Advancing the future of AI, robotics, and computational science through rigorous academic work.
A deep exploration into probabilistic inference systems optimized for autonomous navigation, robotics planning, and uncertainty-aware predictions.
Research on lightweight transformer models enabling high-accuracy inference on low-power IoT and embedded systems.
A novel approach to explaining the internal reasoning of deep neural networks using high-resolution attribution visualization.