New arXiv paper proposes a distributionally robust framework for survival analysis that jointly handles latent subpopulation shift and outlier contamination via outer minimization and inner maximization. Relevant for AI…

#SurvivalAnalysis #RobustML #DistributionAI
https://arxiv.org/abs/2610.02868

Time series forecasting benchmarks often miss real-world failure modes by relying on Gaussian noise or simple perturbations instead of structured, scenario-grounded stress tests. The rise of TSF…

#TimeSeriesForecasting #Benchmarking #AIInfrastructure #RobustML
https://arxiv.org/abs/2610.02608