Papers

• Proactive Inpatient Bed Requests for Emergency Department Admissions (2026)
  QIan Cheng et al.
  5.01
• Parallel gradient boosting for flexible estimation of conditional distributions (2026)
  R\'emy Chapelle (CESP et al.
  4.39
• On the Impact of Entropy-based Features (2026)
  Iuri Mundstock et al.
  4.39
• Who Became Financially Vulnerable After COVID-19? A Population-Level Machine Learning Analysis Using MEPS Data (2026)
  Alexey Kresin et al.
  4.39
• The Agentic Garden of Forking Paths (2026)
  Jiacheng Miao et al.
  3.51
• A Transportable Threshold-Based Framework for Interpretable Classification of Medical Data (2026)
  Antony Garcia et al.
  3.51
• A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation (2025)
  Xinran Song and Tianyu Chen and Mingyuan Zhou
  1.22
• Variational hybridization and transformation for large inaccurate noisy-or networks (2016)
  Yusheng Xie et al.
  —
• Variational Bayesian Optimal Experimental Design (2019)
  Adam Foster et al.
  —
• Variational Inference and Bayesian CNNs for Uncertainty Estimation in Multi-Factorial Bone Age Prediction (2020)
  Stefan Eggenreich et al.
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• Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women (2020)
  Marzieh Ajirak et al.
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• Variational Model Merging for Pareto Front Estimation in Multitask Finetuning (2024)
  Hugo Monz\'on Maldonado et al.
  —