activity
19992025
most citedThe Sloan Digital Sky Survey: Technical Summary

10.4k citations · 15.5k across the 16 of their papers we have counts for

collaborators

16 papers

cs.CL2025

Sparse Autoencoder Insights on Voice Embeddings

Daniel Pluth, Yu Zhou, Vijay K. Gurbani

Recent advances in explainable machine learning have highlighted the potential of sparse autoencoders in uncovering mono-semantic features in densely encoded embeddings. While most…

cs.LG2024

Digits micro-model for accurate and secure transactions

Chirag Chhablani, Nikhita Sharma, Jordan Hosier +1

Automatic Speech Recognition (ASR) systems are used in the financial domain to enhance the caller experience by enabling natural language understanding and facilitating efficient a…

cs.CL2023★ 2 cited

How susceptible are LLMs to Logical Fallacies?

Amirreza Payandeh, Dan Pluth, Jordan Hosier +2

This paper investigates the rational thinking capability of Large Language Models (LLMs) in multi-round argumentative debates by exploring the impact of fallacious arguments on the…

cs.NI2018★ 5 cited

Challenges in Network Management of Encrypted Traffic

Mirja Kühlewind, Brian Trammell, Tobias Bühler +2

This paper summarizes the challenges identified at the MAMI Management and Measurement Summit (M3S) for network management with the increased deployment of encrypted traffic based…

astro-ph2005★ 1.1k cited

The Fourth Data Release of the Sloan Digital Sky Survey

J. K. Adelman-McCarthy et al.

This paper describes the fourth data release of the Sloan Digital Sky Survey (SDSS), including all survey-quality data taken through June 2004. The data release includes five-band…

astro-ph2004★ 752 cited

The Third Data Release of the Sloan Digital Sky Survey

K. Abazajian et al.

This paper describes the Third Data Release of the Sloan Digital Sky Survey (SDSS). This release, containing data taken up through June 2003, includes imaging data in five bands ov…