Tag: circuit
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Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets
Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets arXiv:2511.20888v1 Announce Type: new Abstract: This paper argues that DNNs implement a computational Occam’s razor — finding the `simplest’ algorithm that fits the data — and that this could explain their incredible and wide-ranging success over more traditional statistical methods. We start…
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Circuit Tracing: A Step Closer to Understanding Large Language Models
Circuit Tracing: A Step Closer to Understanding Large Language Models Context Over the years, Transformer-based large language models (LLMs) have made substantial progress across a wide range of tasks evolving from simple information retrieval systems to sophisticated agents capable of coding, writing, conducting research, and much more. But despite their capabilities, these models are still largely…
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Circuit Complexity Bounds for Visual Autoregressive Model
Circuit Complexity Bounds for Visual Autoregressive Model arXiv:2501.04299v1 Announce Type: new Abstract: Understanding the expressive ability of a specific model is essential for grasping its capacity limitations. Recently, several studies have established circuit complexity bounds for Transformer architecture. Besides, the Visual AutoRegressive (VAR) model has risen to be a prominent method in the field of…