6 papers
DocDjinn: Controllable Synthetic Document Generation with VLMs and Handwriting Diffusion
Marcel Lamott, Saifullah Saifullah, Nauman Riaz +11
Effective document intelligence models rely on large amounts of annotated training data. However, procuring sufficient and high-quality data poses significant challenges due to the…
From Regression to Classification: Exploring the Benefits of Categorical Representations of Energy in MLIPs
Ahmad Ali
Density Functional Theory (DFT) is a widely used computational method for estimating the energy and behavior of molecules. Machine Learning Interatomic Potentials (MLIPs) are model…
Agentic AI Framework for Smart Inventory Replenishment
Toqeer Ali Syed, Salman Jan, Gohar Ali +3
In contemporary retail, the variety of products available (e.g. clothing, groceries, cosmetics, frozen goods) make it difficult to predict the demand, prevent stockouts, and find h…
Agentic AI Framework for Cloudburst Prediction and Coordinated Response
Toqeer Ali Syed, Sohail Khan, Salman Jan +4
The challenge is growing towards extreme and short-duration rainfall events like a cloudburst that are peculiar to the traditional forecasting systems, in which the predictions and…
Agentic AI Framework for Individuals with Disabilities and Neurodivergence: A Multi-Agent System for Healthy Eating, Daily Routines, and Inclusive Well-Being
Salman Jan, Toqeer Ali Syed, Gohar Ali +3
The paper presents a detailed Agentic Artificial Intelligence (AI) model that would enable people with disabilities and neurodivergence to lead healthier lives and have more regula…
Evaluating Generative Models for Tabular Data: Novel Metrics and Benchmarking
Dayananda Herurkar, Ahmad Ali, Andreas Dengel
Generative models have revolutionized multiple domains, yet their application to tabular data remains underexplored. Evaluating generative models for tabular data presents unique c…