision (ECCV). , pp. 196-211.

BibTeX:

@inproceedings{nguyen2022fskd,
  author = {Nguyen, Dang and Gupta, Sunil and Do, Kien and Venkatesh, Svetha},
  title = {Black-box Few-shot Knowledge Distillation},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  year = {2022},
  pages = {196--211},
  note = {(A* conference)}
}

Do K, Harikumar H, Le H, Nguyen D, Tran T, Rana S, Nguyen D, Susilo W and Venkatesh S (2022), "Towards Effective and Robust Neural Trojan Defenses via Input Filtering", In Proceedings of the European Conference on Computer Vision (ECCV). , pp. 283-300.

BibTeX:

@inproceedings{do2022towards,
  author = {Do, Kien and Harikumar, Haripriya and Le, Hung and Nguyen, Dung and Tran, Truyen and Rana, Santu and Nguyen, Dang and Susilo, Willy and Venkatesh, Svetha},
  title = {Towards Effective and Robust Neural Trojan Defenses via Input Filtering},
  booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
  year = {2022},
  pages = {283--300},
  note = {(A* conference)}
}

Harikumar H, Rana S, Gupta S, Nguyen T, Kaimal R and Venkatesh S (2022), "Prescriptive analytics with differential privacy", International Journal of Data Science and Analytics. Vol. 13(2), pp. 123-138.

BibTeX:

@article{harikumar2022prescriptive,
  author = {Harikumar, Haripriya and Rana, Santu and Gupta, Sunil and Nguyen, Thin and Kaimal, Ramachandra and Venkatesh, Svetha},
  title = {Prescriptive analytics with differential privacy},
  journal = {International Journal of Data Science and Analytics},
  year = {2022},
  volume = {13},
  number = {2},
  pages = {123--138},
  note = {(Q2 journal)}
}

Le H, Abdolshah M, George T, Do K, Nguyen D and Venkatesh S (2022), "Episodic policy gradient training", In AAAI Conference on Artificial Intelligence (AAAI). Vol. 36(7), pp. 7317-7325.

BibTeX:

@inproceedings{le2022episodic,
  author = {Le, Hung and Abdolshah, Majid and George, Thommen and Do, Kien and Nguyen, Dung and Venkatesh, Svetha},
  title = {Episodic policy gradient training},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  volume = {36},
  number = {7},
  pages = {7317--7325},
  note = {(A* conference)}
}

Patil P, Gupta S, Rana S and Venkatesh S (2022), "Dual-frame Spatio-temporal Feature Modulation for Video Enhancement", Pattern Recognition. , pp. 108822.

BibTeX:

@article{patil2022dual,
  author = {Patil, Prashant and Gupta, Sunil and Rana, Santu and Venkatesh, Svetha},
  title = {Dual-frame Spatio-temporal Feature Modulation for Video Enhancement},
  journal = {Pattern Recognition},
  year = {2022},
  pages = {108822},
  note = {(Q1 journal)}
}

Tran H, Le V, Venkatesh S and Tran T (2022), "Persistent-Transient Duality in Human Behavior Modeling", In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Workshop). , pp. 2528-2531.

BibTeX:

@inproceedings{tran2022persistent,
  author = {Tran, Hung and Le, Vuong and Venkatesh, Svetha and Tran, Truyen},
  title = {Persistent-Transient Duality in Human Behavior Modeling},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Workshop)},
  year = {2022},
  pages = {2528--2531},
  note = {(Workshop)}
}

Do K, Le H, Nguyen D, Nguyen D, Harikumar H, Tran T, Rana S and Venkatesh S (2022), "Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation", In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS). , pp. 10055-10067.

BibTeX:

@inproceedings{kien2022dfkd,
  author = {Do, Kien and Le, Hung and Nguyen, Dung and Nguyen, Dang and Harikumar, Haripriya and Tran, Truyen and Rana, Santu and Venkatesh, Svetha},
  title = {Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation},
  booktitle = {Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  pages = {10055--10067},
  note = {(A* conference)}
}

Arun Kumar AV, Rana S, Shilton A and Venkatesh S (2022), "Human-AI Collaborative Bayesian Optimisation", In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS). , pp. 16233-16245.

