research
∙
04/05/2023
Local Intrinsic Dimensional Entropy
Most entropy measures depend on the spread of the probability distributi...
share
research
∙
01/31/2023
Learning, Fast and Slow: A Goal-Directed Memory-Based Approach for Dynamic Environments
Model-based next state prediction and state value prediction are slow to...
research
∙
01/19/2023
On Finite Blocklength Lossy Source Coding
In this monograph, we review recent advances in second-order asymptotics...
research
∙
12/09/2022
AP: Selective Activation for De-sparsifying Pruned Neural Networks
The rectified linear unit (ReLU) is a highly successful activation funct...
research
∙
12/09/2022
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks
The importance of learning rate (LR) schedules on network pruning has be...
research
∙
12/09/2022
Improving Mutual Information based Feature Selection by Boosting Unique Relevance
Mutual Information (MI) based feature selection makes use of MI to evalu...
research
∙
12/09/2022
Towards Better Long-range Time Series Forecasting using Generative Forecasting
Long-range time series forecasting is usually based on one of two existi...
research
∙
07/14/2022
DropNet: Reducing Neural Network Complexity via Iterative Pruning
Modern deep neural networks require a significant amount of computing ti...
research
∙
07/13/2022
Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test Environments
Traditional reinforcement learning (RL) environments typically are the s...
research
∙
12/11/2021
Achieving Low Complexity Neural Decoders via Iterative Pruning
The advancement of deep learning has led to the development of neural de...
research
∙
10/17/2021
Towards Better Long-range Time Series Forecasting using Generative Adversarial Networks
Accurate long-range forecasting of time series data is an important prob...
research
∙
10/17/2021
S-Cyc: A Learning Rate Schedule for Iterative Pruning of ReLU-based Networks
We explore a new perspective on adapting the learning rate (LR) schedule...
research
∙
11/18/2019
Throughput Maximization with an Average Age of Information Constraint in Fading Channels
In the emerging fifth generation (5G) technology, communication nodes ar...
research
∙
11/14/2019
Long-range Prediction of Vital Signs Using Generative Boosting via LSTM Networks
Vital signs including heart rate, respiratory rate, body temperature and...
research
∙
01/02/2019
Generalized Sphere-Packing Bound for Subblock-Constrained Codes
We apply the generalized sphere-packing bound to two classes of subblock...
research
∙
12/02/2018
Feature Selection Based on Unique Relevant Information for Health Data
Feature selection, which searches for the most representative features i...
research
∙
07/24/2018
Are RLL Codes Suitable for Simultaneous Energy and Information Transfer?
Run-length limited (RLL) codes are a well-studied class of constrained c...
research
∙
06/29/2018
Multicasting Energy and Information Simultaneously
Communication systems for multicasting information and energy simultaneo...
research
∙
06/03/2018
Second-Order Asymptotically Optimal Statistical Classification
Motivated by real-world machine learning applications, we analyze approx...
research
∙
01/11/2018
Energy Harvesting Communications Using Dual Alternating Batteries
We consider an energy harvesting transmitter equipped with two batteries...
research
∙
01/11/2018
Hybrid NOMA-TDMA for Multiple Access Channels with Non-Ideal Batteries and Circuit Cost
We consider a multiple-access channel where the users are powered from b...
research
∙
01/11/2018
A Hybrid NOMA-TDMA for Multiple Access Channels with Non-Ideal Batteries and Circuit Cost
We consider a multiple-access channel where the users are powered from b...
research
∙
11/30/2017
The Dispersion of Universal Joint Source-Channel Coding for Arbitrary Sources and Additive Channels
We consider a universal joint source channel coding (JSCC) scheme to tra...
research
∙
11/27/2017