2 papers
cs.AI2026
Parameter-Efficient Adaptation of Pretrained Language Models for Time-Series Forecasting
Tamanna Kumavat, Georg Brunner, Kyriakos Flouris
We study the adaptation of pretrained language models to univariate time-series forecasting through a parameter-efficient transfer learning framework, with the goal of understandin…
quant-ph2025
A purely Quantum Generative Modeling through Unitary Scrambling and Collapse
Yihua Li, Jiayi Chen, Tamanna S. Kumavat +1
Quantum computing offers fundamentally more expressive mechanisms for generative modeling, yet current approaches remain constrained by classical neural components that bottleneck…