I'm a dual-degree research student at Concordia University (Montreal) and IPSA (Toulouse), specializing in deep learning and aerospace engineering. My work spans machine learning dynamics, advanced optimization (both convex and non-convex), and telecommunications systems in aerospace. Currently, I'm investigating how neural networks evolve during training and the profound impact that optimizer selection has on their dynamics. My recent work, AdaFisher, was published at ICLR 2025, and my research is supported by the B1X FRQNT award.
🚀 #DeepLearning #Optimization #AI4Science #InnovativeResearch #AIApplications
My research is dedicated to advancing theoretical frameworks in Machine Learning and Optimization algorithms, aiming to refine their efficacy and applicability.
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Concordia University
- Montreal
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08:15
(UTC -05:00) - https://www.linkedin.com/in/damien-martins-gomes/
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AtlasAnalyticsLab/AdaFisher
AtlasAnalyticsLab/AdaFisher Public[ICLR 2025] AdaFisher: Adaptive Second Order Optimization via Fisher Information
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N-bodies-problem
N-bodies-problem PublicAn interactive Python simulation of the N-body problem with real astronomical data and multiple integration methods. Watch planets dance, trace space missions, and explore the cosmos! 🚀
Python
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RAG
RAG PublicA powerful Document Question-Answering System that leverages RAG to intelligently process PDF documents and provide accurate, context-aware responses to user queries based on the document content.
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