Publications related to Yin-yang: concealing the deep embedding of DSLs

Related publications (24)

Extending Capabilities of Attention-based Models

Deep learning has brought incredible progress in areas where traditional algorithms struggle. It can be because they need rules that are sometimes hard to conceptualize, it can also be that the number and manner of combining these rules are too complex to ...

EPFL2024

Uncertainty quantification for a deep learning models for image-based crack segmentation

Onaïa Joseph Savary, Katrin Beyer, Bryan German Pantoja Rosero, Ketson Roberto Maximiano Dos Santos

Recent advancements in deep learning have found compelling applications in the image-based inspection of infrastructure systems. However, the efficacy of these models hinges significantly on the quality and diversity of the input data used for training. In ...

2024

Dense Image-based Predictions for Comics Analysis

Deblina Bhattacharjee

Dense image-based prediction methods have advanced tremendously in recent years. Their remarkable development has been possible due to the ample availability of real-world imagery. While these methods work well on photographs, their abilities do not genera ...

EPFL2023

Detecting Anomalies and Obstacles in Road Scenes

Krzysztof Maciej Lis

We address the problem of segmenting anomalies and unusual obstacles in road scenes for the purpose of self-driving safety. The objects in question are not present in the common training sets as it is not feasible to collect and annotate examples for every ...

EPFL2023

Scaling Language Features for Program Verification

Georg Stefan Schmid

Formal verification of real-world software systems remains challenging for a number of reasons, including lack of automation, friction in specifying properties, and limited support for the diverse programming paradigms used in industry. In this thesis we m ...

EPFL2022

The role of convolutional neural networks in scanning probe microscopy: a review

Georg Fantner

Progress in computing capabilities has enhanced science in many ways. In recent years, various branches of machine learning have been the key facilitators in forging new paths, ranging from categorizing big data to instrumental control, from materials desi ...

BEILSTEIN-INSTITUT2021

Type-Safe Metaprogramming and Compilation Techniques For Designing Efficient Systems in High-Level Languages

Lionel Emile Vincent Parreaux

Software engineering practices have been steadily moving towards higher-level programming languages and away from lower-level ones. High-level languages tend to greatly improve safety, productivity, and code maintainability because they handle various impl ...

EPFL2020

A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience

Christian O'Reilly, Elisabetta Iavarone

The curation of neuroscience entities is crucial to ongoing efforts in neuroinformatics and computational neuroscience, such as those being deployed in the context of continuing large-scale brain modelling projects. However, manually sifting through thousa ...

Springer2019

Unifying Analytic and Statically-Typed Quasiquotes

Christoph Koch, Amir Shaikhha, Lionel Emile Vincent Parreaux

Metaprograms are programs that manipulate (generate, analyze and evaluate) other programs. These tasks are greatly facilitated by quasiquotation, a technique to construct and deconstruct program fragments using quoted code templates expressed in the syntax ...

2018

Unification of Compile-Time and Runtime Metaprogramming in Scala

Eugene Burmako

Metaprogramming is a technique that consists in writing programs that treat other programs as data. This paradigm of software development contributes to a multitude of approaches that improve programmer productivity, including code generation, program anal ...

EPFL2017

Squid: Type-Safe, Hygienic, and Reusable Quasiquotes

Christoph Koch, Amir Shaikhha, Lionel Emile Vincent Parreaux

Quasiquotes have been shown to greatly simplify the task of metaprogramming. This is in part because they hide the data structures of the intermediate representation (IR), instead allowing metaprogrammers to use the concrete syntax of the language they man ...

ACM2017

Verification by Reduction to Functional Programs

Régis William Blanc

In this thesis, we explore techniques for the development and verification of programs in a high-level, expressive, and safe programming language. Our programs can express problems over unbounded domains and over recursive and mutable data structures. We p ...

EPFL2017

Accelerating parser combinators with macros

Manohar Jonnalagedda, Eric Beguet

Parser combinators provide an elegant way of writing parsers: parser implementations closely follow the structure of the underlying grammar, while accommodating interleaved host language code for data processing. However, the host language features used fo ...

ACM Press2014

Forge: Generating a High Performance DSL Implementation from a Declarative Specification

Martin Odersky, Tiark Rompf

Domain-specific languages provide a promising path to automatically compile high-level code to parallel, heterogeneous, and distributed hardware. However, in practice high performance DSLs still require considerable software expertise to develop and force ...

Assoc Computing Machinery2014

Spiral in Scala: Towards the Systematic Construction of Generators for Performance Libraries

Martin Odersky, Tiark Rompf

Program generators for high performance libraries are an appealing solution to the recurring problem of porting and optimizing code with every new processor generation, but only few such generators exist to date. This is due to not only the difficulty of t ...

Assoc Computing Machinery2014

Programming language abstractions for mobile code

Scala is a general-purpose programming language developed at EPFL. It combines the most important concepts found in object-oriented and functional languages. Scala is a statically typed language; in particular it features an advanced type system and suppor ...

EPFL2009

Scala Macros: Let Our Powers Combine!

Eugene Burmako

Compile-time metaprogramming has been proven immensely useful enabling programming techniques such as language virtualization, embedding of external DSLs, self-optimization, and boilerplate generation amongst many others. In the recent production release o ...

2013

Constraint Solving for Software Reliability and Text Analysis

Viktor Kuncak

We will develop and implement new algorithms for constraint solving and apply them to construct two classes of tools: 1) bug finding and verification tools building on tools such as Java PathFinder and Jahob; 2) tools for deep semantic analysis of texts co ...

2008

Scala-Virtualized: Linguistic Reuse for Deep Embeddings

Martin Odersky, Tiark Rompf, Philipp Haller, Nada Amin

Scala-Virtualized extends the Scala language to better support hosting embedded DSLs. Scala is an expressive language that provides a flexible syntax, type-level computation using implicits, and other features that facilitate the development of em- bedded ...

Springer Verlag2013

Scala Macros, a Technical Report

Martin Odersky, Eugene Burmako

Metaprogramming is a powerful technique of software development, which allows to automate program generation. Applications of metaprogramming range from improving expressiveness of a programming language via deep embedding of domain-specific languages to b ...

2012