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Le H, Tran Q, Nguyen D, Do K, Mittal S, Ogueji K and Venkatesh S (2025), "Multi-Reference Preference Optimization for Large Language Models", In AAAI Conference on Artificial Intelligence (AAAI). , pp. 24375-24383.
BibTeX:
@inproceedings{le2025multi,
  author = {Le, Hung and Tran, Quan and Nguyen, Dung and Do, Kien and Mittal, Saloni and Ogueji, Kelechi and Venkatesh, Svetha},
  title = {Multi-Reference Preference Optimization for Large Language Models},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  pages = {24375--24383},
  note = {(A* conference)}
}
Le H, Do K, Nguyen D, Gupta S and Venkatesh S (2025), "Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning", In International Conference on Learning Representations (ICLR). , pp. (accepted on Jan 23, 2025).
BibTeX:
@inproceedings{le2025stable,
  author = {Le, Hung and Do, Kien and Nguyen, Dung and Gupta, Sunil and Venkatesh, Svetha},
  title = {Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  pages = {(accepted on Jan 23, 2025)},
  note = {(A* conference)}
}
Ghosh B, Harikumar H, Venkatesh S and Rana S (2025), "Targeted Manifold Manipulation Against Adversarial Attacks", In IEEE Conference on Secure and Trustworthy Machine Learning (SaTML). , pp. 427-438.
BibTeX:
@inproceedings{10992546,
  author = {Ghosh, Banibrata and Harikumar, Haripriya and Venkatesh, Svetha and Rana, Santu},
  title = {Targeted Manifold Manipulation Against Adversarial Attacks},
  booktitle = {IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)},
  year = {2025},
  pages = {427--438}
}
Arun Kumar AV, Shilton A, Gupta S, Ryan S, Abdolshah M, Le H, Rana S, Berk J, Rashid M and Venkatesh S (2025), "Accelerated experimental design using a human–AI teaming framework", Knowledge-Based Systems. Vol. 315, pp. 113138.
BibTeX:
@article{AV2025113138,
  author = {Arun Kumar A.V. and Alistair Shilton and Sunil Gupta and Shannon Ryan and Majid Abdolshah and Hung Le and Santu Rana and Julian Berk and Mahad Rashid and Svetha Venkatesh},
  title = {Accelerated experimental design using a human–AI teaming framework},
  journal = {Knowledge-Based Systems},
  year = {2025},
  volume = {315},
  pages = {113138},
  note = {(Q1 journal)}
}
George TK, Semage BL, Rana S, Le H, Tran T, Gupta S and Venkatesh S (2025), "LaGR-SEQ: Language-guided reinforcement learning with sample-efficient querying", Neural Computing and Applications. Vol. 37, pp. 12447-12470.
BibTeX:
@article{George2025,
  author = {George, Thommen Karimpanal and Semage, Buddhika Laknath and Rana, Santu and Le, Hung and Tran, Truyen and Gupta, Sunil and Venkatesh, Svetha},
  title = {LaGR-SEQ: Language-guided reinforcement learning with sample-efficient querying},
  journal = {Neural Computing and Applications},
  year = {2025},
  volume = {37},
  pages = {12447--12470},
  note = {(Q1 journal)}
}
Ryan S, Le H, Berk J, Kumar A and Venkatesh S (2025), "Physics-informed machine learning for predicting the ballistic limit of whipple shields", International Journal of Impact Engineering. Vol. 203, pp. 105364.
BibTeX:
@article{RYAN2025105364,
  author = {Shannon Ryan and Hung Le and Julian Berk and Arun Kumar and Svetha Venkatesh},
  title = {Physics-informed machine learning for predicting the ballistic limit of whipple shields},
  journal = {International Journal of Impact Engineering},
  year = {2025},
  volume = {203},
  pages = {105364},
  note = {(Q1 journal)}
}
Tawfik SA, Berk J, Walsh TR, Rana S and Venkatesh S (2025), "Accelerated Discovery of Solid-State Electrolytes Using Bayesian Optimization", The Journal of Physical Chemistry C. Vol. 129(13), pp. 6148-6156.
