Zobrazeno 1 - 10
of 175 924
pro vyhledávání: '"BERNSTEIN A"'
Autor:
Boyko Maria, Antipushina Ekaterina, Bernstein Alexander, Sharaev Maxim, Apanovich Natalya, Matveev Vsevolod, Alferova Vera, Matveev Alexey
Publikováno v:
BIO Web of Conferences, Vol 100, p 01009 (2024)
Kidney cancer has a high metastatic potential with up to 30% of patients developing distant metastasis after surgery. We assessed the value of AI models in predicting the metastatic potential of clear cell renal cell carcinoma (ccRCC), based on the g
Externí odkaz:
https://doaj.org/article/bd492b02e3d44d59b39f086d7511086d
Autor:
Park, Joon Sung, Zou, Carolyn Q., Shaw, Aaron, Hill, Benjamin Mako, Cai, Carrie, Morris, Meredith Ringel, Willer, Robb, Liang, Percy, Bernstein, Michael S.
The promise of human behavioral simulation--general-purpose computational agents that replicate human behavior across domains--could enable broad applications in policymaking and social science. We present a novel agent architecture that simulates th
Externí odkaz:
http://arxiv.org/abs/2411.10109
Autor:
Ikarashi, Yuka, Qian, Kevin, Droubi, Samir, Reinking, Alex, Bernstein, Gilbert, Ragan-Kelley, Jonathan
User-schedulable languages (USLs) help programmers productively optimize programs by providing safe means of transforming them. Current USLs are designed to give programmers exactly the control they want, while automating all other concerns. However,
Externí odkaz:
http://arxiv.org/abs/2411.07211
Nonlinear cosmological fields like galaxy density and lensing convergence can be approximately related to Gaussian fields via analytic point transforms. The lognormal transform (LN) has been widely used and is a simple example of a function that rela
Externí odkaz:
http://arxiv.org/abs/2411.04759
Autor:
Ghandeharizadeh, Shahram, Bernstein, Philip A., Borthakur, Dhruba, Huang, Haoyu, Menon, Jai, Puri, Sumit
Modern applications demand high performance and cost efficient database management systems (DBMSs). Their workloads may be diverse, ranging from online transaction processing to analytics and decision support. The cloud infrastructure enables disaggr
Externí odkaz:
http://arxiv.org/abs/2411.01269
In spite of efforts to increase participation, many online groups struggle to survive past the initial days, as members leave and activity atrophies. We argue that a main assumption of online group design -- that groups ask nothing of their members b
Externí odkaz:
http://arxiv.org/abs/2410.23267
Autor:
McCullough, J., Amon, A., Legnani, E., Gruen, D., Roodman, A., Friedrich, O., MacCrann, N., Becker, M. R., Myles, J., Dodelson, S., Samuroff, S., Blazek, J., Prat, J., Honscheid, K., Pieres, A., Ferté, A., Alarcon, A., Drlica-Wagner, A., Choi, A., Navarro-Alsina, A., Campos, A., Malagón, A. A. Plazas, Porredon, A., Farahi, A., Ross, A. J., Rosell, A. Carnero, Yin, B., Flaugher, B., Yanny, B., Sánchez, C., Chang, C., Davis, C., To, C., Doux, C., Brooks, D., James, D. J., Cid, D. Sanchez, Hollowood, D. L., Huterer, D., Rykoff, E. S., Gaztanaga, E., Huff, E. M., Suchyta, E., Sheldon, E., Sanchez, E., Tarsitano, F., Andrade-Oliveira, F., Castander, F. J., Bernstein, G. M., Gutierrez, G., Giannini, G., Tarle, G., Diehl, H. T., Huang, H., Harrison, I., Sevilla-Noarbe, I., Tutusaus, I., Ferrero, I., Elvin-Poole, J., Marshall, J. L., Muir, J., Weller, J., Zuntz, J., Carretero, J., DeRose, J., Frieman, J., Cordero, J., De Vicente, J., García-Bellido, J., Mena-Fernández, J., Eckert, K., Romer, A. K., Bechtol, K., Herner, K., Kuehn, K., Secco, L. F., da Costa, L. N., Paterno, M., Soares-Santos, 21 M., Gatti, M., Raveri, M., Yamamoto, M., Smith, M., Kind, M. Carrasco, Troxel, M. A., Aguena, M., Jarvis, M., Swanson, M. E. C., Weaverdyck, N., Lahav, O., Doel, P., Wiseman, P., Miquel, R., Gruendl, R. A., Cawthon, R., Allam, S., Hinton, S. R., Bridle, S. L., Bocquet, S., Desai, S., Pandey, S., Everett, S., Lee, S., Shin, T., Palmese, A., Conselice, C., Burke, D. L., Buckley-Geer, E., Lima, M., Vincenzi, M., Pereira, M. E. S., Crocce, M., Schubnell, M., Jeffrey, N., Alves, O., Vikram, V., Zhang, Y., Collaboration, DES
Modeling the intrinsic alignment (IA) of galaxies poses a challenge to weak lensing analyses. The Dark Energy Survey is expected to be less impacted by IA when limited to blue, star-forming galaxies. The cosmological parameter constraints from this b
Externí odkaz:
http://arxiv.org/abs/2410.22272
Autor:
Bernstein, Jeremy, Newhouse, Laker
An old idea in optimization theory says that since the gradient is a dual vector it may not be subtracted from the weights without first being mapped to the primal space where the weights reside. We take this idea seriously in this paper and construc
Externí odkaz:
http://arxiv.org/abs/2410.21265
We consider the foundational problem of maintaining a $(1-\varepsilon)$-approximate maximum weight matching (MWM) in an $n$-node dynamic graph undergoing edge insertions and deletions. We provide a general reduction that reduces the problem on graphs
Externí odkaz:
http://arxiv.org/abs/2410.18936
In the restricted shortest paths problem, we are given a graph $G$ whose edges are assigned two non-negative weights: lengths and delays, a source $s$, and a delay threshold $D$. The goal is to find, for each target $t$, the length of the shortest $(
Externí odkaz:
http://arxiv.org/abs/2410.17179