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O SkillsMP coletou 4.114 skills de hiyenwong/ai_collection. Abra uma skill para revisar a origem e os detalhes.
hiyenwong/ai_collectionMostrando 40 de 4.114 skills coletadas.
Empirical scaling laws in balanced networks with conductance-based synapses. Shows that conductance-based synapses + spike time correlations together produce realistic membrane potential variability — neither alone suffices. Activation: balanced network…
Idioma do texto original: inglês
Bayes-consistent orchestration patterns for multi-agent AI systems. Use when designing, implementing, or analyzing agentic AI systems that compose multiple agents, tools, or reasoning steps.
Idioma do texto original: inglês
Agentic framework for online system operations with Flexible Skill Arrangement. Use when designing LLM-based agents for system O&M, IT operations, DevOps automation, alert management, root cause analysis, or self-evolving agent systems. Activation triggers:…
Idioma do texto original: inglês
Compute-matched scaling analysis of byte-level modeling revealing context fragility disparity between MDM and AR paradigms, with structural bias recommendations for modality-agnostic designs.
Idioma do texto original: inglês
Byzantine-resilient consensus via active reputation learning methodology. Core idea: embed active reputation learning into the consensus loop, where agents evaluate neighbor behaviors using outlier-robust loss functions and historical information,…
Idioma do texto original: inglês
Two-site cavity method for analyzing large nonlinear recurrent neural networks. Derives linear equivalence of nonlinear RNNs, computes full covariance matrices for specific quenched realizations, and separates Gaussian from non-Gaussian contributions in…
Idioma do texto original: inglês
Extended Sompolinsky-Crisanti-Sommers (SCS) theory for two-population Excitatory-Inhibitory networks with target-specific inhibition. DMFT derivation of phase diagrams showing quiescence, asynchronous chaos, persistent activity, structured chaos, and coherent…
Idioma do texto original: inglês
Link microscopic chaos in recurrent neural networks to macroscopic geometry of neural representations using kernel methods and dynamical mean-field theory. Chaotic dynamics act as intrinsic regularizer enhancing generalization while preserving expressivity.
Idioma do texto original: inglês
CLANE - 在神经形态硬件（Intel Loihi 2）上从事件相机实现动作的持续学习。首个端到端部署的神经形态持续学习系统，结合脉冲 2D CNN 和 CLP-SNN 学习头，实现 100x 能量降低和 16x 延迟降低。
Idioma do texto original: chinês
Token optimization methodology for CLI coding agents (Claude Code, OpenCode, Gemini CLI, Codex). Reduces overhead 70%→35%, effectively 2-3x capacity increase. Covers CLAUDE.md bloat, session history, plugin hooks, cache expiry, skill/MCP overload, extended…
Idioma do texto original: inglês
Coding agents in social sciences research methodology — using AI coding agents to automate data analysis, simulation, and empirical research in economics, political science, and sociology. Covers reproducibility, agent reliability, and domain-specific…
Idioma do texto original: inglês
Complex-Valued Kuramoto Networks control framework - unified control-theoretic approach for synchronization in coupled oscillator networks via complex state space embedding. Activation: Kuramoto, coupled oscillators, synchronization control, phase dynamics,…
Idioma do texto original: inglês
Cross-species computational modeling of the auditory periphery using 1-D nonlinear cochlear transmission-line models adapted across human, mouse, and gerbil. Covers species-specific anatomical/physiological parameterization, BM mechanics, OHC deficits, and…
Idioma do texto original: inglês
Causal framework for studying multilingual brain-model alignment using targeted "computational lesions" in multilingual LLMs. Zero out parameters to separate shared vs language-specific brain processing. Use when: multilingual LLM analysis, brain-model…
Idioma do texto original: inglês
多语言语言模型计算性损伤方法论。通过因果干预分离共享和语言特异性脑对齐模式，揭示语言理解的神经基础。适用于多语言神经科学、语言模型解释性、跨语言脑对齐。触发词：计算损伤、多语言、脑对齐、因果干预、共享表征。
Idioma do texto original: chinês
Concept-Reasoning Expansion (CoRE) methodology for continual learning in medical imaging. Maps image tokens to structured concept libraries, simulating clinical reasoning to guide interpretable expert routing and demand-based model growth. Prevents…
Idioma do texto original: inglês
Critical analysis of current agentic memory systems showing they implement lookup, not true memory. Argues treating lookup as memory is a category error with consequences for agent capability, long-term learning, and security. Distinguishes…
Idioma do texto original: inglês
Convex Hybrid Modeling methodology using operator theory for process control and systems engineering. Formulates convex learning problems that combine model interpretability with system identification efficiency. Covers three settings: (1) regularization…
Idioma do texto original: inglês
CORNN凸优化递归神经网络方法论。将RNN训练转化为凸优化问题，训练速度比传统方法快100倍，支持百万参数RNN在标准计算机上亚分钟级训练。适用于大规模神经记录实时建模、神经动力学推断、吸引子结构恢复。触发词：RNN训练、凸优化、神经动力学、实时建模、数据约束RNN、convex optimization、recurrent neural network、neural dynamics inference。
Idioma do texto original: chinês
Simulation-based reverse engineering methodology for analyzing how cortical microcircuits optimize information flux (mutual information between successive network states). Use when: (1) studying information-theoretic properties of recurrent neural circuits,…
Idioma do texto original: inglês
Simulation-based reverse engineering study of cortical microcircuit information flux. Analyzes whether cortical microcircuits are optimized for information flux in recurrent networks. Use when: studying cortical circuit optimization, information theory in…
Idioma do texto original: inglês
Cortico-cerebellar modularity as an architectural inductive bias for efficient temporal learning — CB-RNN architecture showing cerebellar-inspired feedforward modules drive learning efficiency while cortical recurrent cores act as fixed reservoirs.
