2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
SurF: A Generative Model for Multivariate Irregular Time Series Forecasting
Mohammad R. Rezaei, Tejas Balaji, Rahul G. Krishnan
Irregularly sampled multivariate event streams remain a difficult modality for generative modeling: tokenization-based approaches break down when inter-event intervals vary by orde…
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
Mohammad R. Rezaei, Milos R. Popovic, Milad Lankarany +1
Conditional Flow Matching (CFM) models can generate high-quality samples from a non-informative prior, but they can be slow, often needing hundreds of network evaluations (NFE). To…
Reverse Survival Model (RSM): A Pipeline for Explaining Predictions of Deep Survival Models
Mohammad R. Rezaei, Reza Saadati Fard, Ebrahim Pourjafari +6
The aim of survival analysis in healthcare is to estimate the probability of occurrence of an event, such as a patient's death in an intensive care unit (ICU). Recent developments…
Survival Seq2Seq: A Survival Model based on Sequence to Sequence Architecture
Ebrahim Pourjafari, Navid Ziaei, Mohammad R. Rezaei +5
This paper introduces a novel non-parametric deep model for estimating time-to-event (survival analysis) in presence of censored data and competing risks. The model is designed bas…