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We define a simple kind of higher inductive type generalising dependent $W$-types, which we refer to as $W$-types with reductions. Just as dependent $W$-types can be characterised as initial algebras of certain endofunctors (referred to as…

Category Theory · Mathematics 2018-02-22 Andrew Swan

We prove an induction theorem for the higher algebraic K-groups of group algebras $kG$ of finite groups $G$ over characteristic $p$ finite fields $k$. For a certain class of finite groups, which we call $p$-isolated, this reduces…

K-Theory and Homology · Mathematics 2025-10-30 Chase Vogeli

This paper studies fundamental questions concerning category-theoretic models of induction and recursion. We are concerned with the relationship between well-founded and recursive coalgebras for an endofunctor. For monomorphism preserving…

Logic in Computer Science · Computer Science 2020-02-18 Jiří Adámek , Stefan Milius , Lawrence S. Moss

In Feferman's work, explicit mathematics and theories of generalized inductive definitions play a central role. One objective of this article is to describe the connections with Martin-Lof type theory and constructive Zermelo-Fraenkel set…

Logic · Mathematics 2018-01-08 Michael Rathjen

Termination property of functions is an important issue in computability theory. In this paper, we show that repeated iterations of a function can induce an order amongst the elements of its domain set. Hasse diagram of the poset, thus…

Logic in Computer Science · Computer Science 2017-08-17 Abhinav Aggarwal , Padam Kumar

The logic of hereditary Harrop formulas (HH) has proven useful for specifying a wide range of formal systems. This logic includes a form of hypothetical judgment that leads to dynamically changing sets of assumptions and that is key to…

Logic in Computer Science · Computer Science 2013-08-06 Yuting Wang , Kaustuv Chaudhuri , Andrew Gacek , Gopalan Nadathur

We give a simple proof of a crucial lemma that is established in [1, Lemma 2.1] by induction, and plays important roles in that paper and [2].

Functional Analysis · Mathematics 2018-07-12 Shibo Liu

Grammatical inference is a classical problem in computational learning theory and a topic of wider influence in natural language processing. We treat grammars as a model of computation and propose a novel neural approach to induction of…

Machine Learning · Computer Science 2022-10-04 Peter Belcák , David Hofer , Roger Wattenhofer

Transformers have recently been shown to be capable of reliably performing logical reasoning over facts and rules expressed in natural language, but abductive reasoning - inference to the best explanation of an unexpected observation - has…

Computation and Language · Computer Science 2022-03-24 Nathan Young , Qiming Bao , Joshua Bensemann , Michael Witbrock

Acoustics-to-word models are end-to-end speech recognizers that use words as targets without relying on pronunciation dictionaries or graphemes. These models are notoriously difficult to train due to the lack of linguistic knowledge. It is…

Audio and Speech Processing · Electrical Eng. & Systems 2018-11-14 Hao Tang , James Glass

Within dependent type theory, we provide a topological counterpart of well-founded trees (for short, W-types) by using a proof-relevant version of the notion of inductively generated suplattices introduced in the context of formal topology…

Logic in Computer Science · Computer Science 2024-02-14 Maria Emilia Maietti , Pietro Sabelli

The paper introduces a generalization for known probabilistic models such as log-linear and graphical models, called here multiplicative models. These models, that express probabilities via product of parameters are shown to capture…

Artificial Intelligence · Computer Science 2012-06-18 Ydo Wexler , Christopher Meek

Most categorical models for dependent types have traditionally been heavily set based: contexts form a category, and for each we have a set of types in said context -- and for each type a set of terms of said type. This is the case for…

Logic in Computer Science · Computer Science 2023-12-25 Greta Coraglia , Jacopo Emmenegger

Invertible neural networks (INNs) are neural network architectures with invertibility by design. Thanks to their invertibility and the tractability of Jacobian, INNs have various machine learning applications such as probabilistic modeling,…

Machine Learning · Computer Science 2022-04-18 Isao Ishikawa , Takeshi Teshima , Koichi Tojo , Kenta Oono , Masahiro Ikeda , Masashi Sugiyama

Cubical type theory provides a constructive justification to certain aspects of homotopy type theory such as Voevodsky's univalence axiom. This makes many extensionality principles, like function and propositional extensionality, directly…

Logic in Computer Science · Computer Science 2018-05-02 Thierry Coquand , Simon Huber , Anders Mörtberg

We give a new criterion guaranteeing existence of model structures left-induced along a functor admitting both adjoints. This works under the hypothesis that the functor induces idempotent adjunctions at the homotopy category level. As an…

Category Theory · Mathematics 2022-10-25 Philip Hackney , Martina Rovelli

We develop a categorical framework for reasoning about abstract properties of differentiation, based on the theory of fibrations. Our work encompasses the first-order fragments of several existing categorical structures for differentiation,…

Category Theory · Mathematics 2024-09-10 Matteo Capucci , Geoffrey S. H. Cruttwell , Neil Ghani , Fabio Zanasi

The real Jacobian conjecture claims that if $F=\left(f^1,\ldots,f^n\right):\mathbb{R}^n\rightarrow \mathbb{R}^n$ is a polynomial map such that $\det DF$ is nowhere zero, then $F$ is a global injective. The first part is to study the…

Dynamical Systems · Mathematics 2021-01-19 Yuzhou Tian , Yulin Zhao

We introduce and develop the notion of *displayed categories*. A displayed category over a category C is equivalent to "a category D and functor F : D --> C", but instead of having a single collection of "objects of D" with a map to the…

Category Theory · Mathematics 2023-06-22 Benedikt Ahrens , Peter LeFanu Lumsdaine

This paper studies the form and complexity of inference in graphical models using the abstraction offered by algebraic structures. In particular, we broadly formalize inference problems in graphical models by viewing them as a sequence of…

Artificial Intelligence · Computer Science 2015-05-05 Siamak Ravanbakhsh , Russell Greiner
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