ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2503.01314
  4. Cited By

Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches

3 March 2025
Yifang Chen
Xuyang Guo
Xiaoyu Li
Yingyu Liang
Zhenmei Shi
Zhao-quan Song
ArXivPDFHTML

Papers citing "Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches"

2 / 2 papers shown
Title
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
Jiangxuan Long
Zhao-quan Song
Chiwun Yang
AI4TS
65
0
0
18 Mar 2025
Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows
Chengyue Gong
Xiaoyu Li
Yingyu Liang
Jiangxuan Long
Zhenmei Shi
Zhao-quan Song
Yu Tian
48
3
0
12 Mar 2025
1