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ORCIDBernard Koch
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2020 – today
- 2023
[i4]Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson:
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR abs/2311.13028 (2023)- 2021
- [c2]Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster:
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. NeurIPS Datasets and Benchmarks 2021 - [c1]Song Jiang, Bernard Koch, Yizhou Sun:
HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding. WWW 2021: 3158-3167 - [i3]Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster:
Deep Learning of Potential Outcomes. CoRR abs/2110.04442 (2021) - [i2]Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster:
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research. CoRR abs/2112.01716 (2021)
2010 – 2019
- 2019
- [i1]Jennie E. Brand, Jiahui Xu, Bernard Koch, Pablo Geraldo:
Uncovering Sociological Effect Heterogeneity using Machine Learning. CoRR abs/1909.09138 (2019)
Coauthor Index
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