Santu Rana

The Unintended Trade-off of AI Alignment: Balancing Hallucination Mitigation and Safety in LLMs EACL 2026 ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs NAACL 2025 EMOTE: An Explainable Architecture for Modelling the Other through Empathy IJCAI 2024 Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection WACV 2024 Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space ICML 2023 Multi-weather Image Restoration via Domain Translation ICCV 2023 Expected Improvement for Contextual Bandits NeurIPS 2022 Human-AI Collaborative Bayesian Optimisation NeurIPS 2022 Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation NeurIPS 2022 Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization AISTATS 2022 Towards Effective and Robust Neural Trojan Defenses via Input Filtering ECCV 2022 TRF: Learning Kernels with Tuned Random Features AAAI 2022 Video Restoration Framework and Its Meta-Adaptations to Data-Poor Conditions ECCV 2022 A New Representation of Successor Features for Transfer across Dissimilar Environments ICML 2021 Bayesian Optimistic Optimisation with Exponentially Decaying Regret ICML 2021 High Dimensional Level Set Estimation with Bayesian Neural Network AAAI 2021 Kernel Functional Optimisation NeurIPS 2021 Accelerated Bayesian Optimisation through Weight-Prior Tuning AISTATS 2020 Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 2020 DeepCoDA: personalized interpretability for compositional health data ICML 2020 Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020 Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation IJCAI 2020 Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces NeurIPS 2020 Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization AAAI 2020 Bayesian Functional Optimisation with Shape Prior AAAI 2019 Bayesian Optimization with Unknown Search Space NeurIPS 2019 Multi-objective Bayesian optimisation with preferences over objectives NeurIPS 2019 Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation NeurIPS 2018 Exploiting Strategy-Space Diversity for Batch Bayesian Optimization AISTATS 2018 High Dimensional Bayesian Optimization using Dropout IJCAI 2017 High Dimensional Bayesian Optimization with Elastic Gaussian Process ICML 2017 Process-constrained batch Bayesian optimisation NeurIPS 2017 Regret Bounds for Transfer Learning in Bayesian Optimisation AISTATS 2017 Regret for Expected Improvement over the Best-Observed Value and Stopping Condition ACML 2017 A Bayesian Nonparametric Approach for Multi-label Classification ACML 2016