Svetha Venkatesh

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 328

Top Venues

Publications

A. V. Arun Kumar, Alistair Shilton, Sunil Gupta, Santu Rana, Stewart Greenhill, Svetha Venkatesh
Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties. CoRR (2024)
Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. WACV (2024)
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
Root Cause Explanation of Outliers under Noisy Mechanisms. AAAI (2024)
Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh
Multi-Reference Preference Optimization for Large Language Models. CoRR (2024)
Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana
Composite Concept Extraction through Backdooring. CoRR (2024)
Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR (2024)
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh
Novel Kernel Models and Exact Representor Theory for Neural Networks Beyond the Over-Parameterized Regime. CoRR (2024)
Binh Nguyen-Thai, Vuong Le, Ngoc-Dung T. Tieu, Truyen Tran, Svetha Venkatesh, Naeem Ramzan
Learning evolving relations for multivariate time series forecasting. Appl. Intell. 54 (5) (2024)
Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR (2024)
Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
Beyond Surprise: Improving Exploration Through Surprise Novelty. AAMAS (2024)
Minh Hoang Nguyen, Hung Le, Svetha Venkatesh
Variable-Agnostic Causal Exploration for Reinforcement Learning. CoRR (2024)
Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI (2023)
Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. CoRR (2023)
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh
Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space. ICML (2023)
Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh
Gradient Descent in Neural Networks as Sequential Learning in RKBS. CoRR (2023)
Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. ICCV (2023)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Memory-Augmented Theory of Mind Network. AAAI (2023)
Romero F. A. B. de Morais, Vuong Le, Catherine Morgan, Alicia J. Spittle, Nadia Badawi, Jane Valentine, Elizabeth M. Hurrion, Paul A Dawson, Truyen Tran, Svetha Venkatesh
Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh
Intrinsic Motivation via Surprise Memory. CoRR (2023)
Manisha Senadeera, Santu Rana, Sunil Gupta, Svetha Venkatesh
Predictive Modeling through Hyper-Bayesian Optimization. CoRR (2023)
Wei Zong, Yang-Wai Chow, Willy Susilo, Kien Do, Svetha Venkatesh
TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems. SP (2023)
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh
Root Cause Explanation of Outliers under Noisy Mechanisms. CoRR (2023)
Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. CoRR (2023)
Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh, Subrahmanyam Murala
Multi-weather Image Restoration via Domain Translation. ICCV (2023)
Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. AAAI (2023)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Memory-Augmented Theory of Mind Network. CoRR (2023)
Sunil Gupta, Alistair Shilton, Arun Kumar A V, Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh
BO-Muse: A human expert and AI teaming framework for accelerated experimental design. CoRR (2023)
Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran
Guiding Visual Question Answering with Attention Priors. WACV (2023)
Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
Zero-shot Sim2Real Adaptation Across Environments. CoRR (2023)
Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta
Domain Generalization with Interpolation Robustness. ACML (2023)
Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. Artif. Intell. 325 (2023)
Thommen George Karimpanal, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh
LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying. CoRR (2023)
Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh
Episodic Policy Gradient Training. AAAI (2022)
Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. ICLR (2022)
Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer. ICPR Workshops (2) (2022)
Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
Uncertainty Aware System Identification with Universal Policies. ICPR (2022)
Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh
Generative Pseudo-Inverse Memory. ICLR (2022)
Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh
Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions. ECCV (28) (2022)
Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh
Expected Improvement for Contextual Bandits. NeurIPS (2022)
Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization. AISTATS (2022)
Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh
Fast Conditional Network Compression Using Bayesian HyperNetworks. CoRR (2022)
Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Memory-Constrained Policy Optimization. CoRR (2022)
Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. CoRR (2022)
Stewart Greenhill, Majid Abdolshah, Vuong Le, Sunil Gupta, Svetha Venkatesh
Semantic Control of Generative Musical Attributes. ISMIR (2022)
Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
Uncertainty Aware System Identification with Universal Policies. CoRR (2022)
Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization. CoRR (2022)
Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh
Prescriptive analytics with differential privacy. Int. J. Data Sci. Anal. 13 (2) (2022)
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR (2022)
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR (2022)
Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
Fast Model-based Policy Search for Universal Policy Networks. ICPR (2022)
Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
Persistent-Transient Duality in Human Behavior Modeling. CoRR (2022)
Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh
Dual-frame spatio-temporal feature modulation for video enhancement. Pattern Recognit. 130 (2022)
Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
Black-box Few-shot Knowledge Distillation. CoRR (2022)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS (2022)
Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS (2022)
Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
Fast Model-based Policy Search for Universal Policy Networks. CoRR (2022)
Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh
Verification of integrity of deployed deep learning models using Bayesian Optimization. Knowl. Based Syst. 241 (2022)
Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran
Persistent-Transient Duality in Human Behavior Modeling. CVPR Workshops (2022)
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran
Learning Theory of Mind via Dynamic Traits Attribution. CoRR (2022)
Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran
Learning to Transfer Role Assignment Across Team Sizes. CoRR (2022)
Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh
On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces. Trans. Mach. Learn. Res. 2022 (2022)
Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh
Black-Box Few-Shot Knowledge Distillation. ECCV (21) (2022)
Hung Le, Svetha Venkatesh
Neurocoder: General-Purpose Computation Using Stored Neural Programs. ICML (2022)
Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Anjanapura Venkatesh, Svetha Venkatesh
TRF: Learning Kernels with Tuned Random Features. AAAI (2022)
Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) (2022)
Arun Kumar A V, Santu Rana, Alistair Shilton, Svetha Venkatesh
Human-AI Collaborative Bayesian Optimisation. NeurIPS (2022)
Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh
Defense Against Multi-target Trojan Attacks. CoRR (2022)
Thai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh
Learning to Constrain Policy Optimization with Virtual Trust Region. NeurIPS (2022)
Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran
Learning to Transfer Role Assignment Across Team Sizes. AAMAS (2022)
Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran
Guiding Visual Question Answering with Attention Priors. CoRR (2022)
Preeti Gopal, Sunil Gupta, Santu Rana, Vuong Le, Trong Nguyen, Svetha Venkatesh
Real-Time Skill Discovery in Intelligent Virtual Assistants. PAKDD (1) (2022)
Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh
High Dimensional Level Set Estimation with Bayesian Neural Network. AAAI (2021)
Thomas P. Quinn, Sunil Gupta, Svetha Venkatesh, Vuong Le
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research. CoRR (2021)
Thin Nguyen, Hang Le, Thomas P. Quinn, Tri Nguyen, Thuc Duy Le, Svetha Venkatesh
GraphDTA: predicting drug-target binding affinity with graph neural networks. Bioinform. 37 (8) (2021)
Binh Nguyen-Thai, Vuong Le, Catherine Morgan, Nadia Badawi, Truyen Tran, Svetha Venkatesh
A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos. CoRR (2021)
Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh
Variational Hyper-encoding Networks. ECML/PKDD (2) (2021)
Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le
PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh
Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer. CoRR (2021)
Arun Kumar Anjanapura Venkatesh, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh
Kernel Functional Optimisation. NeurIPS (2021)
Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh
Fast Conditional Network Compression Using Bayesian HyperNetworks. ECML/PKDD (3) (2021)
Romero Morais, Vuong Le, Svetha Venkatesh, Truyen Tran
Learning Asynchronous and Sparse Human-Object Interaction in Videos. CVPR (2021)
Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh
On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks. CoRR (2021)
Hung Le, Majid Abdolshah, Thommen K. George, Kien Do, Dung Nguyen, Svetha Venkatesh
Episodic Policy Gradient Training. CoRR (2021)
Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
A New Representation of Successor Features for Transfer across Dissimilar Environments. ICML (2021)
Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan, Svetha Venkatesh
Knowledge Distillation with Distribution Mismatch. ECML/PKDD (2) (2021)
Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh
Sparse Spectrum Gaussian Process for Bayesian Optimization. PAKDD (2) (2021)
Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
A New Representation of Successor Features for Transfer across Dissimilar Environments. CoRR (2021)
Kien Do, Truyen Tran, Svetha Venkatesh
Clustering by Maximizing Mutual Information Across Views. CoRR (2021)
Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh
Fairness improvement for black-box classifiers with Gaussian process. Inf. Sci. 576 (2021)
Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. CoRR (2021)
Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
Bayesian Optimistic Optimisation with Exponentially Decaying Regret. ICML (2021)
Hung Tran-The, Sunil Gupta, Thanh Nguyen-Tang, Santu Rana, Svetha Venkatesh
Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support. CoRR (2021)
Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets. CoRR (2021)
Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS (2021)
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. Int. J. Comput. Vis. 129 (11) (2021)
Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh
Bayesian Optimistic Optimisation with Exponentially Decaying Regret. CoRR (2021)
Romero Morais, Vuong Le, Svetha Venkatesh, Truyen Tran
Learning Asynchronous and Sparse Human-Object Interaction in Videos. CoRR (2021)
Kien Do, Truyen Tran, Svetha Venkatesh
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. AAAI (2021)
Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms. CoRR (2021)
Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh
Plug and Play, Model-Based Reinforcement Learning. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Svetha Venkatesh