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News/EvoBench: An Evolving, Diagnostic Benchmark Framework for Environmental Modeling
arxiv
PublishedOctober 28, 2026 at 4:00 AM

EvoBench: An Evolving, Diagnostic Benchmark Framework for Environmental Modeling

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arXiv:2610.35464v1 Announce Type: cross Abstract: Machine learning models are now widely used to predict environmental variable dynamics in domains like hydrology, climate science, agriculture, and ecology. These models are usually compared on fixed benchmark datasets using a single average accuracy

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arxivMAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation2harxivCounterfactual Model Testing Under Distribution Shift2harxivCentralized Critics for N-Agent Ad Hoc Teamwork2harxivWhere and What to Reward? Understanding Generalization Between Verifiable and Open-Ended Domains in Reinforcement Learning2h
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