TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Madhusudhanan, Kiran, Yalavarthi, Vijaya Krishna, Sonntag, Jonas, Stubbemann, Maximilian, Schmidt-Thieme, Lars |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
by: Madhusudhanan, Kiran, et al.
Published: (2024)
by: Madhusudhanan, Kiran, et al.
Published: (2024)
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
by: Klötergens, Christian, et al.
Published: (2024)
by: Klötergens, Christian, et al.
Published: (2024)
Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024)
Probabilistic Circuits for Irregular Multivariate Time Series Forecasting
by: Klötergens, Christian, et al.
Published: (2026)
by: Klötergens, Christian, et al.
Published: (2026)
Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting?
by: Abdelmalak, Ibram, et al.
Published: (2025)
by: Abdelmalak, Ibram, et al.
Published: (2025)
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs
by: Klötergens, Christian, et al.
Published: (2025)
by: Klötergens, Christian, et al.
Published: (2025)
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting
by: Madhusudhanan, Kiran, et al.
Published: (2024)
by: Madhusudhanan, Kiran, et al.
Published: (2024)
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training
by: Burchert, Johannes, et al.
Published: (2024)
by: Burchert, Johannes, et al.
Published: (2024)
The Role of Active Learning in Modern Machine Learning
by: Werner, Thorben, et al.
Published: (2025)
by: Werner, Thorben, et al.
Published: (2025)
HPMixer: Hierarchical Patching for Multivariate Time Series Forecasting
by: Choi, Jung Min, et al.
Published: (2026)
by: Choi, Jung Min, et al.
Published: (2026)
NPMixer: Hierarchical Neighboring Patch Mixing for Time Series Forecasting
by: Choi, Jung Min, et al.
Published: (2026)
by: Choi, Jung Min, et al.
Published: (2026)
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2022)
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2022)
Valid and Expressive Copulas for Irregular Multivariate Time Series
by: Klötergens, Christian, et al.
Published: (2026)
by: Klötergens, Christian, et al.
Published: (2026)
Mixing It Up: Exploring Mixer Networks for Irregular Multivariate Time Series Forecasting
by: Klötergens, Christian, et al.
Published: (2025)
by: Klötergens, Christian, et al.
Published: (2025)
Distributional Regression with Tabular Foundation Models: Evaluating Probabilistic Predictions via Proper Scoring Rules
by: Landsgesell, Jonas, et al.
Published: (2026)
by: Landsgesell, Jonas, et al.
Published: (2026)
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
by: Wielopolski, Patryk, et al.
Published: (2024)
by: Wielopolski, Patryk, et al.
Published: (2024)
A Cross-Domain Benchmark for Active Learning
by: Werner, Thorben, et al.
Published: (2024)
by: Werner, Thorben, et al.
Published: (2024)
Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
by: Rehman, Danyal, et al.
Published: (2025)
by: Rehman, Danyal, et al.
Published: (2025)
ConTextTab: A Semantics-Aware Tabular In-Context Learner
by: Spinaci, Marco, et al.
Published: (2025)
by: Spinaci, Marco, et al.
Published: (2025)
TabKD: Tabular Knowledge Distillation through Interaction Diversity of Learned Feature Bins
by: Pereira, Shovon Niverd, et al.
Published: (2026)
by: Pereira, Shovon Niverd, et al.
Published: (2026)
NormTab: Improving Symbolic Reasoning in LLMs Through Tabular Data Normalization
by: Nahid, Md Mahadi Hasan, et al.
Published: (2024)
by: Nahid, Md Mahadi Hasan, et al.
Published: (2024)
Wave-Mask/Mix: Exploring Wavelet-Based Augmentations for Time Series Forecasting
by: Arabi, Dona, et al.
Published: (2024)
by: Arabi, Dona, et al.
Published: (2024)
TabDPT: Scaling Tabular Foundation Models on Real Data
by: Ma, Junwei, et al.
Published: (2024)
by: Ma, Junwei, et al.
Published: (2024)
Diffusion and Flow Matching Models for Tabular Data: A Survey
by: Li, Zhong, et al.
Published: (2025)
by: Li, Zhong, et al.
Published: (2025)
NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows
by: Tarasov, Denis, et al.
Published: (2025)
by: Tarasov, Denis, 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)
TabChange: Precise Attribute Changes in Tabular Data
by: Dahal, Arjun, et al.
Published: (2026)
by: Dahal, Arjun, et al.
Published: (2026)
FlowPG: Action-constrained Policy Gradient with Normalizing Flows
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2024)
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2024)
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
by: Hille, Tobias, et al.
Published: (2024)
by: Hille, Tobias, et al.
Published: (2024)
Moco: A Learnable Meta Optimizer for Combinatorial Optimization
by: Dernedde, Tim, et al.
Published: (2024)
by: Dernedde, Tim, et al.
Published: (2024)
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)
Open-Source Reproduction and Explainability Analysis of Corrective Retrieval Augmented Generation
by: Yalavarthi, Surya Vardhan
Published: (2026)
by: Yalavarthi, Surya Vardhan
Published: (2026)
AntibodyFlow: Normalizing Flow Model for Designing Antibody Complementarity-Determining Regions
by: Xu, Bohao, et al.
Published: (2024)
by: Xu, Bohao, et al.
Published: (2024)
FlowPure: Continuous Normalizing Flows for Adversarial Purification
by: Collaert, Elias, et al.
Published: (2025)
by: Collaert, Elias, et al.
Published: (2025)
Amortized Sampling with Transferable Normalizing Flows
by: Tan, Charlie B., et al.
Published: (2025)
by: Tan, Charlie B., et al.
Published: (2025)
Knowledge Graph Embedding by Normalizing Flows
by: Xiao, Changyi, et al.
Published: (2024)
by: Xiao, Changyi, et al.
Published: (2024)
TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data
by: Jiang, Changjiang, et al.
Published: (2025)
by: Jiang, Changjiang, et al.
Published: (2025)
TabSieve: Explicit In-Table Evidence Selection for Tabular Prediction
by: Wang, Yongyao, et al.
Published: (2026)
by: Wang, Yongyao, et al.
Published: (2026)
Efficient Paths and Dense Rewards: Probabilistic Flow Reasoning for Large Language Models
by: Liu, Yan, et al.
Published: (2026)
by: Liu, Yan, et al.
Published: (2026)
Similar Items
-
ProbSAINT: Probabilistic Tabular Regression for Used Car Pricing
by: Madhusudhanan, Kiran, et al.
Published: (2024) -
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting
by: Klötergens, Christian, et al.
Published: (2024) -
Marginalization Consistent Probabilistic Forecasting of Irregular Time Series via Mixture of Separable flows
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024) -
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
by: Yalavarthi, Vijaya Krishna, et al.
Published: (2024) -
Probabilistic Circuits for Irregular Multivariate Time Series Forecasting
by: Klötergens, Christian, et al.
Published: (2026)