A tale of perfect fit and phantom optima: how data-driven models can fail in real-time optimization

arXiv:2608.23885 · eess.SY, cs.AI, cs.SY · Submitted 2026-08-24 · Read on arXiv

eess.SY, cs.AI, cs.SY

Submitted: 2026-08-24

Updated: 2026-08-24

Code: https://github.com/ax-ml/jax

Project page: https://dakeprithvi.github.io

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Adam — 31× in this paper · explained in 2 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Distillation — 6× in this paper · explained in 2 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• Conservation Laws — 3× in this paper · explained in 3 episodes
• Objective Function — 3× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Center for Scientific Computing — 1× in this paper
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes

Sources

• A Simultaneous Approach for Training Neural Differential-Algebraic Systems of Equations
• Adam: A Method for Stochastic Optimization

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