research
∙
08/19/2023
Utilizing Semantic Textual Similarity for Clinical Survey Data Feature Selection
Survey data can contain a high number of features while having a compara...
share
research
∙
07/06/2023
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation
Extracorporeal membrane oxygenation (ECMO) is an essential life-supporti...
research
∙
06/29/2023
Secret-Free Device Pairing in the mmWave Band
Many Next Generation (NextG) applications feature devices that are capab...
research
∙
06/21/2023
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation
One of the fundamental challenges in causal inference is to estimate the...
research
∙
04/24/2023
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion
An essential problem in causal inference is estimating causal effects fr...
research
∙
04/10/2023
Linking a predictive model to causal effect estimation
A predictive model makes outcome predictions based on some given feature...
research
∙
02/19/2023
Disentangled Representation for Causal Mediation Analysis
Estimating direct and indirect causal effects from observational data is...
research
∙
11/29/2022
Causal Inference with Conditional Instruments using Deep Generative Models
The instrumental variable (IV) approach is a widely used way to estimate...
research
∙
08/31/2022
Wiggle: Physical Challenge-Response Verification of Vehicle Platooning
Autonomous vehicle platooning promises many benefits such as fuel effici...
research
∙
08/19/2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness
Much research has been devoted to the problem of learning fair represent...
research
∙
07/21/2021
PoF: Proof-of-Following for Vehicle Platoons
Cooperative vehicle platooning significantly improves highway safety and...
research
∙
06/04/2021