2 citations · 3 across the 5 of their papers we have counts for
6 papers
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…
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…
How to Combine Variational Bayesian Networks in Federated Learning
Atahan Ozer, Kadir Burak Buldu, Abdullah Akgül +1
Federated Learning enables multiple data centers to train a central model collaboratively without exposing any confidential data. Even though deterministic models are capable of pe…
Continual Learning of Multi-modal Dynamics with External Memory
Abdullah Akgül, Gozde Unal, Melih Kandemir
We study the problem of fitting a model to a dynamical environment when new modes of behavior emerge sequentially. The learning model is aware when a new mode appears, but it canno…
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation
Ufuk Demir, Atahan Ozer, Yusuf H. Sahin +1
In recent years, deep learning based methods have shown success in essential medical image analysis tasks such as segmentation. Post-processing and refining the results of segmenta…
Evidential Turing Processes
Melih Kandemir, Abdullah Akgül, Manuel Haussmann +1
A probabilistic classifier with reliable predictive uncertainties i) fits successfully to the target domain data, ii) provides calibrated class probabilities in difficult regions o…