Microlensing Detection and Inference via Learned Bayes Factors

arXiv:2607.20260 · astro-ph.IM, astro-ph.EP, astro-ph.GA · Submitted 2026-07-22 · Read on arXiv

Nolan Smyth, Laurence Perreault-Levasseur, Yashar Hezaveh

astro-ph.IM, astro-ph.EP, astro-ph.GA

Submitted: 2026-07-22

Comments: Accepted at ICML 2026 AI for Physics Workshop

Code: https://github.com/NolanSmyth/evidence_networks_

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

Terminology

• Microlensing — 59× in this paper · explained in 2 episodes
• Transformer — 28× in this paper · explained in 2 episodes
• Calibration — 9× in this paper · explained in 7 episodes
• Neural Posterior Estimation — 7× in this paper
• AUC — 5× in this paper · explained in 2 episodes
• Adam — 5× in this paper · explained in 2 episodes
• Data Augmentation — 5× in this paper · explained in 7 episodes
• Unified Framework — 5× in this paper · explained in 5 episodes
• Degeneracy — 4× in this paper · explained in 3 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Failure Modes — 3× in this paper · explained in 3 episodes
• Neural posterior estimation (NPE) — 3× in this paper · explained in 2 episodes
• Normalizing Flow — 3× in this paper · explained in 3 episodes
• Simulation-based Inference — 2× in this paper · explained in 2 episodes
• Uncertainty Quantification — 2× in this paper · explained in 8 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Empirical Coverage — 1× in this paper · explained in 2 episodes
• Finite-Source Point-Lens — 1× in this paper
• Gravitational Lensing — 1× in this paper · explained in 2 episodes
• Markov Chain Monte Carlo — 1× in this paper
• Masked Autoregressive Flow — 1× in this paper
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

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