4 citations · 4 across the 3 of their papers we have counts for
4 papers
Parallel Language Models via Variational Decoding
Felix Draxler, Robin C. Geyer, Daniel Geyfman +13
Autoregressive language models emit one token per forward pass. This causes high inference latency, in particular as models are scaled up for quality. In this paper, we introduce P…
Control-Augmented Autoregressive Diffusion for Data Assimilation
Prakhar Srivastava, Farrin Marouf Sofian, Francesco Immorlano +2
Despite advances in test-time scaling and diffusion finetuning, guidance for Auto-Regressive Diffusion Models (ARDMs) remains underexplored. We introduce an amortized framework tha…
Autotelic Reinforcement Learning: Exploring Intrinsic Motivations for Skill Acquisition in Open-Ended Environments
Prakhar Srivastava, Jasmeet Singh
This paper presents a comprehensive overview of autotelic Reinforcement Learning (RL), emphasizing the role of intrinsic motivations in the open-ended formation of skill repertoire…
Precipitation Downscaling with Spatiotemporal Video Diffusion
Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan +4
In climate science and meteorology, high-resolution local precipitation (rain and snowfall) predictions are limited by the computational costs of simulation-based methods. Statisti…