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Diagonal State Spaces are as Effective as Structured State Spaces

Diagonal State Spaces are as Effective as Structured State Spaces

27 March 2022
Ankit Gupta
Albert Gu
Jonathan Berant
ArXivPDFHTML

Papers citing "Diagonal State Spaces are as Effective as Structured State Spaces"

50 / 228 papers shown
Title
V2M: Visual 2-Dimensional Mamba for Image Representation Learning
V2M: Visual 2-Dimensional Mamba for Image Representation Learning
Chengkun Wang
Wenzhao Zheng
Yuanhui Huang
Jie Zhou
Jiwen Lu
Mamba
33
0
0
14 Oct 2024
GlobalMamba: Global Image Serialization for Vision Mamba
GlobalMamba: Global Image Serialization for Vision Mamba
Chengkun Wang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
Mamba
40
0
0
14 Oct 2024
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
Wenlong Wang
Ivana Dusparic
Yucheng Shi
Ke Zhang
Vinny Cahill
Mamba
146
0
0
11 Oct 2024
Parameter-Efficient Fine-Tuning of State Space Models
Parameter-Efficient Fine-Tuning of State Space Models
Kevin Galim
Wonjun Kang
Yuchen Zeng
H. Koo
Kangwook Lee
31
4
0
11 Oct 2024
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space
  Model
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model
Fei Xie
Weijia Zhang
Zhongdao Wang
Chao Ma
Mamba
29
3
0
09 Oct 2024
EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical
  Alignment
EMMA: Empowering Multi-modal Mamba with Structural and Hierarchical Alignment
Yifei Xing
Xiangyuan Lan
Ruiping Wang
D. Jiang
Wenjun Huang
Qingfang Zheng
Yaowei Wang
Mamba
38
0
0
08 Oct 2024
SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model
  for Long Sequences Learning
SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning
Yan Zhong
Ruoyu Zhao
Chao Wang
Qinghai Guo
Jianguo Zhang
Zhichao Lu
Luziwei Leng
46
2
0
07 Oct 2024
On Efficient Variants of Segment Anything Model: A Survey
On Efficient Variants of Segment Anything Model: A Survey
Xiaorui Sun
Xiaozhong Liu
H. Shen
Xiaofeng Zhu
Ping Hu
VLM
48
4
0
07 Oct 2024
Efficient and Robust Long-Form Speech Recognition with Hybrid
  H3-Conformer
Efficient and Robust Long-Form Speech Recognition with Hybrid H3-Conformer
Tomoki Honda
S. Sakai
Tatsuya Kawahara
23
0
0
05 Oct 2024
Can Mamba Always Enjoy the "Free Lunch"?
Can Mamba Always Enjoy the "Free Lunch"?
Ruifeng Ren
Zhicong Li
Yong Liu
44
1
0
04 Oct 2024
Demystifying the Token Dynamics of Deep Selective State Space Models
Demystifying the Token Dynamics of Deep Selective State Space Models
Thieu N. Vo
Tung D. Pham
Xin T. Tong
Tan Minh Nguyen
Mamba
49
0
0
04 Oct 2024
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
44
3
0
02 Oct 2024
FutureFill: Fast Generation from Convolutional Sequence Models
FutureFill: Fast Generation from Convolutional Sequence Models
Naman Agarwal
Xinyi Chen
Evan Dogariu
Vlad Feinberg
Daniel Suo
Peter L. Bartlett
Elad Hazan
AI4TS
MQ
38
2
0
02 Oct 2024
Were RNNs All We Needed?
Were RNNs All We Needed?
