3 papers
eess.IV2026
A Heterogeneous Ensemble for Multi-Center COVID-19 Classification from Chest CT Scans
Aadit Nilay, Bhavesh Thapar, Anant Agrawal +1
The COVID-19 pandemic exposed critical limitations in diagnostic workflows: RT-PCR tests suffer from slow turnaround times and high false-negative rates, while CT-based screening o…
cs.CV2025
Bringing together invertible UNets with invertible attention modules for memory-efficient diffusion models
Karan Jain, Mohammad Nayeem Teli
Diffusion models have recently gained state of the art performance on many image generation tasks. However, most models require significant computational resources to achieve this.…
cs.CL2025
My LLM might Mimic AAE -- But When Should it?
Sandra C. Sandoval, Christabel Acquaye, Kwesi Cobbina +2
We examine the representation of African American English (AAE) in large language models (LLMs), exploring (a) the perceptions Black Americans have of how effective these technolog…