Orestis Oikonomou
@oroikonomou
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PhD Candidate @ ETH AI Center. An enthousiast of learning new things, with a background in applied mathematics.
Joined March 2020
Find out more about SIGS here: https://t.co/YcGDFLC9EB 🤖🧠#AIforScience #PhysicsML #ETHZurich #PhysicalAI #OpenScience #NeuralPhysics #HybridAI #AI4Science
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Beyond single PDEs, new version of SIGS includes results on nonlinear + coupled PDE systems (e.g., shallow water / Euler-type settings) and robustness studies (KdV). #AI4Science #compositional_learning
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The updated SIGS uses a topology/geometry-regularized latent traversal to reduce artifacts during exploration, so local moves in latent space behave more predictably in expression space. But the most exciting part is the extended suite of problems that it handles. #NeuroSymbolic
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Surrogate accuracy isn’t the same as verification. Analytical solutions act as unit tests when you need credibility. The motivation behind the updated SIGS: grammar-valid candidates → latent exploration → residual-validated refinement (incl. coupled systems). @ETH_AI_Center
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