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20202026
most citedDeep Reinforcement Learning for Inverse Inorganic Materials Design

5 citations · 14 across the 8 of their papers we have counts for

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cond-mat.stat-mech2026

MetaDNS: Enhancing Exploration in Discrete Neural Samplers via Well-Tempered Metadynamics

Xiaochen Du, Juno Nam, Jaemoo Choi +7

Sampling from discrete distributions with multiple modes and energy barriers is fundamental to machine learning and computational physics. Recent discrete neural samplers like MDNS…