4 citations · 4 across the 3 of their papers we have counts for
3 papers
astro-ph.CO2026
GIGA-Lens 2.0: Strong-Lens Modeling on Multiple GPU Nodes
Xiaosheng Huang, Linus Upson, Nicolas Ratier-Werbin +12
We present GIGA-Lens 2.0: a major upgrade to the GPU-accelerated Bayesian framework for modeling strong lensing systems that allows it to be run across multiple GPU nodes. We have…
cs.AI2025
Model Consistency as a Cheap yet Predictive Proxy for LLM Elo Scores
Ashwin Ramaswamy, Nestor Demeure, Ermal Rrapaj
New large language models (LLMs) are being released every day. Some perform significantly better or worse than expected given their parameter count. Therefore, there is a need for…
cs.LG2021★ 4 cited
Ranger21: a synergistic deep learning optimizer
Less Wright, Nestor Demeure
As optimizers are critical to the performances of neural networks, every year a large number of papers innovating on the subject are published. However, while most of these publica…