5 papers
Compositional Objectives: Learning Structure in Structure
Pranavchandra Vivekananda, Sumukh Bettadapura, Ajan Subramanian
Intelligence is defined in many ways. One of these definitions defines intelligence as the pursuit of learnable novelty. However, learnable novelty can be meaningless without the a…
Riding Brainwaves in LLM Space: Understanding Activation Patterns Using Individual Neural Signatures
Ajan Subramanian, Sumukh Bettadapura, Rohan Sathish
Consumer-grade EEG is entering everyday devices, from earbuds to headbands, raising the question of whether language models can be adapted to individual neural responses. We test t…
Real Eyes Realize Faster: Gaze Stability and Pupil Novelty for Efficient Egocentric Learning
Ajan Subramanian, Sumukh Bettadapura, Rohan Sathish
Always-on egocentric cameras are increasingly used as demonstrations for embodied robotics, imitation learning, and assistive AR, but the resulting video streams are dominated by r…
Personalized Counterfactual Framework: Generating Potential Outcomes from Wearable Data
Ajan Subramanian, Amir M. Rahmani
Wearable sensor data offer opportunities for personalized health monitoring, yet deriving actionable insights from their complex, longitudinal data streams is challenging. This pap…
Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis
Ajan Subramanian, Zhongqi Yang, Iman Azimi +1
Health monitoring systems have revolutionized modern healthcare by enabling the continuous capture of physiological and behavioral data, essential for preventive measures and early…