Alexander Lerchner
Publications by Year
Research Areas
Neural dynamics and brain function, Domain Adaptation and Few-Shot Learning, Generative Adversarial Networks and Image Synthesis, Multimodal Machine Learning Applications, Reinforcement Learning in Robotics
Most-Cited Works
- beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework(2017)
- → Towards a Definition of Disentangled Representations(2018)294 cited
- → Understanding disentangling in $\beta$-VAE(2018)280 cited
- → MONet: Unsupervised Scene Decomposition and Representation(2019)194 cited
- → Multi-Object Representation Learning with Iterative Variational Inference(2019)176 cited
- → DARLA: Improving Zero-Shot Transfer in Reinforcement Learning(2017)139 cited
- → Early Visual Concept Learning with Unsupervised Deep Learning(2016)127 cited
- → Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs(2019)76 cited