Additive models

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Most implemented papers archive 2025-07-28

30 shown of 95 papers with code (252 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Neural Additive Models: Interpretable Machine Learning with Neural Nets
  29 Apr 2020 8 repositories listed Syntology ran 26 of 33 samples · 7 unverified · 14 pointer-only (licence)
  They perform similarly to existing state-of-the-art generalized additive models in accuracy, but are more flexible because they are based on neural nets instead of boosted trees.
• Augmenting Interpretable Models with LLMs during Training
  23 Sep 2022 4 repositories listed Syntology ran 2 of 12 samples · 10 unverified · 10 pointer-only (licence)
  Recent large language models (LLMs) have demonstrated remarkable prediction performance for a growing array of tasks.
• neuralGAM: Explainable generalized additive neural networks with independent neural network training
  8 Jul 2024 2 repositories listed
  In contrast to other Neural Additive Models implementations, in neuralGAM neural networks are trained independently leveraging the local scoring and backfitting algorithms to ensure that the Generalized Additive Model…
• The Intelligible and Effective Graph Neural Additive Networks
  3 Jun 2024 2 repositories listed
  Graph Neural Networks (GNNs) have emerged as the predominant approach for learning over graph-structured data.
• Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
  30 Jun 2022 2 repositories listed
  Machine learning (ML) interpretability techniques can reveal undesirable patterns in data that models exploit to make predictions--potentially causing harms once deployed.
• GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
  19 Apr 2022 2 repositories listed
  The number of information systems (IS) studies dealing with explainable artificial intelligence (XAI) is currently exploding as the field demands more transparency about the internal decision logic of machine learning…
• Fast Sparse Classification for Generalized Linear and Additive Models
  23 Feb 2022 2 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  For fast sparse logistic regression, our computational speed-up over other best-subset search techniques owes to linear and quadratic surrogate cuts for the logistic loss that allow us to efficiently screen features for…
• Fast Interpretable Greedy-Tree Sums
  28 Jan 2022 2 repositories listed
  In such settings, practitioners often use highly interpretable decision tree models, but these suffer from inductive bias against additive structure.
• NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning
  3 Jun 2021 2 repositories listed Syntology ran 9 of 15 samples · 6 unverified · 3 pointer-only (licence)
  Deployment of machine learning models in real high-risk settings (e.
• How Interpretable and Trustworthy are GAMs?
  11 Jun 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Generalized additive models (GAMs) have become a leading modelclass for interpretable machine learning.
• GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions
  16 Mar 2020 2 repositories listed
  The lack of interpretability is an inevitable problem when using neural network models in real applications.
• Semi-Structured Distributional Regression -- Extending Structured Additive Models by Arbitrary Deep Neural Networks and Data Modalities
  13 Feb 2020 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  We propose a general framework to combine structured regression models and deep neural networks into a unifying network architecture.
• Robust Aggregation for Federated Learning
  31 Dec 2019 2 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  We present a robust aggregation approach to make federated learning robust to settings when a fraction of the devices may be sending corrupted updates to the server.
• InterpretML: A Unified Framework for Machine Learning Interpretability
  19 Sep 2019 2 repositories listed
  InterpretML is an open-source Python package which exposes machine learning interpretability algorithms to practitioners and researchers.
• Do Not Trust Additive Explanations
  27 Mar 2019 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  Explainable Artificial Intelligence (XAI)has received a great deal of attention recently.
• Additive Approximations in High Dimensional Nonparametric Regression via the SALSA
  31 Jan 2016 2 repositories listed
  Between non-additive models which often have large variance and first order additive models which have large bias, there has been little work to exploit the trade-off in the middle via additive models of intermediate…
• Adaptive Shrinkage Estimation For Personalized Deep Kernel Regression In Modeling Brain Trajectories
  10 Apr 2025 1 repository listed
  Benchmarking against state-of-the-art statistical and machine learning models -- including linear mixed effects models, generalized additive models, and deep learning methods -- demonstrates the superior predictive…
• Forecasting time series with constraints
  14 Feb 2025 1 repository listed
  Time series forecasting presents unique challenges that limit the effectiveness of traditional machine learning algorithms.
• How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data
  3 Jan 2025 1 repository listed
  Health outcomes depend on complex environmental and sociodemographic factors whose effects change over location and time.
• Interpretable Generalized Additive Models for Datasets with Missing Values
  3 Dec 2024 1 repository listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)
  Many important datasets contain samples that are missing one or more feature values.
• DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models
  8 Nov 2024 1 repository listed
  Most machine learning models for survival analysis are black-box models, limiting their use in healthcare settings where interpretability is paramount.
• Transparent Networks for Multivariate Time Series
  14 Oct 2024 1 repository listed
  Transparent models, which are machine learning models that produce inherently interpretable predictions, are receiving significant attention in high-stakes domains.
• ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning
  7 Oct 2024 1 repository listed
  In this work, we propose a new deep tabular learning method, termed Prototypical Neural Additive Model (ProtoNAM), which introduces prototypes into neural networks in the framework of GAMs.
• A Functional Extension of Semi-Structured Networks
  7 Oct 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Semi-structured networks (SSNs) merge the structures familiar from additive models with deep neural networks, allowing the modeling of interpretable partial feature effects while capturing higher-order non-linearities…
• Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models
  22 Sep 2024 1 repository listed
  To uncover the merits and limitations of these models, this study examines the predictive performance of seven different GAMs in comparison to seven commonly used machine learning models based on a collection of twenty…
• NeurCAM: Interpretable Neural Clustering via Additive Models
  23 Aug 2024 1 repository listed
  Interpretable clustering algorithms aim to group similar data points while explaining the obtained groups to support knowledge discovery and pattern recognition tasks.
• CAT: Interpretable Concept-based Taylor Additive Models
  25 Jun 2024 1 repository listed
  Importantly, it can explain model predictions through high-level concepts that human can understand.
• Efficient mid-term forecasting of hourly electricity load using generalized additive models
  27 May 2024 1 repository listed
  In mid-term load forecasting, capturing the multifaceted characteristics of load, including daily, weekly and annual seasonal patterns, as well as autoregressive effects, weather and holiday impacts, and socio-economic…
• Multi-Level Additive Modeling for Structured Non-IID Federated Learning
  26 May 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  For every mid-level, it learns multiple models each assigned to a subgroup of clients, as clustered FL.
• Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers
  22 May 2024 1 repository listed
  We address the critical challenge of applying feature attribution methods to the transformer architecture, which dominates current applications in natural language processing and beyond.

Syntology lines on 11 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.