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2020 – today
- 2024
[j155]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): 3918-3932 (2024)- [c416]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh:
Root Cause Explanation of Outliers under Noisy Mechanisms. AAAI 2024: 20508-20515 - [c415]Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh:
Beyond Surprise: Improving Exploration Through Surprise Novelty. AAMAS 2024: 1084-1092 - [c414]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. ECAI 2024: 3120-3127 - [c413]Dai Do, Quan Tran, Svetha Venkatesh, Hung Le:
Large Language Model Prompting with Episodic Memory. ECAI 2024: 3891-3898 - [c412]Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana:
Composite Concept Extraction Through Backdooring. ICPR (29) 2024: 276-290 - [c411]Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. IJCAI 2024: 166-174 - [c410]Minh Hoang Nguyen, Hung Le, Svetha Venkatesh:
Variable-Agnostic Causal Exploration for Reinforcement Learning. ECML/PKDD (2) 2024: 216-232 - [c409]A. V. Arun Kumar, Alistair Shilton, Sunil Gupta, Santu Rana, Stewart Greenhill, Svetha Venkatesh:
Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties. ECML/PKDD (6) 2024: 234-250 - [c408]Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. WACV 2024: 4807-4816 - [i154]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 abs/2402.03577 (2024) - [i153]A. V. Arun Kumar, Alistair Shilton, Sunil Gupta, Santu Rana, Stewart Greenhill, Svetha Venkatesh:
Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties. CoRR abs/2402.17343 (2024) - [i152]Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran:
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR abs/2404.11870 (2024) - [i151]Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Novel Kernel Models and Exact Representor Theory for Neural Networks Beyond the Over-Parameterized Regime. CoRR abs/2405.15254 (2024) - [i150]Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh:
Multi-Reference Preference Optimization for Large Language Models. CoRR abs/2405.16388 (2024) - [i149]Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana:
Composite Concept Extraction through Backdooring. CoRR abs/2406.13411 (2024) - [i148]Minh Hoang Nguyen, Hung Le, Svetha Venkatesh:
Variable-Agnostic Causal Exploration for Reinforcement Learning. CoRR abs/2407.12437 (2024) - [i147]Dai Do, Quan Tran, Svetha Venkatesh, Hung Le:
Large Language Models Prompting With Episodic Memory. CoRR abs/2408.07465 (2024) - [i146]Hung Le, Kien Do, Dung Nguyen, Sunil Gupta, Svetha Venkatesh:
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. CoRR abs/2410.10132 (2024) - [i145]Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh:
Generating Realistic Tabular Data with Large Language Models. CoRR abs/2410.21717 (2024) - 2023
- [j154]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: 104021 (2023) - [j153]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): 5042-5053 (2023) - [c407]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: 9310-9318 - [c406]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. AAAI 2023: 11630-11637 - [c405]Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta:
Domain Generalization with Interpolation Robustness. ACML 2023: 1039-1054 - [c404]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. ICCV 2023: 9824-9833 - [c403]Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh, Subrahmanyam Murala:
Multi-weather Image Restoration via Domain Translation. ICCV 2023: 21639-21648 - [c402]Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space. ICML 2023: 31435-31488 - [c401]Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI 2023: 4082-4090 - [c400]Wei Zong, Yang-Wai Chow, Willy Susilo, Kien Do, Svetha Venkatesh:
TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems. SP 2023: 1667-1683 - [c399]Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Guiding Visual Question Answering with Attention Priors. WACV 2023: 4370-4379 - [i144]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. CoRR abs/2301.06926 (2023) - [i143]Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Gradient Descent in Neural Networks as Sequential Learning in RKBS. CoRR abs/2302.00205 (2023) - [i142]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Zero-shot Sim2Real Adaptation Across Environments. CoRR abs/2302.04013 (2023) - [i141]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 abs/2303.01684 (2023) - [i140]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. CoRR abs/2307.12729 (2023) - [i139]Manisha Senadeera, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Predictive Modeling through Hyper-Bayesian Optimization. CoRR abs/2308.00285 (2023) - [i138]Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh:
