To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated. MIT Technology Review Explains: Let our writers untangle the complex, messy ...
Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs (TKGs), challenging the conventional reliance on graph-based techniques and ...
Abstract: Complex networks with their nontrivial topological features and rich patterns of interactions are commonly used to model real-world systems, including social networks, biological systems, ...
a, Results based on the previous algorithm using an exponential auxiliary function. The concave shape of the exponential function fails to match the initial convex trend of the actual robust function ...
We constructed a backbone network based on commenter overlap and conducted a social network analysis (SNA) to examine the temporal dynamics. We further applied exponential random graph models (ERGMs) ...
ABSTRACT: The exact solutions for deterministic chaos, stochastic chaos, and wave turbulence have been developed in terms of exponential oscillons and pulsons, which are governed by the nonstationary ...
ABSTRACT: The exact solutions for deterministic chaos, stochastic chaos, and wave turbulence have been developed in terms of exponential oscillons and pulsons, which are governed by the nonstationary ...
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