7 citations · 7 across the 1 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2021★ 7 cited
Framing RNN as a kernel method: A neural ODE approach
Adeline Fermanian, Pierre Marion, Jean-Philippe Vert +1
Building on the interpretation of a recurrent neural network (RNN) as a continuous-time neural differential equation, we show, under appropriate conditions, that the solution of a…
stat.ML2019
Embedding and learning with signatures
Adeline Fermanian
Sequential and temporal data arise in many fields of research, such as quantitative finance, medicine, or computer vision. A novel approach for sequential learning, called the sign…