Arvind, me, and Jonah released a new pre-print on some pen and paper analysis of fundamental failure modes and old school stability analysis for neural PDEs typically used in AI for Science application. arxiv.org/abs/2411.15101. 1/n
What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning
Differentiable Programming for scientific machine learning (SciML) has recently seen considerable interest and success, as it directly embeds neural networks inside PDEs, often called as NeuralPDEs, d...
arxiv.org
November 25, 2024 at 8:45 PM
Arvind, me, and Jonah released a new pre-print on some pen and paper analysis of fundamental failure modes and old school stability analysis for neural PDEs typically used in AI for Science application. arxiv.org/abs/2411.15101. 1/n
Time-Series Forecasting and Refinement Within a Multimodal PDE Foundation Model
www.dl.begellhouse.com/journals/558...
#MultimodalML #TimeSeriesForecasting #NeuralPDEs
www.dl.begellhouse.com/journals/558...
#MultimodalML #TimeSeriesForecasting #NeuralPDEs
August 12, 2025 at 6:39 PM
Time-Series Forecasting and Refinement Within a Multimodal PDE Foundation Model
www.dl.begellhouse.com/journals/558...
#MultimodalML #TimeSeriesForecasting #NeuralPDEs
www.dl.begellhouse.com/journals/558...
#MultimodalML #TimeSeriesForecasting #NeuralPDEs