Image de couverture de livre

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kumar, Manish, Thielmann, Anton Frederik, Weisser, Christoph, Säfken, Benjamin
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Mambular: A Sequential Model for Tabular Deep Learning
par: Thielmann, Anton Frederik, et autres
Publié: (2024)

On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning
par: Thielmann, Anton Frederik, et autres
Publié: (2024)

Probabilistic Topic Modelling with Transformer Representations
par: Reuter, Arik, et autres
Publié: (2024)

Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean
par: Thielmann, Anton, et autres
Publié: (2023)

EviNAM: Intelligibility and Uncertainty via Evidential Neural Additive Models
par: Schleibaum, Sören, et autres
Publié: (2026)

Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks
par: Thielmann, Anton, et autres
Publié: (2025)

GPTopic: Dynamic and Interactive Topic Representations
par: Reuter, Arik, et autres
Publié: (2024)

Free-Knots Kolmogorov-Arnold Network: On the Analysis of Spline Knots and Advancing Stability
par: Zheng, Liangwewi Nathan, et autres
Publié: (2025)

Neural Additive Image Model: Interpretation through Interpolation
par: Reuter, Arik, et autres
Publié: (2024)

BEAST: Efficient Tokenization of B-Splines Encoded Action Sequences for Imitation Learning
par: Zhou, Hongyi, et autres
Publié: (2025)

Improving Deep Tabular Learning
par: Sarafian, Sivan, et autres
Publié: (2025)

Adaptive Bayesian Multivariate Spline Knot Inference with Prior Specifications on Model Complexity
par: He, Junhui, et autres
Publié: (2024)

Spline Dimensional Decomposition with Interpolation-based Optimal Knot Selection for Stochastic Dynamic Analysis
par: Kim, Yeonsu, et autres
Publié: (2025)

A Survey on Deep Tabular Learning
par: Somvanshi, Shriyank, et autres
Publié: (2024)

Tabular Learning: Encoding for Entity and Context Embeddings
par: Reusser, Fredy
Publié: (2024)

Splines-Based Feature Importance in Kolmogorov-Arnold Networks: A Framework for Supervised Tabular Data Dimensionality Reduction
par: Akazan, Ange-Clément, et autres
Publié: (2025)

Benchmarking Optimizers for MLPs in Tabular Deep Learning
par: Gorishniy, Yury, et autres
Publié: (2026)

Tab-PET: Graph-Based Positional Encodings for Tabular Transformers
par: Leng, Yunze, et autres
Publié: (2025)

From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models
par: Wen, Xumeng, et autres
Publié: (2023)

Tabular and Deep Learning for the Whittle Index
par: Relaño, Francisco Robledo, et autres
Publié: (2024)

A Closer Look at Deep Learning Methods on Tabular Datasets
par: Ye, Han-Jia, et autres
Publié: (2024)

Tabular and Deep Reinforcement Learning for Gittins Index
par: Dhankhar, Harshit, et autres
Publié: (2024)

Iterative Feature Exclusion Ranking for Deep Tabular Learning
par: Shaninah, Fathi Said Emhemed, et autres
Publié: (2024)

Unveiling the Role of Data Uncertainty in Tabular Deep Learning
par: Kartashev, Nikolay, et autres
Publié: (2025)

TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases
par: Simonetto, Thibault, et autres
Publié: (2024)

Attention-Based Deep Learning for Early Parkinson's Disease Detection with Tabular Biomedical Data
par: Oseni, Olamide Samuel, et autres
Publié: (2026)

LLM Embeddings for Deep Learning on Tabular Data
par: Koloski, Boshko, et autres
Publié: (2025)

The Role of Feature Interactions in Graph-based Tabular Deep Learning
par: Dubbeldam, Elias, et autres
Publié: (2025)

Cross-Domain Offshore Wind Power Forecasting: Transfer Learning Through Meteorological Clusters
par: Weisser, Dominic, et autres
Publié: (2026)

Beyond Rigid Geometries: The Spline-Pullback Metric for Universal Diffeomorphic SPD Representation Learning
par: Das, Tushar, et autres
Publié: (2026)

LLM-Augmented Changepoint Detection: A Framework for Ensemble Detection and Automated Explanation
par: Lukassen, Fabian, et autres
Publié: (2026)

Deep Learning with Tabular Data: A Self-supervised Approach
par: Vyas, Tirth Kiranbhai
Publié: (2024)

TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression
par: Madhusudhanan, Kiran, et autres
Publié: (2025)

Tabular Data: Is Deep Learning all you need?
par: Zabërgja, Guri, et autres
Publié: (2024)

Deep Learning for School Dropout Detection: A Comparison of Tabular and Graph-Based Models for Predicting At-Risk Students
par: Almeida, Pablo G., et autres
Publié: (2025)

TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
par: Gorishniy, Yury, et autres
Publié: (2024)

Boosting Relational Deep Learning with Pretrained Tabular Models
par: Lachi, Veronica, et autres
Publié: (2025)

Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning
par: Rabbani, Shourav B., et autres
Publié: (2023)

Trajectory-Based Difficulty Scoring for Reliable Learning on Tabular Data
par: Lavi, Tomer, et autres
Publié: (2026)

Universal Embeddings of Tabular Data
par: Franz, Astrid, et autres
Publié: (2025)