Decision-focused learning (DFL) has recently emerged as a powerful appro...
Physics-Informed Neural Networks (PINNs) have emerged as a promising dee...
Diffusion-based graph generative models have recently obtained promising...
Decision-focused learning (DFL) was recently proposed for stochastic
opt...
Mechanistic simulators are an indispensable tool for epidemiology to exp...
We introduce a new class of physics-informed neural networks-EINN-crafte...
In real-time forecasting in public health, data collection is a non-triv...
Accurate and trustworthy epidemic forecasting is an important problem th...
Generating useful network summaries is a challenging and important probl...
Can we infer all the failed components of an infrastructure network, giv...
Forecasting influenza in a timely manner aids health organizations and
p...
Network embeddings have become very popular in learning effective featur...
Recent successes in word embedding and document embedding have motivated...