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Practical AI cases for solving ESG challenges
Artificial intelligence (AI) is a rapidly advancing area of research that encompasses
numerical methods to solve various prediction, optimization, and classification/clustering …
numerical methods to solve various prediction, optimization, and classification/clustering …
Neural conservation laws: A divergence-free perspective
We investigate the parameterization of deep neural networks that by design satisfy the
continuity equation, a fundamental conservation law. This is enabled by the observation that …
continuity equation, a fundamental conservation law. This is enabled by the observation that …
Variational Wasserstein gradient flow
J Fan, Q Zhang, A Taghvaei, Y Chen - ar** neural solvers
for the Schrödinger Bridge (SB) problem and applying them to generative modelling. This …
for the Schrödinger Bridge (SB) problem and applying them to generative modelling. This …
Optimal transport-guided conditional score-based diffusion model
Conditional score-based diffusion model (SBDM) is for conditional generation of target data
with paired data as condition, and has achieved great success in image translation …
with paired data as condition, and has achieved great success in image translation …
Generative modeling through the semi-dual formulation of unbalanced optimal transport
Optimal Transport (OT) problem investigates a transport map that bridges two distributions
while minimizing a given cost function. In this regard, OT between tractable prior distribution …
while minimizing a given cost function. In this regard, OT between tractable prior distribution …