Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Ott, Jordan"'
Autor:
Farrell, Delaney, Baldi, Pierre, Ott, Jordan, Ghosh, Aishik, Steiner, Andrew W., Kavitkar, Atharva, Lindblom, Lee, Whiteson, Daniel, Weber, Fridolin
The interiors of neutron stars reach densities and temperatures beyond the limits of terrestrial experiments, providing vital laboratories for probing nuclear physics. While the star's interior is not directly observable, its pressure and density det
Externí odkaz:
http://arxiv.org/abs/2305.07442
Autor:
Farrell, Delaney, Baldi, Pierre, Ott, Jordan, Ghosh, Aishik, Steiner, Andrew W., Kavitkar, Atharva, Lindblom, Lee, Whiteson, Daniel, Weber, Fridolin
Neutron stars provide a unique laboratory for studying matter at extreme pressures and densities. While there is no direct way to explore their interior structure, X-rays emitted from these stars can indirectly provide clues to the equation of state
Externí odkaz:
http://arxiv.org/abs/2209.02817
Autor:
Stanfield, Matthew, Ott, Jordan, Gardner, Christopher, Beier, Nicholas F., Farinella, Deano, Mancuso, Christopher A., Baldi, Pierre, Dollar, Franklin
Ultrafast lasers ($< 500$ fs) have enabled laser-matter interactions at intensities exceeding $10^{18} \rm{Wcm}^{-2}$ with only millijoules of laser energy. However, as pulse durations become shorter, larger spectral bandwidths are required. Increasi
Externí odkaz:
http://arxiv.org/abs/2104.08372
Autor:
Ott, Jordan, Bruyette, David, Arbuckle, Cody, Balsz, Dylan, Hecht, Silke, Shubitz, Lisa, Baldi, Pierre
Coccidioidomycosis is the most common systemic mycosis in dogs in the southwestern United States. With warming climates, affected areas and number of cases are expected to increase in the coming years, escalating also the chances of transmission to h
Externí odkaz:
http://arxiv.org/abs/2102.00280
Autor:
Liu, Junze, Ott, Jordan, Collado, Julian, Jargowsky, Benjamin, Wu, Wenjie, Bian, Jianming, Baldi, Pierre
In the framework of three-active-neutrino mixing, the charge parity phase, the neutrino mass ordering, and the octant of $\theta_{23}$ remain unknown. The Deep Underground Neutrino Experiment (DUNE) is a next-generation long-baseline neutrino oscilla
Externí odkaz:
http://arxiv.org/abs/2012.06181
Autor:
Mooers, Griffin, Pritchard, Mike, Beucler, Tom, Ott, Jordan, Yacalis, Galen, Baldi, Pierre, Gentine, Pierre
We explore the potential of feed-forward deep neural networks (DNNs) for emulating cloud superparameterization in realistic geography, using offline fits to data from the Super Parameterized Community Atmospheric Model. To identify the network archit
Externí odkaz:
http://arxiv.org/abs/2010.12996
Sherpa is a hyperparameter optimization library for machine learning models. It is specifically designed for problems with computationally expensive, iterative function evaluations, such as the hyperparameter tuning of deep neural networks. With Sher
Externí odkaz:
http://arxiv.org/abs/2005.04048
Implementing artificial neural networks is commonly achieved via high-level programming languages like Python and easy-to-use deep learning libraries like Keras. These software libraries come pre-loaded with a variety of network architectures, provid
Externí odkaz:
http://arxiv.org/abs/2004.10652
Autor:
Ott, Jordan
Artificial Intelligence has historically relied on planning, heuristics, and handcrafted approaches designed by experts. All the while claiming to pursue the creation of Intelligence. This approach fails to acknowledge that intelligence emerges from
Externí odkaz:
http://arxiv.org/abs/2003.11642
Transfer learning allows us to train deep architectures requiring a large number of learned parameters, even if the amount of available data is limited, by leveraging existing models previously trained for another task. Here we explore the applicabil
Externí odkaz:
http://arxiv.org/abs/2003.01627