Sebastián Guadalupe

Sebastián Guadalupe  new_releases

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Software Engineer Junior
Maldonado Department, Uruguay

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Jobs verified_user 50% verified
  • Torre.ai
    Software Engineer verified_user Verified experience public Remote experience
    Torre.ai
    Jun 2023 - Current (1 year 8 months)
  • J
    Intern public Remote experience
    Julia Computing
    Jun 2020 - Dec 2020 (7 months)
    - Developed the existing Zonotope implementation in the Julia library LazySets.jl. - Implemented scalable methods to verify input-output properties of DNNs in NeuralVerification.jl, reworking the Reachability algorithm Ai2.
Education verified_user 0% verified
  • Instituto Hack Academy
    Desarrollo de aplicaciones web public Remote experience
    Instituto Hack Academy
    Jul 2022 - Aug 2022 (2 months)
    An extremely practical 3-month, full-time educational program where I dedicated over 600 hours to the practice of Node.js, React.js, SQL, MongoDB and Git.
Projects verified_user 0% verified
  • Instituto Hack Academy
    Final project public Remote experience
    Instituto Hack Academy
    Sep 2022
Publications verified_user 0% verified
  • J
    Verification of Neural-Network Control Systems by Integrating Taylor Models and ZonotopesVerification
    Julia Reach
    Mar 2022 - Jun 2022 (4 months)
    We study the verification problem for closed-loop dynamical systems with neural-network controllers (NNCS). This problem is commonly reduced to computing the set of reachable states. When considering dynamical systems and neural networks in isolation, there exist precise approaches for that task based on set representations respectively called Taylor models and zonotopes. However, the combination of these approaches to NNCS is non-trivial because, when converting between the set representations, dependency information gets lost in each control cycle and the accumulated approximation error quickly renders the result useless. We present an algorithm to chain approaches based on Taylor models and zonotopes, yielding a precise reachability algo