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We give extensional and intensional characterizations of functional programs with nondeterminism: as structure preserving functions between biorders, and as nondeterministic sequential algorithms on ordered concrete data structures which…

计算机科学中的逻辑 · 计算机科学 2023-06-22 James Laird

The expression problem describes how most types can easily be extended with new ways to produce the type or new ways to consume the type, but not both. When abstract syntax trees are defined as an algebraic data type, for example, they can…

编程语言 · 计算机科学 2024-03-12 David Binder , Ingo Skupin , Tim Süberkrüb , Klaus Ostermann

Modular reasoning about class invariants is challenging in the presence of dependencies among collaborating objects that need to maintain global consistency. This paper presents semantic collaboration: a novel methodology to specify and…

软件工程 · 计算机科学 2014-05-08 Nadia Polikarpova , Julian Tschannen , Carlo A. Furia , Bertrand Meyer

Delta modeling is a modular, yet flexible approach to capture spatial and temporal variability by explicitly representing the differences between system variants or versions. The conceptual idea of delta modeling is language-independent.…

软件工程 · 计算机科学 2014-08-26 Arne Haber , Katrin Hölldobler , Carsten Kolassa , Markus Look , Klaus Müller , Bernhard Rumpe , Ina Schaefer

The decidability of the reachability problem for finitary PCF has been used as a theoretical basis for fully automated verification tools for functional programs. The reachability problem, however, often becomes undecidable for a slight…

计算机科学中的逻辑 · 计算机科学 2025-02-11 Naoki Kobayashi

Multi-modal learning has shown exceptional performance in various tasks, especially in medical applications, where it integrates diverse medical information for comprehensive diagnostic evidence. However, there still are several challenges…

机器学习 · 计算机科学 2024-11-19 Lin Fan , Yafei Ou , Cenyang Zheng , Pengyu Dai , Tamotsu Kamishima , Masayuki Ikebe , Kenji Suzuki , Xun Gong

This note is about using computational effects for scalability. With this method, the specification gets more and more complex while its semantics gets more and more correct. We show, from two fundamental examples, that it is possible to…

计算机科学中的逻辑 · 计算机科学 2013-07-02 Dominique Duval

Dependently typed lambda calculi such as the Logical Framework (LF) are capable of representing relationships between terms through types. By exploiting the "formulas-as-types" notion, such calculi can also encode the correspondence between…

计算机科学中的逻辑 · 计算机科学 2010-07-07 Zachary Snow , David Baelde , Gopalan Nadathur

Scaled dot-product attention (SDPA) is a fundamental component responsible for the success of large-language models and other nonlinear signal processing applications. The rationale for SDPA has been based upon "query, key, value" concepts…

机器学习 · 计算机科学 2026-02-04 Terence D Sanger

We study an extension of modal $\mu$-calculus to sets with atoms and we study its basic properties. Model checking is decidable on orbit-finite structures, and a correspondence to parity games holds. On the other hand, satisfiability…

计算机科学中的逻辑 · 计算机科学 2023-06-22 Bartek Klin , Mateusz Łełyk

We present two Dialectica-like constructions for models of intensional Martin-L\"of type theory based on G\"odel's original Dialectica interpretation and the Diller-Nahm variant, bringing dependent types to categorical proof theory. We set…

范畴论 · 数学 2021-05-04 Sean K. Moss , Tamara von Glehn

Normal-form bisimilarity is a simple, easy-to-use behavioral equivalence that relates terms in $\lambda$-calculi by decomposing their normal forms into bisimilar subterms. Moreover, it typically allows for powerful up-to techniques, such as…

计算机科学中的逻辑 · 计算机科学 2023-06-22 Dariusz Biernacki , Serguei Lenglet , Piotr Polesiuk

It is commonly agreed that the success of future proof assistants will rely on their ability to incorporate computations within deduction in order to mimic the mathematician when replacing the proof of a proposition P by the proof of an…

计算机科学中的逻辑 · 计算机科学 2007-07-10 Frédéric Blanqui , Jean-Pierre Jouannaud , Pierre-Yves Strub

DHOL is an extensional, classical logic that equips the well-known higher-order logic (HOL) with dependent types. This allows for concise encodings of important domains like size-bounded data structures, category theory, or proof theory.…

计算机科学中的逻辑 · 计算机科学 2026-05-04 Rhea Ranalter , Florian Rabe , Cezary Kaliszyk

In the Calculus of Dependent Lambda Eliminations (CDLE), a pure Curry-style type theory, it is possible to generically {\lambda}-encode inductive datatypes which support course-of-values (CoV) induction. We present a datatype subsystem for…

编程语言 · 计算机科学 2019-11-05 Christopher Jenkins , Colin McDonald , Aaron Stump

Continual Test-Time Adaptation (CTTA) is an emerging and challenging task where a model trained in a source domain must adapt to continuously changing conditions during testing, without access to the original source data. CTTA is prone to…

机器学习 · 计算机科学 2024-05-29 Ziqi Shi , Fan Lyu , Ye Liu , Fanhua Shang , Fuyuan Hu , Wei Feng , Zhang Zhang , Liang Wang

This work introduces Differential Wavelet Amplifier (DWA), a drop-in module for wavelet-based image Super-Resolution (SR). DWA invigorates an approach recently receiving less attention, namely Discrete Wavelet Transformation (DWT). DWT…

图像与视频处理 · 电气工程与系统科学 2024-03-08 Brian B. Moser , Stanislav Frolov , Federico Raue , Sebastian Palacio , Andreas Dengel

Verification of higher-order probabilistic programs is a challenging problem. We present a verification method that supports several quantitative properties of higher-order probabilistic programs. Usually, extending verification methods to…

计算机科学中的逻辑 · 计算机科学 2024-07-04 Satoshi Kura , Hiroshi Unno

We define a noncommutative algebra of four basic objects within a differential calculus on quantum groups: functions, 1-forms, Lie derivatives and inner derivations, as the cross-product algebra associated with Woronowicz's (differential)…

q-alg · 数学 2009-10-30 A. A. Vladimirov

Tabular learning transforms raw features into optimized spaces for downstream tasks, but its effectiveness deteriorates under distribution shifts between training and testing data. We formalize this challenge as the Distribution Shift…