5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Optimal Transport for Offline Imitation Learning
Yicheng Luo, Zhengyao Jiang, Samuel Cohen +2
With the advent of large datasets, offline reinforcement learning (RL) is a promising framework for learning good decision-making policies without the need to interact with the rea…
q-fin.MF2023★ 1 cited
Inefficiency of CFMs: hedging perspective and agent-based simulations
Samuel Cohen, Marc Sabaté Vidales, David Šiška +1
We investigate whether the fee income from trades on the CFM is sufficient for the liquidity providers to hedge away the exposure to market risk. We first analyse this problem thro…
stat.ML2022★ 5 cited
Matching Normalizing Flows and Probability Paths on Manifolds
Heli Ben-Hamu, Samuel Cohen, Joey Bose +5
Continuous Normalizing Flows (CNFs) are a class of generative models that transform a prior distribution to a model distribution by solving an ordinary differential equation (ODE).…