Idioma do texto original: inglês
Cortico-cerebellar modular RNN architecture methodology. Augments RNNs with cerebellar-inspired feedforward modules for efficient temporal learning. The cortical RNN acts as a fixed reservoir while the cerebellar module drives learning efficiency. Applicable…
Idioma do texto original: inglês
曲率感知的非凸优化方法论。核心思想：将二阶几何信息（曲率/海森矩阵特征值）显式纳入优化目标或约束，帮助逃逸鞍点、加速收敛。触发词：非凸优化、鞍点逃逸、曲率感知、CRGD、信赖域、二阶方法、Hessian-aware、escape saddle point、non-convex optimization。
Idioma do texto original: chinês
Methodology for auditing and distilling deep reinforcement learning hedging policies into interpretable symbolic formulas. Includes framework for analyzing delta corrections relative to Black-Scholes, symbolic regression distillation, and regime fragility…
Idioma do texto original: inglês
DeferMem methodology from arXiv:2605.22411 (May 2026). Long-term memory QA framework using query-time evidence distillation via RL (DistillPO): high-recall candidate retrieval + query-conditioned evidence rewriting with decomposed-and-gated reward. Use when:…
Idioma do texto original: inglês
DAOEF framework for scaling multi-agent edge systems beyond 100 agents without synergistic collapse. Three co-designed mechanisms: differential neural caching (delta-aware activation reuse), criticality-based action space pruning (O(n log n) coordination),…
Idioma do texto original: inglês
Stochastic Density-Driven Optimal Control (D²OC) for multi-agent systems. A rigorous Lagrangian framework for decentralized non-uniform area coverage using Wasserstein distance minimization. Use for: multi-agent coverage control, swarm robotics, distributed…
Idioma do texto original: inglês
Stochastic Density-Driven Optimal Control (D²OC) for multi-agent systems. Decentralized non-uniform area coverage using Wasserstein distance minimization with convergence guarantees for stochastic LTI dynamics. Activation: density-driven control, multi-agent…
Idioma do texto original: chinês
Digital twin-based consensus control for multi-agent cyber-physical systems under noisy perception and input failures. Combines digital twin modeling with lag consensus protocols for robust distributed coordination. Use when: (1) Designing multi-agent CPS…
Idioma do texto original: inglês
Framework for understanding when architectural modularity matters in continual learning based on representational dimensionality. Shows that modular networks only outperform monolithic ones in low-dimensional regimes where representational geometry is…
Idioma do texto original: inglês
Discounted MPC under plant-model mismatch - stability and suboptimality analysis for infinite-horizon optimal control with surrogate models. Activation: MPC, model predictive control, plant-model mismatch, robustness, stability, discounted control.
Idioma do texto original: chinês
Discrete signaling mediates chaotic regularization in recurrent neural networks - linking microscopic chaos to macroscopic neural representation geometry
Idioma do texto original: inglês
Product-of-Experts (PoE) defense against adaptive distillation attacks — a minimax game framework between a utility-constrained teacher and an adaptive student that reweights high-value examples. PoE is a simple forward-pass-only defense combining teacher…
Idioma do texto original: inglês
Distributed AI agent orchestration methodology for large-scale multi-agent systems. Covers architecture patterns for orchestrated multi-agent collaboration, distributed training infrastructure for agentic AI, and agentic federated learning frameworks. Use…
Idioma do texto original: inglês
DoLQ: Discovering Ordinary Differential Equations with LLM-based qualitative and quantitative evaluation. Multi-agent architecture for symbolic regression of governing ODEs from data. Sampler Agent proposes candidates, Parameter Optimizer refines equations,…
Idioma do texto original: inglês
LLM-based Design Structure Matrix (DSM) modularization methodology. Use when partitioning complex systems into cohesive modules, optimizing system architecture, or applying LLMs to combinatorial engineering problems. Activation triggers: DSM, design structure…
Idioma do texto original: inglês
Dynamic Gradient Gating (DGG) methodology for sample-efficient RLVR - monitoring lm_head gradient norm to detect harmful policy shift and intercept gradients before corruption
Idioma do texto original: inglês
EARLY (Evolutionary Algorithm for Reservoir Learning and Yielding) - evolutionary framework for discovering multi-reservoir ESN architectures. Graph-based genomes encode modular ESN topologies, evolves both structure and hyperparameters. Outperforms random…
Idioma do texto original: inglês
Economy of Minds - Multi-agent intelligence emerging from economic interactions (auctions, payments, wealth accumulation). Decentralized self-orchestration without explicit communication protocols. Inspired by Hayek's economic theory. Activation: multi-agent…
Idioma do texto original: inglês