Sunil Gupta

Venues

Frequent coauthors

Papers

1. Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
   AAAI 2026 ·

   Manh Nguyen

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2. Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer
   IJCAI 2025 ·

   Minh Hoang Nguyen

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3. Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks
   UAI 2025 ·

   Dat Phan-Trong

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4. Causal Discovery via Bayesian Optimization
   ICLR 2025 ·

   Bao Duong

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5. Designing Search Space for Unbounded Bayesian Optimization via Transfer Learning
   ECML-PKDD 2025 ·

   Quoc Anh Hoang Nguyen

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6. DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-Domain Reinforcement Learning
   ECAI 2025 ·

   Linh Le Pham Van

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7. EvoCL: Continual Learning over Evolving Domains
   WACV 2025 ·

   Vishnuprasadh Kumaravelu

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8. Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains
   WACV 2025 ·

   Ragja Palakkadavath

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9. Federated Domain Generalization with Latent Space Inversion
   ICDM 2025 ·

   Ragja Palakkadavath

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10. High Dimensional Bayesian Optimization using Lasso Variable Selection
    AISTATS 2025 ·

    Vu Viet Hoang

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11. Hybrid Cross-Domain Robust Reinforcement Learning
    ECML-PKDD 2025 ·

    Linh Le Pham Van

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12. Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
    AAMAS 2025 ·

    Dung Nguyen

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13. Navigating Social Dilemmas with LLM-based Agents via Consideration of Future Consequences
    IJCAI 2025 ·

    Dung Nguyen

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14. Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
    NeurIPS 2025 ·

    Alistair Shilton

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15. Score-Based Integrated Gradient for Root Cause Explanations of Outliers
    ICDM 2025 ·

    Phuoc Nguyen

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16. Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning
    ICLR 2025 ·

    Hung Le

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17. Active Set Ordering
    NeurIPS 2024 ·

    Quoc Phong Nguyen

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18. Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach
    IJCAI 2024 ·

    Dung Nguyen

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19. EMOTE: An Explainable Architecture for Modelling the Other through Empathy
    IJCAI 2024 ·

    Manisha Senadeera

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20. Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties
    ECML-PKDD 2024 ·

    A. V. Arun Kumar

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21. Generating Realistic Tabular Data with Large Language Models
    ICDM 2024 ·

    Dang Nguyen

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22. Improving Diversity in Black-Box Few-Shot Knowledge Distillation
    ECML-PKDD 2024 ·

    Tri-Nhan Vo

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23. PINN-BO: A Black-Box Optimization Algorithm Using Physics-Informed Neural Networks
    ECML-PKDD 2024 ·

    Dat Phan-Trong

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24. Policy Learning for Off-Dynamics RL with Deficient Support
    AAMAS 2024 ·

    Linh Le Pham Van

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25. Root Cause Explanation of Outliers under Noisy Mechanisms
    AAAI 2024 ·

    Phuoc Nguyen

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