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symbolic-regression

topic3 events
papersTODAY 04:00 UTC

Symbolic regression estimates neutron-star radii from gravitational-wave data alone

A new arXiv preprint explores using symbolic regression to infer neutron-star radii from gravitational-wave signals emitted during binary neutron-star inspirals. Such signals directly constrain component masses and tidal deformabilities, but radii are normally obtained through electromagnetic observations. The approach aims to support multi-messenger studies by deriving radius estimates without relying on electromagnetic data.

symbolic-regression/gravitational-waves/astrophysics/arxiv
papersSEP 12 04:00 UTC

LLMs as Post-hoc Auditors of Physiological Plausibility in Symbolic Regression

A new arXiv paper examines whether large language models can serve as post-hoc reviewers that judge whether equations produced by symbolic regression are physiologically sensible. The study uses genetic programming and grammatical evolution to derive mathematical expressions from multivariate data, then has clinicians evaluate the LLM assessments. It is a case study rather than a benchmark, focusing on plausibility screening alongside predictive accuracy.

symbolic-regression/llm-evaluation/healthcare/research
papersSEP 12 04:00 UTC

Conversational XAI interface aims to help operators interpret energy forecasting models

Researchers propose a chat-based explainability assistant designed to help building operators and facility managers understand predictions from complex energy consumption models, including symbolic regressors built with genetic programming. The tool is presented as a way to make model outputs more accessible to non-experts who manage energy use.

explainability/energy/arxiv/interface