21 citations · 41 across the 20 of their papers we have counts for
24 papers
Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning
Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao +3
Tsetlin Machines (TMs) have garnered increasing interest for their ability to learn concepts via propositional formulas and their proven efficiency across various application domai…
State Representation Learning Using an Unbalanced Atlas
Li Meng, Morten Goodwin, Anis Yazidi +1
The manifold hypothesis posits that high-dimensional data often lies on a lower-dimensional manifold and that utilizing this manifold as the target space yields more efficient repr…
A Conceptual Algorithm for Applying Ethical Principles of AI to Medical Practice
Debesh Jha, Gorkem Durak, Vanshali Sharma +12
Artificial Intelligence (AI) is poised to transform healthcare delivery through revolutionary advances in clinical decision support and diagnostic capabilities. While human experti…
Unsupervised Representation Learning in Partially Observable Atari Games
Li Meng, Morten Goodwin, Anis Yazidi +1
State representation learning aims to capture latent factors of an environment. Contrastive methods have performed better than generative models in previous state representation le…
Combining datasets to increase the number of samples and improve model fitting
Thu Nguyen, Rabindra Khadka, Nhan Phan +3
For many use cases, combining information from different datasets can be of interest to improve a machine learning model's performance, especially when the number of samples from a…
Towards the Neuroevolution of Low-level Artificial General Intelligence
Sidney Pontes-Filho, Kristoffer Olsen, Anis Yazidi +3
In this work, we argue that the search for Artificial General Intelligence (AGI) should start from a much lower level than human-level intelligence. The circumstances of intelligen…