30 citations · 51 across the 4 of their papers we have counts for
5 papers
SynJax: Structured Probability Distributions for JAX
Miloš Stanojević, Laurent Sartran
The development of deep learning software libraries enabled significant progress in the field by allowing users to focus on modeling, while letting the library to take care of the…
Continuous diffusion for categorical data
Sander Dieleman, Laurent Sartran, Arman Roshannai +11
Diffusion models have quickly become the go-to paradigm for generative modelling of perceptual signals (such as images and sound) through iterative refinement. Their success hinges…
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale
Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro +3
We introduce Transformer Grammars (TGs), a novel class of Transformer language models that combine (i) the expressive power, scalability, and strong performance of Transformers and…
Enabling arbitrary translation objectives with Adaptive Tree Search
Wang Ling, Wojciech Stokowiec, Domenic Donato +4
We introduce an adaptive tree search algorithm, that can find high-scoring outputs under translation models that make no assumptions about the form or structure of the search objec…
Better Document-Level Machine Translation with Bayes' Rule
Lei Yu, Laurent Sartran, Wojciech Stokowiec +4
We show that Bayes' rule provides an effective mechanism for creating document translation models that can be learned from only parallel sentences and monolingual documents---a com…