2 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
Calibrating Bayesian UNet++ for Sub-Seasonal Forecasting
Busra Asan, Abdullah Akgül, Alper Unal +2
Seasonal forecasting is a crucial task when it comes to detecting the extreme heat and colds that occur due to climate change. Confidence in the predictions should be reliable sinc…
GaussianMLR: Learning Implicit Class Significance via Calibrated Multi-Label Ranking
V. Bugra Yesilkaynak, Emine Dari, Alican Mertan +1
Existing multi-label frameworks only exploit the information deduced from the bipartition of the labels into a positive and negative set. Therefore, they do not benefit from the ra…
Climate Model Driven Seasonal Forecasting Approach with Deep Learning
Alper Unal, Busra Asan, Ismail Sezen +4
Understanding seasonal climatic conditions is critical for better management of resources such as water, energy and agriculture. Recently, there has been a great interest in utiliz…
GAN-based Intrinsic Exploration For Sample Efficient Reinforcement Learning
Doğay Kamar, Nazım Kemal Üre, Gözde Ünal
In this study, we address the problem of efficient exploration in reinforcement learning. Most common exploration approaches depend on random action selection, however these approa…