Zobrazeno 1 - 10
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pro vyhledávání: '"Harvey, William A."'
Autor:
Green, Dylan, Harvey, William, Naderiparizi, Saeid, Niedoba, Matthew, Liu, Yunpeng, Liang, Xiaoxuan, Lavington, Jonathan, Zhang, Ke, Lioutas, Vasileios, Dabiri, Setareh, Scibior, Adam, Zwartsenberg, Berend, Wood, Frank
Current state-of-the-art methods for video inpainting typically rely on optical flow or attention-based approaches to inpaint masked regions by propagating visual information across frames. While such approaches have led to significant progress on st
Externí odkaz:
http://arxiv.org/abs/2405.00251
We uncover new non-supersymmetric boundary conditions in 10- and 11-dimensional supergravity whereby spacetime ends on a smeared distribution of D- and M-branes respectively. For example, we find a solution of type IIB supergravity where the AdS$_5\t
Externí odkaz:
http://arxiv.org/abs/2311.13643
Autor:
Campbell, Andrew, Harvey, William, Weilbach, Christian, De Bortoli, Valentin, Rainforth, Tom, Doucet, Arnaud
We propose a new class of generative models that naturally handle data of varying dimensionality by jointly modeling the state and dimension of each datapoint. The generative process is formulated as a jump diffusion process that makes jumps between
Externí odkaz:
http://arxiv.org/abs/2305.16261
Autor:
Harvey, William, Wood, Frank
Recent progress with conditional image diffusion models has been stunning, and this holds true whether we are speaking about models conditioned on a text description, a scene layout, or a sketch. Unconditional image diffusion models are also improvin
Externí odkaz:
http://arxiv.org/abs/2303.16187
Autor:
Harvey, William, Jensen, Kristan
We consider three-dimensional gravity with negative cosmological constant coupled to a large number of light matter fields dual to relevant operators. By imposing suitable boundary conditions on the matter fields we find eternal traversable wormhole
Externí odkaz:
http://arxiv.org/abs/2302.14049
We introduce a framework for automatically defining and learning deep generative models with problem-specific structure. We tackle problem domains that are more traditionally solved by algorithms such as sorting, constraint satisfaction for Sudoku, a
Externí odkaz:
http://arxiv.org/abs/2210.11633
Autor:
Harvey, William S1 w.harvey@mbs.edu, Spee, Andreas Paul2
Publikováno v:
Management Learning. Nov2024, Vol. 55 Issue 5, p769-789. 21p.
We present a framework for video modeling based on denoising diffusion probabilistic models that produces long-duration video completions in a variety of realistic environments. We introduce a generative model that can at test-time sample any arbitra
Externí odkaz:
http://arxiv.org/abs/2205.11495
Autor:
Wei, Chia-Lin, Bamshad, Michael J., Eichler, Evan E., Anderson, Kailyn, Anderson, Peter, Bacus, Tamara J., Best, Sabrina, Blue, Elizabeth E., Brower, Katherine, Buckingham, Kati J., Carroll, Brianne, Casadei, Silvia, Chong, Jessica X., Damaraju, Nikhita, Davis, Colleen P., Frazar, Christian D., Gibson, Sophia, Goffena, Joy, Gordon, William W., Gustafson, Jonas A., Harvey, William T., Horike-Pyne, Martha, Hurless, Jameson R., Jacques, Caitlin, Jarvik, Gail P., Johanson, Eric, Thomas Kolar, J., Liu, Xiaomeng, Marvin, Colby T., McGee, Sean, Meyers, Holli, Miller, Danny E., Nielsen, Patrick M., Patterson, Karynne, Radhakrishnan, Aparna, Richardson, Matthew A., Ryke, Erica L., Sarkytbayeva, Aliya, Shaffer, Tristan, Shively, Kathryn M., Sommers, Olivia M., Storz, Sophie H.R., Smith, Joshua D., Starita, Lea M., Tackettl, Monica, Ward, Sydney A., Weiss, Jeffrey M., Yi, Qian, Zalusky, Miranda P.G., Mefford, Heather, Mori, Takayasu, Fujimaru, Takuya, Liu, Chunyu, Yamamoto, Kouhei, Suzuki, Takefumi, Chiga, Motoko, Sekine, Akinari, Ubara, Yoshifumi, Mandai, Shintaro, Ando, Fumiaki, Mori, Yutaro, Kikuchi, Hiroaki, Susa, Koichiro, Tan, Yue-Qiu, Zhang, Feng, Uchida, Shinichi, Sohara, Eisei
Publikováno v:
In Kidney International Reports December 2024 9(12):3580-3591