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20222026
most citedDeveloping cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study

21 citations · 29 across the 16 of their papers we have counts for

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Showing cs.LGShow all

5 papers · 1 filter

cs.LG2026

SIGMA: Symmetry-aware, Intelligent, Geometric, Multi-faced Adaptive Traffic Control for Reliable Intelligent Transportation Systems

Pratham Payra, Jagadish B, Jagadish +2

Traffic signal control is a challenging sequential decision-making problem requiring a balance between throughput, vehicle delay fairness, signal stability, predictable switching,…

cs.LG2026

TREA-Net: A Transferable Residual Epidemiological Adaptation Network for Dengue Incidence Forecasting

Inesh Shukla, Madhurima Panja, Tanujit Chakraborty +1

Accurate multi-week dengue forecasting supports timely vector-control interventions, outbreak preparedness, and healthcare resource allocation. However, newly established surveilla…

cs.LG2026

EpiCastBench: Datasets and Benchmarks for Multivariate Epidemic Forecasting

Madhurima Panja, Danny D'Agostino, Huitao Li +2

The increasing adoption of data-driven decision-making in public health has established epidemic forecasting as a critical area of research. Recent advances in multivariate forecas…

cs.LG2026

Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series

Madhurima Panja, Grace Younes, Tanujit Chakraborty

Chaotic time series are notoriously difficult to forecast. Small uncertainties in initial conditions amplify rapidly, while strong nonlinearities and regime dependent variability c…

cs.LG2026

Deep Generative Transformers for Probabilistic Time Series and Spatiotemporal Forecasting

Rajdeep Pathak, Rahul Goswami, Madhurima Panja +2

Reliable uncertainty quantification is paramount for forecasting multivariate time series and spatiotemporal data. While Transformer architectures excel at sequence modeling, curre…