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20222026
most citedNeural Laplace: Learning diverse classes of differential equations in the Laplace domain

5 citations · 25 across the 15 of their papers we have counts for

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cs.LG2026

Influence-Guided Symbolic Regression: Scientific Discovery via LLM-Driven Equation Search with Granular Feedback

Evgeny S. Saveliev, Samuel Holt, Nabeel Seedat +3

Large Language Models (LLMs) offer a promising avenue for scientific discovery, yet their application to symbolic regression is often constrained by inefficient search strategies a…

cs.LG2026

Knowledge-Informed Kernel State Reconstruction from Heterogeneous Partial Observations

Luca Muscarnera, Silas Ruhrberg Estévez, Samuel Holt +2

Real-world scientific systems are rarely observed through complete, regularly sampled state trajectories. Instead, measurements are often partial, noisy, and heterogeneous, providi…