92 citations · 99 across the 4 of their papers we have counts for
6 papers
Tune As You Scale: Hyperparameter Optimization For Compute Efficient Training
Abraham J. Fetterman, Ellie Kitanidis, Joshua Albrecht +6
Hyperparameter tuning of deep learning models can lead to order-of-magnitude performance gains for the same amount of compute. Despite this, systematic tuning is uncommon, particul…
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds
Joshua Albrecht, Abraham J. Fetterman, Bryden Fogelman +8
Despite impressive successes, deep reinforcement learning (RL) systems still fall short of human performance on generalization to new tasks and environments that differ from their…
Preliminary clustering properties of the DESI BGS bright targets using DR9 Legacy Imaging Surveys
Pauline Zarrouk, Omar Ruiz-Macias, Shaun Cole +10
We characterise the selection cuts and clustering properties of a magnitude-limited sample of bright galaxies that is part of the Bright Galaxy Survey (BGS) of the Dark Energy Spec…
Cross-Correlation of Planck CMB Lensing with DESI-Like LRGs
Ellie Kitanidis, Martin White
Cross-correlations between the lensing of the cosmic microwave background (CMB) and other tracers of large-scale structure provide a unique way to reconstruct the growth of dark ma…
Imaging Systematics and Clustering of DESI Main Targets
Ellie Kitanidis, Martin White, Yu Feng +10
We evaluate the impact of imaging systematics on the clustering of luminous red galaxies (LRG), emission-line galaxies (ELG) and quasars (QSO) targeted for the upcoming Dark Energy…
Cosmological Evolution of Long Gamma-ray Bursts and Star Formation Rate
Vahe' Petrosian, Ellie Kitanidis, Daniel Kocevski
Gamma-ray bursts (GRBs) by virtue of their high luminosities can be detected up to very high redshifts and therefore can be excellent probes of the early universe. This task is ham…