activity
20102025
most citedLearning to Invert: Signal Recovery via Deep Convolutional Networks

36 citations · 39 across the 6 of their papers we have counts for

collaborators

5 papers

cs.CL2024

ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA datasets with Large Language Models

Ronak Pradeep, Daniel Lee, Ali Mousavi +7

The rapid advancement of Large Language Models (LLMs) and conversational assistants necessitates dynamic, scalable, and configurable conversational datasets for training and evalua…

cs.CL2023

Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation

Ali Mousavi, Xin Zhan, He Bai +9

Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be used to train forward and reverse neural models that generate text from KG and vice versa. However models t…

cs.DB20233 cited

High-Throughput Vector Similarity Search in Knowledge Graphs

Jason Mohoney, Anil Pacaci, Shihabur Rahman Chowdhury +5

There is an increasing adoption of machine learning for encoding data into vectors to serve online recommendation and search use cases. As a result, recent data management systems…

stat.ML201736 cited

Learning to Invert: Signal Recovery via Deep Convolutional Networks

Ali Mousavi, Richard G. Baraniuk

The promise of compressive sensing (CS) has been offset by two significant challenges. First, real-world data is not exactly sparse in a fixed basis. Second, current high-performan…

cs.IT2010

A New Decoding Scheme for Errorless Codes for Overloaded CDMA with Active User Detection

Ali Mousavi, Pedram Pad, Farokh Marvasti

Recently, a new class of binary codes for overloaded CDMA systems are proposed that not only has the ability of errorless communication but also suitable for detecting active users…