Djordje Miladinovic
6 papers · 2017–2022 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core Methods
(4)
Deep Learning
(3)
Architectures
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Keywords
disentangled representation
(2)
sequence generation
(1)
semantic segmentation
(1)
variational inference
(1)
transfer learning
(1)
domain adaptation
(1)
attention mechanism
(1)
adversarial training
(1)
feature importance
(1)
medical image segmentation
(1)
granger causality
(1)
parameter inference
(1)
variational approximation
(1)
state inference
(1)
latent variable model
(1)
dynamical system
(1)
feature map
(1)
inductive bia
(1)
variational autoencoder
(1)
stochastic differential equation
(1)
Papers
Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence
MIDL 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
NeurIPS 2022
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
AAAI 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
NeurIPS 2019
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
ICML 2019
Efficient and Flexible Inference for Stochastic Systems
NeurIPS 2017