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NeurIPS 2026Iowa StateAnomaly detection

Online Change-point Detection using Foundation Probabilistic Forecasting Models

Alan Moore, Zhengyuan Zhu, Lynna Chu

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

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NeurIPS 2026Iowa State UniveristyIowa StateIowa state universityQuantization

Coverage-Based Calibration for Post-Training Quantization via Weighted Maximum Coverage over Outlier Channels

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Iowa State UniveristyIowa StateIowa state universityLink prediction

Sparsifying Correlation Clustering: Edge Coresets, Triangle Witnesses, and Observation Lower Bounds

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

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

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NeurIPS 2026Iowa State UniveristyIowa StateIowa state universityOptimization

Differentiable Range-Partition Entropy for Entropy-Sensitive Geometric Algorithms

Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma

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

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NeurIPS 2026DePaulIowa StateDeep learning theory

Feature Learning Dynamics in Infinite-Depth Neural Networks

For one-layer ResNets under depth-μP scaling, reused-weight forward-backward coupling vanishes at initialization but SGD induces surviving correlations suppressed by depth, yielding a rigorous infinite-depth Neural Feature Dynamics limit.

Zihan Yao, Ruoyu Wu, Tianxiang Gao

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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