Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networksby Christian Moya, Amirhossein Mollaali,…
Statistical Agnostic Regression: a machine learning method to validate regression modelsby Juan M Gorriz, J.…
Smoothness Adaptive Hypothesis Transfer Learningby Haotian Lin, Matthew ReimherrFirst submitted to arxiv on: 22 Feb…
Cameras as Rays: Pose Estimation via Ray Diffusionby Jason Y. Zhang, Amy Lin, Moneish Kumar,…
OmniPred: Language Models as Universal Regressorsby Xingyou Song, Oscar Li, Chansoo Lee, Bangding Yang, Daiyi…
Efficient Normalized Conformal Prediction and Uncertainty Quantification for Anti-Cancer Drug Sensitivity Prediction with Deep Regression…
Computational-Statistical Gaps for Improper Learning in Sparse Linear Regressionby Rares-Darius Buhai, Jingqiu Ding, Stefan TiegelFirst…
A Temporal Stochastic Bias Correction using a Machine Learning Attention modelby Omer Nivron, Damon J.…
Probabilistic Neural Networks (PNNs) for Modeling Aleatoric Uncertainty in Scientific Machine Learningby Farhad Pourkamali-Anaraki, Jamal…
AI-Powered Predictions for Electricity Load in Prosumer Communitiesby Aleksei Kychkin, Georgios C. ChasparisFirst submitted to…