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. 2505.17761
  4. Cited By

Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models

23 May 2025
Benjamin Walker
Lingyi Yang
Nicola Muca Cirone
C. Salvi
Terry Lyons
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models"

4 / 4 papers shown
Title
Towards Scalable and Stable Parallelization of Nonlinear RNNs
Towards Scalable and Stable Parallelization of Nonlinear RNNs
Xavier Gonzalez
Andrew Warrington
Jimmy T.H. Smith
Scott W. Linderman
285
11
0
17 Jan 2025
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
Riccardo Grazzi
Julien N. Siems
Jörg Franke
Arber Zela
Frank Hutter
Massimiliano Pontil
208
26
0
19 Nov 2024
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Yu Sun
Xinhao Li
Karan Dalal
Jiarui Xu
Arjun Vikram
...
Xinlei Chen
Xiaolong Wang
Sanmi Koyejo
Tatsunori Hashimoto
Carlos Guestrin
131
113
0
05 Jul 2024
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes
Georg Manten
Cecilia Casolo
E. Ferrucci
Søren Wengel Mogensen
C. Salvi
Niki Kilbertus
CMLBDL
244
12
0
28 Feb 2024
1