Publications
Research publications from AIMS
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An explicit bound for Siegel zeros and the torsion of elliptic curves with complex multiplication Journal of Number Theory · 2026 DOI PDF -
Ternary mappings of some evolution algebras Afrika Mathemetika · 2026 The group scheme of ternary automorphisms of a perfect finite dimensional evolution algebra is computed. The main advantage of using group schemes is that it allows to apply the … DOI PDF -
The nonzero component graph of near-vector space Afrika Mathemetika · 2026 In this paper, we introduce a nonzero component graph of a finite-dimensional near-vector space constructed from a finite field. We investigate the relationship between the … DOI PDF
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Simulation-based inference with diffusion models for spatial statistics Workshop at the 7th Symposium on Advances in Approximate Bayesian Inference (2025) · 2025 Gaussian Process (GP) priors are widely used in spatial statistical models but suffer from cubic computational complexity in Markov Chain Monte Carlo (MCMC), limiting scalability. … PDF Code -
Constructing Q-Ideals for Boolean Semiring Partitioning Using Seeds Mathematics 13:8 (2025), 1250 · 2025 Semiring partitioning is widely used in mathematics, computer science, and data analysis. The purpose of this paper is to add to the theory of semirings by proposing a novel method … DOI PDF -
(Post-) apartheid's legacy of racialised microaggressions in mathematics teacher education Transformation in Higher Education, 10, (2025) · 2025 Few women living with the label of ‘coloured’ in South Africa find themselves employed in mathematics higher education. Transformation in mathematics education in South Africa has … DOI PDF -
Artificial intelligence for modelling infectious disease epidemics Nature 638, 623-635 (2025) · 2025 Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already … DOI PDF -
Efficient Quantum Gibbs Sampling with Local Circuits Arxiv · 2025 The problem of simulating the thermal behavior of quantum systems remains a central open challenge in quantum computing. Unlike well-established quantum algorithms for unitary … DOI PDF -
Kernel Based Dequantization of Variational QML without Random Fourier Features Arxiv · 2025 There is currently a huge effort to understand the potential and limitations of variational quantum machine learning (QML) based on the optimization of parameterized quantum … DOI PDF
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New perspectives on quantum kernels through the lens of entangled tensor kernels Arxiv · 2025 Quantum kernel methods are one of the most explored approaches to quantum machine learning. However, the structural properties and inductive bias of quantum kernels are not fully … DOI PDF
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Primitive hyperideals and hyperstructure spaces of hyper rings Categories and General Algebraic Structures with Applications 22:1 (2025), 157-173. · 2025 We introduce primitive hyperideals of a hyperring R and show how they are related to R itself, and to maximal and prime hyperideals of R. We endow a Jacobson topology on the set of … DOI PDF -
Wavefunction Flows: Efficient Quantum Simulation of Continous Flow Models Arxiv · 2025 Flow models are a cornerstone of modern machine learning. They are generative models that progressively transform probability distributions according to learned dynamics. … DOI PDF
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Automatic identification of the endangered hawksbill sea turtle behavior using deep learning and cross-species transfer learning Journal of Experimental Biology · 2024 The accelerometer, an onboard sensor, enables remote monitoring of animal posture and movement, allowing researchers to deduce behaviors. Despite the automated analysis … DOI PDF Code -
A benchmark for computational analysis of animal behavior, using animal-borne tags Mouvement Ecology · 2024 Animal-borne sensors (‘bio-loggers’) can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. … DOI PDF -
Correlating Variational Autoencoders Natively for Multi-View Imputation UniReps: the Second Workshop on Unifying Representations in Neural Models (2025) · 2024 Multi-view data from the same source often exhibit correlation. This is mirrored in correlation between the latent spaces of separate variational autoencoders (VAEs) trained on … DOI PDF -
Empirical evaluation of variational autoencoders and denoising diffusion models for data augmentation in bioacoustics classification South African Computer Science and Information Systems Research Trends. SAICSIT 2024. Communications in Computer and Information Science · 2024 The accelerometer, an onboard sensor, enables remote monitoring of animal posture and movement, allowing researchers to deduce behaviors. Despite the automated analysis … DOI PDF -
Experiencing education as misrecognised “Coloured” women in South Africa Journal of Education (University of KwaZulu-Natal) 95:112-125 · 2024 Much has been written about the oppression suffered by marginalised groups in South Africa. From the literature, we can gain some sense of what it means to be relegated to racial … DOI PDF -
Transformation in school leadership: Voices of female leaders SciencePress, Education Applications & Developments IX, Chapter 34:409-415 · 2024 Due to an apartheid regime, South Africa was demarcated according to race classifications of ‘white’, ‘coloured’, Indian and ‘black’. Race classifications determined where one … PDF -
Identifying prey capture events of a free-ranging marine predator using bio-logger data and deep learning Royal Society Open Science · 2024 Marine predators are integral to the functioning of marine ecosystems, and their consumption requirements should be integrated into ecosystem-based management policies. However, … DOI PDF Code -
An integrated passive acoustic monitoring and deep learning pipeline for black-and-white ruffed lemurs (Varecia variegata) in Ranomafana National Park, Madagascar American Journal of Primatology · 2024 The urgent need for effective wildlife monitoring solutions in the face of global biodiversity loss has resulted in the emergence of conservation technologies such as passive … DOI PDF Code -
Improving deep learning acoustic classifiers with contextual information for wildlife monitoring Ecological Informatics · 2023 Bioacoustics, the exploration of animal vocalizations and natural soundscapes, has emerged as a valuable tool for studying species within their habitats, particularly those that … DOI PDF Code
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