Mihaela Rosca
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Topic Modeling, Reinforcement Learning in Robotics, Model Reduction and Neural Networks, Natural Language Processing Techniques
Most-Cited Works
- → Variational Approaches for Auto-Encoding Generative Adversarial Networks(2017)247 cited
- → Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step(2017)100 cited
- → Monte Carlo Gradient Estimation in Machine Learning(2019)85 cited
- → Deep Compressed Sensing(2019)58 cited
- → Sequence-to-sequence neural network models for transliteration(2016)57 cited
- → Distribution Matching in Variational Inference(2018)50 cited
- Training language GANs from Scratch(2019)
- → A case for new neural network smoothness constraints(2020)16 cited
- → Spectral Normalisation for Deep Reinforcement Learning: an Optimisation Perspective(2021)8 cited