{"total":25,"rows":[{"id":"2209.09326","title":"Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection","created":"2022-09-19","cited_by_count":28,"area":null},{"id":"2501.15638","title":"A Comprehensive Survey on Self-Interpretable Neural Networks","created":"2025-01-26","cited_by_count":18,"area":null},{"id":"2305.16905","title":"Improving Neural Additive Models with Bayesian Principles","created":"2023-05-26","cited_by_count":15,"area":null},{"id":"2210.14672","title":"Sparsity in Continuous-Depth Neural Networks","created":"2022-10-26","cited_by_count":10,"area":null},{"id":"2307.13149","title":"Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions","created":"2023-07-24","cited_by_count":10,"area":null},{"id":"2307.04569","title":"Interpreting and generalizing deep learning in physics-based problems with functional linear models","created":"2023-07-10","cited_by_count":9,"area":null},{"id":"2209.15409","title":"Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions","created":"2022-09-30","cited_by_count":7,"area":null},{"id":"2506.09816","title":"Identifiability Challenges in Sparse Linear Ordinary Differential Equations","created":"2025-06-11","cited_by_count":7,"area":null},{"id":"2309.12215","title":"Regionally Additive Models: Explainable-by-design models minimizing feature interactions","created":"2023-09-21","cited_by_count":3,"area":null},{"id":"2509.23898","title":"Differentiable Sparsity via $D$-Gating: Simple and Versatile Structured Penalization","created":"2025-09-28","cited_by_count":3,"area":null},{"id":"2510.21292","title":"Additive Models Explained: A Computational Complexity Approach","created":"2025-10-24","cited_by_count":3,"area":null},{"id":"2404.14689","title":"Interpretable Prediction and Feature Selection for Survival Analysis","created":"2024-04-23","cited_by_count":2,"area":null},{"id":"2405.02583","title":"Explainable Interface for Human-Autonomy Teaming: A Survey","created":"2024-05-04","cited_by_count":2,"area":null},{"id":"2410.10535","title":"Transparent Networks for Multivariate Time Series","created":"2024-10-14","cited_by_count":2,"area":null},{"id":"2604.13332","title":"Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models","created":"2026-04-14","cited_by_count":2,"area":null},{"id":"2410.04560","title":"GAMformer: Bridging Tabular Foundation Models and Interpretable Machine Learning","created":"2024-10-06","cited_by_count":1,"area":null},{"id":"2410.06012","title":"Generalized Sparse Additive Model with Unknown Link Function","created":"2024-10-08","cited_by_count":1,"area":null},{"id":"2501.06954","title":"A Hessian-informed hyperparameter optimization for differential learning rate","created":"2025-01-12","cited_by_count":1,"area":null},{"id":"2602.17530","title":"Provably Explaining Neural Additive Models","created":"2026-02-19","cited_by_count":1,"area":null},{"id":"2502.17862","title":"HRR: Hierarchical Retrospection Refinement for Generated Image Detection","created":"2025-02-25","cited_by_count":0,"area":null},{"id":"2503.07642","title":"dnamite: A Python Package for Neural Additive Models","created":"2025-03-06","cited_by_count":0,"area":null},{"id":"2509.08467","title":"An Interpretable Deep Learning Model for General Insurance Pricing","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2509.23068","title":"Sparse Deep Additive Model with Interactions: Enhancing Interpretability and Predictability","created":"2025-09-27","cited_by_count":0,"area":null},{"id":"2511.11922","title":"Additive Large Language Models for Semi-Structured Text","created":"2025-11-14","cited_by_count":0,"area":null},{"id":"2609.05946","title":"Interpretable and Fair Generalized Additive Neural Networks via Multi-objective Learning","created":"2026-09-05","cited_by_count":0,"area":null}],"next_cursor":null}