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In implicit models, one often interpolates between sampled points in latent space. As we show in this paper, care needs to be taken to match-up the distributional assumptions on code vectors with the geometry of the interpolating paths.…

Machine Learning · Computer Science 2018-02-05 Yannic Kilcher , Aurelien Lucchi , Thomas Hofmann

We present some hypersequent calculi for all systems of the classical cube and their extensions with axioms $T$, $P$, $D$, and, for every $n\geq 1$, rule $RD^+_n$. The calculi are internal as they only employ the language of the logic, plus…

Logic in Computer Science · Computer Science 2020-06-11 Tiziano Dalmonte , Björn Lellmann , Nicola Olivetti , Elaine Pimentel

Our paper investigates the linear logic of knowledge and time LTK_r with reflexive intransitive time relation. The logic is defined semantically, -- as the set of formulas which are true at special frames with intransitive and reflexive…

Logic in Computer Science · Computer Science 2014-07-29 Alexandra Lukyanchuk , Vladimir Rybakov

We focus on the persistence principle over weak interpretability logic. Our object of study is the logic obtained by adding the persistence principle to weak interpretability logic from several perspectives. Firstly, we prove that this…

Logic · Mathematics 2023-10-03 Sohei Iwata , Taishi Kurahashi , Yuya Okawa

Embedding knowledge graphs (KGs) into continuous vector spaces is a focus of current research. Combining such an embedding model with logic rules has recently attracted increasing attention. Most previous attempts made a one-time injection…

Artificial Intelligence · Computer Science 2017-12-01 Shu Guo , Quan Wang , Lihong Wang , Bin Wang , Li Guo

Temporal Knowledge Graphs (TKGs), as an extension of static Knowledge Graphs (KGs), incorporate the temporal feature to express the transience of knowledge by describing when facts occur. TKG extrapolation aims to infer possible future…

Artificial Intelligence · Computer Science 2025-05-30 Hao Dong , Ziyue Qiao , Zhiyuan Ning , Qi Hao , Yi Du , Pengyang Wang , Yuanchun Zhou

Heatmaps generated on inputs of image classification networks via explainable AI methods like Grad-CAM and LRP have been observed to resemble segmentations of input images in many cases. Consequently, heatmaps have also been leveraged for…

Computer Vision and Pattern Recognition · Computer Science 2024-07-04 Xiaoyan Yu , Jannik Franzen , Wojciech Samek , Marina M. -C. Höhne , Dagmar Kainmueller

In this work, we explore proof theoretical connections between sequent, nested and labelled calculi. In particular, we show a general algorithm for transforming a class of nested systems into sequent calculus systems, passing through linear…

Logic in Computer Science · Computer Science 2018-02-15 Elaine Pimentel

We develop a discrete gauge-theoretic framework for superposition in large language models (LLMs) that replaces the single-global-dictionary premise with a sheaf-theoretic atlas of local semantic charts. Contexts are clustered into a…

Machine Learning · Computer Science 2026-03-17 Hossein Javidnia

We propose to study transformations on graphs, and more generally structures, by looking at how the cut-rank (as introduced by Oum) of subsets is affected when going from the input structure to the output structure. We consider…

Logic in Computer Science · Computer Science 2024-01-25 Mikołaj Bojańczyk , Pierre Ohlmann

G{\"o}del's completeness theorem for classical first-order logic is one of the most basic theorems of logic. Central to any foundational course in logic, it connects the notion of valid formula to the notion of provable formula.We survey a…

Logic · Mathematics 2024-01-25 Hugo Herbelin , Danko Ilik

We introduce OpSets, an executable framework for specifying and reasoning about the semantics of replicated datatypes that provide eventual consistency in a distributed system, and for mechanically verifying algorithms that implement these…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-15 Martin Kleppmann , Victor B. F. Gomes , Dominic P. Mulligan , Alastair R. Beresford

Relational semantics for linear logic is a form of non-idempotent intersection type system, from which several informations on the execution of a proof-structure can be recovered. An element of the relational interpretation of a…

Logic in Computer Science · Computer Science 2016-06-02 Giulio Guerrieri , Luc Pellissier , Lorenzo Tortora de Falco

The Kripke semantics of various logics arises via categorical dualities between a category of relational frames and their maps, and a category of algebras and logical homomorphisms. When the relational frames are considered as computational…

Logic in Computer Science · Computer Science 2026-05-08 Piotr Kozicki , Alex Kavvos

This paper reduces discontinuous parsing to sequence labeling. It first shows that existing reductions for constituent parsing as labeling do not support discontinuities. Second, it fills this gap and proposes to encode tree discontinuities…

Computation and Language · Computer Science 2020-10-05 David Vilares , Carlos Gómez-Rodríguez

OWL (Web Ontology Language) ontologies which are able to formally represent complex knowledge and support semantic reasoning have been widely adopted across various domains such as healthcare and bioinformatics. Recently, ontology…

Artificial Intelligence · Computer Science 2025-07-22 Hui Yang , Jiaoyan Chen , Yuan He , Yongsheng Gao , Ian Horrocks

This paper is a survey of two kinds of "compressed" proof schemes, the \emph{matrix method} and \emph{proof nets}, as applied to a variety of logics ranging along the substructural hierarchy from classical all the way down to the…

Logic in Computer Science · Computer Science 2012-03-23 Sean A. Fulop

We introduce labelled sequent calculi for quantified modal logics with definite descriptions. We prove that these calculi have the good structural properties of G3-style calculi. In particular, all rules are height-preserving invertible,…

Logic · Mathematics 2020-02-13 Eugenio Orlandelli

We present an ngram model-based logit scaling technique that effectively transfers extreme subword stylistic variation to large language models at inference time. We demonstrate its efficacy by tracking the perplexity of generated text with…

Computation and Language · Computer Science 2026-02-18 Craig Messner , Tom Lippincott

We introduce a framework that allows for the construction of sequent systems for expressive description logics extending ALC. Our framework not only covers a wide array of common description logics, but also allows for sequent systems to be…

Logic in Computer Science · Computer Science 2022-06-22 Tim Lyon , Jonas Karge