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cs.LG2025
Growth strategies for arbitrary DAG neural architectures
Stella Douka, Manon Verbockhaven, Théo Rudkiewicz +4
Deep learning has shown impressive results obtained at the cost of training huge neural networks. However, the larger the architecture, the higher the computational, financial, and…
cs.LG2024
Neural delay differential equations: learning non-Markovian closures for partially known dynamical systems
Thibault Monsel, Onofrio Semeraro, Lionel Mathelin +1
Recent advances in learning dynamical systems from data have shown significant promise. However, many existing methods assume access to the full state of the system -- an assumptio…