Summary of A Causal Graph-enhanced Gaussian Process Regression For Modeling Engine-out Nox, by Shrenik Zinage et al.
A Causal Graph-Enhanced Gaussian Process Regression for Modeling Engine-out NOxby Shrenik Zinage, Ilias Bilionis, Peter…
Summary of A Deep Learning Approach to Estimate Canopy Height and Uncertainty by Integrating Seasonal Optical, Sar and Limited Gedi Lidar Data Over Northern Forests, By Jose B. Castro et al.
A Deep Learning Approach to Estimate Canopy Height and Uncertainty by Integrating Seasonal Optical, SAR…
Summary of Regal: Python Package For Active Learning Of Regression Problems, by Elizaveta Surzhikova and Jonny Proppe
regAL: Python Package for Active Learning of Regression Problemsby Elizaveta Surzhikova, Jonny ProppeFirst submitted to…
Summary of Generalized Resubstitution For Regression Error Estimation, by Diego Marcondes and Ulisses Braga-neto
Generalized Resubstitution for Regression Error Estimationby Diego Marcondes, Ulisses Braga-NetoFirst submitted to arxiv on: 23…
Summary of A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression, by Tin Sum Cheng and Aurelien Lucchi and Anastasis Kratsios and David Belius
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regressionby Tin Sum Cheng, Aurelien…
Summary of An Effective Theory Of Bias Amplification, by Arjun Subramonian et al.
An Effective Theory of Bias Amplificationby Arjun Subramonian, Samuel J. Bell, Levent Sagun, Elvis DohmatobFirst…
Summary of Graph Transformers Dream Of Electric Flow, by Xiang Cheng et al.
Graph Transformers Dream of Electric Flowby Xiang Cheng, Lawrence Carin, Suvrit SraFirst submitted to arxiv…
Summary of Bi-eqno: Generalized Approximate Bayesian Inference with An Equivariant Neural Operator Framework, by Xu-hui Zhou et al.
BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Frameworkby Xu-Hui Zhou, Zhuo-Ran Liu,…
Summary of Interpreting Microbiome Relative Abundance Data Using Symbolic Regression, by Swagatam Haldar et al.
Interpreting Microbiome Relative Abundance Data Using Symbolic Regressionby Swagatam Haldar, Christoph Stein-Thoeringer, Vadim BorisovFirst submitted…
Summary of Using Gpt Models For Qualitative and Quantitative News Analytics in the 2024 Us Presidental Election Process, by Bohdan M. Pavlyshenko
Using GPT Models for Qualitative and Quantitative News Analytics in the 2024 US Presidental Election…