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26 Jun 2023: 1] Abadi, M. et al. TensorFlow: A System for Large-Scale Machine Learning, OSDI, 2016. ... 12] Martín Abadi et al. Tensorflow: A system for large-scale machine learning, OSDI, 2016.

6 Dec 2023: depth in electricity pricing (Sijm, Bakker et al. 2005; Sijm, Chen et al. ... Thomas, Cameron et al. 2004; Bosi and Ellis 2005; Watson, Newman et al.

15 May 2023: The contrast sensitivity function was refitted to newer data (from [Kim et al., 2013]). • ... The metric includes a model of local adaptation from [Vangorp et al., 2015]. •

10 Oct 2023: 49-64. IEEE, 2014. Paul Kocher, Jann Horn, Anders Fogh, Daniel Genkin, Daniel Gruss, Werner Haas, Mike Hamburg et al. ... Moore, John Baldwin, David Chisnall et al.

20 Feb 2023: G70.71.2, which was reported as a SNR by Reich et al. ... Watson et al.2003, Leto et al. 2009). • G203.2–12.3, a optical ring about 3 arcmin in diameter, was reported as a possible SNR by Winkler &Reipurth (1992), but

9 Jul 2023: As Aktipis et al (2011) argue, the value of social bonds like osotua is that they contribute to ‘risk-‐pooling’. ... This aids risk mitigation because many of the risks which pastoralists face are indeed diversifiable (see Watson et al 2016).

5 Oct 2023: 2006) Narayanan & Shmatikov (2007). rm2152qct20cw829. 2 Nov Adversarial Reasoning II Razavi et al. ... 2010)Vasek & Moore (2015). ic429rm2152. 16 Nov Correctness v. Mitigation Klein et al.

12 Dec 2023: Watson et al.41 with 4% higher esti-mated peak demand (177GWh) with a larger deviation is observed at20% for the maximum ramp up in heat demand (72GWh vs 60GWh).Compared ... to Sansom et al.24 we derive a significantly lower peakdemand (36%) and almost 45

9 Jul 2023: uncertainty, and its basic statistical properties have been documented.1 Yu et al. ... Finance Research Letters 22, 249–258. 21. Notes. 1. See, among others, Stock and Watson (2012), Bachmann et al.

5 Dec 2023: models reported from comparison exercises of the Energy Modelling Forum (Kainuma et al. ... and] be a useful first step to stricter mandate requirements.” Watson et al.