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State-space Models with Layer-wise Nonlinearity are Universal
  Approximators with Exponential Decaying Memory

State-space Models with Layer-wise Nonlinearity are Universal Approximators with Exponential Decaying Memory

23 September 2023
Shida Wang
Beichen Xue
ArXivPDFHTML

Papers citing "State-space Models with Layer-wise Nonlinearity are Universal Approximators with Exponential Decaying Memory"

19 / 19 papers shown
Title
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN
Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN
Enqi Zhang
MQ
71
0
0
24 Apr 2025
Tuning Frequency Bias of State Space Models
Tuning Frequency Bias of State Space Models
Annan Yu
Dongwei Lyu
S. H. Lim
Michael W. Mahoney
N. Benjamin Erichson
33
1
0
02 Oct 2024
Analog In-Memory Computing Attention Mechanism for Fast and
  Energy-Efficient Large Language Models
Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models
Nathan Leroux
Paul-Philipp Manea
Chirag Sudarshan
Jan Finkbeiner
Sebastian Siegel
J. Strachan
Emre Neftci
26
1
0
28 Sep 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for
  Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Yibo Yang
Jianlong Wu
Bernard Ghanem
Liqiang Nie
Min Zhang
Mamba
36
5
0
08 Jul 2024
Exploring Adversarial Robustness of Deep State Space Models
Exploring Adversarial Robustness of Deep State Space Models
Biqing Qi
Yang Luo
Junqi Gao
Pengfei Li
Kai Tian
Zhiyuan Ma
Bowen Zhou
AAML
38
1
0
08 Jun 2024
Learning Long Range Dependencies on Graphs via Random Walks
Learning Long Range Dependencies on Graphs via Random Walks
Dexiong Chen
Till Hendrik Schulz
Karsten Borgwardt
24
2
0
05 Jun 2024
LongSSM: On the Length Extension of State-space Models in Language
  Modelling
LongSSM: On the Length Extension of State-space Models in Language Modelling
Shida Wang
27
0
0
04 Jun 2024
Universal In-Context Approximation By Prompting Fully Recurrent Models
Universal In-Context Approximation By Prompting Fully Recurrent Models
Aleksandar Petrov
Tom A. Lamb
Alasdair Paren
Philip H. S. Torr
Adel Bibi
LRM
32
0
0
03 Jun 2024
Understanding the differences in Foundation Models: Attention, State
  Space Models, and Recurrent Neural Networks
Understanding the differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
Jerome Sieber
Carmen Amo Alonso
A. Didier
M. Zeilinger
Antonio Orvieto
AAML
42
7
0
24 May 2024
A finite-sample generalization bound for stable LPV systems
A finite-sample generalization bound for stable LPV systems
Daniel Racz
Martin Gonzalez
M. Petreczky
András A. Benczúr
Bálint Daróczy
16
0
0
16 May 2024
State Space Model for New-Generation Network Alternative to
  Transformers: A Survey
State Space Model for New-Generation Network Alternative to Transformers: A Survey
Xiao Wang
Shiao Wang
Yuhe Ding
Yuehang Li
Wentao Wu
...
Bowei Jiang
Chenglong Li
Yaowei Wang
Yonghong Tian
Jin Tang
Mamba
33
48
0
15 Apr 2024
ZigMa: A DiT-style Zigzag Mamba Diffusion Model
ZigMa: A DiT-style Zigzag Mamba Diffusion Model
Vincent Tao Hu
S. A. Baumann
Ming Gui
Olga Grebenkova
Pingchuan Ma
Johannes S. Fischer
Bjorn Ommer
35
42
0
20 Mar 2024
On the low-shot transferability of [V]-Mamba
On the low-shot transferability of [V]-Mamba
Diganta Misra
Jay Gala
Antonio Orvieto
Mamba
37
1
0
15 Mar 2024
Theoretical Foundations of Deep Selective State-Space Models
Theoretical Foundations of Deep Selective State-Space Models
Nicola Muca Cirone
Antonio Orvieto
Benjamin Walker
C. Salvi
Terry Lyons
Mamba
45
25
0
29 Feb 2024
Graph Mamba: Towards Learning on Graphs with State Space Models
Graph Mamba: Towards Learning on Graphs with State Space Models
Ali Behrouz
Farnoosh Hashemi
AI4CE
104
58
0
13 Feb 2024
StableSSM: Alleviating the Curse of Memory in State-space Models through
  Stable Reparameterization
StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization
Shida Wang
Qianxiao Li
17
12
0
24 Nov 2023
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
Shida Wang
Zhong Li
Qianxiao Li
17
7
0
30 May 2023
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
88
265
0
11 Mar 2023
How to Train Your HiPPO: State Space Models with Generalized Orthogonal
  Basis Projections
How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections
Albert Gu
Isys Johnson
Aman Timalsina
Atri Rudra
Christopher Ré
Mamba
95
88
0
24 Jun 2022
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