Attractor FCM: A Novel Fuzzy Cognitive Map Model Integrating Physics Constraints
A latest arXiv paper proposes a novel Attractor Fuzzy Cognitive Map (Attractor FCM) built on gradient descent and Jacobi…
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A latest arXiv paper proposes a novel Attractor Fuzzy Cognitive Map (Attractor FCM) built on gradient descent and Jacobi…
A latest arXiv paper proposes a topology-aware design methodology for very large-scale photonic AI accelerators, aiming …
Researchers have proposed the Multiobjective Animorphic Ensemble Optimization (MAEO) framework, which employs an island-…
A research team has introduced the EdgeSpike framework, combining spiking neural networks with hardware-aware neural arc…
A research team has proposed JI-ADF, a tri-modal deep learning framework that integrates dermoscopic images, clinical ph…
A new study systematically analyzes the cross-architecture adversarial attack transferability of vision-language models …
A latest arXiv paper introduces the VeraRetouch framework, achieving fully differentiable multi-task reasoning-based pho…
A research team has proposed the COHERENCE benchmark, focusing on evaluating the fine-grained image-text alignment capab…
A new study proposes the Judge-Then-Drive framework, the first to introduce the "critic" capability of Vision-Language-A…
A latest arXiv paper proposes a hyperspectral image classification method based on global spectral supertoken clustering…
A latest arXiv paper proposes an iterative semantic prototype optimization method powered by large language models. By a…
Researchers propose CasLayout, a cascaded diffusion framework that simulates human design cognition to generate 3D indoo…