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Aditya Lahiri
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Explainable ai: Foundations, applications, opportunities for data management research
R Pradhan, A Lahiri, S Galhotra, B Salimi
Proceedings of the 2022 International Conference on Management of Data, 2452 …, 2022
292022
Pitfalls of explainable ML: an industry perspective
S Verma, A Lahiri, JP Dickerson, SI Lee
arXiv preprint arXiv:2106.07758, 2021
122021
Combining counterfactuals with shapley values to explain image models
A Lahiri, K Alipour, E Adeli, B Salimi
arXiv preprint arXiv:2206.07087, 2022
62022
Explaining image classifiers using contrastive counterfactuals in generative latent spaces
K Alipour, A Lahiri, E Adeli, B Salimi, M Pazzani
arXiv preprint arXiv:2206.05257, 2022
62022
Accurate and Intuitive Contextual Explanations using Linear Model Trees
A Lahiri, NU Edakunni
arXiv preprint arXiv:2009.05322, 2020
32020
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation
J Hwa, Q Zhao, A Lahiri, A Masood, B Salimi, E Adeli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Deterministic Algorithmic Approaches to Solve Generalised Wordle
A Lahiri, N Shah, S Agarwal, V Nandakumar
arXiv preprint arXiv:2305.14756, 2023
2023
Contrastive, Causal, and Game Theoretic Explanations to Understand Multi-Modal Models
A Lahiri
University of California, San Diego, 2023
2023
Predicting Airbnb Rental Prices Using Multiple Feature Modalities
A Ahuja, A Lahiri, A Das
arXiv preprint arXiv:2112.06430, 2021
2021
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Artikelen 1–9