[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

[ECCV 2024] Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention

Implementation of framework and reproduction of figures from "A Modularized Efficient Framework for Non-Markov Time Series Estimation" (https://arxiv.org/abs/1706.04685)

Assignments completed for my Machine Learning course: Topics include probability and statistics proofs, MLE/MAP parameter estimation, EM Algorithm, Bayes Theorem implementations, gradient descent methods, Neural Networks and Deep Learning.