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Samuel C. Hoffman
Samuel C. Hoffman
IBM Research AI
Verified email at ibm.com
Title
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Cited by
Year
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
6902019
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
2412019
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
115*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
59*2020
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models.
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
J. Mach. Learn. Res. 21 (130), 1-6, 2020
342020
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
262019
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
92022
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
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
52020
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
12022
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
12021
Artificial intelligence certification of factsheets using blockchain
K Kannan, PK Lohia, S Hoffman, KR Varshney, S Mehta
US Patent App. 16/795,455, 2021
12021
AI Explainability 360 Toolkit
V Arya, RKE Bellamy, PY Chen, A Dhurandhar, M Hind, SC Hoffman, ...
8th ACM IKDD CODS and 26th COMAD, 376-379, 2021
12021
Continuity report: Revisiting grocery recognition using tensorflow
SC Hoffman, D Thiagarajan
1
Accelerating Material Design with the Generative Toolkit for Scientific Discovery (GT4SD)
M Manica, J Cadow, D Christofidellis, A Dave, J Born, D Clarke, ...
American Chemical Society (ACS) Fall Meeting, 2022
2022
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
2022
GT4SD: Generative Toolkit for Scientific Discovery
M Manica, J Cadow, D Christofidellis, A Dave, J Born, D Clarke, ...
arXiv preprint arXiv:2207.03928, 2022
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
2022
Combinatorial black box optimization with expert advice
H Dadkhahi, K Shanmugam, JMR Aliaga, P Das, SC Hoffman
US Patent App. 17/114,408, 2022
2022
Accelerating Inhibitor Discovery for Multiple SARS-CoV-2 Targets with a Single, Sequence-Guided Deep Generative Framework
V Chenthamarakshan, SC Hoffman, CD Owen, P Lukacik, ...
arXiv preprint arXiv:2204.09042, 2022
2022
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