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ORCIDEthan Weinberger
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2020 – today
- 2023
[c4]Ethan Weinberger, Ian Covert, Su-In Lee:
Feature Selection in the Contrastive Analysis Setting. NeurIPS 2023- [i4]Ethan Weinberger, Ian Covert, Su-In Lee:
Feature Selection in the Contrastive Analysis Setting. CoRR abs/2310.18531 (2023) - 2022
- [c3]Ethan Weinberger, Nicasia Beebe-Wang, Su-In Lee:
Moment Matching Deep Contrastive Latent Variable Models. AISTATS 2022: 2354-2371 - [c2]Ethan Weinberger, Romain Lopez, Jan-Christian Hütter, Aviv Regev:
Disentangling shared and group-specific variations in single-cell transcriptomics data with multiGroupVI. MLCB 2022: 16-32 - [i3]Ethan Weinberger, Nicasia Beebe-Wang, Su-In Lee:
Moment Matching Deep Contrastive Latent Variable Models. CoRR abs/2202.10560 (2022) - 2020
- [c1]Ethan Weinberger, Joseph D. Janizek, Su-In Lee:
Learning Deep Attribution Priors Based On Prior Knowledge. NeurIPS 2020
2010 – 2019
- 2019
- [i2]Ethan Weinberger, Joseph D. Janizek, Su-In Lee:
Learned Feature Attribution Priors. CoRR abs/1912.10065 (2019) - 2018
- [i1]Uri Shaham, James Garritano
, Yutaro Yamada, Ethan Weinberger, Alex Cloninger, Xiuyuan Cheng, Kelly P. Stanton, Yuval Kluger:
Defending against Adversarial Images using Basis Functions Transformations. CoRR abs/1803.10840 (2018)
Coauthor Index
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