Adaptive Conformal Prediction for Image Regression Models with Application to an Inertial Confinement Fusion Emulator

arXiv:2610.00535 · stat.ML, cs.LG · Submitted 2026-09-30 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-09-30

Updated: 2026-09-30

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

Terminology

• Conformal Prediction — 45× in this paper · explained in 5 episodes
• Uncertainty Quantification — 14× in this paper · explained in 8 episodes
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Foundation Model — 4× in this paper · explained in 3 episodes
• Empirical Coverage — 3× in this paper · explained in 2 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Monte Carlo dropout — 3× in this paper · explained in 2 episodes
• Adaptivity — 2× in this paper · explained in 1 episode
• Exchangeability — 2× in this paper · explained in 2 episodes
• National Ignition Facility — 2× in this paper
• Principal Component Analysis — 2× in this paper
• Principal Component Analysis (PCA) — 2× in this paper · explained in 4 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adaptive Conformal Prediction with Nearest Neighbors — 1× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Gaussian Process with Automatic Relevance Determination — 1× in this paper
• Gaussian Processes (GPs) — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• In Medical Imaging with Deep Learning — 1× in this paper
• International Conference on Machine Learning — 1× in this paper
• Interpretability — 1× in this paper · explained in 15 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling
• Optimal Overlap Detection of Shotgun Reads

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