BibTeX:
@article{doi:10.1021/acs.jpcc.5c00954,
  author = {Tawfik, Sherif Abdulkader and Berk, Julian and Walsh, Tiffany R. and Rana, Santu and Venkatesh, Svetha},
  title = {Accelerated Discovery of Solid-State Electrolytes Using Bayesian Optimization},
  journal = {The Journal of Physical Chemistry C},
  year = {2025},
  volume = {129},
  number = {13},
  pages = {6148--6156},
  note = {(Q1 journal)}
}
Werner-Seidler A, Mackinnon A, Batterham P, Calear A, Larsen M, Torok M, O’Dea B, Maston K, Huckvale K, Fujimoto H, Johnston L, Brown L, Batholomew A, Bal D, Beames J, Skinner SR, Boydell K, Schweizer S, Lingam R, Perry Y, Hudson J, Oei JL, Steinbeck K, Teesson M, Venkatesh S and Christensen H (2025), "Future Proofing Study: a cluster randomised controlled trial evaluating the effectiveness of a universal school-based cognitive-behavioural programme for adolescent depression", BMJ Mental Health. Vol. 28(1), pp. e301426.
BibTeX:
@article{aliza2025futureproofing,
  author = {Aliza Werner-Seidler and Andrew Mackinnon and Philip Batterham and Alison Calear and Mark Larsen and Michelle Torok and Bridianne O’Dea and Kate Maston and Kit Huckvale and Hiroko Fujimoto and Lara Johnston and Lyndsay Brown and Alexandra Batholomew and Debopriyo Bal and Joanne Beames and Susan Rachel Skinner and Katherine Boydell and Susanne Schweizer and Raghu Lingam and Yael Perry and Jennifer Hudson and Ju Lee Oei and Katharine Steinbeck and Maree Teesson and Svetha Venkatesh and Helen Christensen},
  title = {Future Proofing Study: a cluster randomised controlled trial evaluating the effectiveness of a universal school-based cognitive-behavioural programme for adolescent depression},
  journal = {BMJ Mental Health},
  year = {2025},
  volume = {28},
  number = {1},
  pages = {e301426},
  note = {(Q1 journal)}
}
Holm NN, Le TM, Frølich A, Andersen O, Juul-Larsen HG, Stockmarr A and Venkatesh S (2025), "amVAE: Age-aware multimorbidity clustering using variational autoencoders", Computers in Biology and Medicine. Vol. 186, pp. 109632.
BibTeX:
@article{HOLM2025109632,
  author = {Nikolaj Normann Holm and Thao Minh Le and Anne Frølich and Ove Andersen and Helle Gybel Juul-Larsen and Anders Stockmarr and Svetha Venkatesh},
  title = {amVAE: Age-aware multimorbidity clustering using variational autoencoders},
  journal = {Computers in Biology and Medicine},
  year = {2025},
  volume = {186},
  pages = {109632},
  note = {(Q1 journal)}
}
Palakkadavath R, Le H, Nguyen-Tang T, Gupta S and Venkatesh S (2025), "Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains", In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). , pp. 7389-7398.
BibTeX:
@inproceedings{10943488,
  author = {Palakkadavath, Ragja and Le, Hung and Nguyen-Tang, Thanh and Gupta, Sunil and Venkatesh, Svetha},
  title = {Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
  year = {2025},
  pages = {7389--7398},
  note = {(A conference)}
}
Tawfik SA, La L, Nguyen TM, Tran T, Gupta S and Venkatesh S (2025), "Scale matters: simulation of nanoscopic dendrite initiation in lithium solid electrolyte interphases using a machine learning potential", Journal of Materials Chemistry A. Vol. 13, pp. 6357-6363.
BibTeX:
@article{D4TA08189G,
  author = {Tawfik, Sherif Abdulkader and La, Linh and Nguyen, Tri Minh and Tran, Truyen and Gupta, Sunil and Venkatesh, Svetha},
  title = {Scale matters: simulation of nanoscopic dendrite initiation in lithium solid electrolyte interphases using a machine learning potential},
  journal = {Journal of Materials Chemistry A},
  year = {2025},
  volume = {13},
  pages = {6357--6363},
  note = {(Q1 journal)}
}
Zheng WY, Shvetcov A, Slade A, Jenkins Z, Hoon L, Whitton A, Logothetis R, Ravindra S, Kurniawan S, Gupta S, Huckvale K, Stech E, Agarwal A, Funke Kupper J, Cameron S, Rosenberg J, Manoglou N, Senadeera M, Venkatesh S, Mouzakis K, Vasa R, Christensen H and Newby J (2025), "Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial", Journal of Medical Internet Research. Vol. 27, pp. e60413.
