dengue forecasting 2circular statistics 1distributional regression 1echo state networks 1epidemiological modeling 1generative modeling 1long memory 1neural networks 1pose estimation 1public health 1reservoir computing 1time series prediction 1
From the 3 of 16 linked papers with an AI index.
Showing stat.MLShow all
3 papers · 1 filter
stat.ML2026
ANGLE: Angular Neural Generative Learning via Engression
Rajdeep Pathak, Archi Roy, Tanujit Chakraborty
The paper introduces ANGLE, a lightweight deep generative model that learns the full conditional distribution of circular (angular) data given various covariates, enabling better p…
stat.ML2026
Long-Memory Reservoir Computing for Data-Scarce Dengue Forecasting
Rahul Goswami, Shinjini Paul, Palash Ghosh +1
The paper proposes reservoir‑computing models that incorporate long‑memory dynamics to improve dengue case forecasts when only short, noisy time series are available.
stat.ML2026
Deep Generative Spatiotemporal Engression for Probabilistic Forecasting of Epidemics
Rajdeep Pathak, Tanujit Chakraborty
Accurate and reliable forecasting of epidemic incidences is critical for public health preparedness, yet it remains a challenging task due to complex nonlinear temporal dependencie…