Search Results for author: Alexander Rodríguez

Found 6 papers, 5 papers with code

CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting

1 code implementation15 Sep 2021 Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

We use CAMul for multiple domains with varied sources and modalities and show that CAMul outperforms other state-of-art probabilistic forecasting models by over 25\% in accuracy and calibration.

Decision Making Probabilistic Time Series Forecasting +1

Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future

1 code implementation8 Jun 2021 Harshavardhan Kamarthi, Alexander Rodríguez, B. Aditya Prakash

Our extensive experiments demonstrate that our method refines the performance of top models for COVID-19 forecasting, in contrast to non-trivial baselines, yielding 18% improvement over baselines, enabling us obtain a new SOTA performance.

When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting

1 code implementation7 Jun 2021 Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

We model the forecasting task as a probabilistic generative process and propose a functional neural process model called EPIFNP, which directly models the probability density of the forecast value.

Time Series Time Series Forecasting

Incorporating Expert Guidance in Epidemic Forecasting

no code implementations24 Dec 2020 Alexander Rodríguez, Bijaya Adhikari, Naren Ramakrishnan, B. Aditya Prakash

Forecasting influenza like illnesses (ILI) has rapidly progressed in recent years from an art to a science with a plethora of data-driven methods.

Mapping Network States Using Connectivity Queries

1 code implementation7 Dec 2020 Alexander Rodríguez, Bijaya Adhikari, Andrés D. González, Charles Nicholson, Anil Vullikanti, B. Aditya Prakash

In contrast, we study the harder problem of inferring failed components given partial information of some `serviceable' reachable nodes and a small sample of point probes, being the first often more practical to obtain.

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