Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Rethinking Time Encoding via Learnable Transformation Functions
Cover Image

Rethinking Time Encoding via Learnable Transformation Functions

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Chen, Xi, Tang, Yateng, Xu, Jiarong, Zhang, Jiawei, Zhang, Siwei, Peng, Sijia, Zheng, Xuehao, Xiong, Yun
Format: Preprint
Published: 2025
Subjects:
Machine Learning
Artificial Intelligence
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2505.00887

Similar Items

  • Unifying Text Semantics and Graph Structures for Temporal Text-attributed Graphs with Large Language Models
    by: Zhang, Siwei, et al.
    Published: (2025)
  • RAPO: Expanding Exploration for LLM Agents via Retrieval-Augmented Policy Optimization
    by: Zhang, Siwei, et al.
    Published: (2026)
  • Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need
    by: Peng, Sijia, et al.
    Published: (2024)
  • Beyond the Pre-Service Horizon: Infusing In-Service Behavior for Improved Financial Risk Forecasting
    by: Liu, Senhao, et al.
    Published: (2025)
  • HELIX: Hybrid Encoding with Learnable Identity and Cross-dimensional Synthesis for Time Series Imputation
    by: Zhang, Fengming, et al.
    Published: (2026)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar