When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation | Paper Citation Record

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This paper cites Communications on Pure and Applied Mathematics , volume =.

When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Communications on Pure and Applied Mathematics , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation SIAM Journal on Imaging Sciences , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 27th International Conference on Machine Learning , pages =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Advances in Neural Information Processing Systems , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Eldar , title =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Inverse Problems , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Sander and Pierre Ablin and Gabriel Peyr

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Young , title =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Advances in Neural Information Processing Systems , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Journal of Machine Learning Research , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation European Conference on Computer Vision , pages =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation International Conference on Learning Representations , year =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Advances in Neural Information Processing Systems , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Journal of Machine Learning Research , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation International Conference on Learning Representations , year =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Annals of Mathematics , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation IEEE Transactions on Information Theory , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Advances in Neural Information Processing Systems , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Advances in Neural Information Processing Systems , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Advances in Neural Information Processing Systems , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Advances in Neural Information Processing Systems , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 43rd International Conference on Machine Learning , year =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Gomez and Lukasz Kaiser and Illia Polosukhin , title =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Advances in Neural Information Processing Systems , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Advances in Neural Information Processing Systems , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Bulletin of the American Mathematical Society , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 38th International Conference on Machine Learning , series =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 38th International Conference on Machine Learning , series =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation How Smooth Is Attention? , booktitle =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 38th International Conference on Machine Learning , series =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Advances in Neural Information Processing Systems , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Mahoney and Kurt Keutzer , title =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 40th International Conference on Machine Learning , series =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation International Conference on Learning Representations , year =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of Machine Learning and Systems , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 41st International Conference on Machine Learning , series =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 41st International Conference on Machine Learning , series =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 41st International Conference on Machine Learning , series =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Lan and Wanzin Yazar and Tristan Webb and Sayeh Sharify and Xin Wang , title =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 41st International Conference on Machine Learning , series =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation International Conference on Learning Representations , year =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Journal of Machine Learning Research , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Zhao and Andrew M

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation International Conference on Learning Representations , year =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Mathematical Programming , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Mathematical Programming , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Mathematical Methods of Operations Research , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation SIAM Journal on Control and Optimization , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Shankar Sastry , title =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Bowman , title =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Manning and Andrew Y

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Transformers: State-of-the-Art Natural Language Processing , booktitle =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Geometric Path Enumeration for Equivalence Verification of Neural Networks , booktitle =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Mahoney and Kurt Keutzer , title =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Automatica , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Burden and S

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Kong and J

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Lasserre and Didier Henrion and Christophe Prieur and Emmanuel Tr

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the AAAI Conference on Artificial Intelligence , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Gradient Flows in Metric Spaces and in the Space of Probability Measures , edition =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation International Conference on Learning Representations , year =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Burr and Liu Liu and Meng Wang , title =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation SIAM Journal on Mathematics of Data Science , volume =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 37th International Conference on Machine Learning , series =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the IEEE/CVF International Conference on Computer Vision , pages =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Proceedings of the 41st International Conference on Machine Learning , series =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation The Expressive Power of Low Precision Softmax Transformers with (Summarized) Chain-of-Thought , journal =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation The Quantization Benefits of Residual-Free Transformers

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation DynamicPTQ: Mitigating Activation Quantization Collapse via Residual-Stream Dynamics

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation arXiv preprint arXiv:2601.22101 , year =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation arXiv preprint arXiv:2603.14818 , year =

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Consensus is all you get: The role of attention in transformers

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Framequant: Flexible low-bit quantization for transformers

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation u rich. Birkh \

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Quantization error propagation: Revisiting layer-wise post-training quantization

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Layer Normalization

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation A fast iterative shrinkage-thresholding algorithm for linear inverse problems

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation A mean field theory of quantized deep networks: The quantization--depth trade-off

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation The Expressive Power of Low Precision Softmax Transformers with (Summarized) Chain-of-Thought

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation QBB : Quantization with binary bases for LLMs

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Burden, S

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation How smooth is attention? In Proceedings of the 41st International Conference on Machine Learning, volume 235 of Proceedings of Machine Learning Research, pages 5817--5840, 2024

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Every bit counts: A theoretical study of precision--expressivity tradeoffs in quantized transformers

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Theoretical linear convergence of unfolded ISTA and its practical weights and thresholds

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees

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When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation Modal occupation measures and LMI relaxations for nonlinear switched systems control

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