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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…
cs.LG2026
Quantifying Membership Disclosure Risk for Tabular Synthetic Data Using Kernel Density Estimators
Rajdeep Pathak, Amit Basak, Sayantee Jana
The use of synthetic data has become increasingly popular as a privacy-preserving alternative to sharing real datasets, especially in sensitive domains such as healthcare, finance,…