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Towards Scalable and Stable Parallelization of Nonlinear RNNs

Towards Scalable and Stable Parallelization of Nonlinear RNNs

17 January 2025
Xavier Gonzalez
Andrew Warrington
Jimmy T.H. Smith
Scott W. Linderman
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Papers citing "Towards Scalable and Stable Parallelization of Nonlinear RNNs"

7 / 7 papers shown
Title
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications
Ning Xin
Jionglong Su
Md Maruf Hasan
AI4TS
17
0
0
18 Apr 2025
It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
Ali Behrouz
Meisam Razaviyayn
Peilin Zhong
Vahab Mirrokni
31
0
0
17 Apr 2025
Fixed-Point RNNs: From Diagonal to Dense in a Few Iterations
Sajad Movahedi
Felix Sarnthein
Nicola Muca Cirone
Antonio Orvieto
43
2
0
13 Mar 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 K.H. Franke
Arber Zela
Frank Hutter
Massimiliano Pontil
70
10
0
19 Nov 2024
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
Esraa Elelimy
Adam White
Michael H. Bowling
Martha White
OffRL
23
1
0
02 Sep 2024
Resurrecting Recurrent Neural Networks for Long Sequences
Resurrecting Recurrent Neural Networks for Long Sequences
Antonio Orvieto
Samuel L. Smith
Albert Gu
Anushan Fernando
Çağlar Gülçehre
Razvan Pascanu
Soham De
83
258
0
11 Mar 2023
Temporal Parallelization of Bayesian Smoothers
Temporal Parallelization of Bayesian Smoothers
Simo Särkkä
Á. F. García-Fernández
98
39
0
30 May 2019
1