Nonlinear Sequence Embedding by Monotone Variational Inequality

J. Zhou, Yao Xie

2/12/2026

No official code found. Best implementation: XSpace2013/LowRankTimeSeriesRecovery (5 stars, last commit 2025-02-27).

Semantic Scholar

Code Implementations(1)

XSpace2013/LowRankTimeSeriesRecoveryCommunity56%

Code release for "Nonlinear Sequence Embedding by Monotone Variational Inequality" (ICLR 2025)

50JuliaFeb 21, 20251 years ago

Similar Papers

Learning Structured Representations by Embedding Class Hierarchy

100% match1 repo32026

Improving Flow Matching by Aligning Flow Divergence

100% match1 repo82026

On Data Manifolds Entailed by Structural Causal Models

Generating Diverse Cooperative Agents by Learning Incompatible Policies

100% match1 repo192026

Advancing Dynamic Sparse Training by Exploring Optimization Opportunities

Learning Graph Invariance by Harnessing Spuriosity

100% match1 repo32026

Cite this paper

@article{zhou2026nonlinear,
  title  = {Nonlinear Sequence Embedding by Monotone Variational Inequality},
  author = {J. Zhou and Yao Xie},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:27eb8d354adf15cde90d02a71e0f0adf73ed3da6},
  journal = {ICLR 2025 2025}
}

Add a badge to your README

Shows whether official code is linked for this paper.

[![Code of Paper](https://codeofpaper.com/badge/27eb8d354adf15cde90d02a71e0f0adf73ed3da6.svg)](https://codeofpaper.com/paper/27eb8d354adf15cde90d02a71e0f0adf73ed3da6)

Discussion