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Structural Neural Additive Models: Enhanced Interpretable Machine
  Learning

Structural Neural Additive Models: Enhanced Interpretable Machine Learning

18 February 2023
Mattias Luber
Anton Thielmann
Benjamin Säfken
ArXivPDFHTML

Papers citing "Structural Neural Additive Models: Enhanced Interpretable Machine Learning"

5 / 5 papers shown
Title
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks
Anton Thielmann
Arik Reuter
Benjamin Saefken
LMTD
70
0
0
11 Apr 2025
DNAMite: Interpretable Calibrated Survival Analysis with Discretized
  Additive Models
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models
Mike Van Ness
Billy Block
Madeleine Udell
29
1
0
08 Nov 2024
Explainable Automatic Grading with Neural Additive Models
Explainable Automatic Grading with Neural Additive Models
Aubrey Condor
Z. Pardos
ELM
27
2
0
01 May 2024
Improving Neural Additive Models with Bayesian Principles
Improving Neural Additive Models with Bayesian Principles
Kouroche Bouchiat
Alexander Immer
Hugo Yèche
Gunnar Rätsch
Vincent Fortuin
BDL
MedIm
28
6
0
26 May 2023
Neural Additive Models for Location Scale and Shape: A Framework for
  Interpretable Neural Regression Beyond the Mean
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean
Anton Thielmann
René-Marcel Kruse
Thomas Kneib
Benjamin Säfken
24
12
0
27 Jan 2023
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