BibTeX:
@article{info:doi/10.2196/60413,
  author = {Zheng, Wu Yi and Shvetcov, Artur and Slade, Aimy and Jenkins, Zoe and Hoon, Leonard and Whitton, Alexis and Logothetis, Rena and Ravindra, Smrithi and Kurniawan, Stefanus and Gupta, Sunil and Huckvale, Kit and Stech, Eileen and Agarwal, Akash and Funke Kupper, Joost and Cameron, Stuart and Rosenberg, Jodie and Manoglou, Nicholas and Senadeera, Manisha and Venkatesh, Svetha and Mouzakis, Kon and Vasa, Rajesh and Christensen, Helen and Newby, Jill},
  title = {Recruiting Young People for Digital Mental Health Research: Lessons From an AI-Driven Adaptive Trial},
  journal = {Journal of Medical Internet Research},
  year = {2025},
  volume = {27},
  pages = {e60413},
  note = {(Q1 journal)}
}
Holmes G, Tang B, Gupta S, Venkatesh S, Christensen H and Whitton A (2025), "Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review", Journal of Medical Internet Research. Vol. 27, pp. e63126.
BibTeX:
@article{info:doi/10.2196/63126,
  author = {Holmes, Glenn and Tang, Biya and Gupta, Sunil and Venkatesh, Svetha and Christensen, Helen and Whitton, Alexis},
  title = {Applications of Large Language Models in the Field of Suicide Prevention: Scoping Review},
  journal = {Journal of Medical Internet Research},
  year = {2025},
  volume = {27},
  pages = {e63126},
  note = {(Q1 journal)}
}
Patil P, Randive SN, Gupta S, Rana S, Venkatesh S and Murala S (2025), "Unpaired recurrent learning for real-world video de-hazing", Pattern Recognition. Vol. 166, pp. 111698.
BibTeX:
@article{PATIL2025111698,
  author = {Prashant Patil and Santosh Nagnath Randive and Sunil Gupta and Santu Rana and Svetha Venkatesh and Subrahmanyam Murala},
  title = {Unpaired recurrent learning for real-world video de-hazing},
  journal = {Pattern Recognition},
  year = {2025},
  volume = {166},
  pages = {111698},
  note = {(Q1 journal)}
}
Harikumar H, Rana S, Do K, Gupta S, Zong W, Susilo W and Venkatesh S (2025), "Defense Against Multi-target Multi-trigger Backdoor Attacks", In Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). , pp. 303-314.
BibTeX:
@inproceedings{Harikumar2025,
  author = {Harikumar, Haripriya and Rana, Santu and Do, Kien and Gupta, Sunil and Zong, Wei and Susilo, Willy and Venkatesh, Svetha},
  title = {Defense Against Multi-target Multi-trigger Backdoor Attacks},
  booktitle = {Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)},
  year = {2025},
  pages = {303--314},
  note = {(B conference)}
}
Nguyen D, Le H, Do K, Gupta S, Venkatesh S and Tran T (2025), "Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences", In International Conference on Autonomous Agents and Multiagent Systems (AAMAS). , pp. 2693-2695.
BibTeX:
@inproceedings{nguyen2025navigating,
  author = {Nguyen, Dung and Le, Hung and Do, Kien and Gupta, Sunil and Venkatesh, Svetha and Tran, Truyen},
  title = {Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences},
  booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
  year = {2025},
  pages = {2693--2695},
  note = {(A* conference)}
}
Tawfik SA, Gupta S and Venkatesh S (2025), "Predicting the Electron Density of Charged Systems Using Machine Learning", The Journal of Physical Chemistry A. Vol. 129(8), pp. 2117-2122.
BibTeX:
@article{Tawfik2025,
  author = {Tawfik, Sherif Abdulkader and Gupta, Sunil and Venkatesh, Svetha},
  title = {Predicting the Electron Density of Charged Systems Using Machine Learning},
  journal = {The Journal of Physical Chemistry A},
  year = {2025},
  volume = {129},
  number = {8},
  pages = {2117--2122},
  note = {(Q2 journal)}
}
Nguyen TM, Tawfik SA, Tran T, Gupta S, Rana S and Venkatesh S (2025), "The search for superionic solid-state electrolytes using a physics-informed generative model", Materials Horizons. , pp. (accepted 05 June 2025).
