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Samuel C. Hoffman
Samuel C. Hoffman
IBM Research AI
Verified email at ibm.com
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Cited by
Year
AI Fairness 360: An extensible toolkit for detecting, understanding, and mitigating unwanted algorithmic bias
RKE Bellamy, K Dey, M Hind, SC Hoffman, S Houde, K Kannan, P Lohia, ...
arXiv preprint arXiv:1810.01943, 2018
5392018
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
3352019
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
2612019
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
146*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
702020
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
542021
One explanation does not fit all: A toolkit and taxonomy of ai explainability techniques. arXiv 2019
V Arya, RK Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
arXiv preprint arXiv:1909.03012, 2022
442022
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
322019
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, 2018
292018
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
242022
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
72020
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
62020
GT4SD: Generative Toolkit for Scientific Discovery
M Manica, J Cadow, D Christofidellis, A Dave, J Born, D Clarke, ...
arXiv preprint arXiv:2207.03928, 2022
32022
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
32021
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
22022
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
22022
Artificial intelligence certification of factsheets using blockchain
K Kannan, PK Lohia, S Hoffman, KR Varshney, S Mehta
US Patent 11,483,154, 2022
12022
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
12022
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
12022
Continuity report: Revisiting grocery recognition using tensorflow
SC Hoffman, D Thiagarajan
1
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