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pro vyhledávání: '"Rezaei, Mohammad R."'
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 address this, we propose Implicit Dynamical Flow Fusion (IDFF); IDFF
Externí odkaz:
http://arxiv.org/abs/2409.14599
Autor:
Rezaei, Mohammad R.
Latent dynamical models are commonly used to learn the distribution of a latent dynamical process that represents a sequence of noisy data samples. However, producing samples from such models with high fidelity is challenging due to the complexity an
Externí odkaz:
http://arxiv.org/abs/2306.07077
Autor:
Rezaei, Mohammad R., Fard, Reza Saadati, Pourjafari, Ebrahim, Ziaei, Navid, Sameizadeh, Amir, Shafiee, Mohammad, Alavinia, Mohammad, Abolghasemian, Mansour, Sajadi, Nick
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 in deep neural networks (DNNs) for survival analysis show the superior
Externí odkaz:
http://arxiv.org/abs/2210.15674
The state-space models (SSMs) are widely utilized in the analysis of time-series data. SSMs rely on an explicit definition of the state and observation processes. Characterizing these processes is not always easy and becomes a modeling challenge when
Externí odkaz:
http://arxiv.org/abs/2205.10947
Autor:
Pourjafari, Ebrahim, Ziaei, Navid, Rezaei, Mohammad R., Sameizadeh, Amir, Shafiee, Mohammad, Alavinia, Mohammad, Abolghasemian, Mansour, Sajadi, Nick
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 based on the sequence-to-sequence (Seq2Seq) architecture, therefore we na
Externí odkaz:
http://arxiv.org/abs/2204.04542
An ongoing challenge in neural information processing is: how do neurons adjust their connectivity to improve task performance over time (i.e., actualize learning)? It is widely believed that there is a consistent, synaptic-level learning mechanism i
Externí odkaz:
http://arxiv.org/abs/2105.14383
Autor:
Rezaei, Mohammad R.
The number of reviews on Amazon has grown significantly over the years. Customers who made purchases on Amazon provide reviews by rating the product from 1 to 5 stars and sharing a text summary of their experience and opinion of the product. The rati
Externí odkaz:
http://arxiv.org/abs/2102.04238
Autor:
Rezaei, Mohammad R.1,2,3 (AUTHOR), Saadati Fard, Reza4 (AUTHOR), Popovic, Milos R.2,3 (AUTHOR), Prescott, Steven A.2,5,6 (AUTHOR), Lankarany, Milad1,2,3,5 (AUTHOR) milad.lankarany@uhnresearch.ca
Publikováno v:
Entropy. Apr2023, Vol. 25 Issue 4, p589. 18p.
Akademický článek
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Autor:
Rezaei, Mohammad R.1,2,3 (AUTHOR) mr.rezaei@mail.utoronto.ca, Hadjinicolaou, Alex E.4,5 (AUTHOR) ahadjinicolaou@mgh.harvard.edu, Cash, Sydney S.4,5 (AUTHOR) SCASH@mgh.harvard.edu, Eden, Uri T.6 (AUTHOR) tzvi@bu.edu, Yousefi, Ali7 (AUTHOR) ayousefi@wpi.edu
Publikováno v:
Neural Computation. May2022, Vol. 34 Issue 5, p1100-1135. 36p. 6 Diagrams, 1 Chart, 4 Graphs.