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08/11/2023
DF2: Distribution-Free Decision-Focused Learning
Decision-focused learning (DFL) has recently emerged as a powerful appro...
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07/21/2023
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
Physics-Informed Neural Networks (PINNs) have emerged as a promising dee...
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07/17/2023
Autoregressive Diffusion Model for Graph Generation
Diffusion-based graph generative models have recently obtained promising...
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11/25/2022
End-to-End Stochastic Optimization with Energy-Based Model
Decision-focused learning (DFL) was recently proposed for stochastic opt...
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07/20/2022
Differentiable Agent-based Epidemiology
Mechanistic simulators are an indispensable tool for epidemiology to exp...
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02/21/2022
EINNs: Epidemiologically-Informed Neural Networks
We introduce a new class of physics-informed neural networks-EINN-crafte...
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06/08/2021
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
In real-time forecasting in public health, data collection is a non-triv...
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06/07/2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting
Accurate and trustworthy epidemic forecasting is an important problem th...
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12/22/2020
NetReAct: Interactive Learning for Network Summarization
Generating useful network summaries is a challenging and important probl...
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12/07/2020
Mapping Network States Using Connectivity Queries
Can we infer all the failed components of an infrastructure network, giv...
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09/23/2020
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19
Forecasting influenza in a timely manner aids health organizations and p...
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02/22/2017
Distributed Representation of Subgraphs
Network embeddings have become very popular in learning effective featur...
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02/22/2017