BibTeX:
@article{Nguyen2025,
  author = {Nguyen, Tri Minh and Tawfik, Sherif Abdulkader and Tran, Truyen and Gupta, Sunil and Rana, Santu and Venkatesh, Svetha},
  title = {The search for superionic solid-state electrolytes using a physics-informed generative model},
  journal = {Materials Horizons},
  year = {2025},
  pages = {(accepted 05 June 2025)},
  note = {(Q1 journal)}
}
Nguyen P, Tran T, Gupta S and Venkatesh S (2025), "Score-based Integrated Gradient for Root Cause Explanations of Outliers", In IEEE International Conference on Data Mining 2025 (ICDM). , pp. (Accepted on 26/08/2025).
BibTeX:
@inproceedings{nguyen25scorebased,
  author = {Nguyen, Phuoc and Tran, Truyen and Gupta, Sunil and Venkatesh, Svetha},
  title = {Score-based Integrated Gradient for Root Cause Explanations of Outliers},
  booktitle = {IEEE International Conference on Data Mining 2025 (ICDM)},
  year = {2025},
  pages = {(Accepted on 26/08/2025)},
  note = {(A* conference)}
}
Palakkadavath R, Le H, Nguyen-Tang T, Venkatesh S and Gupta S (2025), "Federated Domain Generalization with Latent Space Inversion", In IEEE International Conference on Data Mining 2025 (ICDM). , pp. (Accepted on 26/08/2025).
BibTeX:
@inproceedings{ragja2025federated,
  author = {Palakkadavath, Ragja and Le, Hung and Nguyen-Tang, Thanh and Venkatesh, Svetha and Gupta, Sunil},
  title = {Federated Domain Generalization with Latent Space Inversion},
  booktitle = {IEEE International Conference on Data Mining 2025 (ICDM)},
  year = {2025},
  pages = {(Accepted on 26/08/2025)},
  note = {(A* conference)}
}
Shilton A, Gupta S, Rana S and Venkatesh S (2025), "Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis", In Conference on Neural Information Processing Systems (NeurIPS). , pp. (Accepted on 19/09/2025).
BibTeX:
@inproceedings{shilton2025reproducing,
  author = {Shilton, Alistair and Gupta, Sunil and Rana, Santu and Venkatesh, Svetha},
  title = {Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis},
  booktitle = {Conference on Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  pages = {(Accepted on 19/09/2025)},
  note = {(A* conference)}
}
Tawfik SA, Nguyen TM, Tran T, Gupta S and Venkatesh S (2025), "Impact of chirality on nanotube fracture strain: comprehensive machine learning potential calculations", Nanoscale. , pp. -. The Royal Society of Chemistry.
Abstract: We present a comprehensive study of fracture strains in carbon nanotubes (CNTs) as a function of their chirality using the direct integration of the exchange potential (DIEP) machine learning potential model. By simulating fracture using quasi-static pulling of CNT structures, we simulated the fracture of 186 CNTs ranging from 476 atoms up to 5616 atoms in size. Our results reveal clear trends in the fracture strains for armchair, zigzag, and chiral CNTs. In particular, armchair nanotubes tend to exhibit localized bond scission near the ends of the supercell, while zigzag nanotubes suffer more distributed bond breakage along their length. This observation is consistent with previous molecular dynamics simulations. We validate the model's performance by comparing its predicted fracture strains with those of a published empirical model. In addition, we highlight specific CNT configurations with notably high or low fracture strains, shedding light on the interplay between chirality, diameter, and defect propagation mechanisms. The demonstrated predictive power of this machine learning potential underscores its promise for large-scale, high-throughput fracture simulations of CNTs and potentially other nanomaterials.
BibTeX:
@article{D5NR02768C,
  author = {Tawfik, Sherif Abdulkader and Nguyen, Tri Minh and Tran, Truyen and Gupta, Sunil and Venkatesh, Svetha},
  title = {Impact of chirality on nanotube fracture strain: comprehensive machine learning potential calculations},
  journal = {Nanoscale},
  publisher = {The Royal Society of Chemistry},
  year = {2025},
  pages = {-},
  url = {http://dx.doi.org/10.1039/D5NR02768C},
  doi = {10.1039/D5NR02768C}
}