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Showing papers from University of Utah Show all papers

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Test-Time Sequential Steering of Diffusion Models via Preconditioned Crank-Nicolson

Joel Keller, Taos Transue, Qin Li, Shih-Hsin Wang and 1 more

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

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medium 0/10
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57%Worth a look
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DeFlowCritic: Dense Latent Reward Alignment for Text-to-Image Flow Matching Models

Zeeshan Khan, Xin Yu, Shizhe Chen, Cordelia Schmid

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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AI panel: 1 of 20 reviewers recommend it
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medium 0/10
strict 0/5
57%Worth a look
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BigCell: Generating Gigapixel Whole-Slide Images

Srikar Yellapragada, Alexandros Graikos, Zilinghan Li, Kostas Triaridis and 9 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
91%Must read
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AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators

AgentCollabBench introduces 900 diagnostic tasks showing multi-agent collaboration failures stem from topology, not just model capability. Communication topology explains 7-40% of variance as converging nodes discard minority-branch constraints.

Aritra Mazumder, Shubhashis Roy Dipta, Nusrat Jahan Lia, Tanzila Khan and 9 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 4/5
71%Highly rated
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BSTabDiff: Block-Subunit Diffusion Priors for High-Dimensional Tabular Data Generation

BSTabDiff partitions high-dimensional tabular features into latent blocks with shared subunits to learn global dependencies in compact space, enabling stable synthesis of realistic HDLSS data with copula-driven dependence and explicit missingness.

Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna K Gyawali, Gianfranco Doretto and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 4

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AI panel: 6 of 20 reviewers recommend it
lenient 5/5
medium 1/10
strict 0/5
72%Highly rated
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Optimizing Computational-Statistical Runtime for Wasserstein Distance Estimation

<|message_model|><|content_text|>A Sample-Sketch-Solve paradigm estimates squared Wasserstein distance between smooth distributions within ε error in near-optimal time. For α-Hölder smooth distributions on (0,1)^d it achieves ε^{-max(2,(d+1+o(1))/(1+α))} runtime, with optimal Θ(ε^{-2}) in 2D for α>1

Peter M Jacobs, Jeff M Phillips

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 4/10
strict 2/5
88%Must read
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TimeWarp: Evaluating Web Agents by Revisiting the Past

TimeWarp evaluates web agents on evolving UIs, finding vision agents vulnerable to changes and fine-tuned text agents brittle, while plan-distillation training via TimeTraj substantially improves robustness.

Farhan Ishmam, Kenneth Marino

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · Code ★ 4

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5