Ðorðe Miladinovic

Affiliations:
  • ETH Zurich, Department of Computer Science, Switzerland


According to our database1, Ðorðe Miladinovic authored at least 10 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2021
Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation.
CoRR, 2021

Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling.
Proceedings of the 9th International Conference on Learning Representations, 2021

2019
SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species.
PLoS Comput. Biol., 2019

Disentangled State Space Representations.
CoRR, 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

2018
Interventional Robustness of Deep Latent Variable Models.
CoRR, 2018

2017
Efficient and Flexible Inference for Stochastic Systems.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017


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