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Showing papers from Seoul National University Google DeepMind Show all papers

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Merging RLVR-Trained Experts via Policy-Shift-Guided Spectral Alignment

Geeho Kim, MINSIK CHOI, Kyle Min, Young Geun Kim and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
76%Highly rated
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Probabilistic Signature Inversion: Learning Conditional Distributions from Truncated Signatures

Truncated signature inversion is reframed as learning conditional path distributions via signature-conditioned flow matching, with derived Bayes error baselines and validated reconstruction on real data.

Junoh Kang, Kiseop Lee, Bohyung Han

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 1/5