Alert button
Picture for Syama Rangapuram

Syama Rangapuram

Alert button

Solving Recurrent MIPs with Semi-supervised Graph Neural Networks

Feb 20, 2023
Konstantinos Benidis, Ugo Rosolia, Syama Rangapuram, George Iosifidis, Georgios Paschos

Figure 1 for Solving Recurrent MIPs with Semi-supervised Graph Neural Networks
Figure 2 for Solving Recurrent MIPs with Semi-supervised Graph Neural Networks
Figure 3 for Solving Recurrent MIPs with Semi-supervised Graph Neural Networks
Figure 4 for Solving Recurrent MIPs with Semi-supervised Graph Neural Networks
Viaarxiv icon

GluonTS: Probabilistic Time Series Models in Python

Jun 14, 2019
Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang

Figure 1 for GluonTS: Probabilistic Time Series Models in Python
Figure 2 for GluonTS: Probabilistic Time Series Models in Python
Figure 3 for GluonTS: Probabilistic Time Series Models in Python
Figure 4 for GluonTS: Probabilistic Time Series Models in Python
Viaarxiv icon

Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale

Sep 22, 2017
Matthias Seeger, Syama Rangapuram, Yuyang Wang, David Salinas, Jan Gasthaus, Tim Januschowski, Valentin Flunkert

Figure 1 for Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale
Figure 2 for Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale
Figure 3 for Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale
Figure 4 for Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale
Viaarxiv icon