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2020 – today
- 2023
[c2]Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis:
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. ICLR 2023- [i7]Chaitra Hedge, Gezheng Wen, Layne C. Price:
Activity Classification Using Unsupervised Domain Transfer from Body Worn Sensors. CoRR abs/2304.10643 (2023) - 2022
- [i6]Yulun Wu, Layne C. Price, Zichen Wang, Vassilis N. Ioannidis, George Karypis:
Variational Causal Inference. CoRR abs/2209.05935 (2022) - [i5]Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis:
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. CoRR abs/2210.00116 (2022) - [i4]Gil Sadeh, Zichen Wang, Jasleen Grewal, Huzefa Rangwala, Layne Price:
Training self-supervised peptide sequence models on artificially chopped proteins. CoRR abs/2211.06428 (2022) - 2020
- [i3]Grigor Aslanyan, Richard Easther
, Nathan Musoke, Layne C. Price:
Robust posterior inference when statistically emulating forward simulations. CoRR abs/2004.11929 (2020)
2010 – 2019
- 2019
- [i2]Mohammad Taha Bahadori, Layne C. Price:
Discovering Invariances in Healthcare Neural Networks. CoRR abs/1911.03295 (2019) - 2017
- [i1]Siamak Ravanbakhsh, Junier B. Oliva, Sebastian Fromenteau, Layne C. Price, Shirley Ho, Jeff G. Schneider, Barnabás Póczos:
Estimating Cosmological Parameters from the Dark Matter Distribution. CoRR abs/1711.02033 (2017) - 2016
- [c1]Siamak Ravanbakhsh, Junier B. Oliva, Sebastian Fromenteau, Layne Price, Shirley Ho, Jeff G. Schneider, Barnabás Póczos:
Estimating Cosmological Parameters from the Dark Matter Distribution. ICML 2016: 2407-2416
Coauthor Index
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