10 papers
Choi--Jamiołkowski-type isomorphisms for von Neumann algebras
Marcin Marciniak, Michał Cholewiak
The Choi--Jamiołkowski isomorphism identifies completely positive maps with bipartite states and underlies much of finite-dimensional quantum information theory. For systems with i…
PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations
Pavel Iakovets, Liyanapathiranage Sudeepika Wajirakumari Samarathunga, Martin Thomas Horsch +1
Counterfactual explanations explain machine learning predictions by identifying minimal input changes that would alter a model's decision. Although many existing methods successful…
: Physics-Guided Neural Ordinary Differential Equations for Tuberculosis Transmission Dynamics
Selain K. Kasereka, Eric M. Mafuta, Fadi Al Machot +3
Tuberculosis (TB) remains a leading global infectious disease, causing approximately 1.3 million deaths and 10.6 million new infections annually. Classical compartmental ODE models…
NASP-T: A Fuzzy Neuro-Symbolic Transformer for Logic-Constrained Aviation Safety Report Classification
Fadi Al Machot, Fidaa Al Machot
Deep transformer models excel at multi-label text classification but often violate domain logic that experts consider essential, an issue of particular concern in safety-critical a…
RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning
William Heyden, Habib Ullah, M. Salman Siddiqui +1
In Generalized Zero-Shot Learning (GZSL), we aim to recognize both seen and unseen categories using a model trained only on seen categories. In computer vision, this translates int…
HADL Framework for Noise Resilient Long-Term Time Series Forecasting
Aditya Dey, Jonas Kusch, Fadi Al Machot
Long-term time series forecasting is critical in domains such as finance, economics, and energy, where accurate and reliable predictions over extended horizons drive strategic deci…