Zobrazeno 1 - 10
of 4 958
pro vyhledávání: '"ROBINSON, MICHAEL A."'
Large language models encode the correlational structure present in natural language by fitting segments of utterances (tokens) into a high dimensional ambient latent space upon which the models then operate. We assert that in order to develop a foun
Externí odkaz:
http://arxiv.org/abs/2410.08993
This article explores the theoretical underpinnings of -- and practical results for -- topological and geometric features of data collected by synthetic aperture sonar systems. We prove a strong theoretical guarantee about the structure of the space
Externí odkaz:
http://arxiv.org/abs/2409.15447
Autor:
Battistella, Enzo, English, Sean, Green, Robert, Joslyn, Cliff, Lagoda, Evgeniya, Magnan, Van, Myers, Audun, Nash, Evan D., Robinson, Michael
Hypergraphs have been a recent focus of study in mathematical data science as a tool to understand complex networks with high-order connections. One question of particular relevance is how to leverage information carried in hypergraph attributions wh
Externí odkaz:
http://arxiv.org/abs/2405.04559
We demonstrate that large language models can produce reasonable numerical ratings of the logical consistency of claims. We also outline a mathematical approach based on sheaf theory for lifting such ratings to hypertexts such as laws, jurisprudence,
Externí odkaz:
http://arxiv.org/abs/2401.16713
This article addresses the problem of multi-object tracking by using a non-deterministic model of target behaviors with hard constraints. To capture the evolution of target features as well as their locations, we permit objects to lie in a general to
Externí odkaz:
http://arxiv.org/abs/2401.12182
Autor:
Rowan-Robinson, Michael
Models derived in 2009 to fit mid-infrared (8-24 micron) source counts from the IRAS, ISO and Spitzer missions, provide an excellent fit to deep counts with JWST, demonstrating that the evolution of dusty star-forming galaxies is well understood. The
Externí odkaz:
http://arxiv.org/abs/2312.03007
Autor:
Sterken, Veerle J., Hunziker, Silvan, Dialynas, Kostas, Leitner, Jan, Sommer, Maximilian, Srama, Ralf, Baalmann, Lennart R., Li, Aigen, Herbst, Konstantin, Galli, André, Brandt, Pontus, Riebe, My, Baggaley, Jack, Blanc, Michel, Czechowski, Andrej, Effenberger, Frederic, Fields, Brian, Frisch, Priscilla, Horanyi, Mihaly, Hsu, Hsiang-Wen, Khawaja, Nozair, Krüger, Harald, Kurth, Bill S., Ligterink, Niels F. W., Linsky, Jeffrey L., Lisse, Casey, Malaspina, David, Miller, Jesse A., Opher, Merav, Poppe, Andrew R., Postberg, Frank, Provornikova, Elena, Redfield, Seth, Richardson, John, Rowan-Robinson, Michael, Scherer, Klaus, Shen, Mitchell M., Slavin, Jon D., Sternovsky, Zoltan, Stober, Gunter, Strub, Peter, Szalay, Jamey, Trieloff, Mario
Publikováno v:
RAS Techniques and Instruments, rzad034 (2023)
We discuss the synergies between heliospheric and dust science, the open science questions, the technological endeavors and programmatic aspects that are important to maintain or develop in the decade to come. In particular, we illustrate how we can
Externí odkaz:
http://arxiv.org/abs/2308.10728
Autor:
Wang, Michael, Robinson, Michael
Fuzzing is a popular vulnerability automated testing method utilized by professionals and broader community alike. However, despite its abilities, fuzzing is a time-consuming, computationally expensive process. This is problematic for the open source
Externí odkaz:
http://arxiv.org/abs/2307.11917
There is increasing focus on analyzing data represented as hypergraphs, which are better able to express complex relationships amongst entities than are graphs. Much of the critical information about hypergraph structure is available only in the inte
Externí odkaz:
http://arxiv.org/abs/2307.11681