Classifier-Based Inference is a simulation-based inference method that uses a trained classifier to estimate posterior distributions by distinguishing between simulated parameter-data pairs, thereby replacing explicit likelihood calculations with discriminative learning.
74
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3.7K
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269
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131
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2017–2026
23
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Publications
74
1–5 of 74
Authors
269
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2
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2
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1–5 of 269
Institutions
131
University of Southern California
Los Angeles, United States
4 h-index
16 publications
696 citations
Politecnico di Milano
Milan, Italy
3 h-index
3 publications
275 citations
University of Massachusetts Amherst
Amherst Center, United States
2 h-index
6 publications
981 citations
University of Utah
Salt Lake City, United States
2 h-index
16 publications
1.8K citations
University of the West of England
Bristol, United Kingdom
2 h-index
2 publications
115 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
3 publications
63 citations
University of California San Diego
San Diego, United States
2 h-index
16 publications
1.9K citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
6 publications
992 citations
1–8 of 131
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- arXiv (Cornell University)
Repository · 5 publications · 231 citations
5
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- Machine Learning
2 publications · 95 citations
2
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- Wellcome Open Research
2 publications · 24 citations
2
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- UWE Research Repository (UWE Bristol)
Repository · 2 publications · 66 citations
2
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- Bioinformatics
1 publications · 63 citations
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