Search Results for author: Janahan Ramanan

Found 3 papers, 1 papers with code

Agent Forecasting at Flexible Horizons using ODE Flows

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.

Time2Vec: Learning a Vector Representation of Time

6 code implementations11 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.

An Energy-Based Framework for Arbitrary Label Noise Correction

no code implementations27 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.

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