BibTeX:

@inproceedings{arun2022collabbo,
  author = {A V, Arun Kumar and Rana, Santu and Shilton, Alistair and Venkatesh, Svetha},
  title = {Human-AI Collaborative Bayesian Optimisation},
  booktitle = {Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  pages = {16233--16245},
  note = {(A* conference)}
}

Tran-The H, Gupta S, Rana S, Truong T, Tran-Thanh L and Venkatesh S (2022), "Expected Improvement for Contextual Bandits", In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS). , pp. 22725-22738.

BibTeX:

@inproceedings{hung2022neurips,
  author = {Tran-The, Hung and Gupta, Sunil and Rana, Santu and Truong, Tuan and Tran-Thanh, Long and Venkatesh, Svetha},
  title = {Expected Improvement for Contextual Bandits},
  booktitle = {Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  pages = {22725--22738},
  note = {(A* conference)}
}

Greenhill S, Abdolshah M, Le V, Gupta S and Venkatesh S (2022), "Semantic Control of Generative Musical Attributes", In The 23rd International Society for Music Information Retrieval Conference. , pp. 817-824.

BibTeX:

@inproceedings{greenhill2022semantic,
  author = {Greenhill, Stewart and Abdolshah, Majid and Le, Vuong and Gupta, Sunil and Venkatesh, Svetha},
  title = {Semantic Control of Generative Musical Attributes},
  booktitle = {The 23rd International Society for Music Information Retrieval Conference},
  year = {2022},
  pages = {817--824}
}

Tawfik SA, Nguyen P, Tran T, Walsh TR and Venkatesh S (2022), "Machine Learning-Aided Exploration of Ultrahard Materials", The Journal of Physical Chemistry C. Vol. 126(37), pp. 15952-15961.

[BibTeX] [DOI] [URL]

BibTeX:

@article{doi:10.1021/acs.jpcc.2c03926,
  author = {Tawfik, Sherif Abdulkader and Nguyen, Phuoc and Tran, Truyen and Walsh, Tiffany R. and Venkatesh, Svetha},
  title = {Machine Learning-Aided Exploration of Ultrahard Materials},
  journal = {The Journal of Physical Chemistry C},
  year = {2022},
  volume = {126},
  number = {37},
  pages = {15952-15961},
  url = { 

    

        https://doi.org/10.1021/acs.jpcc.2c03926

    

    



},
  doi = {10.1021/acs.jpcc.2c03926}
}

Semage BL, George Karimpanal T, Rana S and Venkatesh S (2022), "Uncertainty Aware System Identification with Universal Policies", In 2022 26th International Conference on Pattern Recognition (ICPR). , pp. 2321-2327.

BibTeX:

@inproceedings{9956103,
  author = {Semage, Buddhika Laknath and George Karimpanal, Thommen and Rana, Santu and Venkatesh, Svetha},
  title = {Uncertainty Aware System Identification with Universal Policies},
  booktitle = {2022 26th International Conference on Pattern Recognition (ICPR)},
  year = {2022},
  pages = {2321-2327},
  doi = {10.1109/ICPR56361.2022.9956103}
}

Semage BL, George Karimpanal T, Rana S and Venkatesh S (2022), "Fast Model-based Policy Search for Universal Policy Networks", In 2022 26th International Conference on Pattern Recognition (ICPR). , pp. 2314-2320.

BibTeX:

@inproceedings{9956692,
  author = {Semage, Buddhika Laknath and George Karimpanal, Thommen and Rana, Santu and Venkatesh, Svetha},
  title = {Fast Model-based Policy Search for Universal Policy Networks},
  booktitle = {2022 26th International Conference on Pattern Recognition (ICPR)},
  year = {2022},
  pages = {2314-2320},
  doi = {10.1109/ICPR56361.2022.9956692}
}