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Efficiently Modeling Long Sequences with Structured State Spaces

Efficiently Modeling Long Sequences with Structured State Spaces

31 October 2021
Albert Gu
Karan Goel
Christopher Ré
ArXivPDFHTML

Papers citing "Efficiently Modeling Long Sequences with Structured State Spaces"

25 / 1,125 papers shown
Title
ChordMixer: A Scalable Neural Attention Model for Sequences with
  Different Lengths
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths
Ruslan Khalitov
Tong Yu
Lei Cheng
Zhirong Yang
25
12
0
12 Jun 2022
Towards a General Purpose CNN for Long Range Dependencies in $N$D
Towards a General Purpose CNN for Long Range Dependencies in NNND
David W. Romero
David M. Knigge
Albert Gu
Erik J. Bekkers
E. Gavves
Jakub M. Tomczak
Mark Hoogendoorn
16
19
0
07 Jun 2022
Improving the Diagnosis of Psychiatric Disorders with Self-Supervised
  Graph State Space Models
Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models
A. E. Gazzar
R. Thomas
G. Wingen
AI4MH
11
6
0
07 Jun 2022
Entangled Residual Mappings
Entangled Residual Mappings
Mathias Lechner
Ramin Hasani
Z. Babaiee
Radu Grosu
Daniela Rus
T. Henzinger
Sepp Hochreiter
6
4
0
02 Jun 2022
FlashAttention: Fast and Memory-Efficient Exact Attention with
  IO-Awareness
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Tri Dao
Daniel Y. Fu
Stefano Ermon
Atri Rudra
Christopher Ré
VLM
58
2,020
0
27 May 2022
Recognition Models to Learn Dynamics from Partial Observations with
  Neural ODEs
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs
Mona Buisson-Fenet
V. Morgenthaler
Sebastian Trimpe
F. D. Meglio
40
6
0
25 May 2022
Recipe for a General, Powerful, Scalable Graph Transformer
Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek
Mikhail Galkin
Vijay Prakash Dwivedi
A. Luu
Guy Wolf
Dominique Beaini
54
511
0
25 May 2022
Realization Theory Of Recurrent Neural ODEs Using Polynomial System
  Embeddings
Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings
Martin Gonzalez
Thibault Defourneau
H. Hajri
M. Petreczky
31
2
0
24 May 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series
  Forecasting
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
Tian Zhou
Ziqing Ma
Xue Wang
Qingsong Wen
Liang Sun
Tao Yao
Wotao Yin
Rong Jin
AI4TS
121
167
0
18 May 2022
Long Movie Clip Classification with State-Space Video Models
Long Movie Clip Classification with State-Space Video Models
Md. Mohaiminul Islam
Gedas Bertasius
VLM
38
101
0
04 Apr 2022
Path Development Network with Finite-dimensional Lie Group
  Representation
Path Development Network with Finite-dimensional Lie Group Representation
Han Lou
Siran Li
Hao Ni
11
7
0
02 Apr 2022
Diagonal State Spaces are as Effective as Structured State Spaces
Diagonal State Spaces are as Effective as Structured State Spaces
Ankit Gupta
Albert Gu
Jonathan Berant
37
290
0
27 Mar 2022
Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for
  In-The-Wild Affect Recognition
Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition
Vincent Karas
M. Tellamekala
Adria Mallol-Ragolta
M. Valstar
Björn W. Schuller
17
13
0
24 Mar 2022
projUNN: efficient method for training deep networks with unitary
  matrices
projUNN: efficient method for training deep networks with unitary matrices
B. Kiani
Randall Balestriero
Yann LeCun
S. Lloyd
36
32
0
10 Mar 2022
It's Raw! Audio Generation with State-Space Models
It's Raw! Audio Generation with State-Space Models
Karan Goel
Albert Gu
Chris Donahue
Christopher Ré
14
185
0
20 Feb 2022
General-purpose, long-context autoregressive modeling with Perceiver AR
General-purpose, long-context autoregressive modeling with Perceiver AR
Curtis Hawthorne
Andrew Jaegle
Cătălina Cangea
Sebastian Borgeaud
C. Nash
...
Hannah R. Sheahan
Neil Zeghidour
Jean-Baptiste Alayrac
João Carreira
Jesse Engel
35
65
0
15 Feb 2022
Transferable Time-Series Forecasting under Causal Conditional Shift
Transferable Time-Series Forecasting under Causal Conditional Shift
Zijian Li
Ruichu Cai
T. Fu
Zhifeng Hao
Kun Zhang
TTA
OOD
AI4TS
20
23
0
05 Nov 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel
  Sizes
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
David W. Romero
Robert-Jan Bruintjes
Jakub M. Tomczak
Erik J. Bekkers
Mark Hoogendoorn
J. C. V. Gemert
80
81
0
15 Oct 2021
Networked Time Series Prediction with Incomplete Data via Generative
  Adversarial Network
Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network
Yichen Zhu
Bo Jiang
Haiming Jin
Mengtian Zhang
Feng Gao
Jianqiang Huang
Tao Lin
Xinbing Wang
GNN
AI4TS
40
5
0
05 Oct 2021
Closed-form Continuous-time Neural Models
Closed-form Continuous-time Neural Models
Ramin Hasani
Mathias Lechner
Alexander Amini
Lucas Liebenwein
Aaron Ray
Max Tschaikowski
G. Teschl
Daniela Rus
PINN
AI4TS
23
82
0
25 Jun 2021
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent
  Neural Networks
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks
L. Kozachkov
Michaela Ennis
Jean-Jacques E. Slotine
14
18
0
16 Jun 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
265
2,603
0
04 May 2021
Creativity and Machine Learning: A Survey
Creativity and Machine Learning: A Survey
Giorgio Franceschelli
Mirco Musolesi
VLM
AI4CE
29
40
0
06 Apr 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,876
0
14 Dec 2020
Efficient Transformers: A Survey
Efficient Transformers: A Survey
Yi Tay
Mostafa Dehghani
Dara Bahri
Donald Metzler
VLM
74
1,101
0
14 Sep 2020
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