eLife8d
Canonical neurodevelopmental trajectories of structural and functional manifolds
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Nature21d
Surface Renewal and Molecular Diffusion in Interphase Mass Transfer
It is now generally accepted that they are due to the formation of local gradients of interfacial tension caused by local variations of solute concentration at the interface as the result of mass ...
marktechpost24d
Hypernetwork Fields: Efficient Gradient-Driven Training for Scalable Neural Network Optimization
This idea draws inspiration from generative models like diffusion models, consistency models, and flow-matching frameworks, which navigate high-dimensional latent spaces through gradient-guided ...
IEEE29d
Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models Via Diffusion Models
To address these issues, we propose AdvDiffVLM, which uses diffusion models to generate natural, unrestricted and targeted adversarial examples via score matching. Specifically, AdvDiffVLM uses ...
IEEE29d
UAV-Enabled Secure Data Collection and Energy Transfer in IoT via Diffusion Model-Enhanced Deep Reinforcement Learning
Given the non-convex and dynamic nature of this optimization problem, we propose a diffusion model-enhanced twin delayed deep deterministic policy gradient (DMTD3) algorithm to solve the problem.