2 papers
cs.CV2025
Accelerating Inference of Masked Image Generators via Reinforcement Learning
Pranav Subbaraman, Shufan Li, Siyan Zhao +1
Masked Generative Models (MGM)s demonstrate strong capabilities in generating high-fidelity images. However, they need many sampling steps to create high-quality generations, resul…
cs.LG2025
Accelerating Time Series Foundation Models with Speculative Decoding
Pranav Subbaraman, Fang Sun, Yue Yao +4
Time series forecasting drives operational decisions under tight latency budgets, and autoregressive time series foundation models (TSFMs) increasingly deliver the most accurate fo…