1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19
On 26 Jan, 2023 By admin 0 Comments
Machine Learning
Imitating Human Behaviour with Diffusion Models
On 26 Jan, 2023 By admin 0 Comments
January, 2023
Abstract
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System
On 26 Jan, 2023 By admin 0 Comments
January, 2023
Abstract
In this work, we present ARDIAS, a web-based application that aims to provide researchers with a full suite of discovery and collaboration tools. ARDIAS currently allows searching for authors and articles by name and gaining insights into the research topics of a particular researcher. With the aid of AI-based tools, ARDIAS aims to recommend potential collaborators and topics to researchers. In the near future, we aim to add tools that allow researchers to communicate with each other and start new projects.
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective
On 26 Jan, 2023 By admin 0 Comments
Machine Learning Introduction
On 18 Jan, 2023 By admin 0 Comments
Scaling Laws for Reward Model Overoptimization
On 13 Jan, 2023 By admin 0 Comments
October, 2022
Abstract
Scaling Laws for a Multi-Agent Reinforcement Learning Model
On 13 Jan, 2023 By admin 0 Comments
September, 2022
Abstract
Scaling Scaling Laws with Board Games
On 13 Jan, 2023 By admin 0 Comments
April, 2021
Abstract
Discovering and forecasting extreme events via active learning in neural operators
On 8 Jan, 2023 By admin 0 Comments
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
On 3 Jan, 2023 By admin 0 Comments