5 citations · 5 across the 3 of their papers we have counts for
3 papers
Using deep learning to characterize single-exposure double-line spectroscopic binaries
Avraham Binnenfeld, Samuel Lilek, Rami Nasser +2
Distinguishing the component spectra of double-line spectroscopic binaries (SB2s) and extracting their stellar parameters is a complex and computationally intensive task that usual…
Overflow Prevention Enhances Long-Context Recurrent LLMs
Assaf Ben-Kish, Itamar Zimerman, M. Jehanzeb Mirza +4
A recent trend in LLMs is developing recurrent sub-quadratic models that improve long-context processing efficiency. We investigate leading large long-context models, focusing on h…
The Resistance to Label Noise in K-NN and DNN Depends on its Concentration
Amnon Drory, Oria Ratzon, Shai Avidan +1
We investigate the classification performance of K-nearest neighbors (K-NN) and deep neural networks (DNNs) in the presence of label noise. We first show empirically that a DNN's p…