2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Deep Gaussian Processes for Air Quality Inference
Aadesh Desai, Eshan Gujarathi, Saagar Parikh +3
Air pollution kills around 7 million people annually, and approximately 2.4 billion people are exposed to hazardous air pollution. Accurate, fine-grained air quality (AQ) monitorin…
Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning
Zeel B Patel, Nipun Batra, Kevin Murphy
Gaussian processes are Bayesian non-parametric models used in many areas. In this work, we propose a Non-stationary Heteroscedastic Gaussian process model which can be learned with…
Merged-GHCIDR: Geometrical Approach to Reduce Image Data
Devvrat Joshi, Janvi Thakkar, Siddharth Soni +3
The computational resources required to train a model have been increasing since the inception of deep networks. Training neural networks on massive datasets have become a challeng…
Geometrical Homogeneous Clustering for Image Data Reduction
Shril Mody, Janvi Thakkar, Devvrat Joshi +3
In this paper, we present novel variations of an earlier approach called homogeneous clustering algorithm for reducing dataset size. The intuition behind the approaches proposed in…