Leo Feng
Frederick Tung
Mohamed Osama Ahmed
Yoshua Bengio
Hossein Hajimirsadegh
AI4TS
29
14
1
02 Oct 2024
Cottention: Linear Transformers With Cosine Attention
Cottention: Linear Transformers With Cosine Attention
Gabriel Mongaras
Trevor Dohm
Eric C. Larson
26
0
0
27 Sep 2024
Speech-Mamba: Long-Context Speech Recognition with Selective State
  Spaces Models
Speech-Mamba: Long-Context Speech Recognition with Selective State Spaces Models
Xiaoxue Gao
Nancy F. Chen
Mamba
35
1
0
27 Sep 2024
A Diagonal Structured State Space Model on Loihi 2 for Efficient
  Streaming Sequence Processing
A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing
Svea Marie Meyer
Philipp Weidel
Philipp Plank
L. Campos-Macias
Sumit Bam Shrestha
Philipp Stratmann
M. R
36
4
0
23 Sep 2024
DocMamba: Efficient Document Pre-training with State Space Model
DocMamba: Efficient Document Pre-training with State Space Model
Pengfei Hu
Zhenrong Zhang
Jiefeng Ma
Shuhang Liu
Jun Du
Jianshu Zhang
Mamba
42
1
0
18 Sep 2024
SkinMamba: A Precision Skin Lesion Segmentation Architecture with
  Cross-Scale Global State Modeling and Frequency Boundary Guidance
SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary Guidance
Shun Zou
Mingya Zhang
Bingjian Fan
Zhengyi Zhou
Xiuguo Zou
Mamba
29
3
0
17 Sep 2024
Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion
Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion
Hui Shen
Zhongwei Wan
Xin Wang
Mi Zhang
Mamba
32
6
0
15 Sep 2024
Self-supervised Learning for Acoustic Few-Shot Classification
Self-supervised Learning for Acoustic Few-Shot Classification
Jingyong Liang
Bernd Meyer
Isaac Ning Lee
Thanh-Toan Do
SSL
52
0
0
15 Sep 2024
Learning Brain Tumor Representation in 3D High-Resolution MR Images via
  Interpretable State Space Models
Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models
Qingqiao Hu
Daoan Zhang
Jiebo Luo
Zhenyu Gong
Benedikt Wiestler
Jianguo Zhang
Hongwei Bran Li
34
0
0
12 Sep 2024
Towards Efficient Modelling of String Dynamics: A Comparison of State
  Space and Koopman based Deep Learning Methods
Towards Efficient Modelling of String Dynamics: A Comparison of State Space and Koopman based Deep Learning Methods
Rodrigo Diaz
Carlos De La Vega Martin
Mark Sandler
33
2
0
29 Aug 2024
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking
  State Space Models
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models
Shuaijie Shen
Chao Wang
Renzhuo Huang
Yan Zhong
Qinghai Guo
Zhichao Lu
Jianguo Zhang
Luziwei Leng
42
8
0
27 Aug 2024
MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction
  with Local Adaptive Reordering
MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive Reordering
Yonglin Tian
Songlin Bai
Zhiyao Luo
Yutong Wang
Yisheng Lv
Fei-Yue Wang
Mamba
39
2
0
21 Aug 2024
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
Advancing Spatio-Temporal Processing in Spiking Neural Networks through Adaptation
Maximilian Baronig
Romain Ferrand
Silvester Sabathiel
Robert Legenstein
45
3
0
14 Aug 2024
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs
Dongyuan Li
Shiyin Tan
Ying Zhang
Ming Jin
Shirui Pan
Manabu Okumura
Renhe Jiang
Mamba
34
3
0
13 Aug 2024
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network
Xinyi Zhang
Qiqi Bao
Qinpeng Cui
Wenming Yang
Qingmin Liao
3DH
Mamba
28
1
0
06 Aug 2024
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local
  Attention and Mamba
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba
Yunxiang Fu
Chaoqi Chen
Yizhou Yu
Mamba
70
3
0
05 Aug 2024
Long Range Switching Time Series Prediction via State Space Model
Long Range Switching Time Series Prediction via State Space Model
Jiaming Zhang
Yang Ding
Yunfeng Gao
31
0
0
27 Jul 2024
Longhorn: State Space Models are Amortized Online Learners
Longhorn: State Space Models are Amortized Online Learners
Bo Liu
Rui Wang
Lemeng Wu
Yihao Feng
Peter Stone
Qian Liu
51
10
0
19 Jul 2024
VideoMamba: Spatio-Temporal Selective State Space Model
VideoMamba: Spatio-Temporal Selective State Space Model
Jinyoung Park
Hee-Seon Kim
Kangwook Ko
Minbeom Kim
Changick Kim
