Zobrazeno 1 - 10
of 5 824
pro vyhledávání: '"A Joslyn"'
Autor:
Stoltz, Kevin M., Joslyn, Cliff A.
Boolean networks are a valuable class of discrete dynamical systems models, but they remain fundamentally limited by their inability to capture multi-way interactions in their components. To remedy this limitation, we propose a model of Boolean hyper
Externí odkaz:
http://arxiv.org/abs/2408.17388
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
Autor:
Weidinger, Laura, Barnhart, Joslyn, Brennan, Jenny, Butterfield, Christina, Young, Susie, Hawkins, Will, Hendricks, Lisa Anne, Comanescu, Ramona, Chang, Oscar, Rodriguez, Mikel, Beroshi, Jennifer, Bloxwich, Dawn, Proleev, Lev, Chen, Jilin, Farquhar, Sebastian, Ho, Lewis, Gabriel, Iason, Dafoe, Allan, Isaac, William
Safety and responsibility evaluations of advanced AI models are a critical but developing field of research and practice. In the development of Google DeepMind's advanced AI models, we innovated on and applied a broad set of approaches to safety eval
Externí odkaz:
http://arxiv.org/abs/2404.14068
Autor:
Kolt, Noam, Anderljung, Markus, Barnhart, Joslyn, Brass, Asher, Esvelt, Kevin, Hadfield, Gillian K., Heim, Lennart, Rodriguez, Mikel, Sandbrink, Jonas B., Woodside, Thomas
Mitigating the risks from frontier AI systems requires up-to-date and reliable information about those systems. Organizations that develop and deploy frontier systems have significant access to such information. By reporting safety-critical informati
Externí odkaz:
http://arxiv.org/abs/2404.02675
Autor:
Kay, Bill, Aksoy, Sinan G., Baird, Molly, Best, Daniel M., Jenne, Helen, Joslyn, Cliff, Potvin, Christopher, Henselman-Petrusek, Gregory, Seppala, Garret, Young, Stephen J., Purvine, Emilie
In this position paper, we argue that when hypergraphs are used to capture multi-way local relations of data, their resulting topological features describe global behaviour. Consequently, these features capture complex correlations that can then serv
Externí odkaz:
http://arxiv.org/abs/2312.00023
Autor:
Praggastis, Brenda, Aksoy, Sinan, Arendt, Dustin, Bonicillo, Mark, Joslyn, Cliff, Purvine, Emilie, Shapiro, Madelyn, Yun, Ji Young
HyperNetX (HNX) is an open source Python library for the analysis and visualization of complex network data modeled as hypergraphs. Initially released in 2019, HNX facilitates exploratory data analysis of complex networks using algebraic topology, co
Externí odkaz:
http://arxiv.org/abs/2310.11626
Autor:
Myers, Audun, Bittner, Alyson, Aksoy, Sinan, Best, Daniel M., Henselman-Petrusek, Gregory, Jenne, Helen, Joslyn, Cliff, Kay, Bill, Seppala, Garret, Young, Stephen J., Purvine, Emilie
In this study we synthesize zigzag persistence from topological data analysis with autoencoder-based approaches to detect malicious cyber activity and derive analytic insights. Cybersecurity aims to safeguard computers, networks, and servers from var
Externí odkaz:
http://arxiv.org/abs/2309.08010
Autor:
Zoe Ryan, Emily Clark, Beatrice Cundiff, Joslyn Nichols, Maya Mahoney, Nkosi Evans, Thomas Campbell, Danny Kreider, Matt von Konrat
Publikováno v:
Research Ideas and Outcomes, Vol 10, Iss , Pp 1-16 (2024)
Over the last decade, access to global data has become increasingly critical for research, allowing insights into diverse biological, environmental and societal questions at a macro scale. Digitisation has greatly enhanced the use of herbarium data i
Externí odkaz:
https://doaj.org/article/1e2ed76961ea490ca015ac6d2c7410cd
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
Autor:
Ho, Lewis, Barnhart, Joslyn, Trager, Robert, Bengio, Yoshua, Brundage, Miles, Carnegie, Allison, Chowdhury, Rumman, Dafoe, Allan, Hadfield, Gillian, Levi, Margaret, Snidal, Duncan
International institutions may have an important role to play in ensuring advanced AI systems benefit humanity. International collaborations can unlock AI's ability to further sustainable development, and coordination of regulatory efforts can reduce
Externí odkaz:
http://arxiv.org/abs/2307.04699