- ETH Zurich, Department of Computer Science, Switzerland
According to our database1, Ðorðe Miladinovic authored at least 10 papers between 2017 and 2021.
Legend:Book In proceedings Article PhD thesis Other
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation.
Proceedings of the 9th International Conference on Learning Representations, 2021
SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species.
PLoS Comput. Biol., 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness.
Proceedings of the 36th International Conference on Machine Learning, 2019
Disentangled State Space Models: Unsupervised Learning of dynamics across Heterogeneous Environments.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017