Faisal Hamman - RankMe

21 papers A* 3A 2B 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures. AAMAS Erfaun Noorani, Pasan Dissanayake, Faisal Hamman, Sanghamitra Dutta
2025	J	`jnl`	Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures. CoRR Erfaun Noorani, Pasan Dissanayake, Faisal Hamman, Sanghamitra Dutta
2025	J	`jnl`	Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations. CoRR Faisal Hamman, Pasan Dissanayake, Yanjun Fu, Sanghamitra Dutta
2025	J	`jnl`	Improving Consistency in Retrieval-Augmented Systems with Group Similarity Rewards. CoRR Faisal Hamman, Chenyang Zhu, Anoop Kumar, Xujun Peng, Sanghamitra Dutta, Daben Liu, Alfy Samuel
2025	A	`conf`	Quantifying Knowledge Distillation using Partial Information Decomposition. AISTATS Pasan Dissanayake, Faisal Hamman, Barproda Halder, Ilia Sucholutsky, Qiuyi Zhang, Sanghamitra Dutta
2025	A*	`conf`	Quantifying Prediction Consistency Under Fine-tuning Multiplicity in Tabular LLMs. ICML Faisal Hamman, Pasan Dissanayake, Saumitra Mishra, Freddy Lécué, Sanghamitra Dutta
2025	J	`jnl`	T-SHIRT: Token-Selective Hierarchical Data Selection for Instruction Tuning. CoRR Yanjun Fu, Faisal Hamman, Sanghamitra Dutta
2025	J	`jnl`	Towards Formalizing Spuriousness of Biased Datasets Using Partial Information Decomposition. Trans. Mach. Learn. Res. Barproda Halder, Faisal Hamman, Pasan Dissanayake, Qiuyi Zhang, Ilia Sucholutsky, Sanghamitra Dutta
2024	B	`conf`	A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition. ISIT Faisal Hamman, Sanghamitra Dutta
2024	J	`jnl`	A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition. CoRR Faisal Hamman, Sanghamitra Dutta
2024	A*	`conf`	Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition. ICLR Faisal Hamman, Sanghamitra Dutta
2024	J	`jnl`	Quantifying Knowledge Distillation Using Partial Information Decomposition. CoRR Pasan Dissanayake, Faisal Hamman, Barproda Halder, Ilia Sucholutsky, Qiuyi Zhang, Sanghamitra Dutta
2024	J	`jnl`	Quantifying Prediction Consistency Under Model Multiplicity in Tabular LLMs. CoRR Faisal Hamman, Pasan Dissanayake, Saumitra Mishra, Freddy Lécué, Sanghamitra Dutta
2024	J	`jnl`	Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition. CoRR Barproda Halder, Faisal Hamman, Pasan Dissanayake, Qiuyi Zhang, Ilia Sucholutsky, Sanghamitra Dutta
2024	J	`jnl`	Robust Algorithmic Recourse Under Model Multiplicity With Probabilistic Guarantees. IEEE J. Sel. Areas Inf. Theory Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta
2023	J	`jnl`	A Review of Partial Information Decomposition in Algorithmic Fairness and Explainability. Entropy Sanghamitra Dutta, Faisal Hamman
2023	—	`conf`	Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity. FAccT Faisal Hamman, Jiahao Chen, Sanghamitra Dutta
2023	J	`jnl`	Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition. CoRR Faisal Hamman, Sanghamitra Dutta
2023	A*	`conf`	Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees. ICML Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta
2023	J	`jnl`	Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees. CoRR Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta
2022	J	`jnl`	Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity. CoRR Faisal Hamman, Jiahao Chen, Sanghamitra Dutta