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Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean
27 January 2023
Anton Thielmann
René-Marcel Kruse
Thomas Kneib
Benjamin Säfken
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Papers citing
"Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean"
10 / 10 papers shown
Title
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks
Anton Thielmann
Arik Reuter
Benjamin Saefken
LMTD
72
0
0
11 Apr 2025
Explainable Boosting Machine for Predicting Claim Severity and Frequency in Car Insurance
Markéta Krùpovà
Nabil Rachdi
Quentin Guibert
46
0
0
27 Mar 2025
Leveraging Graph Neural Networks to Forecast Electricity Consumption
Eloi Campagne
Yvenn Amara-Ouali
Y. Goude
Argyris Kalogeratos
AI4TS
32
1
0
30 Aug 2024
Mambular: A Sequential Model for Tabular Deep Learning
Anton Thielmann
Manish Kumar
Christoph Weisser
Arik Reuter
Benjamin Säfken
Soheila Samiee
Mamba
LMTD
73
6
0
12 Aug 2024
Neural Additive Image Model: Interpretation through Interpolation
Arik Reuter
Anton Thielmann
Benjamin Saefken
DiffM
34
1
0
06 Mar 2024
Improving Neural Additive Models with Bayesian Principles
Kouroche Bouchiat
Alexander Immer
Hugo Yèche
Gunnar Rätsch
Vincent Fortuin
BDL
MedIm
31
6
0
26 May 2023
Structural Neural Additive Models: Enhanced Interpretable Machine Learning
Mattias Luber
Anton Thielmann
Benjamin Säfken
31
7
0
18 Feb 2023
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection
James Enouen
Yan Liu
26
19
0
19 Sep 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou
Ziqing Ma
Xue Wang
Qingsong Wen
Liang Sun
Tao Yao
Wotao Yin
Rong Jin
AI4TS
121
170
0
18 May 2022
Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution
Yi Huang
Buse Giledereli
Abdullatif Köksal
Arzucan Özgür
Elif Özkirimli
VLM
39
76
0
10 Sep 2021
1