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Hierarchical Neural Additive Models for Interpretable Demand Forecasts

Hierarchical Neural Additive Models for Interpretable Demand Forecasts

Leif Feddersen
Catherine Cleophas
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Papers citing "Hierarchical Neural Additive Models for Interpretable Demand Forecasts"

5 / 5 papers shown
Title
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality
Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality
Pablo Montero-Manso
Rob J. Hyndman
AI4TS
52
138
0
02 Aug 2020
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal
Levi Melnick
Nicholas Frosst
Xuezhou Zhang
Ben Lengerich
R. Caruana
Geoffrey E. Hinton
77
417
0
29 Apr 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim
Sercan O. Arik
Nicolas Loeff
Tomas Pfister
AI4TS
102
1,449
0
19 Dec 2019
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
967
21,815
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.0K
16,931
0
16 Feb 2016

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