4 papers
Temporal Reasoning in AI systems
Abhishek Sharma
Commonsense temporal reasoning at scale is a core problem for cognitive systems. The correct inference of the duration for which fluents hold is required by many tasks, including n…
A Coordination-based Approach for Focused Learning in Knowledge-Based Systems
Abhishek Sharma
Recent progress in Learning by Reading and Machine Reading systems has significantly increased the capacity of knowledge-based systems to learn new facts. In this work, we discuss…
Growth Patterns of Inference
Abhishek Sharma
What properties of a first-order search space support/hinder inference? What kinds of facts would be most effective to learn? Answering these questions is essential for understandi…
Advancing Parkinson's Disease Progression Prediction: Comparing Long Short-Term Memory Networks and Kolmogorov-Arnold Networks
Abhinav Roy, Bhavesh Gyanchandani, Aditya Oza +1
Parkinson's Disease (PD) is a degenerative neurological disorder that impairs motor and non-motor functions, significantly reducing quality of life and increasing mortality risk. E…