GPS imaging of vertical bedrock displacements : quantification of two-dimensional vertical crustal deformation in China by Pan, Yuanjin, Hammond, William C., Ding, Hao, Mallick, Rishav, Jiang, Weiping, Xu, Xinyu, Shum, C. K., Shen, Wenbin

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Uncertainty Quantification in Deep Learning Models of G-Computation for Outcome Prediction under Dynamic Treatment Regimes by Deng, Leon

“…This thesis aims to add uncertainty quantification to both the RNN-based G-Net and the G-Transformer. …”
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“UPDATE: I’m pregnant!”: inferring global downloads and reasons for using menstrual tracking apps by Rampazzo, F, Raybould, A, Rampazzo, P, Barker, R, Leasure, D

Ritual speech, performativity, and modality by Frangulov, AM

“…Specifically, the default speech event, which Hacquard (2010) posits, can be the target of Eckardt's (2012) self-referential inference that the described event is identical with the ongoing transfer of information, which allows the assertion to be self-referential and therefore performative, without encountering the problem of the quantification on the agent of the matrix verb. …”

Probabilistic photonic computing with chaotic light by Brückerhoff-Plückelmann, F, Borras, H, Klein, B, Varri, A, Becker, M, Dijkstra, J, Brückerhoff, M, Wright, CD, Salinga, M, Bhaskaran, H, Risse, B, Fröning, H, Pernice, W

“…In contrast, treating an ANN as a probabilistic model derived via Bayesian inference poses significant challenges for conventional deterministic computing architectures. …”

Bayesian lesion estimation with a structured spike-and-slab prior by Menacher, A, Nichols, T, Holmes, C, Ganjgahi, H

“…The use of mean-field variational inference with dynamic posterior exploration, which is an annealing-like strategy that improves optimization, allows our method to scale to large sample sizes. …”

Uncertainty & robustness for single-cell studies by Shiffman, Miriam

“…This thesis makes two main advances in facilitating coherent, actionable quantification of uncertainty and robustness for single-cell studies. …”
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