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

map estimation of topic models

DRAM error-correction code (ECC) simulator incorporating statistical error properties and DRAM design characteristics for inferring pre-correction error characteristics using only the post-correction errors. Described in the 2019 DSN paper by Patel et al.: https://people.inf.ethz.ch/omutlu/pub/understanding-and-modeling-in-DRAM-ECC_dsn19.pdf.

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.

Assignment 5, Data Analysis and Interpretation, Autumn 2020, IIT Bombay