no code implementations • 27 Sep 2018 • Jaspreet Sahota, Divya Shanmugam, Janahan Ramanan, Sepehr Eghbali, Marcus Brubaker
We propose an energy-based framework for correcting mislabelled training examples in the context of binary classification.
6 code implementations • 11 Jul 2019 • Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, Marcus Brubaker
Time is an important feature in many applications involving events that occur synchronously and/or asynchronously.
no code implementations • ICML Workshop INNF 2021 • Alexander Radovic, JiaWei He, Janahan Ramanan, Marcus A Brubaker, Andreas Lehrmann
In this work we describe OMEN, a neural ODE based normalizing flow for the prediction of marginal distributions at flexible evaluation horizons, and apply it to agent position forecasting.