First 2D Lyα RHD simulations show Lyman-alpha radiation pressure yields radiative forces of 2-16 times L_bol/c and force multipliers of 10-60, dominating other pre-supernova feedback in metal-poor environments.
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A framework integrating local direct reciprocity and global indirect reciprocity shows conditional cooperators resist invasion by unconditional strategies and that forgiving strategies best sustain cooperation.
Proves existence of the C-type renormalisation two-cycle in a Banach space of analytic maps with rigorous bounds on state-space scaling constants.
A decentralized virtual processor automatically exploits parallelism in array programs through local cooperative decisions without a central scheduler.
Introduces graph-to-image prediction of per-node dynamic stability landscapes in oscillator networks from topology, releases two 10k-graph datasets, and shows GNN-CNN models achieve good accuracy with cross-size generalization.
Linear estimators point-identify parameters of dynamic fixed effects logit models with only time effects when at least five time periods are available, enabling root-N consistent estimation.
Finite fixed-point iterations in implicit symplectic integrators induce a perturbed symplectic matrix that remains skew-symmetric, with one diagonal block vanishing and others showing O(h^{M+1}) perturbations, leading to controlled volume and energy errors.
fixest is an R package that delivers fast fixed-effects and other econometric estimations through a novel fixed-point acceleration algorithm in C++.
DenseAMs show tradeoffs between entropy production, retrieval accuracy, and speed at intermediate loads, with a new failure mode in higher-order networks at finite temperature.
The paper presents ModelPredictiveControl.jl, an open-source Julia toolkit for model predictive control including nonlinear, economic, and successive linearization variants, illustrated with CSTR and inverted pendulum simulations and benchmarked against MATLAB.
DMK extended to rectangular cuboids with arbitrary periodicity via localized octree evaluations on cubical tilings and Fourier-space root-level summation with truncated kernels for reduced periodicity.
Differential halo zonotopes enable static verification of global robustness in DNNs by jointly propagating pairs of perturbed inputs while bounding divergence, with a relaxed confidence-based variant.
NektarIR is an MLIR-based domain-specific compiler that enables just-in-time compilation of finite element operators for spectral/hp element solvers on heterogeneous hardware.
Supervised learning approaches including kernel estimation, random forests, additive models, and deep learning are proposed to estimate conditional covariance matrices for removing multivariate environmental influences in SHM beyond standard response surface modeling.
AGESS combines elliptical slice sampling with diminishing adaptation to self-correct to fast mixing while preserving ergodicity for non-elliptical, multi-modal, and high-dimensional targets.
A Gauss-Newton-based parallel 3-D TEM inversion method employs rational near-best approximations of the matrix exponential to make time-dependent computations independent of the number of observation times.
An amortized reinforcement learning method enables immediate, observation-driven sequential optimization of genetic circuits while accounting for both intrinsic stochasticity and cross-laboratory variability without repeated inference steps.
An adaptive anisotropic composite quadrature strategy combined with refresh-based training narrows the gap between training and reference losses in neural residual minimization for PDEs while using quadrature points more efficiently.
A new Bayesian multiscale framework with cut inference jointly models heterogeneous viral load trajectories and household transmission, recovering parameters without bias on simulated data when viral sampling is frequent.
Gradient-based optimization of SUPER and FTPE pulse protocols via auto-differentiation and uniTEMPO yields higher preparation fidelities than resonant pi-pulses or standard two-photon excitation, with the advantage increasing at higher temperatures.
Reformulating DRL in a moving reference frame enables reliable control of rapid transitions between mode-locked states in a 1D RDE model by separating fast detonation propagation from slower operating-mode dynamics.
A distributionally robust PAC-Bayesian approach derives sub-Gaussian loss proxies and performance bounds tied to closed-loop operator norms via system level synthesis, enabling optimization-based safety certificates for controllers facing sim-to-real gaps.
Adaptive multi-criteria scoring with online logistic regression for Benders subproblem selection yields statistically significant runtime and integral improvements on 135 survivable network design instances.
Extends linear response theory to nonautonomous systems and applies it to optimal fingerprinting for attributing changes to multiple forcings in time-dependent backgrounds, with numerical tests on a climate model.
citing papers explorer
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Linear estimations of dynamic fixed effects logit models only with time effects
Linear estimators point-identify parameters of dynamic fixed effects logit models with only time effects when at least five time periods are available, enabling root-N consistent estimation.
-
fixest: A fast and feature-rich framework for econometric estimations in R
fixest is an R package that delivers fast fixed-effects and other econometric estimations through a novel fixed-point acceleration algorithm in C++.