Zobrazeno 1 - 10
of 82 947
pro vyhledávání: '"A A, Barber"'
This book is about conformal prediction and related inferential techniques that build on permutation tests and exchangeability. These techniques are useful in a diverse array of tasks, including hypothesis testing and providing uncertainty quantifica
Externí odkaz:
http://arxiv.org/abs/2411.11824
Autor:
De Chant, J. T., Nakamura, K., Ji, Q., Obst-Huebl, L., Barber, S., Snijders, A. M., Geddes, C. G. R., van Tilborg, J., Gonsalves, A. J., Schroeder, C. B., Esarey, E.
Laser-driven (LD) ion acceleration has been explored in a newly constructed short focal length beamline at the BELLA petawatt facility (interaction point 2, iP2). For applications utilizing such LD ion beams, a beam transport system is required, whic
Externí odkaz:
http://arxiv.org/abs/2411.03543
Autor:
Fantoccoli, Federico, Barber, Jordan, Dosopoulou, Fani, Chattopadhyay, Debatri, Antonini, Fabio
We investigate black hole-star binaries formed in $N$-body simulations of massive, dense star clusters. We simulate 32 clusters with varying initial masses ($10^{4}~\rm M_{\odot}$ to $10^{6}~\rm M_{\odot}$), densities ($1200~\rm M_{\odot}~pc^{-3}$ to
Externí odkaz:
http://arxiv.org/abs/2410.17323
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:
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
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
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