publications

2026

  1. Accelerating Multi-Property Molecular Design via Entropic-Risk-Based Counterfactual Explanations
    Pasan Dissanayake, Po-Yen Chen, and Sanghamitra Dutta
    In ICLR AI4MAT Workshop, 2026
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  2. Foundations of Efficient Model Reconstruction Using Counterfactual Explanations
    Pasan Dissanayake, and Sanghamitra Dutta
    IEEE Journal on Selected Areas in Information Theory, 2026
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2025

  1. Quantifying Knowledge Distillation using Partial Information Decomposition
    Pasan Dissanayake, Faisal Hamman, Barproda Halder, and 3 more authors
    In AISTATS, 2025
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  2. Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
    F. Hamman, P. Dissanayake, Y. Fu, and 1 more author
    In NeurIPS, 2025
  3. Quantifying Prediction Consistency Under Fine-Tuning Multiplicity in Tabular LLMs
    Faisal Hamman, Pasan Dissanayake, Saumitra Mishra, and 2 more authors
    In ICML, 2025
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  4. Private Counterfactual Retrieval With Immutable Features
    Shreya Meel, Pasan Dissanayake, Mohamed Nomeir, and 2 more authors
    In ISIT, 2025
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  5. Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures
    Erfaun Noorani, Pasan Dissanayake, Faisal Hamman, and 1 more author
    In AAMAS, 2025
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  6. Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition
    Barproda Halder, Faisal Hamman, Pasan Dissanayake, and 3 more authors
    Transactions on Machine Learning Research (TMLR), 2025
  7. Private Counterfactual Retrieval
    Mohamed Nomeir, Pasan Dissanayake, Shreya Meel, and 2 more authors
    In Allerton, 2025
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2024

  1. Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
    Pasan Dissanayake, and Sanghamitra Dutta
    In NeurIPS, 2024
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2022

  1. Distribution of the Scaled Condition Number of Single-Spiked Complex Wishart Matrices
    Pasan Dissanayake, Prathapasinghe Dharmawansa, and Yang Chen
    IEEE Transactions on Information Theory, 2022
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  2. The Eigenvectors of Single-Spiked Complex Wishart Matrices: Finite and Asymptotic Analyses
    Prathapasinghe Dharmawansa, Pasan Dissanayake, and Yang Chen
    IEEE Transactions on Information Theory, 2022
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