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Redesigning the Transformer Architecture with Insights from
  Multi-particle Dynamical Systems

Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems

30 September 2021
Subhabrata Dutta
Tanya Gautam
Soumen Chakrabarti
Tanmoy Chakraborty
ArXivPDFHTML

Papers citing "Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems"

4 / 4 papers shown
Title
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning
Anh Tong
Thanh Nguyen-Tang
Dongeun Lee
Duc Nguyen
Toan M. Tran
David Hall
Cheongwoong Kang
Jaesik Choi
33
0
0
03 Mar 2025
Seeing the forest and the tree: Building representations of both
  individual and collective dynamics with transformers
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers
Ran Liu
Mehdi Azabou
M. Dabagia
Jingyun Xiao
Eva L. Dyer
AI4CE
27
19
0
10 Jun 2022
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
249
1,982
0
28 Jul 2020
Efficient Content-Based Sparse Attention with Routing Transformers
Efficient Content-Based Sparse Attention with Routing Transformers
Aurko Roy
M. Saffar
Ashish Vaswani
David Grangier
MoE
228
578
0
12 Mar 2020
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