Miladinovic, Djordje

6 publications

MIDL 2023 Holistic Modeling in Medical Image Segmentation Using Spatial Recurrence João BS Carvalho, João Santinha, Djordje Miladinovic, Carlos Cotrini, Joachim M Buhmann

NeurIPS 2022 Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Djordje Miladinovic, Kumar Shridhar, Kushal Jain, Max Paulus, Joachim M Buhmann, Carl Allen

AAAI 2019 Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks Patrick Schwab, Djordje Miladinovic, Walter Karlen

NeurIPS 2019 On the Transfer of Inductive Bias from Simulation to the Real World: A New Disentanglement Dataset Muhammad Waleed Gondal, Manuel Wuthrich, Djordje Miladinovic, Francesco Locatello, Martin Breidt, Valentin Volchkov, Joel Akpo, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer

ICML 2019 Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness Raphael Suter, Djordje Miladinovic, Bernhard Schölkopf, Stefan Bauer

NeurIPS 2017 Efficient and Flexible Inference for Stochastic Systems Stefan Bauer, Nico S Gorbach, Djordje Miladinovic, Joachim M Buhmann