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Sparse Neural Additive Model: Interpretable Deep Learning with Feature
  Selection via Group Sparsity

Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity

25 February 2022
Shiyun Xu
Zhiqi Bu
Pratik Chaudhari
Ian J. Barnett
ArXivPDFHTML

Papers citing "Sparse Neural Additive Model: Interpretable Deep Learning with Feature Selection via Group Sparsity"

14 / 14 papers shown
Title
dnamite: A Python Package for Neural Additive Models
Mike Van Ness
Madeleine Udell
41
0
0
06 Mar 2025
HRR: Hierarchical Retrospection Refinement for Generated Image Detection
HRR: Hierarchical Retrospection Refinement for Generated Image Detection
Peipei Yuan
Zijing Xie
Shuo Ye
Hong Chen
Yulong Wang
DiffM
143
1
0
25 Feb 2025
A Hessian-informed hyperparameter optimization for differential learning rate
A Hessian-informed hyperparameter optimization for differential learning rate
Shiyun Xu
Zhiqi Bu
Yiliang Zhang
Ian J. Barnett
39
1
0
12 Jan 2025
Generalized Sparse Additive Model with Unknown Link Function
Generalized Sparse Additive Model with Unknown Link Function
Peipei Yuan
Xinge You
H. Chen
Xuelin Zhang
Qinmu Peng
52
0
0
08 Oct 2024
GAMformer: In-Context Learning for Generalized Additive Models
GAMformer: In-Context Learning for Generalized Additive Models
Andreas Mueller
Julien N. Siems
Harsha Nori
David Salinas
Arber Zela
Rich Caruana
Frank Hutter
AI4CE
31
3
0
06 Oct 2024
Explainable Interface for Human-Autonomy Teaming: A Survey
Explainable Interface for Human-Autonomy Teaming: A Survey
Xiangqi Kong
Yang Xing
Antonios Tsourdos
Ziyue Wang
Weisi Guo
Adolfo Perrusquía
Andreas Wikander
35
3
0
04 May 2024
Interpretable Prediction and Feature Selection for Survival Analysis
Interpretable Prediction and Feature Selection for Survival Analysis
Mike Van Ness
Madeleine Udell
34
2
0
23 Apr 2024
Regionally Additive Models: Explainable-by-design models minimizing
  feature interactions
Regionally Additive Models: Explainable-by-design models minimizing feature interactions
Vasilis Gkolemis
Anargiros Tzerefos
Theodore Dalamagas
Eirini Ntoutsi
Christos Diou
FAtt
22
2
0
21 Sep 2023
Discovering interpretable elastoplasticity models via the neural
  polynomial method enabled symbolic regressions
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions
B. Bahmani
H. S. Suh
WaiChing Sun
13
17
0
24 Jul 2023
Interpreting and generalizing deep learning in physics-based problems
  with functional linear models
Interpreting and generalizing deep learning in physics-based problems with functional linear models
Amirhossein Arzani
Lingxiao Yuan
P. Newell
Bei Wang
AI4CE
26
7
0
10 Jul 2023
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
Sparsity in Continuous-Depth Neural Networks
Sparsity in Continuous-Depth Neural Networks
H. Aliee
Till Richter
Mikhail Solonin
I. Ibarra
Fabian J. Theis
Niki Kilbertus
27
10
0
26 Oct 2022
Sparse Interaction Additive Networks via Feature Interaction Detection
  and Sparse Selection
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection
James Enouen
Yan Liu
21
19
0
19 Sep 2022
A Differential Equation for Modeling Nesterov's Accelerated Gradient
  Method: Theory and Insights
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
97
1,151
0
04 Mar 2015
1