Rémi Leblond
Publications by Year
Research Areas
Stochastic Gradient Optimization Techniques, Topic Modeling, Natural Language Processing Techniques, Sparse and Compressive Sensing Techniques, Privacy-Preserving Technologies in Data
Most-Cited Works
- → Grandmaster level in StarCraft II using multi-agent reinforcement learning(2019)3,358 cited
- → Competition-level code generation with AlphaCode(2022)31 cited
- Improved asynchronous parallel optimization analysis for stochastic incremental methods(2018)
- → Continuous diffusion for categorical data(2022)21 cited
- → Self-conditioned Embedding Diffusion for Text Generation(2022)21 cited
- → Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization(2017)16 cited
- → SEARNN: Training RNNs with Global-Local Losses(2017)13 cited
- → ASAGA: Asynchronous Parallel SAGA(2016)12 cited
- → Options as responses: Grounding behavioural hierarchies in multi-agent RL(2019)11 cited