Regression Trees Know Calculus

22 May 2024

Papers citing "Regression Trees Know Calculus"

16 / 16 papers shown

Title
Physics-informed neural networks (PINNs) for fluid mechanics: A review Shengze Cai Zhiping Mao Zhicheng Wang Minglang Yin George Karniadakis PINN AI4CE 34 1,152 0 20 May 2021
Nonparametric Variable Screening with Optimal Decision Stumps Jason M. Klusowski Peter M. Tian 46 4 0 05 Nov 2020
True to the Model or True to the Data? Hugh Chen Joseph D. Janizek Scott M. Lundberg Su-In Lee TDI FAtt 88 166 0 29 Jun 2020
Sequential Learning of Active Subspaces Nathan Wycoff M. Binois Stefan M. Wild 19 29 0 26 Jul 2019
A Debiased MDI Feature Importance Measure for Random Forests Xiao Li Yu Wang Sumanta Basu Karl Kumbier Bin Yu 146 82 0 26 Jun 2019
Explainable AI for Trees: From Local Explanations to Global Understanding Scott M. Lundberg G. Erion Hugh Chen A. DeGrave J. Prutkin B. Nair R. Katz J. Himmelfarb N. Bansal Su-In Lee FAtt 86 286 0 11 May 2019
Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance Giles Hooker L. Mentch Siyu Zhou 55 156 0 01 May 2019
Deep active subspaces - a scalable method for high-dimensional uncertainty propagation Rohit Tripathy Ilias Bilionis 33 12 0 27 Feb 2019
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry Kevin McCloskey Ankur Taly Federico Monti M. Brenner Lucy J. Colwell 40 85 0 27 Nov 2018
Deep Learning of Vortex Induced Vibrations M. Raissi Zhicheng Wang M. Triantafyllou George Karniadakis AI4CE 36 373 0 26 Aug 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 538 21,613 0 22 May 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 115 5,920 0 04 Mar 2017
Machine Learning of Linear Differential Equations using Gaussian Processes M. Raissi George Karniadakis 46 544 0 10 Jan 2017
Interpretation of Prediction Models Using the Input Gradient Yotam Hechtlinger FaML AI4CE FAtt 32 85 0 23 Nov 2016
Understanding Random Forests: From Theory to Practice Gilles Louppe 75 739 0 28 Jul 2014
Variable importance in binary regression trees and forests H. Ishwaran 147 385 0 15 Nov 2007