Mamba
39
7
0
11 Jul 2024
Parallelizing Autoregressive Generation with Variational State Space
  Models
Parallelizing Autoregressive Generation with Variational State Space Models
Gaspard Lambrechts
Yann Claes
Pierre Geurts
Damien Ernst
18
0
0
11 Jul 2024
Towards a theory of learning dynamics in deep state space models
Towards a theory of learning dynamics in deep state space models
Jakub Smékal
Jimmy T.H. Smith
Michael Kleinman
D. Biderman
Scott W. Linderman
31
3
0
10 Jul 2024
RotRNN: Modelling Long Sequences with Rotations
RotRNN: Modelling Long Sequences with Rotations
Rares Dolga
Kai Biegun
Jake Cunningham
David Barber
42
2
0
09 Jul 2024
On the Power of Convolution Augmented Transformer
On the Power of Convolution Augmented Transformer
Mingchen Li
Xuechen Zhang
Yixiao Huang
Samet Oymak
37
0
0
08 Jul 2024
SpeakerBeam-SS: Real-time Target Speaker Extraction with Lightweight
  Conv-TasNet and State Space Modeling
SpeakerBeam-SS: Real-time Target Speaker Extraction with Lightweight Conv-TasNet and State Space Modeling
Hiroshi Sato
Takafumi Moriya
Masato Mimura
Shota Horiguchi
Tsubasa Ochiai
Takanori Ashihara
Atsushi Ando
Kentaro Shinayama
Marc Delcroix
35
1
0
01 Jul 2024
MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and
  Spatial-Frequency Information Fusion
MMR-Mamba: Multi-Modal MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion
Jing Zou
Lanqing Liu
Qi Chen
Shujun Wang
Zhanli Hu
Xiaohan Xing
Jing Qin
Mamba
45
2
0
27 Jun 2024
Soft Masked Mamba Diffusion Model for CT to MRI Conversion
Soft Masked Mamba Diffusion Model for CT to MRI Conversion
Zhenbin Wang
Lei Zhang
Lituan Wang
Zhenwei Zhang
Mamba
MedIm
46
6
0
22 Jun 2024
KalMamba: Towards Efficient Probabilistic State Space Models for RL
  under Uncertainty
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty
P. Becker
Niklas Freymuth
Gerhard Neumann
Mamba
26
2
0
21 Jun 2024
DeciMamba: Exploring the Length Extrapolation Potential of Mamba
DeciMamba: Exploring the Length Extrapolation Potential of Mamba
Assaf Ben-Kish
Itamar Zimerman
Shady Abu Hussein
Nadav Cohen
Amir Globerson
Lior Wolf
Raja Giryes
Mamba
77
13
0
20 Jun 2024
Slot State Space Models
Slot State Space Models
Jindong Jiang
Fei Deng
Gautam Singh
Minseung Lee
Sungjin Ahn
44
4
0
18 Jun 2024
Separations in the Representational Capabilities of Transformers and
  Recurrent Architectures
Separations in the Representational Capabilities of Transformers and Recurrent Architectures
S. Bhattamishra
Michael Hahn
Phil Blunsom
Varun Kanade
GNN
44
9
0
13 Jun 2024
Q-S5: Towards Quantized State Space Models
Q-S5: Towards Quantized State Space Models
Steven Abreu
Jens Egholm Pedersen
Kade Heckel
Alessandro Pierro
MQ
40
7
0
13 Jun 2024
MaIL: Improving Imitation Learning with Mamba
MaIL: Improving Imitation Learning with Mamba
Xiaogang Jia
Qian Wang
Atalay Donat
Bowen Xing
Ge Li
Hongyi Zhou
Onur Celik
Denis Blessing
Rudolf Lioutikov
Gerhard Neumann
Mamba
35
10
0
12 Jun 2024
Short-Long Convolutions Help Hardware-Efficient Linear Attention to
  Focus on Long Sequences
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
Zicheng Liu
Siyuan Li
Li Wang
Zedong Wang
Yunfan Liu
Stan Z. Li
35
7
0
12 Jun 2024
RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake
  Detection
RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection
Yujie Chen
Jiangyan Yi
Jun Xue
Chenglong Wang
Xiaohui Zhang
Shunbo Dong
Siding Zeng
Jianhua Tao
Lv Zhao
Cunhang Fan
Mamba
42
16
0
10 Jun 2024
PointABM:Integrating Bidirectional State Space Model with Multi-Head
  Self-Attention for Point Cloud Analysis
PointABM:Integrating Bidirectional State Space Model with Multi-Head Self-Attention for Point Cloud Analysis
Jia-wei Chen
Yu-jie Xiong
Yong-Bin Gao
Mamba
37
1
0
10 Jun 2024
What Can We Learn from State Space Models for Machine Learning on
  Graphs?
What Can We Learn from State Space Models for Machine Learning on Graphs?
Yinan Huang
Siqi Miao
Pan Li
44
7
0
09 Jun 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
50
1
0
08 Jun 2024
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