7 papers
Compress and Forget: bitsandbytes Quantization Amplifies Proactive Interference in LLMs
Shayan Shahrabi-Farahani, Dara Rahmati
Proactive interference (PI) is a documented failure mode in large language models in which retrieval of a repeatedly overwritten value degrades as prior overwrites accumulate, mirr…
Restricted nonlinear shrinkage of high-dimensional residual covariance matrices in multivariate regressions
Hamid Karamikabir, Mohammad Arashi
We study estimation of the p*p residual scatter (shape) matrix in a high-dimensional multivariate linear regression, where p and n grow proportionally. When the coefficient matrix…
Mens: Nonlinear shrinkage estimation in nonparanormal models for financial applications
Hamid Karamikabir, Mohammad Arashi
We develop a theory of nonlinear shrinkage covariance estimation for nonparanormal (Gaussian-copula) models, in which each observed coordinate is an unknown strictly increasing tra…
Machine learning prediction of binary formation in three-body gravitational encounters
Ahmad Farhani Asl
Three-body encounters are frequent events in stellar systems, intrinsically chaotic, and computationally costly to model with direct N-body integration. Predicting whether such enc…
Predicting the final states of binary-single scattering with machine learning
Ahmad Farhani Asl, David Fonseca Mota, Dennis Fremstad +1
Context. Binary-single encounters are particularly frequent in dense stellar environments, where they play a central role in shaping the dynamical evolution of their host systems.…
The CMS Phase-2 Fast Beam Condition Monitor prototype test with beam
G. Auzinger, H. Bakhshiansohi, A. E. Dabrowski +40
The Fast Beam Condition Monitor (FBCM) is a standalone luminometer for the High Luminosity LHC (HL-LHC) program of the CMS Experiment at CERN. The detector is under development and…