Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones | Paper Citation Record

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This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , pages =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , pages =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Transformers are RNNs: fast autoregressive transformers with linear attention , year =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Advances in neural information processing systems , volume=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Repeat After Me: Transformers are Better than State Space Models at Copying

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones arXiv preprint arXiv:2502.13685 , year=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Retentive Network: A Successor to Transformer for Large Language Models

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones International Conference on Learning Representations , year=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Linear Transformers Are Secretly Fast Weight Programmers , booktitle =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones International Conference on Learning Representations , year=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Proceedings of the 41st International Conference on Machine Learning , articleno =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Proceedings of the 41st International Conference on Machine Learning , articleno =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Parallelizing Linear Transformers with the Delta Rule over Sequence Length , url =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones The Thirteenth International Conference on Learning Representations , year=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones SIAM Journal on Scientific and Statistical Computing , volume =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones American Journal of Mathematics , volume =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Analysis on Symmetric Cones , series =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones and Majumdar, Satya N

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Israel Journal of Mathematics , volume =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Hopfield Networks Is All You Need , booktitle =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones , title =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones On a Model of Associative Memory with Huge Storage Capacity , journal =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones First Conference on Language Modeling (

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Findings of the Association for Computational Linguistics:

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones and Kong, Lingpeng , title =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones The Tenth International Conference on Learning Representations (

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Transformer Circuits Thread , year =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones , title =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones , title =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones , title =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones , title =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2023 , eprint=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2025 , eprint=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Advances in Neural Information Processing Systems (NeurIPS) , year=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2024 , eprint =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones arXiv preprint arXiv:2505.23666 , year=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones arXiv preprint arXiv:2510.01450 , year=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Annals of Physics , volume =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Algorithmica , volume =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Journal of Complexity , volume =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Proceedings of the 39th International Conference on Machine Learning (

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Differential Transformer

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Copy Suppression: Comprehensively Understanding an Attention Head

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Selective Attention Improves Transformer

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones More Expressive Attention with Negative Weights

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Efficient Streaming Language Models with Attention Sinks

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones First Conference on Language Modeling , year=

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones TinyLlama: An Open-Source Small Language Model

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones and Lindenstrauss, Joram , title =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Journal of Computer and System Sciences , volume =

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Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones Combinatorics, Probability and Computing , volume =

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Observation 02582b04-9665-4a71-99b4-626511c535ac · outbound

This paper cites and Elad, Michael , title =.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones and Elad, Michael , title =

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:56.121665Z

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Observation bf6b149d-75c0-4cd4-be5d-8a77ebcc2222 · outbound

This paper cites 2025 , eprint=.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2025 , eprint=

Reference 66

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Observation b9978a0a-6b71-4930-b568-2b7e9acb5510 · outbound

This paper cites 2023 , eprint=.

Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones 2023 , eprint=

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T18:06:56.342744Z

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