Bernard Koch

According to our database, Bernard Koch authored at least 5 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DMLR: Data-centric Machine Learning Research - Past, Present and Future.

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

CoRR, 2023

2021

Deep Learning of Potential Outcomes.

Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, Jacob Gates Foster

CoRR, 2021

HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding.

Song Jiang, Bernard Koch, Yizhou Sun

Proceedings of the WWW '21: The Web Conference 2021, 2021

Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research.

Bernard Koch, Emily Denton, Alex Hanna, Jacob G. Foster

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2019

Uncovering Sociological Effect Heterogeneity using Machine Learning.

Jennie E. Brand, Jiahui Xu, Bernard Koch, Pablo Geraldo

CoRR, 2019