research
∙
05/12/2023
Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks
We investigate the problem of wireless routing in integrated access back...
share
research
∙
01/02/2023
Data-Driven Optimization of Directed Information over Discrete Alphabets
Directed information (DI) is a fundamental measure for the study and ana...
research
∙
03/28/2022
Neural Estimation and Optimization of Directed Information over Continuous Spaces
This work develops a new method for estimating and optimizing the direct...
research
∙
10/20/2021
A Study On Data Augmentation In Voice Anti-Spoofing
In this paper, we perform an in-depth study of how data augmentation tec...
research
∙
07/15/2021
The Feedback Capacity of Noisy Output is the STate (NOST) Channels
We consider finite-state channels (FSCs) where the channel state is stoc...
research
∙
07/16/2020
Amended Cross Entropy Cost: Framework For Explicit Diversity Encouragement
Cross Entropy (CE) has an important role in machine learning and, in par...
research
∙
07/18/2019
Graph-Based Encoders and their Performance for Finite-State Channels with Feedback
The capacity of unifilar finite-state channels in the presence of feedba...
research
∙
05/23/2018
Highway State Gating for Recurrent Highway Networks: improving information flow through time
Recurrent Neural Networks (RNNs) play a major role in the field of seque...
research
∙
08/29/2017
