12 citations · 35 across the 11 of their papers we have counts for
5 papers · 1 filter
MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs
Quang H. Nguyen, Thinh Dao, Duy C. Hoang +4
The rapid progress in machine learning (ML) has brought forth many large language models (LLMs) that excel in various tasks and areas. These LLMs come with different abilities and…
Walk-and-Relate: A Random-Walk-based Algorithm for Representation Learning on Sparse Knowledge Graphs
Saurav Manchanda
Knowledge graph (KG) embedding techniques use structured relationships between entities to learn low-dimensional representations of entities and relations. The traditional KG embed…
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs
Saurav Manchanda, Da Zheng, George Karypis
Graph convolutional network (GCN) based approaches have achieved significant progress for solving complex, graph-structured problems. GCNs incorporate the graph structure informati…
Regression via Implicit Models and Optimal Transport Cost Minimization
Saurav Manchanda, Khoa Doan, Pranjul Yadav +1
This paper addresses the classic problem of regression, which involves the inductive learning of a map, , denoting noise, $f:\mathbb{R}^n\times \mathbb{R}^k \rightarr…
Targeted display advertising: the case of preferential attachment
Saurav Manchanda, Pranjul Yadav, Khoa Doan +1
An average adult is exposed to hundreds of digital advertisements daily (https://www.mediadynamicsinc.com/uploads/files/PR092214-Note-only-150-Ads-2mk.pdf), making the digital adve…