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“The DeltaNet update rule is equivalent to performing a gradient descent step with respect to the recurrent state Φ on || Φ k t -v t || 2 .”
From MesaNet: Sequence Modeling by Locally Optimal Test-Time Training (2025) · cites this paper as Widrow & Hoff, 1960
In the citing paper
“DeltaNet replaces additive writes with the delta rule, enabling targeted overwrite of the association addressed by the current key [2, 9, 10].”
From Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention (2026) · cites this paper as [9]
In the citing paper
“DeltaNet instead gives the state an active edit operation [2, 9, 10]. Before writing 𝑣 𝑡 , the model reads the value currently associated with 𝑘 𝑡 and subtracts it from the state.”
From Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention (2026) · cites this paper as [9]
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Metadata
- Authors
- WIDROW, B., & HOFF, M. E.
- Publisher
- Defense Technical Information Center
- Published
- 1960-06-30
- OpenAlex
- W1535810436
- Cited by
- 4,009
- References
- 0
- Citations by year
- 2026: 33 · 2025: 59 · 2024: 94 · 2023: 118 · 2022: 122 · 2021: 127 · 2020: 147 · 2019: 124 · 2018: 117 · 2017: 115 · 2016: 88 · 2015: 118 · 2014: 126 · 2013: 121 · 2012: 95
- Type
- report
- Language
- en
- Open access
- closed
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Analog and Mixed-Signal Circuit Design
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › VLSI and FPGA Design Techniques
- Keywords
- switching circuits, adaptive circuits
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