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   https://doi.org/10.1007/JHEP08(2022)047  

   Donahue, John C.; Dubovsky, Sergei (August 2022, Journal of High Energy Physics)

   A bstract The zigzag model is a relativistic integrable N -body system describing the leading high-energy semiclassical dynamics on the worldsheet of long confining strings in massive adjoint two-dimensional QCD. We discuss quantization of this model. We demonstrate that to achieve a consistent quantization of the model it is necessary to account for the non-trivial geometry of phase space. The resulting Poincaré invariant integrable quantum theory is a close cousin of $$ T\overline{T} $$ T T ¯ deformed models. 

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2. The Wisdom of Model Crowds

   https://doi.org/10.1287/mnsc.2021.4090  

   He, Lisheng; Analytis, Pantelis P.; Bhatia, Sudeep (May 2022, Management Science)

   A wide body of empirical research has revealed the descriptive shortcomings of expected value and expected utility models of risky decision making. In response, numerous models have been advanced to predict and explain people’s choices between gambles. Although some of these models have had a great impact in the behavioral, social, and management sciences, there is little consensus about which model offers the best account of choice behavior. In this paper, we conduct a large-scale comparison of 58 prominent models of risky choice, using 19 existing behavioral data sets involving more than 800 participants. This allows us to comprehensively evaluate models in terms of individual-level predictive performance across a range of different choice settings. We also identify the psychological mechanisms that lead to superior predictive performance and the properties of choice stimuli that favor certain types of models over others. Moreover, drawing on research on the wisdom of crowds, we argue that each of the existing models can be seen as an expert that provides unique forecasts in choice predictions. Consistent with this claim, we find that crowds of risky choice models perform better than individual models and thus provide a performance bound for assessing the historical accumulation of knowledge in our field. Our results suggest that each model captures unique aspects of the decision process and that existing risky choice models offer complementary rather than competing accounts of behavior. We discuss the implications of our results on theories of risky decision making and the quantitative modeling of choice behavior. This paper was accepted by Yuval Rottenstreich, behavioral economics and decision analysis. 

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3. The impact of model approximation in multiparametric model predictive control

   https://doi.org/10.1016/j.cherd.2018.09.034  

   Katz, Justin; Burnak, Baris; Pistikopoulos, Efstratios N. (November 2018, Chemical Engineering Research and Design)
4. The Privacy Blanket of the Shuttle Model

   B. Balle, J. Bell (January 2019, CRYPTO 2019)
5. The Landscape of the Spiked Tensor Model

   https://doi.org/10.1002/cpa.21861  

   Arous, Gérard Ben; Mei, Song; Montanari, Andrea; Nica, Mihai (May 2019, Communications on Pure and Applied Mathematics)