research
∙
09/20/2023
Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation
Datasets that pair Knowledge Graphs (KG) and text together (KG-T) can be...
share
research
∙
05/16/2023
Growing and Serving Large Open-domain Knowledge Graphs
Applications of large open-domain knowledge graphs (KGs) to real-world p...
research
∙
04/04/2023
High-Throughput Vector Similarity Search in Knowledge Graphs
There is an increasing adoption of machine learning for encoding data in...
research
∙
09/27/2022
Hamiltonian Adaptive Importance Sampling
Importance sampling (IS) is a powerful Monte Carlo (MC) methodology for ...
research
∙
01/26/2021
Adaptive Neuro Fuzzy Networks based on Quantum Subtractive Clustering
Data mining techniques can be used to discover useful patterns by explor...
research
∙
07/27/2020
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
Off-policy evaluation (OPE) in reinforcement learning is an important pr...
research
∙
03/24/2020
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning
Off-policy estimation for long-horizon problems is important in many rea...
research
∙
05/26/2018
Unsupervised Learning with Stein's Unbiased Risk Estimator
Learning from unlabeled and noisy data is one of the grand challenges of...
research
∙
07/11/2017
DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks
In this paper we develop a novel computational sensing framework for sen...
research
∙
04/21/2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery
Compressive image recovery is a challenging problem that requires fast a...
research
∙
01/14/2017
Learning to Invert: Signal Recovery via Deep Convolutional Networks
The promise of compressive sensing (CS) has been offset by two significa...
research
∙
11/03/2015
Consistent Parameter Estimation for LASSO and Approximate Message Passing
We consider the problem of recovering a vector β_o ∈R^p from n random an...
research
∙
08/17/2015
A Deep Learning Approach to Structured Signal Recovery
In this paper, we develop a new framework for sensing and recovering str...
research
∙
09/23/2013