Anis Yazidi — accepted AI-conference papers

2025

Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning

Mohamed-Bachir Belaid, Jivitesh Sharma, Lei Jiao, Ole-Christoffer Granmo, Per-Arne Andersen, Anis Yazidi

AAAI 2025technical

Tsetlin Machines (TMs) have garnered increasing interest for their ability to learn concepts via propositional formulas and their proven efficiency across various application domains. Despite this, the convergence proof for the TMs, particularly for the AND operator (conjunction of literals), in the…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2024

Inducing Inductive Bias in Vision Transformer for EEG Classification

Rabindra Khadka, Pedro G. Lind, Gustavo B. M. Mello, Michael A. Riegler, Anis Yazidi

ICASSP 2024accepted

Human brain signals are highly complex and dynamic in nature. Electroencephalogram (EEG) devices capture some of this complexity, both in space and in time, with a certain resolution. Recently, transformer-based models have been explored in various applications with different modalities of data. In…

Cited by 0 Source ↗Scholar ↗

2024

State Representation Learning Using an Unbalanced Atlas

Li Meng, Morten Goodwin, Anis Yazidi, Paal E. Engelstad

ICLR 2024poster

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 representations. While numerous traditional manifold-based techniques exist for dimensionality reduction, their application…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