1 citations · 1 across the 4 of their papers we have counts for
4 papers
GraM-Diff: A Unified Graph-Mamba Diffusion Framework for EEG-Based Alzheimer's Disease Data Generation and Diagnosis
M. Tanveer, Ayush Singh Rana, Sanskriti Jain +5
Electroencephalography (EEG) is a promising, non-invasive, and cost-effective modality for Alzheimer's disease (AD) detection, but deep learning methods are limited by small and im…
Large Models for Small Devices: Recent Advances and Empirical Analysis of Edge AI Deployment
Subhransu Das, Jiaming Cheng, Arnav Kumar +6
Running large AI models on resource-constrained edge devices requires model compression to reduce model size and computation. What compresses well, however, need not deploy well. W…
Diagnosing and Debiasing Corpus-Based Political Bias and Insults in GPT2
Ambri Ma, Arnav Kumar, Brett Zeligson
The training of large language models (LLMs) on extensive, unfiltered corpora sourced from the internet is a common and advantageous practice. Consequently, LLMs have learned and i…
Ball-AR: Fostering Playful Co-Located Interaction Through Environment-centric Physical Activity with AR
Arnav Kumar, Andrés Monroy-Hernández
We present Ball-AR, an augmented reality (AR) game where two players in the same physical space attempt to hit each other with virtual dodgeballs overlaid on the physical world. Re…