research
∙
09/03/2023
Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition
Existing large language models (LLMs) are known for generating "hallucin...
share
research
∙
07/14/2023
From Multilayer Perceptron to GPT: A Reflection on Deep Learning Research for Wireless Physical Layer
Most research studies on deep learning (DL) applied to the physical laye...
research
∙
03/13/2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Data-driven machine learning (ML) is promoted as one potential technolog...
research
∙
02/22/2023
Physically Consistent Models for Intelligent Reflective Surface-assisted Communications under Mutual Coupling and Element Size Constraint
We investigate the benefits of mutual coupling effects between the passi...
research
∙
01/12/2023
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images
Despite continued advancement in recent years, deep neural networks stil...
research
∙
11/19/2022
Continual Learning-Based MIMO Channel Estimation: A Benchmarking Study
With the proliferation of deep learning techniques for wireless communic...
research
∙
08/04/2022
A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic Cultural Manifestations in Tunisia, and the Impact of Digital Tools
The evolution of behavior of dermatology patients has seen significantly...
research
∙
08/02/2022
Super-Wideband Massive MIMO
We present a unified model for connected antenna arrays with a massive (...
research
∙
03/26/2022
Dynamic Noises of Multi-Agent Environments Can Improve Generalization: Agent-based Models meets Reinforcement Learning
We study the benefits of reinforcement learning (RL) environments based ...
research
∙
11/17/2021
Achievable Rate of Near-Field Communications Based on Physically Consistent Models
This paper introduces a novel information-theoretic approach for studyin...
research
∙
11/16/2021
On Bock's Conjecture Regarding the Adam Optimizer
In 2014, Kingma and Ba published their Adam optimizer algorithm, togethe...
research
∙
10/30/2021
Optimizing Binary Symptom Checkers via Approximate Message Passing
Symptom checkers have been widely adopted as an intelligent e-healthcare...
research
∙
08/30/2021
Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms
Backpropagation is the default algorithm for training deep neural networ...
research
∙
11/11/2020
Achievable Rate with Antenna Size Constraint: Shannon meets Chu and Bode
The achievable rate of existing wireless systems is commonly studied bas...
research
∙
09/15/2020
Bilinear Generalized Vector Approximate Message Passing
We introduce the bilinear generalized vector approximate message passing...
research
∙
06/26/2020
Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning
The emergence of new wireless technologies together with the requirement...
research
∙
02/13/2020
Simultaneous Energy Harvesting and Information Transmission in a MIMO Full-Duplex System: A Machine Learning-Based Design
We propose a multiple-input multiple-output (MIMO)-based full-duplex (FD...
research
∙
02/01/2020
Machine Ethics: The Creation of a Virtuous Machine
Artificial intelligent (AI) was initially developed as an implicit moral...
research
∙
01/29/2020
Multiple Access in Dynamic Cell-Free Networks: Outage Performance and Deep Reinforcement Learning-Based Design
In future cell-free (or cell-less) wireless networks, a large number of ...
research
∙
08/09/2019
On the Adversarial Robustness of Neural Networks without Weight Transport
Neural networks trained with backpropagation, the standard algorithm of ...
research
∙
04/10/2019
Deep Learning without Weight Transport
Current algorithms for deep learning probably cannot run in the brain be...
research
∙
04/10/2019
Using Weight Mirrors to Improve Feedback Alignment
Current algorithms for deep learning probably cannot run in the brain be...
research
∙
03/08/2019
Improving Skin Condition Classification with a Visual Symptom Checker trained using Reinforcement Learning
We present a visual symptom checker that combines a pre-trained Convolut...
research
∙
03/03/2019
Hacking Google reCAPTCHA v3 using Reinforcement Learning
We present a Reinforcement Learning (RL) methodology to bypass Google re...
research
∙
11/15/2018
Improving Skin Condition Classification with a Question Answering Model
We present a skin condition classification methodology based on a sequen...
research
∙
03/16/2018