Intrinsic Motivation via Surprise Memory. CoRR abs/2308.04836 (2023) - [i137]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 abs/2308.13542 (2023) - [i136]Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. CoRR abs/2312.04095 (2023) - [i135]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh:
Root Cause Explanation of Outliers under Noisy Mechanisms. CoRR abs/2312.11818 (2023) - 2022
- [j152]Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh:
Prescriptive analytics with differential privacy. Int. J. Data Sci. Anal. 13(2): 123-138 (2022) - [j151]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: 108238 (2022) - [j150]Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Dual-frame spatio-temporal feature modulation for video enhancement. Pattern Recognit. 130: 108822 (2022) - [j149]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) - [c398]Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. AAAI 2022: 7317-7325 - [c397]Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Anjanapura Venkatesh, Svetha Venkatesh:
TRF: Learning Kernels with Tuned Random Features. AAAI 2022: 8286-8294 - [c396]Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization. AISTATS 2022: 8715-8737 - [c395]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS 2022: 954-962 - [c394]Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran:
Learning to Transfer Role Assignment Across Team Sizes. AAMAS 2022: 963-971 - [c393]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality in Human Behavior Modeling. CVPR Workshops 2022: 2527-2530 - [c392]Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions. ECCV (28) 2022: 143-160 - [c391]Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh:
Black-Box Few-Shot Knowledge Distillation. ECCV (21) 2022: 196-211 - [c390]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: 283-300 - [c389]Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh:
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. ICLR 2022 - [c388]Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh:
Generative Pseudo-Inverse Memory. ICLR 2022 - [c387]Hung Le, Svetha Venkatesh:
Neurocoder: General-Purpose Computation Using Stored Neural Programs. ICML 2022: 12204-12221 - [c386]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer. ICPR Workshops (2) 2022: 674-686 - [c385]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Fast Model-based Policy Search for Universal Policy Networks. ICPR 2022: 2314-2320 - [c384]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Uncertainty Aware System Identification with Universal Policies. ICPR 2022: 2321-2327 - [c383]Stewart Greenhill, Majid Abdolshah, Vuong Le, Sunil Gupta, Svetha Venkatesh:
Semantic Control of Generative Musical Attributes. ISMIR 2022: 817-824 - [c382]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 - [c381]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 - [c380]Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh:
Expected Improvement for Contextual Bandits. NeurIPS 2022 - [c379]Arun Kumar A. V., Santu Rana, Alistair Shilton, Svetha Venkatesh:
Human-AI Collaborative Bayesian Optimisation. NeurIPS 2022 - [c378]Preeti Gopal, Sunil Gupta, Santu Rana, Vuong Le, Trong Nguyen, Svetha Venkatesh:
Real-Time Skill Discovery in Intelligent Virtual Assistants. PAKDD (1) 2022: 315-327 - [i134]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Fast Model-based Policy Search for Universal Policy Networks. CoRR abs/2202.05843 (2022) - [i133]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Uncertainty Aware System Identification with Universal Policies. CoRR abs/2202.05844 (2022) - [i132]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 abs/2202.12154 (2022) - [i131]Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization. CoRR abs/2203.07875 (2022) - [i130]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. CoRR abs/2204.09047 (2022) - [i129]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh:
Memory-Constrained Policy Optimization. CoRR abs/2204.09315 (2022) - [i128]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality in Human Behavior Modeling. CoRR abs/2204.09875 (2022) - [i127]Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran:
Learning to Transfer Role Assignment Across Team Sizes. CoRR abs/2204.12937 (2022) - [i126]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 abs/2205.06404 (2022) - [i125]Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Guiding Visual Question Answering with Attention Priors. CoRR abs/2205.12616 (2022) - [i124]Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh:
