UCGP is a universal physical adversarial patch that compromises cross-modal semantic alignment in IR-VLMs through curved-grid parameterization and representation-space disruption.
u ger, Robert and Hellstr \
10 Pith papers cite this work. Polarity classification is still indexing.
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method 4
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cs.NE 2 cs.RO 2 astro-ph.GA 1 cond-mat.mtrl-sci 1 cs.CV 1 math.OC 1 physics.chem-ph 1 quant-ph 1verdicts
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A methodology is proposed to integrate Life Cycle Assessment as an additional discipline in Multidisciplinary Design Analysis and Optimization frameworks for launch vehicle eco-design, demonstrated through multi-objective optimization on an expendable launcher.
MSC-CMA-ES makes CMA-ES restarts structure-aware via cyclic nearest-better basin discovery on Sobol pre-samples, achieving 2.7x higher target coverage than BIPOP-CMA-ES on composition functions across CEC suites.
Wiggle and Go! uses system identification from rope motion observations to predict parameters that enable zero-shot goal-conditioned dynamic manipulation, achieving 3.55 cm accuracy on 3D target striking versus 15.34 cm without parameter information.
CCV-QAOA is a new complex-valued continuous-variable variant of QAOA that solves real and complex multivariate optimization problems via a variational framework.
PhDLspec combines differential spectra from physical stellar models with a transformer to derive approximately 30 stellar parameters from low-resolution spectra hundreds of times faster than traditional calculations.
LUCID learns embodiment-agnostic intent models from unstructured human videos to train dexterous robot policies in simulation, enabling zero-shot transfer on real-world tasks like stirring and wiping.
Reactive MD simulations of mixed halide perovskites find that Br-induced strain propagates up to 2 nm and stabilizes the cubic phase at low Br concentrations by changing octahedra dynamics.
Empirical benchmarking shows tolfunhist and the full portfolio stop CMA-ES closest to the optimal evaluation count on BBOB, while tolfun and tolfunhist often trigger before full stagnation.
CovAngelo implements a QM/QM/MM embedding model using quantum-information metrics to compute reaction energy profiles and barriers for covalent drug binding at lower cost than conventional methods, demonstrated on zanubrutinib to BTK.
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