June 06, 2015 preprint Open access Approximating Likelihood Ratios with Calibrated Discriminative Classifiers arXiv (Cornell University) DOI: 10.48550/arxiv.1506.02169 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 128 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Development of systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC 2025 The European Physical Journal C article Physics and Astronomy Particle physics theoretical and experimental studies Open access 1 citations Fast likelihood-free inference in the LSS Stage IV era 2024 Journal of Cosmology and Astroparticle Physics article Physics and Astronomy Cosmology and Gravitation Theories Open access 12 citations Fast and credible likelihood-free cosmology with truncated marginal neural ratio estimation 2022 Journal of Cosmology and Astroparticle Physics article Mathematics Markov Chains and Monte Carlo Methods Open access 54 citations Classifying evolutionary forces in language change using neural networks 2020 Evolutionary Human Sciences article Social Sciences Language and cultural evolution Open access 10 citations 4 results References 0