Latest papers

CardsList

19 papers5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

  1. Joint Modeling of Conditional Mean and Variability in Multilevel Functional Data: Application to Postprandial Glucose Trajectories in the AEGIS Study

    Nov 5, 2026Yang Xiao, Francisco Gude, Marcos MatabuenaMixed-Effects ModelsFunctional Data Analysis

  2. Conformal Prediction for Distribution-to-Distribution Regression

    Nov 4, 2026Trung-Khang Tran, Tuan A. Hoang, Viet-Hoang Tran +1Conformal PredictionDistributional Regression

  3. Joint Distributional Copula Regression for Insurance Claim Frequency and Severity via Boosting

    Oct 27, 2026Banghee So, Na ZhangDistributional RegressionCopula Models

  4. Deep Learning for Random Objects in Metric Spaces: Beyond Manifold Assumptions

    Oct 22, 2026Marcos Matabuena, Xiaokai Luo, Oscar Hernan Madrid PadillaNonparametric RegressionDistributional Regression

  5. RiO-DETRv2: Geometry-Aware Uncertainty Modeling Meets Real-Time Oriented Object Detection Transformer

    Oct 21, 2026Zhangchi Hu, Zilong He, Yifan Zhao +6Object DetectionDetection Transformer

  6. Scalable and Adaptive Distribution Regression via Random Features

    Oct 17, 2026Yinsong Wang, Xiao Liu, Yu DingDistributional RegressionRandom Feature Methods

  7. Distributional Regression for Arbitrary Response Variables Using ReLU Neural Networks

    Oct 12, 2026Junpeng Ren, Carlos Misael Madrid Padilla, Oscar Hernan Madrid PadillaDistributional RegressionConditional Distribution Estimation

  8. Generalized Engression Models

    Oct 1, 2026Xinwei Shen, Zijian Guo, Francis BachConditional Distribution EstimationDistributional Regression

  9. Sufficiently Reduced Distributional Regression

    Sep 24, 2026Alexander Henzi, Tiange Liu, Xinwei ShenConditional Distribution EstimationInverse Dimensionality Reduction

  10. PROSWIN: Probabilistic Solar Wind Speed Forecasting Using Deep Distributional Regression From Solar Images

    Sep 22, 2026Daniel Collin, Yuri Shprits, Luca Chiarabini +3Time Series ForecastingDistributional Regression

  11. Generalization Analysis of Transformers in Distribution Regression

    Jun 28, 2026Peilin Liu, Ding-Xuan ZhouNeural Network GeneralizationTransformer Attention

  12. Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression

    May 30, 2026Kwangho Kim, Jisu KimKernel Ridge RegressionDistributional Regression

  13. Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression

    May 2, 2026Yao Du, Shanshan Song, Xiaomeng LiMultimodal Large Language ModelsRL Fine-Tuning

  14. Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context

    Apr 22, 2026Yilun Zhu, Yuan Zhuang, Nikhita Vedula +6Quantile RegressionDistributional Regression

  15. Accurate and Reliable Uncertainty Estimates for Deterministic Predictions Extensions to Under and Overpredictions

    Apr 9, 2026Rileigh Bandy, Enrico Camporeale, Andong Hu +2Distributional RegressionUncertainty Quantification

  16. UQ-SHRED: uncertainty quantification of shallow recurrent decoder networks for sparse sensing via engression

    Apr 1, 2026Mars Liyao Gao, Yuxuan Bao, Amy S. Rude +3Distributional RegressionUncertainty Quantification

  17. Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules

    Mar 9, 2026Jonas Landsgesell, Pascal Knoll, Tizian WenzelTabular Foundation ModelsProper Scoring Rules