Corentin Tallec
Publications by Year
Research Areas
Topic Modeling, Reinforcement Learning in Robotics, Neural Networks and Applications, Advanced Graph Neural Networks, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Creating artificial human genomes using generative neural networks(2021)130 cited
- Bootstrapped Representation Learning on Graphs(2021)
- → Unbiasing Truncated Backpropagation Through Time(2017)53 cited
- → Making Deep Q-learning methods robust to time discretization(2019)33 cited
- → Large-Scale Representation Learning on Graphs via Bootstrapping(2021)30 cited
- Unbiased Online Recurrent Optimization(2017)
- → Mixed batches and symmetric discriminators for GAN training(2018)25 cited
- → Self-conditioned Embedding Diffusion for Text Generation(2022)21 cited
- → BYOL works even without batch statistics(2020)20 cited
- → Shaking the foundations: delusions in sequence models for interaction\n and control(2021)19 cited