All Stories

  1. Optimal Thinning of MCMC Output
  2. An open repository of real-time COVID-19 indicators
  3. DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation
  4. An Open Repository of Real-Time COVID-19 Indicators
  5. Opportunities and Challenges for Analyzing Cancer Data at the Inter- and Intra-Institutional Levels
  6. Bayesian seismic inversion: Measuring Langevin MCMC sample quality with kernels
  7. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
  8. Measuring sample quality with diffusions
  9. Beyond a Binary Classification of Sex: An Examination of Brain Sex Differentiation, Psychopathology, and Genotype
  10. Improving Subseasonal Forecasting in the Western U.S. with Machine Learning
  11. Stratification of amyotrophic lateral sclerosis patients: a crowdsourcing approach
  12. A multifactorial model of T cell expansion and durable clinical benefit in response to a PD-L1 inhibitor
  13. S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts
  14. Expert identification of visual primitives used by CNNs during mammogram classification
  15. A Multifactorial Model of T Cell Expansion and Durable Clinical Benefit in Response to a PD-L1 Inhibitor
  16. Empirical Bayesian analysis of simultaneous changepoints in multiple data sequences
  17. Predicting patient ‘cost blooms’ in Denmark: a longitudinal population-based study
  18. Image Processing, Computer Vision, and Deep Learning: new approaches to the analysis and physics interpretation of LHC events
  19. Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets
  20. Efron–Stein inequalities for random matrices
  21. Jet-images — deep learning edition
  22. Fuzzy jets
  23. Boosted Jet Tagging with Jet-Images and Deep Neural Networks
  24. Multivariate Stein factors for a class of strongly log-concave distributions
  25. Erratum: Multivariate Stein factors for a class of strongly log-concave distributions
  26. Combinatorial Clustering and the Beta Negative Binomial Process
  27. Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression
  28. Matrix concentration inequalities via the method of exchangeable pairs
  29. Joint Link Prediction and Attribute Inference Using a Social-Attribute Network
  30. Corrupted Sensing: Novel Guarantees for Separating Structured Signals
  31. Distributed Low-Rank Subspace Segmentation
  32. The asymptotics of ranking algorithms
  33. Matrix Concentration Inequalities via the Method of Exchangeable Pairs
  34. Visually Relating Gene Expression and in vivo DNA Binding Data
  35. Fault-tolerant typed assembly language
  36. Fault-tolerant typed assembly language
  37. Static typing for a faulty lambda calculus
  38. Participatory design with proxies
  39. Static typing for a faulty lambda calculus