1 citations · 2 across the 5 of their papers we have counts for
5 papers
Introducing the CZAR Loss: A Tailored Objective Function for Financial Log-Return Predictions
Joel Pfeffer, J. M. Diederik Kruijssen, Florian Stecker +1
In quantitative finance, standard regression losses are misaligned with the economics of return prediction. As the conditional mean of financial log-returns is close to zero, symme…
Analysis of Galaxies at the Extremes: Failed Galaxy Progenitors in the MAGNETICUM Simulations
Jonah S. Gannon, Lucas C. Kimmig, Duncan A. Forbes +5
There is increasing observational evidence for a failed galaxy formation pathway for some ultradiffuse galaxies (UDGs) at low redshift however they currently lack simulated counter…
Context-Aware Inference via Performance Forecasting in Decentralized Learning Networks
Joel Pfeffer, J. M. Diederik Kruijssen, Clément Gossart +4
In decentralized learning networks, predictions from many participants are combined to generate a network inference. While many studies have demonstrated performance benefits of co…
Investigating the Ultra-diffuse Galaxy NGC5846_UDG1 through the Kinematics of its Rich Globular Cluster System
Lydia Haacke, Duncan A. Forbes, Jonah S. Gannon +8
Recent studies of ultra-diffuse galaxies (UDGs) have shown their globular cluster (GC) systems to be central in unveiling their remarkable properties and halo masses. Deep HST imag…
The multiple classes of ultra-diffuse galaxies: Can we tell them apart?
Maria Luisa Buzzo, Duncan A. Forbes, Thomas H. Jarrett +9
This study compiles stellar populations and internal properties of ultra-diffuse galaxies (UDGs) to highlight correlations with their local environment, globular cluster (GC) richn…