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Cora Dvorkin

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2020 – today

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2023
[i4]
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  - journals/corr/abs-2308-09751
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Aizhan Akhmetzhanova, Siddharth Mishra-Sharma, Cora Dvorkin:
Data Compression and Inference in Cosmology with Self-Supervised Machine Learning. CoRR abs/2308.09751 (2023)
2022
[i3]
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  - journals/corr/abs-2203-08056
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Cora Dvorkin, Siddharth Mishra-Sharma, Brian Nord, V. Ashley Villar, Camille Avestruz, Keith Bechtol, Aleksandra Ciprijanovic, Andrew J. Connolly, Lehman H. Garrison, Gautham Narayan, Francisco Villaescusa-Navarro:
Machine Learning and Cosmology. CoRR abs/2203.08056 (2022)
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  - journals/corr/abs-2208-13796
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Gemma Zhang, Siddharth Mishra-Sharma, Cora Dvorkin:
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimation. CoRR abs/2208.13796 (2022)

2010 – 2019

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2019
[i1]
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  - journals/corr/abs-1910-08077
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Sebastian Wagner-Carena, Max Hopkins, Ana Diaz Rivero, Cora Dvorkin:
A Novel CMB Component Separation Method: Hierarchical Generalized Morphological Component Analysis. CoRR abs/1910.08077 (2019)

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