4 citations · 5 across the 2 of their papers we have counts for
2 papers
stat.ML2021★ 4 cited
Local-Global MCMC kernels: the best of both worlds
Sergey Samsonov, Evgeny Lagutin, Marylou Gabrié +3
Recent works leveraging learning to enhance sampling have shown promising results, in particular by designing effective non-local moves and global proposals. However, learning accu…
cs.CL2021★ 1 cited
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning
Evgeny Lagutin, Daniil Gavrilov, Pavel Kalaidin
Likelihood training and maximization-based decoding result in dull and repetitive generated texts even when using powerful language models (Holtzman et al., 2019). Adding a loss fu…