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Showing papers from Indian Institute of Technology, Madras Show all papers

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CAB: Accelerating Flow and Diffusion Sampling via Rectification and Corrected Adams-Bashforth

CAB is a training-free sampler using rectified dynamics and a corrected multistep Adams-Bashforth predictor that achieves third-order local accuracy and improves quality-NFE trade-offs at 6, 20 steps across flow and diffusion models.

Anuska Roy, Pravin Ramachandran Nair

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 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
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Proper Scoring Rules for Agentic Uncertainty Quantification

Trajectory Proper Score is a strictly proper family of trajectory-level scoring rules that elicits full prefix-conditioned success probabilities, unlike resolution-blind calibration or collapsed scalar metrics.

Suresh Raghu, Satwik Pandey, Shashwat Pandey

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 3/5
medium 10/10
strict 3/5