Reconstructing noisy gene regulation dynamics using extrinsic-noise-driven neural stochastic differential equations. [PDF]
Zhang J +8 more
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Conditional universal differential equations capture population dynamics and interindividual variation in c-peptide production. [PDF]
de Rooij M, van Riel NAW, O'Donovan SD.
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Modeling Chemical Reaction Networks Using Neural Ordinary Differential Equations. [PDF]
Thöni ACM +4 more
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NeuberNet: a neural operator solving elastic-plastic partial differential equations at V-notches from low-fidelity elastic simulations. [PDF]
Grossi T, Beghini M, Benedetti M.
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A thermodynamic inspired AI based search algorithm for solving ordinary differential equations. [PDF]
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Intelligent regulation of university faculty interdisciplinary collaboration networks based on complex network topology evolution and stochastic differential equations. [PDF]
Ren S.
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Physics-Informed Neural Network-Based Inverse Framework for Time-Fractional Differential Equations for Rheology. [PDF]
Thakur S, Mitra H, Ardekani AM.
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The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning. [PDF]
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Physics-Informed Neural Networks with Unknown Partial Differential Equations: An Application in Multivariate Time Series. [PDF]
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