paper-with-me

홈 › Papers

Basic interactive algorithms: Preview

2025-08-07 · Yuri Gurevich arxiv

This dialog paper offers a preview and provides a foretaste of an upcoming work on the axiomatization of basic interactive algorithms. The modern notion of algorithm was elucidated in the 1930s--1950s. It was axiomatized a quarter of a century ago as the notion of `sequential algorithm'' or classical algorithm''; we prefer to call it basic algorithm" now. The axiomatization was used to show that for every basic algorithm there is a behaviorally equivalent abstract state machine. It was also used to prove the Church-Turing thesis as it has been understood by the logicians. Starting from the 1960s, the notion of algorithm has expanded -- probabilistic algorithms, quantum algorithms, etc. -- prompting introduction of a much more ambitious version of the Church-Turing thesis commonly known as the `physical thesis.'' We emphasize the difference between the two versions of the Church-Turing thesis and illustrate how nondeterministic and probabilistic algorithms can be viewed as basic algorithms with appropriate oracles. The same view applies to quantum circuit algorithms and many other classes of algorithms.

📄 PDF Abstract BibTeX arXiv:2508.05798

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

DreamForge-World 0.1 Preview: A Low-Compute Real-Time Controllable World Model

2026-06-29 · Daniyel Ayupov, Artur Markov-Tsoy arxiv

We present DreamForge-World 0.1 Preview, a preview foundational world model for real-time interactive world simulation. The system adapts the LongLive 1 autoregressive video stack, itself derived from Wan2.1-T2V-1.3B, wi…

Coin3D: Controllable and Interactive 3D Assets Generation with Proxy-Guided Conditioning

2024-05-13 · Wenqi Dong, Bangbang Yang, Lin Ma, Xiao Liu 외

As humans, we aspire to create media content that is both freely willed and readily controlled. Thanks to the prominent development of generative techniques, we now can easily utilize 2D diffusion methods to synthesize i…

3D Generation

Formal Algorithms for Transformers

2022-07-19 · Mary Phuong, Marcus Hutter

This document aims to be a self-contained, mathematically precise overview of transformer architectures and algorithms (*not* results). It covers what transformers are, how they are trained, what they are used for, their…

DiffusionBrowser: Interactive Diffusion Previews via Multi-Branch Decoders

2025-12-15 · Susung Hong, Chongjian Ge, Zhifei Zhang, Jui-Hsien Wang arxiv

Video diffusion models have revolutionized generative video synthesis, but they are imprecise, slow, and can be opaque during generation -- keeping users in the dark for a prolonged period. In this work, we propose Diffu…

Image Diffusion Preview with Consistency Solver

2025-12-15 · Fu-Yun Wang, Hao Zhou, Liangzhe Yuan, Sanghyun Woo 외 arxiv

The slow inference process of image diffusion models significantly degrades interactive user experiences. To address this, we introduce Diffusion Preview, a novel paradigm employing rapid, low-step sampling to generate p…

Reinforcement Learning