| OpenXAI: Towards a Transparent Evaluation of Model Explanations C Agarwal, D Ley, S Krishna, E Saxena, M Pawelczyk, N Johnson, I Puri, ... NeurIPS 2022 (Datasets & Benchmarks Track) [arXiv 2024 v5: https://arxiv.org …, 2024 | 98 | 2024 |
| Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates D Ley, U Bhatt, A Weller AAAI 2022, 2022 | 16 | 2022 |
| Global Counterfactual Explanations: Investigations, Implementations and Improvements D Ley, S Mishra, D Magazzeni ICLR 2022 (Workshop on Privacy, Accountability, Interpretability, Robustness …, 2022 | 8 | 2022 |
| 𝛿-CLUE: Diverse Sets of Explanations for Uncertainty Estimates D Ley, U Bhatt, A Weller ICLR 2021 (Workshop on Security and Safety in Machine Learning Systems), 2021 | 8* | 2021 |
| Are Large Language Models Post Hoc Explainers? N Kroeger, D Ley, S Krishna, C Agarwal, H Lakkaraju arXiv preprint arXiv:2310.05797, 2023 | 7 | 2023 |
| On Minimizing the Impact of Dataset Shifts on Actionable Explanations AP Meyer, D Ley, S Srinivas, H Lakkaraju UAI 2023, 2023 | 3 | 2023 |
| GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations D Ley, S Mishra, D Magazzeni ICML 2023, 2023 | 2 | 2023 |
| Consistent Explanations in the Face of Model Indeterminacy via Ensembling D Ley, L Tang, M Nazari, H Lin, S Srinivas, H Lakkaraju ICML 2023 (Workshop on Interpretable Machine Learning in Healthcare), 2023 | 2 | 2023 |
| Translation-based algorithm for generating global and efficient counterfactual explanations in artificial intelligence LEY Dan, S Mishra, D Magazzeni US Patent App. 18/199,680, 2024 | | 2024 |
| System and method for providing global counterfactual explanations in artificial intelligence S Mishra, LEY Dan, D Magazzeni US Patent App. 18/126,081, 2023 | | 2023 |
| Degraded Polygons Raise Fundamental Questions of Neural Network Perception L Tang, D Ley NeurIPS 2023 (Datasets & Benchmarks Track), 2023 | | 2023 |
| Diverse and Amortised Counterfactual Explanations for Uncertainty Estimates D Ley, U Bhatt, A Weller ICML 2021 (Workshop on Algorithmic Recourse), 2021 | | 2021 |
Himabindu LakkarajuAssistant Professor, Harvard UniversityVerified email at seas.harvard.edu
