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Samuel C. Hoffman
Samuel C. Hoffman
IBM Research AI
在 ibm.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
14632019
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
4462019
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
225*2019
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
952021
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
952020
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
731909
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
682022
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
492019
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
432018
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
152023
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
122020
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
102022
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
102022
Gt4sd: Generative toolkit for scientific discovery
M Manica, J Cadow, D Christofidellis, A Dave, J Born, D Clarke, ...
arXiv preprint arXiv:2207.03928, 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
92020
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
82022
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
52023
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
42021
Artificial intelligence certification of factsheets using blockchain
K Kannan, PK Lohia, S Hoffman, KR Varshney, S Mehta
US Patent 11,483,154, 2022
22022
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
22022
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