MambaTab: A Plug-and-Play Model for Learning Tabular Data
Fuente:
arXiv
Saved in:
| Main Authors: | Ahamed, Md Atik, Cheng, Qiang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
by: Ahamed, Md Atik, et al.
Published: (2024)
by: Ahamed, Md Atik, et al.
Published: (2024)
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
by: Ahamed, Md Atik, et al.
Published: (2024)
by: Ahamed, Md Atik, et al.
Published: (2024)
RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation
by: Ahamed, Md Atik, et al.
Published: (2025)
by: Ahamed, Md Atik, et al.
Published: (2025)
MolSnap: Snap-Fast Molecular Generation with Latent Variational Mean Flow
by: Ahamed, Md Atik, et al.
Published: (2025)
by: Ahamed, Md Atik, et al.
Published: (2025)
Mol-CADiff: Causality-Aware Autoregressive Diffusion for Molecule Generation
by: Ahamed, Md Atik, et al.
Published: (2025)
by: Ahamed, Md Atik, et al.
Published: (2025)
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
by: Ahamed, Md Atik, et al.
Published: (2025)
by: Ahamed, Md Atik, et al.
Published: (2025)
TabNSA: Native Sparse Attention for Efficient Tabular Data Learning
by: Eslamian, Ali, et al.
Published: (2025)
by: Eslamian, Ali, et al.
Published: (2025)
TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network
by: Eslamian, Ali, et al.
Published: (2025)
by: Eslamian, Ali, et al.
Published: (2025)
TabPFGen -- Tabular Data Generation with TabPFN
by: Ma, Junwei, et al.
Published: (2024)
by: Ma, Junwei, et al.
Published: (2024)
TabDDPM: Modelling Tabular Data with Diffusion Models
by: Kotelnikov, Akim, et al.
Published: (2022)
by: Kotelnikov, Akim, et al.
Published: (2022)
Plug-and-Play AMC: Context Is King in Training-Free, Open-Set Modulation with LLMs
by: Rostami, Mohammad, et al.
Published: (2025)
by: Rostami, Mohammad, et al.
Published: (2025)
CardioTabNet: A Novel Hybrid Transformer Model for Heart Disease Prediction using Tabular Medical Data
by: Sumon, Md. Shaheenur Islam, et al.
Published: (2025)
by: Sumon, Md. Shaheenur Islam, et al.
Published: (2025)
ReTabSyn: Realistic Tabular Data Synthesis via Reinforcement Learning
by: Lin, Xiaofeng, et al.
Published: (2026)
by: Lin, Xiaofeng, et al.
Published: (2026)
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
by: Arazi, Alan, et al.
Published: (2025)
by: Arazi, Alan, et al.
Published: (2025)
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
by: Qu, Jingang, et al.
Published: (2025)
by: Qu, Jingang, et al.
Published: (2025)
TabQL: In-Context Q-Learning with Tabular Foundation Models
by: Liu, Qisai, et al.
Published: (2026)
by: Liu, Qisai, et al.
Published: (2026)
Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models
by: Somvanshi, Shriyank, et al.
Published: (2025)
by: Somvanshi, Shriyank, et al.
Published: (2025)
TabArena: A Living Benchmark for Machine Learning on Tabular Data
by: Erickson, Nick, et al.
Published: (2025)
by: Erickson, Nick, et al.
Published: (2025)
MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
by: Sinodinos, Dimitrios, et al.
Published: (2025)
by: Sinodinos, Dimitrios, et al.
Published: (2025)
TabStruct: Measuring Structural Fidelity of Tabular Data
by: Jiang, Xiangjian, et al.
Published: (2025)
by: Jiang, Xiangjian, et al.
Published: (2025)
TabDPT: Scaling Tabular Foundation Models on Real Data
by: Ma, Junwei, et al.
Published: (2024)
by: Ma, Junwei, et al.
Published: (2024)
Reasoning-Aware Training for Time Series Forecasting
by: Ahamed, Md Atik, et al.
