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pro vyhledávání: '"Williams, Daniel A"'
This paper addresses differential inference in time-varying parametric probabilistic models, like graphical models with changing structures. Instead of estimating a high-dimensional model at each time and inferring changes later, we directly learn th
Externí odkaz:
http://arxiv.org/abs/2410.10637
Many use cases require retrieving smaller portions of text, and dense vector-based retrieval systems often perform better with shorter text segments, as the semantics are less likely to be over-compressed in the embeddings. Consequently, practitioner
Externí odkaz:
http://arxiv.org/abs/2409.04701
Using an idealised climate model incorporating seasonal forcing, we investigate the impact of rotation rate on the abundance of clouds on an Earth-like aquaplanet, and the resulting impacts upon albedo and seasonality. We show that the cloud distribu
Externí odkaz:
http://arxiv.org/abs/2402.04900
Autor:
Saha, Surojit, Williams, Michael J., Datrier, Laurence, Hayes, Fergus, Nicholl, Matt, Kong, Albert K. H., Hendry, Martin, Heng, IK Siong, Lamb, Gavin P., Lin, En-Tzu, Williams, Daniel
The discovery of the optical counterpart, along with the gravitational waves from GW170817, of the first binary neutron star merger, opened up a new era for multi-messenger astrophysics. Combining the GW data with the optical counterpart, also known
Externí odkaz:
http://arxiv.org/abs/2310.17450
Autor:
Williams, Daniel J., Liu, Song
Estimating truncated density models is difficult, as these models have intractable normalising constants and hard to satisfy boundary conditions. Score matching can be adapted to solve the truncated density estimation problem, but requires a continuo
Externí odkaz:
http://arxiv.org/abs/2306.00602
With the increasing ubiquity of networked control systems, various strategies for sampling constituent subsystems' outputs have emerged. In contrast with periodic sampling, event-triggered control provides a way to efficiently sample a subsystem and
Externí odkaz:
http://arxiv.org/abs/2211.13846
Autor:
Ebersold, Michael, Tiwari, Shubhanshu, Smith, Leigh, Bae, Yeong-Bok, Kang, Gungwong, Williams, Daniel, Gopakumar, Achamveedu, Heng, Ik Siong, Haney, Maria
Publikováno v:
Phys. Rev. D 106, 104014 (2022)
Dense astrophysical environments like globular clusters and galactic nuclei can host hyperbolic encounters of black holes which can lead to gravitational-wave driven capture. There are several astrophysical models which predict a fraction of binary b
Externí odkaz:
http://arxiv.org/abs/2208.07762
Autor:
Williams, Daniel, Veitch, John, Chiofalo, Maria Luisa, Schmidt, Patricia, Udall, Richard P., Vajpeji, Avi, Hoy, Charlie
Since the first detection in 2015 of gravitational waves from compact binary coalescence, improvements to the Advanced LIGO and Advanced Virgo detectors have expanded our view into the universe for these signals. Searches of the of the latest observi
Externí odkaz:
http://arxiv.org/abs/2207.01468
Autor:
Williams, Daniel J., Liu, Song
When observations are truncated, we are limited to an incomplete picture of our dataset. Recent methods propose to use score matching for truncated density estimation, where the access to the intractable normalising constant is not required. We prese
Externí odkaz:
http://arxiv.org/abs/2206.14668
Trust between humans and multi-agent robotic swarms may be analyzed using human preferences. These preferences are expressed by an individual as a sequence of ordered comparisons between pairs of swarm behaviors. An individual's preference graph can
Externí odkaz:
http://arxiv.org/abs/2203.14437