Author

Eli Bingham

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Jul 2026

Wasserstein Residuals: Learning Gradient Flows from Population Dynamics

It is demonstrated that the stitching method achieves state-of-the-art performance across trajectory inference benchmarks, and unifies several existing methods and leads to a new particle-based method, stitching, that is simulation-free and robust to large gaps between observations.

Markus Heinonen, Yair Shenfeld, R. Baptista et al. · arXiv.org · 0 citations

AutoJudger : An Adaptive Evaluation Framework for Efficient Benchmarking of MLLMs

This work introduces A 2 -Judger, a novel MLLM-based A gentic instantiation of A uto Judger equipped with semantic-aware retrieval and dynamic memory that significantly improves sample efficiency while maintaining reliable evaluation results.

Xuanwen Ding, Chengjun Pan, Zejun Li et al. · 0 citations