| AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ... IBM Journal of Research and Development 63 (4/5), 4: 1-4: 15, 2019 | 1351 | 2019 |
| One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... arXiv preprint arXiv:1909.03012, 2019 | 409 | 2019 |
| Fairness GAN: Generating datasets with fairness properties using a generative adversarial network P Sattigeri, SC Hoffman, V Chenthamarakshan, KR Varshney IBM Journal of Research and Development 63 (4/5), 3: 1-3: 9, 2019 | 212* | 2019 |
| CogMol: Target-specific and selective drug design for COVID-19 using deep generative models V Chenthamarakshan, P Das, S Hoffman, H Strobelt, I Padhi, KW Lim, ... Advances in Neural Information Processing Systems 33, 4320-4332, 2020 | 93 | 2020 |
| Ai explainability 360 toolkit V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021 | 84 | 2021 |
| One explanation does not fit all: a toolkit and taxonomy of AI explainability techniques (2019) V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... URL https://arxiv. org/abs, 1909 | 63 | 1909 |
| Optimizing molecules using efficient queries from property evaluations SC Hoffman, V Chenthamarakshan, K Wadhawan, PY Chen, P Das Nature Machine Intelligence 4 (1), 21-31, 2022 | 62 | 2022 |
| Think your artificial intelligence software is fair? Think again RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ... IEEE Software 36 (4), 76-80, 2019 | 46 | 2019 |
| AI Fairness 360: an extensible toolkit for detecting RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ... Understanding, and Mitigating Unwanted Algorithmic Bias 2, 2018 | 42 | 2018 |
| Accelerating drug target inhibitor discovery with a deep generative foundation model V Chenthamarakshan, SC Hoffman, CD Owen, P Lukacik, ... Science Advances 9 (25), eadg7865, 2023 | 11 | 2023 |
| Combinatorial black-box optimization with expert advice H Dadkhahi, K Shanmugam, J Rios, P Das, SC Hoffman, TD Loeffler, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 10 | 2020 |
| Gt4sd: Generative toolkit for scientific discovery M Manica, J Cadow, D Christofidellis, A Dave, J Born, D Clarke, ... arXiv e-prints, arXiv: 2207.03928, 2022 | 9 | 2022 |
| Augmenting molecular deep generative models with topological data analysis representations Y Schiff, V Chenthamarakshan, SC Hoffman, KN Ramamurthy, P Das ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 9 | 2022 |
| An empirical study of modular bias mitigators and ensembles M Feffer, M Hirzel, SC Hoffman, K Kate, P Ram, A Shinnar arXiv preprint arXiv:2202.00751, 2022 | 9 | 2022 |
| Ai explainability 360: Impact and design V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12651 …, 2022 | 8 | 2022 |
| AI explainability 360: hands-on tutorial V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ... Proceedings of the 2020 Conference on Fairness, Accountability, and …, 2020 | 8 | 2020 |
| Sample-efficient generation of novel photo-acid generator molecules using a deep generative model SC Hoffman, V Chenthamarakshan, DY Zubarev, DP Sanders, P Das arXiv preprint arXiv:2112.01625, 2021 | 5 | 2021 |
| Accelerating material design with the generative toolkit for scientific discovery M Manica, J Born, J Cadow, D Christofidellis, A Dave, D Clarke, ... npj Computational Materials 9 (1), 69, 2023 | 2 | 2023 |
| Causal Graphs Underlying Generative Models: Path to Learning with Limited Data SC Hoffman, K Wadhawan, P Das, P Sattigeri, K Shanmugam arXiv preprint arXiv:2207.07174, 2022 | 2 | 2022 |
| Deep surrogate langevin sampling for multi-objective constraint black box optimization with applications to optimal inverse design problems T Van Nguyen, Y Mroueh, SC Hoffman, P Das, PL Dognin, G Romano, ... US Patent App. 17/008,197, 2022 | 2 | 2022 |