Defense Against Multi-target Trojan Attacks. CoRR abs/2207.03895 (2022) - [i123]Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh:
Black-box Few-shot Knowledge Distillation. CoRR abs/2207.12106 (2022) - [i122]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 abs/2209.10359 (2022) - [i121]Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora:
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. CoRR abs/2211.13208 (2022) - 2021
- [j148]Haripriya Harikumar, Thomas P. Quinn, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient. BioData Min. 14(1) (2021) - [j147]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): 1140-1147 (2021) - [j146]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. Int. J. Comput. Vis. 129(11): 3027-3050 (2021) - [j145]Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh:
Fairness improvement for black-box classifiers with Gaussian process. Inf. Sci. 576: 542-556 (2021) - [j144]Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Adaptive cost-aware Bayesian optimization. Knowl. Based Syst. 232: 107481 (2021) - [j143]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): 2841-2847 (2021) - [j142]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. IEEE J. Biomed. Health Informatics 25(10): 3911-3920 (2021) - [c377]Kien Do, Truyen Tran, Svetha Venkatesh:
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. AAAI 2021: 7236-7244 - [c376]Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh:
Distributional Reinforcement Learning via Moment Matching. AAAI 2021: 9144-9152 - [c375]Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh:
High Dimensional Level Set Estimation with Bayesian Neural Network. AAAI 2021: 12095-12103 - [c374]Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran:
Learning Asynchronous and Sparse Human-Object Interaction in Videos. CVPR 2021: 16041-16050 - [c373]Kien Do, Truyen Tran, Svetha Venkatesh:
Clustering by Maximizing Mutual Information Across Views. ICCV 2021: 9908-9918 - [c372]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: 1-9 - [c371]Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Bayesian Optimistic Optimisation with Exponentially Decaying Regret. ICML 2021: 10390-10400 - [c370]Wei Zong, Yang-Wai Chow, Willy Susilo, Santu Rana, Svetha Venkatesh:
Targeted Universal Adversarial Perturbations for Automatic Speech Recognition. ISC 2021: 358-373 - [c369]Arun Kumar Anjanapura Venkatesh, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Kernel Functional Optimisation. NeurIPS 2021: 4725-4737 - [c368]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS 2021: 30313-30325 - [c367]Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Sparse Spectrum Gaussian Process for Bayesian Optimization. PAKDD (2) 2021: 257-268 - [c366]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh:
Variational Hyper-encoding Networks. ECML/PKDD (2) 2021: 100-115 - [c365]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: 250-265 - [c364]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: 330-345 - [i120]Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran:
Learning Asynchronous and Sparse Human-Object Interaction in Videos. CoRR abs/2103.02758 (2021) - [i119]Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh:
On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks. CoRR abs/2103.06671 (2021) - [i118]Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh:
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms. CoRR abs/2104.04999 (2021) - [i117]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer. CoRR abs/2104.08795 (2021) - [i116]Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Bayesian Optimistic Optimisation with Exponentially Decaying Regret. CoRR abs/2105.04332 (2021) - [i115]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 abs/2105.09783 (2021) - [i114]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 abs/2107.08426 (2021) - [i113]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 abs/2107.11533 (2021) - [i112]Kien Do, Truyen Tran, Svetha Venkatesh:
Clustering by Maximizing Mutual Information Across Views. CoRR abs/2107.11635 (2021) - [i111]Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Plug and Play, Model-Based Reinforcement Learning. CoRR abs/2108.08960 (2021) - [i110]Thomas P. Quinn, Sunil Gupta, Svetha Venkatesh, Vuong Le:
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research. CoRR abs/2110.08253 (2021) - [i109]Haripriya Harikumar, Kien Do, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Semantic Host-free Trojan Attack. CoRR abs/2110.13414 (2021) - [i108]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. CoRR abs/2111.02104 (2021) - [i107]