Andrés Goens

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Graph Representations

Reinforcement Learning

Machine Learning

Top Venues

Proc. ACM Program. Lang.

Publications

Siddharth Bhat, Alex C. Keizer, Chris Hughes, Andrés Goens, Tobias Grosser
Verifying Peephole Rewriting In SSA Compiler IRs. CoRR (2024)
Weihang Li, Andrés Goens, Nicolai Oswald, Vijay Nagarajan, Daniel J. Sorin
Determining the Minimum Number of Virtual Networks for Different Coherence Protocols. ISCA (2024)
Marcus Rossel, Andrés Goens
Bridging Syntax and Semantics of Lean Expressions in E-Graphs. CoRR (2024)
Thomas Koehler, Andrés Goens, Siddharth Bhat, Tobias Grosser, Phil Trinder, Michel Steuwer
Guided Equality Saturation. Proc. ACM Program. Lang. 8 (POPL) (2024)
Ramon Fernández Mir, Paul B. Jackson, Siddharth Bhat, Andrés Goens, Tobias Grosser
Transforming Optimization Problems into Disciplined Convex Programming Form. CICM (2024)
Marcus Rossel, Shaokai Lin, Marten Lohstroh, Jerónimo Castrillón, Andrés Goens
Provable Determinism for Software in Cyber-Physical Systems. VSTTE (2023)
Andrés Goens, Soham Chakraborty, Susmit Sarkar, Sukarn Agarwal, Nicolai Oswald, Vijay Nagarajan
Compound Memory Models. Proc. ACM Program. Lang. 7 (PLDI) (2023)
Robert Khasanov, Julian Robledo, Christian Menard, Andrés Goens, Jerónimo Castrillón
Domain-specific Hybrid Mapping for Energy-efficient Baseband Processing in Wireless Networks. ACM Trans. Embed. Comput. Syst. 20 (5s) (2021)
Andrés Goens, Jerónimo Castrillón
Embeddings of Task Mappings to Multicore Systems. SAMOS (2021)
Christian Menard, Andrés Goens, Gerald Hempel, Robert Khasanov, Julian Robledo, Felix Teweleitt, Jerónimo Castrillón
Mocasin - Rapid Prototyping of Rapid Prototyping Tools: A Framework for Exploring New Approaches in Mapping Software to Heterogeneous Multi-cores. DroneSE/RAPIDO@HiPEAC (2021)
Alexander Brauckmann, Andrés Goens, Jerónimo Castrillón
A Reinforcement Learning Environment for Polyhedral Optimizations. CoRR (2021)
Alexander Brauckmann, Andrés Goens, Jerónimo Castrillón
PolyGym: Polyhedral Optimizations as an Environment for Reinforcement Learning. PACT (2021)
Christian Menard, Andrés Goens, Marten Lohstroh, Jerónimo Castrillón
Achieving Determinism in Adaptive AUTOSAR. DATE (2020)
Robert Wittig, Andrés Goens, Christian Menard, Emil Matús, Gerhard P. Fettweis, Jerónimo Castrillón
Modem Design in the Era of 5G and Beyond: The Need for a Formal Approach. ICT (2020)
Asif Ali Khan, Andrés Goens, Fazal Hameed, Jerónimo Castrillón
Generalized Data Placement Strategies for Racetrack Memories. DATE (2020)
Alexander Brauckmann, Andrés Goens, Jerónimo Castrillón
ComPy-Learn: A toolbox for exploring machine learning representations for compilers. FDL (2020)
Alexander Brauckmann, Andrés Goens, Sebastian Ertel, Jerónimo Castrillón
Compiler-based graph representations for deep learning models of code. CC (2020)
Marten Lohstroh, Íñigo Íncer Romeo, Andrés Goens, Patricia Derler, Jerónimo Castrillón, Edward A. Lee, Alberto L. Sangiovanni-Vincentelli
Reactors: A Deterministic Model for Composable Reactive Systems. CyPhy/WESE (2019)
Sebastian Ertel, Justus Adam, Norman A. Rink, Andrés Goens, Jerónimo Castrillón
Category-Theoretic Foundations of "STCLang: State Thread Composition as a Foundation for Monadic Dataflow Parallelism". CoRR (2019)
Sebastian Ertel, Justus Adam, Norman A. Rink, Andrés Goens, Jerónimo Castrillón
STCLang: state thread composition as a foundation for monadic dataflow parallelism. Haskell@ICFP (2019)
Andrés Goens, Alexander Brauckmann, Sebastian Ertel, Chris Cummins, Hugh Leather, Jerónimo Castrillón
A case study on machine learning for synthesizing benchmarks. MAPL@PLDI (2019)
Marten Lohstroh, Martin Schoeberl, Andrés Goens, Armin Wasicek, Christopher D. Gill, Marjan Sirjani, Edward A. Lee
Actors Revisited for Time-Critical Systems. DAC (2019)
Andrés Goens, Christian Menard, Jerónimo Castrillón
On Compact Mappings for Multicore Systems. SAMOS (2019)
Jerónimo Castrillón, Matthias Lieber, Sascha Klüppelholz, Marcus Völp, Nils Asmussen, Uwe Aßmann, Franz Baader, Christel Baier, Gerhard P. Fettweis, Jochen Fröhlich, Andrés Goens, Sebastian Haas, Dirk Habich, Hermann Härtig, Mattis Hasler, Immo Huismann, Tomas Karnagel, Sven Karol, Akash Kumar, Wolfgang Lehner, Linda Leuschner, Siqi Ling, Steffen Märcker, Christian Menard, Johannes Mey, Wolfgang E. Nagel, Benedikt Nöthen, Rafael Peñaloza, Michael Raitza, Jörg Stiller, Annett Ungethüm, Axel Voigt, Sascha Wunderlich
A Hardware/Software Stack for Heterogeneous Systems. IEEE Trans. Multi Scale Comput. Syst. 4 (3) (2018)
Robert Khasanov, Andrés Goens, Jerónimo Castrillón
Implicit Data-Parallelism in Kahn Process Networks: Bridging the MacQueen Gap. PARMA-DITAM@HiPEAC (2018)
Sebastian Ertel, Andrés Goens, Justus Adam, Jerónimo Castrillón
Compiling for concise code and efficient I/O. CC (2018)
Andrés Goens, Robert Khasanov, Jerónimo Castrillón, Marcus Hähnel, Till Smejkal, Hermann Härtig
TETRiS: a Multi-Application Run-Time System for Predictable Execution of Static Mappings. SCOPES (2017)
Andrés Goens, Sergio Siccha, Jerónimo Castrillón
Symmetry in Software Synthesis. ACM Trans. Archit. Code Optim. 14 (2) (2017)
Gerald Hempel, Andrés Goens, Jerónimo Castrillón, Josefine Asmus, Ivo F. Sbalzarini
Robust Mapping of Process Networks to Many-Core Systems using Bio-Inspired Design Centering. SCOPES (2017)
Andrés Goens, Sergio Siccha, Jerónimo Castrillón
Symmetry in Software Synthesis. CoRR (2017)
Andrés Goens, Jerónimo Castrillón
Analysis of Process Traces for Mapping Dynamic KPN Applications to MPSoCs. IESS (2015)