1 citations · 1 across the 3 of their papers we have counts for
4 papers
Out-of-distribution detection using normalizing flows on the data manifold
Seyedeh Fatemeh Razavi, Mohammad Mahdi Mehmanchi, Reshad Hosseini +1
Using the intuition that out-of-distribution data have lower likelihoods, a common approach for out-of-distribution detection involves estimating the underlying data distribution.…
Joint Manifold Learning and Density Estimation Using Normalizing Flows
Seyedeh Fatemeh Razavi, Mohammad Mahdi Mehmanchi, Reshad Hosseini +1
Based on the manifold hypothesis, real-world data often lie on a low-dimensional manifold, while normalizing flows as a likelihood-based generative model are incapable of finding t…
ParsiNorm: A Persian Toolkit for Speech Processing Normalization
Romina Oji, Seyedeh Fatemeh Razavi, Sajjad Abdi Dehsorkh +3
In general, speech processing models consist of a language model along with an acoustic model. Regardless of the language model's complexity and variants, three critical pre-proces…
FRMDN: Flow-based Recurrent Mixture Density Network
Seyedeh Fatemeh Razavi, Reshad Hosseini, Tina Behzad
The class of recurrent mixture density networks is an important class of probabilistic models used extensively in sequence modeling and sequence-to-sequence mapping applications. I…