3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2026
CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics
Gyanendra Shrestha, Anna Pyayt, Michael Gubanov
Large pre-trained models (LMs) and Large Language Models (LLMs) are typically effective at capturing language semantics and contextual relationships. However, these models encounte…
cs.CL2025
Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting
Gyanendra Shrestha, Chutain Jiang, Sai Akula +3
Embeddings serve as condensed vector representations for real-world entities, finding applications in Natural Language Processing (NLP), Computer Vision, and Data Management across…
cs.DB2013★ 3 cited
BigDB: Automatic Machine Learning Optimizer
Anna Pyayt, Michael Gubanov
In this short vision paper, we introduce a machine learning optimizer for data management and describe its architecture and main functionality.