7 citations · 8 across the 7 of their papers we have counts for
3 papers · 1 filter
Non-parametric efficient estimation of marginal structural models with multi-valued time-varying treatments
Axel Martin, Michele Santacatterina, Iván Díaz
Marginal structural models are a popular method for estimating causal effects in the presence of time-varying exposures. In spite of their popularity, no scalable non-parametric es…
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
Ali Behrouz, Michele Santacatterina, Ramin Zabih
Modeling multivariate time series is a well-established problem with a wide range of applications from healthcare to financial markets. Traditional State Space Models (SSMs) are cl…
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection
Ali Behrouz, Michele Santacatterina, Ramin Zabih
Recent advances in deep learning have mainly relied on Transformers due to their data dependency and ability to learn at scale. The attention module in these architectures, however…