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Robustifying State-space Models for Long Sequences via Approximate
  Diagonalization

Robustifying State-space Models for Long Sequences via Approximate Diagonalization

International Conference on Learning Representations (ICLR), 2023
2 October 2023
Annan Yu
Arnur Nigmetov
Dmitriy Morozov
Michael W. Mahoney
N. Benjamin Erichson
ArXiv (abs)PDFHTML

Papers citing "Robustifying State-space Models for Long Sequences via Approximate Diagonalization"

13 / 13 papers shown
Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility
Understanding Transformers for Time Series: Rank Structure, Flow-of-ranks, and Compressibility
Annan Yu
Danielle C. Maddix
Boran Han
Xiyuan Zhang
Abdul Fatir Ansari
Oleksandr Shchur
Christos Faloutsos
Andrew Gordon Wilson
Michael W. Mahoney
Yuyang Wang
AI4TS
167
2
0
02 Oct 2025
UnHiPPO: Uncertainty-aware Initialization for State Space Models
Marten Lienen
Abdullah Saydemir
Stephan Günnemann
214
1
0
05 Jun 2025
ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibility Data
ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibility Data
Yifeng Jiao
Yuchen Liu
Yu Zhang
Xin Guo
Yushuai Wu
...
Hongwei Zhang
Limei Han
Xin Gao
Yuan Qi
Yuan Cheng
523
2
0
19 May 2025
Block-Biased Mamba for Long-Range Sequence Processing
Block-Biased Mamba for Long-Range Sequence Processing
Annan Yu
N. Benjamin Erichson
Mamba
361
4
0
13 May 2025
Perturbed State Space Feature Encoders for Optical Flow with Event Cameras
Perturbed State Space Feature Encoders for Optical Flow with Event Cameras
Gokul Raju Govinda Raju
Nikola Zubić
Marco Cannici
Davide Scaramuzza
304
1
0
14 Apr 2025
A Deep State Space Model for Rainfall-Runoff Simulations
Yihan Wang
Lujun Zhang
Annan Yu
N. Benjamin Erichson
Tiantian Yang
375
3
0
28 Jan 2025
Fast convolution algorithm for state space models
Fast convolution algorithm for state space models
Gregory Beylkin
442
1
0
22 Nov 2024
Tuning Frequency Bias of State Space Models
Tuning Frequency Bias of State Space ModelsInternational Conference on Learning Representations (ICLR), 2024
Annan Yu
Dongwei Lyu
Soon Hoe Lim
Michael W. Mahoney
N. Benjamin Erichson
313
12
0
02 Oct 2024
WaveCastNet: Rapid Wavefield Forecasting for Earthquake Early Warning via Deep Sequence to Sequence Learning
WaveCastNet: Rapid Wavefield Forecasting for Earthquake Early Warning via Deep Sequence to Sequence Learning
Dongwei Lyu
R. Nakata
Pu Ren
Michael W. Mahoney
A. Pitarka
Nori Nakata
N. Benjamin Erichson
334
0
0
30 May 2024
The Expressive Capacity of State Space Models: A Formal Language Perspective
The Expressive Capacity of State Space Models: A Formal Language Perspective
Yash Sarrof
Yana Veitsman
Michael Hahn
Mamba
475
25
0
27 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
Tianlin Li
Shiao Wang
Yuhe Ding
Yuehang Li
Wentao Wu
...
Bowei Jiang
Chenglong Li
Yaowei Wang
Yonghong Tian
Jin Tang
Mamba
414
81
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
372
103
0
20 Mar 2024
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
Gated Recurrent Neural Networks with Weighted Time-Delay FeedbackInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
N. Benjamin Erichson
Soon Hoe Lim
Michael W. Mahoney
318
8
0
01 Dec 2022
1
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