This repo contains the code and model for UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings, we have developed a series of powerful generative multimodal embedding models that can ...

Abstract: Existing machine-learning research on power grids relies on online measurements without missing data. We propose a missing data reconstruction model based on generative adversarial networks ...

Abstract: Multi-step highway traffic flow prediction is crucial for intelligent transportation systems, and existing works have made significant advancements in this field. However, the physical ...

Hybrid privacy-aware semantic search: SVD-truncated document geometry and CKKS-encrypted query reranking under a restricted threat model Sergey Kurilenko Active Adversarial Perturbation-driven ...