4 papers
ZAYA1-8B Technical Report
Robert Washbourne, Rishi Iyer, Tomas Figliolia +15
We present ZAYA1-8B, a reasoning-focused mixture-of-experts (MoE) model with 700M active and 8B total parameters, built on Zyphra's MoE++ architecture. ZAYA1-8B's core pretraining,…
PyBird-JAX: Accelerated inference in large-scale structure with model-independent emulation of one-loop galaxy power spectra
Alexander Reeves, Pierre Zhang, Henry Zheng
We present , a differentiable, -based implementation of , using internal neural network emulators to accelerate computationally…
Debiasing inference in large-scale structure with non-flat volume measures
Alexander Reeves, Pierre Zhang, Henry Zheng
Increasingly large parameter spaces, used to more accurately model precision observables in physics, can paradoxically lead to large deviations in the inferred parameters of intere…
Optimizers for Stabilizing Likelihood-free Inference
G. Bruno De Luca, Benjamin Nachman, Eva Silverstein +1
A growing number of applications in particle physics and beyond use neural networks as unbinned likelihood ratio estimators applied to real or simulated data. Precision requirement…