Moshe Eliasof

A Critical Audit of Spatiotemporal Forecasting Benchmark Datasets and Baselines

Attention Graphons: A Graph Limit Perspective on Graph Transformers

Graph Transformers produce, for each attention head, a dense $n\times n$ matrix of learned pairwise interactions. We ask a fundamental question: do these attention-induced graphs converge to a stable limit object as $n$ grows, or does the learned interaction pattern remain unstructured and size-dependent? We answer thi...

GeoCFM: Positive-Only Conditional Flow Matching for Mineral Occurrence Sampling

GeoCFM is introduced, a conditional flow-matching model that generates mineral occurrence point sets conditioned on multi-channel geo-images that improves geometric agreement with observed occurrences over score-map and non-conditional baselines, while representing epistemic uncertainty through conditional sampling.

Iterative Flow Matching - Path Correction and Gradual Refinement for Enhanced Generative Modeling

This work explores image generation using flow matching using flow matching and proposes an iterative process that can be integrated into virtually any generative modeling technique, thereby enhancing the performance and robustness of image synthesis systems.