Zobrazeno 1 - 10
of 32 467
pro vyhledávání: '"Barber, P. a."'
Training generative models to sample from unnormalized density functions is an important and challenging task in machine learning. Traditional training methods often rely on the reverse Kullback-Leibler (KL) divergence due to its tractability. Howeve
Externí odkaz:
http://arxiv.org/abs/2410.12456
Autor:
Barber, Jordan, Antonini, Fabio
Understanding binary black hole (BBH) dynamics in dense star clusters is key to interpreting the gravitational wave detections by LIGO and Virgo. Here, we perform $N$-body simulations of star clusters, focusing on BBH formation mechanisms, dynamical
Externí odkaz:
http://arxiv.org/abs/2410.03832
Autor:
Kim, Michael E., Gao, Chenyu, Ramadass, Karthik, Kanakaraj, Praitayini, Newlin, Nancy R., Rudravaram, Gaurav, Schilling, Kurt G., Dewey, Blake E., Bennett, David A., OBryant, Sid, Barber, Robert C., Archer, Derek, Hohman, Timothy J., Bao, Shunxing, Li, Zhiyuan, Landman, Bennett A., Khairi, Nazirah Mohd, Initiative, The Alzheimers Disease Neuroimaging, Team, The HABSHD Study
Proper quality control (QC) is time consuming when working with large-scale medical imaging datasets, yet necessary, as poor-quality data can lead to erroneous conclusions or poorly trained machine learning models. Most efforts to reduce data QC time
Externí odkaz:
http://arxiv.org/abs/2409.17286
Autor:
Thao, Pa Chia, Mann, Andrew W., Feinstein, Adina D., Gao, Peter, Thorngren, Daniel, Rotman, Yoav, Welbanks, Luis, Brown, Alexander, Duvvuri, Girish M., France, Kevin, Longo, Isabella, Sandoval, Angeli, Schneider, P. Christian, Wilson, David J., Youngblood, Allison, Vanderburg, Andrew, Barber, Madyson G., Wood, Mackenna L., Batalha, Natasha E., Kraus, Adam L., Murray, Catriona Anne, Newton, Elisabeth R., Rizzuto, Aaron, Tofflemire, Benjamin M., Tsai, Shang-Min, Bean, Jacob L., Berta-Thompson, Zachory K., Evans-Soma, Thomas M., Froning, Cynthia S., Kempton, Eliza M. -R., Miguel, Yamila, Pineda, J. Sebastian
The characterization of young planets (< 300 Myr) is pivotal for understanding planet formation and evolution. We present the 3-5$\mu$m transmission spectrum of the 17 Myr, Jupiter-size ($R$ $\sim$10$R_{\oplus}$) planet, HIP 67522 b, observed with JW
Externí odkaz:
http://arxiv.org/abs/2409.16355
We examine bicoset digraphs and their natural properties from the point of view of symmetry. We then consider connected bicoset digraphs that are $X$-joins with collections of empty graphs, and show that their automorphism groups can be obtained from
Externí odkaz:
http://arxiv.org/abs/2409.11092
Autor:
Aykac, Deniz, Brogan, Joel, Barber, Nell, Shivers, Ryan, Zhang, Bob, Sacca, Dallas, Tipton, Ryan, Jager, Gavin, Garret, Austin, Love, Matthew, Goddard, Jim, Cornett III, David, Bolme, David S.
The considerable body of data available for evaluating biometric recognition systems in Research and Development (R\&D) environments has contributed to the increasingly common problem of target performance mismatch. Biometric algorithms are frequentl
Externí odkaz:
http://arxiv.org/abs/2409.01540
Autor:
Bolme, David S., Aykac, Deniz, Shivers, Ryan, Brogan, Joel, Barber, Nell, Zhang, Bob, Davies, Laura, Cornett III, David
This paper examines covariate effects on fused whole body biometrics performance in the IARPA BRIAR dataset, specifically focusing on UAV platforms, elevated positions, and distances up to 1000 meters. The dataset includes outdoor videos compared wit
Externí odkaz:
http://arxiv.org/abs/2409.01514
It has recently been shown that extended cosmological epochs can exist during which the abundances associated with different energy components remain constant despite cosmological expansion. Indeed, this "stasis" behavior has been found to arise gene
Externí odkaz:
http://arxiv.org/abs/2408.16255
Autor:
Schärer, Nicolas, Mikhaylov, Denis, Sievi, Cédric, Hanna, Badoui, Braud, Caroline, Deparday, Julien, Barber, Sarah, Polonelli, Tommaso, Magno, Michele
Wind power generation plays a crucial role in transitioning away from fossil fuel-dependent energy sources, contributing significantly to the mitigation of climate change. Monitoring and evaluating the aerodynamics of large wind turbine rotors is cru
Externí odkaz:
http://arxiv.org/abs/2408.11458
Given a family of pretrained models and a hold-out set, how can we construct a valid conformal prediction set while selecting a model that minimizes the width of the set? If we use the same hold-out data set both to select a model (the model that yie
Externí odkaz:
http://arxiv.org/abs/2408.07066