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It Just Takes Two: Scaling Amortized Inference to Large Sets
A mean-pool DeepSet trained on pairs learns set encoders that generalize to arbitrary sizes, letting inference heads scale to thousands of observations with minimal compute.
Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026
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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 3/5