262 citations · 1.8k across the 75 of their papers we have counts for
6 papers · 1 filter
Labeling Bias in Galaxy Morphologies
Guillermo Cabrera-Vives, Christopher J. Miller, Jeff Schneider
We present a metric to quantify systematic labeling bias in galaxy morphology data sets stemming from the quality of the labeled data. This labeling bias is independent from labeli…
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou +5
Autonomous driving presents one of the largest problems that the robotics and artificial intelligence communities are facing at the moment, both in terms of difficulty and potentia…
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
Nemanja Djuric, Vladan Radosavljevic, Henggang Cui +5
We address one of the crucial aspects necessary for safe and efficient operations of autonomous vehicles, namely predicting future state of traffic actors in the autonomous vehicle…
Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming
Kirthevasan Kandasamy, Willie Neiswanger, Reed Zhang +3
We design a new myopic strategy for a wide class of sequential design of experiment (DOE) problems, where the goal is to collect data in order to to fulfil a certain problem specif…
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Kirthevasan Kandasamy, Willie Neiswanger, Jeff Schneider +2
Bayesian Optimisation (BO) refers to a class of methods for global optimisation of a function which is only accessible via point evaluations. It is typically used in settings w…
Transformation Autoregressive Networks
Junier B. Oliva, Avinava Dubey, Manzil Zaheer +4
The fundamental task of general density estimation has been of keen interest to machine learning. In this work, we attempt to systematically characterize methods for density…