Buffalo Medical and Surgical Journal: Book Reviews

By Aaas News, E. Lu, Min-Min Zhou, Rong Mocsai, A. Myers, E. Huang, B. Jackson, Davide Ferrari, V. Tybulewicz, V. Lowell and 63 more

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Citations in the corpus

Federated Learning with Autotuned Communication-Efficient Secure Aggregation (2019, methodology): “Following the recipe outlined in section II-F and using the Federated Averaging algorithm for federated learning [9], we conducted experiments on the CIFAR-10 dataset [10].”
Wasserstein Auto-Encoders (2017, methodology): “Similar results for random decoders can be found in [11].”
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy (2018, methodology): “The special case of gradient computation in the presence of adversaries was considered in [21], using a replication approach similar to [12]–[14].”
NuSTEC White Paper: Status and challenges of neutrino–nucleus scattering (2017, methodology): “[68] F. Cavanna, M. Kordosky, J. Raaf, and B. Rebel (LArIAT), (2014), arXiv:1406.5560 [physics.ins-det].”
Global Minimum-Jerk Trajectory Planning of Space Manipulator (2006, background): “Moreover, the dynamics coupling between the manipulator and the base (spacecraft or satellite) will affect the performance of manipulator [1].”
Nonrelativistic strings and limits of the AdS/CFT correspondence (2017, background): “Non-Lorentzian geometry has appeared in recent years in a wide variety of settings such as non-AdS holography [1, 2], effective actions of non-relativistic field theories including those relevant for the fractional quantum Hall effect [3–6] and gravity theories with non-relativistic local symmetries”
Phonon scattering dominated electron transport in twisted bilayer graphene (2019, background): “3 with λ∗ ≈ 1, phonon-driven superconductivity may be expected [10, 19, 22] at temperatures of order the bandwidth, well above experimentally reported transition temperatures [2, 3].”
Detecting Overfitting of Deep Generative Networks via Latent Recovery (2019, background): “[28] examined the log likelihoods for such models and showed that while some GAN models generalized nicely to validation samples, out of distribution samples, such as those taken from completely different datasets, yield higher likelihoods.”
Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders (2018, background): “Here, x̂ is the initial guess (often taken to be x̂n−1 or a data-driven extrapolation [18]), and α ∈ R is the step length.”
Photocurrents in Weyl semimetals (2016, background): “include the type-I TaAs family [33–36], or the type-II compounds such as WTe2 [15] and MoTe2 [37].”
Oxidation-resistant titanium carbide MXene films (2020, unknown): “2 This work Graphene 43 12 100 [1] Graphene 5 30 115 [2] AgNW 20 5 73 [3] AgNW 30 10 200 [4]”
Onset of many-body chaos in the $O(N)$ model (2017, background): “It will be interesting to understand, for example, if a more highly entangled critical point like the one described by QED3 scrambles faster than the corresponding OðNÞ critical point [76].”
Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning (2017, background): “[12, 13] have relative signs such that they roughly cancel, so the (1)S [8] 0 dominates production and J/ are unpolarized.”