Deep Inference

Deep Inference is a proof-theoretic methodology in structural proof theory that allows inference rules to operate at any depth within logical formulae, as opposed to only at the root of proof trees, thereby enabling more refined analytic proofs and finer control over proof construction through local rewriting.

308

Publications

16.1K

Citations

1.2K

Authors

357

Institutions

Publications per year

2017–2026

244

Authors

1.2K

  1. KF
    Karl Friston

    University College London, United Kingdom

    7 publications · 404 citations

    7

    h-index

  2. LB
    Luca Benini

    University of Bologna, Italy

    6 publications · 209 citations

    6

    h-index

  3. AS
    Abu Sebastian

    IBM Research - Zurich, Switzerland

    6 publications · 880 citations

    6

    h-index

  4. CS
    Christian Szegedy

    Google (United States), United States

    6 publications · 217 citations

    6

    h-index

  5. ML
    Manuel Le Gallo

    IBM Research - Zurich, Switzerland

    5 publications · 869 citations

    5

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 48 publications · 1.9K citations

    23

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 5 publications · 124 citations

    5

    h-index

  3. 3

    h-index

  4. ACM Transactions on Embedded Computing Systems

    TECS · 3 publications · 162 citations

    3

    h-index

  5. Neural Information Processing Systems

    Conference · 3 publications · 66 citations

    3

    h-index

1–5