3 citations · 5 across the 7 of their papers we have counts for
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stat.ML2018★ 3 cited
Approximate Bayesian inference in spatial environments
Atanas Mirchev, Baris Kayalibay, Maximilian Soelch +2
Model-based approaches bear great promise for decision making of agents interacting with the physical world. In the context of spatial environments, different types of problems suc…
stat.ML2018★ 1 cited
Classification of sparsely labeled spatio-temporal data through semi-supervised adversarial learning
Atanas Mirchev, Seyed-Ahmad Ahmadi
In recent years, Generative Adversarial Networks (GAN) have emerged as a powerful method for learning the mapping from noisy latent spaces to realistic data samples in high-dimensi…