Zobrazeno 1 - 10
of 111 439
pro vyhledávání: '"VAUGHAN BE"'
Publikováno v:
Computational Psychiatry, Vol 8, Iss 1, Pp 159–177-159–177 (2024)
Humans need to be on their toes when interacting with competitive others to avoid being taken advantage of. Too much caution out of context can, however, be detrimental and produce false beliefs of intended harm. Here, we offer a formal account of th
Externí odkaz:
https://doaj.org/article/c106a91b19244941bc80b95d3e4e7c73
Publikováno v:
International Journal of Methods in Psychiatric Research, Vol 33, Iss 1, Pp n/a-n/a (2024)
Abstract Introduction Psychological trauma is an established risk factor for psychosis. Trauma‐focused psychotherapies (TFPT) have been suggested as a potential treatment for reducing psychotic symptoms in those who have experienced trauma. We ther
Externí odkaz:
https://doaj.org/article/ad11cff2e95046d1b87c623ff6ca6e30
Publikováno v:
BJPsych Open, Vol 9 (2023)
Background Both stroke and psychosis are independently associated with high levels of disability. However, psychosis in the context of stroke has been under-researched. To date, there are no general population studies on their joint prevalence and as
Externí odkaz:
https://doaj.org/article/653399dccefa49c0a6b0848ed02cb53a
Autor:
Cooper, A. Feder, Choquette-Choo, Christopher A., Bogen, Miranda, Jagielski, Matthew, Filippova, Katja, Liu, Ken Ziyu, Chouldechova, Alexandra, Hayes, Jamie, Huang, Yangsibo, Mireshghallah, Niloofar, Shumailov, Ilia, Triantafillou, Eleni, Kairouz, Peter, Mitchell, Nicole, Liang, Percy, Ho, Daniel E., Choi, Yejin, Koyejo, Sanmi, Delgado, Fernando, Grimmelmann, James, Shmatikov, Vitaly, De Sa, Christopher, Barocas, Solon, Cyphert, Amy, Lemley, Mark, boyd, danah, Vaughan, Jennifer Wortman, Brundage, Miles, Bau, David, Neel, Seth, Jacobs, Abigail Z., Terzis, Andreas, Wallach, Hanna, Papernot, Nicolas, Lee, Katherine
We articulate fundamental mismatches between technical methods for machine unlearning in Generative AI, and documented aspirations for broader impact that these methods could have for law and policy. These aspirations are both numerous and varied, mo
Externí odkaz:
http://arxiv.org/abs/2412.06966
Autor:
Pham, William, Jarema, Alexander, Rim, Donggyu, Chen, Zhibin, Khlif, Mohamed S. H., Macefield, Vaughan G., Henderson, Luke A., Brodtmann, Amy
Background: Enlargement of perivascular spaces (PVS) is common in neurodegenerative disorders including cerebral small vessel disease, Alzheimer's disease, and Parkinson's disease. PVS enlargement may indicate impaired clearance pathways and there is
Externí odkaz:
http://arxiv.org/abs/2411.19564
Autor:
Bansal, Gagan, Vaughan, Jennifer Wortman, Amershi, Saleema, Horvitz, Eric, Fourney, Adam, Mozannar, Hussein, Dibia, Victor, Weld, Daniel S.
Remarkable advancements in modern generative foundation models have enabled the development of sophisticated and highly capable autonomous agents that can observe their environment, invoke tools, and communicate with other agents to solve problems. A
Externí odkaz:
http://arxiv.org/abs/2412.10380
Autor:
Dow, P. Alex, Vaughan, Jennifer Wortman, Barocas, Solon, Atalla, Chad, Chouldechova, Alexandra, Wallach, Hanna
There are few principles or guidelines to ensure evaluations of generative AI (GenAI) models and systems are effective. To help address this gap, we propose a set of general dimensions that capture critical choices involved in GenAI evaluation design
Externí odkaz:
http://arxiv.org/abs/2411.12709
Autor:
Shen, Yueyang, Sudjianto, Agus, R, Arun Prakash, Bhattacharyya, Anwesha, Rao, Maorong, Wang, Yaqun, Vaughan, Joel, Zhou, Nengfeng
We propose and study a minimalist approach towards synthetic tabular data generation. The model consists of a minimalistic unsupervised SparsePCA encoder (with contingent clustering step or log transformation to handle nonlinearity) and XGboost decod
Externí odkaz:
http://arxiv.org/abs/2411.10982
Autor:
Wallach, Hanna, Desai, Meera, Pangakis, Nicholas, Cooper, A. Feder, Wang, Angelina, Barocas, Solon, Chouldechova, Alexandra, Atalla, Chad, Blodgett, Su Lin, Corvi, Emily, Dow, P. Alex, Garcia-Gathright, Jean, Olteanu, Alexandra, Reed, Stefanie, Sheng, Emily, Vann, Dan, Vaughan, Jennifer Wortman, Vogel, Matthew, Washington, Hannah, Jacobs, Abigail Z.
Across academia, industry, and government, there is an increasing awareness that the measurement tasks involved in evaluating generative AI (GenAI) systems are especially difficult. We argue that these measurement tasks are highly reminiscent of meas
Externí odkaz:
http://arxiv.org/abs/2411.10939
We study the higher-order asymptotic development of a nonlocal phase transition energy in bounded domains and with prescribed external boundary conditions. The energy under consideration has fractional order $2s \in (0,1)$ and a first-order asymptoti
Externí odkaz:
http://arxiv.org/abs/2410.22873