activity
20222026
most citedW-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting

44 citations · 88 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2026

MANDALA: An E(3)-Equivariant Graph Neural Network Framework for Learning Electronic-Structure Operators with Observable Guidance

Bartosz Brzoza, Wiktoria Szopa, Zakaria Elabid +5

Electronic-structure calculations based on Kohn-Sham density functional theory remain indispensable in computational materials science and chemistry. Their computational cost, howe…

cs.LG2026

Molecules Meet Language: Confound-Aware Representation Learning and Chemical Property Steering in Transformer-VAE Latent Spaces

Zakaria Elabid, Jan Andrzejewski, Bartosz Brzoza +1

Molecular generative models often assume meaningful latent geometry, but apparent property predictability can reflect sequence-level shortcuts rather than chemical organization. We…

cs.LG2024

TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data

Zakaria Elabid, Lena Sasal, Daniel Busby +1

Accurately forecasting dynamic processes on graphs, such as traffic flow or disease spread, remains a challenge. While Graph Neural Networks (GNNs) excel at modeling and forecastin…

cs.LG2024

Knowledge-Based Convolutional Neural Network for the Simulation and Prediction of Two-Phase Darcy Flows

Zakaria Elabid, Daniel Busby, Abdenour Hadid

Physics-informed neural networks (PINNs) have gained significant prominence as a powerful tool in the field of scientific computing and simulations. Their ability to seamlessly int…

cs.LG2022★ 44 cited

Knowledge-based Deep Learning for Modeling Chaotic Systems

Zakaria Elabid, Tanujit Chakraborty, Abdenour Hadid

Deep Learning has received increased attention due to its unbeatable success in many fields, such as computer vision, natural language processing, recommendation systems, and most…

cs.LG2022★ 44 cited

W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting

Lena Sasal, Tanujit Chakraborty, Abdenour Hadid

Deep learning utilizing transformers has recently achieved a lot of success in many vital areas such as natural language processing, computer vision, anomaly detection, and recomme…