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References (28)

[1]
Attention Surgery: An Efficient Recipe to Linearize Your Video Diffusion Transformer
2025Mohsen Ghafoorian, Denis Korzhenkov et al.
[2]
Myosotis: structured computation for attention like layer
2025Evgenii Egorov, Hanno Ackermann et al.
[3]
AMD-Hummingbird: Towards an Efficient Text-to-Video Model
2025Takashi Isobe, He Cui et al.
[4]
Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k
2025Xiangyu Peng, Zangwei Zheng et al.
[5]
PolaFormer: Polarity-aware Linear Attention for Vision Transformers
2025Weikang Meng, Yadan Luo et al.
[6]
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
2024Ziyang Wu, Tianjiao Ding et al.
[7]
Gated Delta Networks: Improving Mamba2 with Delta Rule
2024Songlin Yang, Jan Kautz et al.
[8]
Breaking the Low-Rank Dilemma of Linear Attention
2024Qihang Fan, Huaibo Huang et al.
[9]
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers
2024Enze Xie, Junsong Chen et al.
[10]
Pyramidal Flow Matching for Efficient Video Generative Modeling
2024Yang Jin, Zhicheng Sun et al.
[11]
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
2024Jay Shah, Ganesh Bikshandi et al.
[12]
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
2024Tri Dao, Albert Gu
[13]
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
2023Albert Gu, Tri Dao
[14]
VBench: Comprehensive Benchmark Suite for Video Generative Models
2023Ziqi Huang, Yinan He et al.
[15]
HyperAttention: Long-context Attention in Near-Linear Time
2023Insu Han, Rajesh Jayaram et al.
[16]
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
2023Tri Dao
[17]
Retentive Network: A Successor to Transformer for Large Language Models
2023Yutao Sun, Li Dong et al.
[18]
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
2022Tri Dao, Daniel Y. Fu et al.
[19]
cosFormer: Rethinking Softmax in Attention
2022Zhen Qin, Weixuan Sun et al.
[20]
Chain of Thought Prompting Elicits Reasoning in Large Language Models
2022Jason Wei, Xuezhi Wang et al.

Showing 20 of 28 references

Founder's Pitch

"Implement Hadamard Linear Attention in transformers to improve efficiency in video generation tasks."

Attention MechanismsScore: 4View PDF ↗

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