As of Oct 12, CL4SM, a session at the ELLIS UnConference 2026 in Paris on December 8, is calling for contributions on machine learning models of scientific and engineering systems that respect conservation laws, symmetries, stability and other prior knowledge, rather than fitting data while violating physics.
CL4SM 2026 published this on Oct 12, 2026 (source: badulion.github.io).
CL4SM, a session at the ELLIS UnConference 2026 in Paris on December 8, is calling for contributions on machine learning models of scientific and engineering systems that respect conservation laws, symmetries, stability and other prior knowledge, rather than fitting data while violating physics.
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