1 citations · 1 across the 5 of their papers we have counts for
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Learning Explicit Single-Cell Dynamics Using ODE Representations
Jan-Philipp von Bassewitz, Adeel Pervez, Marco Fumero +3
Modeling the dynamics of cellular differentiation is fundamental to advancing the understanding and treatment of diseases associated with this process, such as cancer. With the rap…
Mechanistic PDE Networks for Discovery of Governing Equations
Adeel Pervez, Efstratios Gavves, Francesco Locatello
We present Mechanistic PDE Networks -- a model for discovery of governing partial differential equations from data. Mechanistic PDE Networks represent spatiotemporal data as space-…
Differentiable Mathematical Programming for Object-Centric Representation Learning
Adeel Pervez, Phillip Lippe, Efstratios Gavves
We propose topology-aware feature partitioning into disjoint partitions for given scene features as a method for object-centric representation learning. To this end, we propose…
A Fourier View of REINFORCE
Adeel Pervez
We show a connection between the Fourier spectrum of Boolean functions and the REINFORCE gradient estimator for binary latent variable models. We show that REINFORCE estimates (up…