Published: (2026)
by: Ahamed, Md Atik, et al.
Published: (2026)
Federated Learning for Tabular Data using TabNet: A Vehicular Use-Case
by: Lindskog, William, et al.
Published: (2024)
by: Lindskog, William, et al.
Published: (2024)
TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
by: Shi, Juntong, et al.
Published: (2024)
by: Shi, Juntong, et al.
Published: (2024)
TabText: Language-Based Representations of Tabular Health Data for Predictive Modelling
by: Carballo, Kimberly Villalobos, et al.
Published: (2022)
by: Carballo, Kimberly Villalobos, et al.
Published: (2022)
Momentum Guidance: Plug-and-Play Guidance for Flow Models
by: Liao, Runlong, et al.
Published: (2026)
by: Liao, Runlong, et al.
Published: (2026)
TabSCM: A practical Framework for Generating Realistic Tabular Data
by: Jacob, Sven, et al.
Published: (2026)
by: Jacob, Sven, et al.
Published: (2026)
TabImpute: Universal Zero-Shot Imputation for Tabular Data
by: Feitelberg, Jacob, et al.
Published: (2025)
by: Feitelberg, Jacob, et al.
Published: (2025)
TabReason: A Reinforcement Learning-Enhanced Reasoning LLM for Explainable Tabular Data Prediction
by: Xu, Tommy, et al.
Published: (2025)
by: Xu, Tommy, et al.
Published: (2025)
TabKANet: Tabular Data Modeling with Kolmogorov-Arnold Network and Transformer
by: Gao, Weihao, et al.
Published: (2024)
by: Gao, Weihao, et al.
Published: (2024)
Tab-TRM: Tiny Recursive Model for Insurance Pricing on Tabular Data
by: Padayachy, Kishan, et al.
Published: (2026)
by: Padayachy, Kishan, et al.
Published: (2026)
TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data
by: Chen, Suiyao, et al.
Published: (2024)
by: Chen, Suiyao, et al.
Published: (2024)
Applying MambaAttention, TabPFN, and TabTransformers to Classify SAE Automation Levels in Crashes
by: Somvanshi, Shriyank, et al.
Published: (2025)
by: Somvanshi, Shriyank, et al.
Published: (2025)
TabChange: Precise Attribute Changes in Tabular Data
by: Dahal, Arjun, et al.
Published: (2026)
by: Dahal, Arjun, et al.
Published: (2026)
InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation
by: Si, Jacob, et al.
Published: (2024)
by: Si, Jacob, et al.
Published: (2024)
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering
by: Habib, Al Zadid Sultan Bin, et al.
Published: (2024)
by: Habib, Al Zadid Sultan Bin, et al.
Published: (2024)
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation
by: Sattarov, Timur, et al.
Published: (2024)
by: Sattarov, Timur, et al.
Published: (2024)
TabFlex: Scaling Tabular Learning to Millions with Linear Attention
by: Zeng, Yuchen, et al.
Published: (2025)
by: Zeng, Yuchen, et al.
Published: (2025)
TabClustPFN: A Prior-Fitted Network for Tabular Data Clustering
by: Zhao, Tianqi, et al.
Published: (2026)
by: Zhao, Tianqi, et al.
Published: (2026)
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
by: Wu, Jing, et al.
Published: (2024)
by: Wu, Jing, et al.
Published: (2024)
Similar Items
-
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
by: Ahamed, Md Atik, et al.
Published: (2024) -
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
by: Ahamed, Md Atik, et al.
Published: (2024) -
RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation
by: Ahamed, Md Atik, et al.
Published: (2025) -
MolSnap: Snap-Fast Molecular Generation with Latent Variational Mean Flow
by: Ahamed, Md Atik, et al.
Published: (2025) -
Mol-CADiff: Causality-Aware Autoregressive Diffusion for Molecule Generation
by: Ahamed, Md Atik, et al.
Published: (2025)