:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Xiyuan, Maddix, Danielle C., Yin, Junming, Erickson, Nick, Ansari, Abdul Fatir, Han, Boran, Zhang, Shuai, Akoglu, Leman, Faloutsos, Christos, Mahoney, Michael W., Hu, Cuixiong, Rangwala, Huzefa, Karypis, George, Wang, Bernie
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2510.21204
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

When Does Multimodality Lead to Better Time Series Forecasting?
by: Zhang, Xiyuan, et al.
Published: (2025)

Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility
by: Yu, Annan, et al.
Published: (2025)

Understanding the Implicit Biases of Design Choices for Time Series Foundation Models
by: Yu, Annan, et al.
Published: (2025)

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
by: Fang, Haoyang, et al.
Published: (2025)

HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments
by: He, Yongjun, et al.
Published: (2025)

Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization
by: Masserano, Luca, et al.
Published: (2024)

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
by: Zhang, Hengrui, et al.
Published: (2023)

Gradient-Free Generation for Hard-Constrained Systems
by: Cheng, Chaoran, et al.
Published: (2024)

FeatNavigator: Automatic Feature Augmentation on Tabular Data
by: Liang, Jiaming, et al.
Published: (2024)

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes
by: Dai, Zhenwei, et al.
Published: (2025)

Comparing and Contrasting DLWP Backbones on Navier-Stokes and Atmospheric Dynamics
by: Karlbauer, Matthias, et al.
Published: (2024)

OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
by: Kong, Kezhi, et al.
Published: (2024)

Chronos-2: From Univariate to Universal Forecasting
by: Ansari, Abdul Fatir, et al.
Published: (2025)

SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning
by: He, Zelin, et al.
Published: (2026)

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks
by: Tschalzev, Andrej, et al.
Published: (2026)

VIP-COP: Context Optimization for Tabular Foundation Models
by: Chen, Yilong, et al.
Published: (2026)

FoMo-0D: A Foundation Model for Zero-shot Tabular Outlier Detection
by: Shen, Yuchen, et al.
Published: (2024)

OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories
by: Koutras, Christos, et al.
Published: (2024)

From Zero to Hero: Advancing Zero-Shot Foundation Models for Tabular Outlier Detection
by: Ding, Xueying, et al.
Published: (2026)

Efficient Table Retrieval and Understanding with Multimodal Large Language Models
by: Xu, Zhuoyan, et al.
Published: (2026)

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation
by: Fang, Haoyang, et al.
Published: (2026)

Toward Privileged Foundation Models:LUPI for Accelerated and Improved Learning
by: Ding, Xueying, et al.
Published: (2026)

From Demonstrations to Rewards: Alignment Without Explicit Human Preferences
by: Zeng, Siliang, et al.
Published: (2025)

MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection
by: Ding, Xueying, et al.
Published: (2026)

MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization
by: Ou, Jiefu, et al.
Published: (2026)

AutoG: Towards automatic graph construction from tabular data
by: Chen, Zhikai, et al.
Published: (2025)

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases
by: Lee, Meng-Chieh, et al.
Published: (2024)

Generative Modeling with Flow-Guided Density Ratio Learning
by: Heng, Alvin, et al.
Published: (2023)

Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers
by: Wang, Yingheng, et al.
Published: (2024)

Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
by: Cen, Zhepeng, et al.
Published: (2024)

AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents
by: Yang, Ke, et al.
Published: (2024)

CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection
by: Wen, Haomin, et al.
Published: (2025)

Fast Unsupervised Deep Outlier Model Selection with Hypernetworks
by: Ding, Xueying, et al.
Published: (2023)

Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors
by: Ding, Xueying, et al.
Published: (2024)

Self-Tuning Self-Supervised Image Anomaly Detection
by: Yoo, Jaemin, et al.
Published: (2023)

Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
by: Zhao, Lingxiao, et al.
Published: (2024)

Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety Detection
by: Deshpande, Vijeta, et al.
Published: (2026)

Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting
by: Kayaalp, Mert, et al.
Published: (2025)

GraphStorm: all-in-one graph machine learning framework for industry applications
by: Zheng, Da, et al.
Published: (2024)

fev-bench: A Realistic Benchmark for Time Series Forecasting
by: Shchur, Oleksandr, et al.
Published: (2025)