Neural-Network Maxent: a general extension with learned nonlinearity, applied to time-series for Desert Locust distribution modelling

arXiv:2609.03603 · cs.LG, eess.IV, physics.data-an, q-bio.PE · Submitted 2026-09-03 · Read on arXiv

cs.LG, eess.IV, physics.data-an, q-bio.PE

Submitted: 2026-09-03

Updated: 2026-09-03

Terminology

• Desert Locust — 49× in this paper
• Calibration — 10× in this paper · explained in 7 episodes
• AUC — 5× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Gated Recurrent Unit — 3× in this paper
• Species Distribution Modelling — 3× in this paper
• Aggregation — 2× in this paper · explained in 1 episode
• Leaf Area Index — 2× in this paper
• Abundance — 1× in this paper · explained in 1 episode
• Computational Biology — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Digital Twin — 1× in this paper · explained in 4 episodes
• Lambert Azimuthal Equal-Area — 1× in this paper

Sources

• Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
• Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
• Finite-sample equivalence in statistical models for presence-only data

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