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Claude Skills by hiyenwong
github.com/hiyenwong9,934 skills5 installs19,223 views
- Synaptic Motifs Mean Field TheoryMean-field theory for heterogeneous synaptic motifs in multi-population neural networks. Bridges microscale synaptic connectivity (second-order motifs) to macroscale population dynamics. Activation: synaptic motifs, mean-field theory, heterogeneous dynamics, multi-population networks, connectomics.Votes: 0GitHub stars: 3
- Syndrome Adaptive Gain ControlSyndrome Adaptive Gain Control methodology for quantum LDPC decoding. Dynamically adjusts min-sum decoder scaling factors based on syndrome patterns to improve convergence and error correction performance. arXiv: 2605.10433 (Cordova, Balatsoukas-Stimming, Gultekin) Dynamically adjusts min-sum decoder scaling factors based on syndrome patterns to improve convergence and error correction performance. Use when: designing quantum error correction decoders, optimizing min-sum algorithms, implement...Votes: 0GitHub stars: 3
- Synergy Between Synaptic Consolidation And Experience Replay For General Continual Learning**arXiv ID:** 2206.04016 **Authors:** Fahad Sarfraz, Elahe Arani, Bahram Zonooz **Published:** 2022-06-08T17:08:56Z **Abstract:** Continual learning (CL) in the brain is facilitated by a complex set of mechanisms. This includes the interplay of multiple memory systems for consolidating information as posited by the complementary learning systems (CLS) theory and synaptic consolidation for protecting the acquired knowledge from erasure. Thus, we propose a general CL method that creates a syner...Votes: 0GitHub stars: 3
- Synpre Fl Synthetic Data Driven Pretraining IntegrSkill generated from arXiv paper 2607.19524: SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training frameworkVotes: 0GitHub stars: 3
- Sysml Driven Uav Design FrameworkSysML-driven MBSE framework for autonomous UAV design.Votes: 0GitHub stars: 3
- System Resilience Design PatternsSystem resilience and robustness design patterns - analyzing complex system stability, collapse mechanisms, control-oriented digital twins, and distributed system optimization. Activation: system resilience, robust design, complex systems, digital twin, control systems, distributed optimization.Votes: 0GitHub stars: 3
- Systematic Evaluation Trajectory Data Curation Lora Fine Tuning Code AgentsSkill derived from arXiv:2607.17205 - A Systematic Evaluation of Trajectory Data Curation for LoRA Fine-Tuning of Code AgentsVotes: 0GitHub stars: 3
- Systems Engineering Apr2026Systems engineering research synthesis covering April-May 2026 arXiv papers. April 2026 methodologies: (1) Situation-aware feedback-predictive control for autonomous vehicles, (2) Heterogeneous dual-network UAV coordination, (3) Multi-agent RL for 3D coverage, (4) Output-feedback safe control with chance constraints, (5) LLM-driven multi-agent HRI. May 2026 additions: (6) Convex hybrid modeling via operator theory, (7) SHIA SysML-hardware interface, (8) Sheaf-theoretic MBSE consistency (see r...Votes: 0GitHub stars: 3
- Tanhsoft A Family Of Activation Functions Combining Tanh And Softplus**arXiv ID:** 2009.03863 **Authors:** Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey **Published:** 2020-09-08T16:59:28Z **Abstract:** Deep learning at its core, contains functions that are composition of a linear transformation with a non-linear function known as activation function. In past few years, there is an increasing interest in construction of novel activation functions resulting in better learning. In this work, we propose a family of novel activation function...Votes: 0GitHub stars: 3
- Te Pai Classical SimulationTensor-Network Randomized Time Evolution via Parallelized Approximate Inversion (TE-PAI) for classical simulation of quantum many-body dynamics. MPS TE-PAI achieves 10^3x gate-count reduction and massive parallelization via randomized shallow Trotter-variant circuits. Keywords: tensor network, MPS, time evolution, randomized algorithms, TE-PAI, classical simulation, parallelization, Trotter, quantum many-body.Votes: 0GitHub stars: 3
- Teach CofounderSenior technical mentor skill for teaching through principles, Socratic guidance, and progressive learning.Votes: 0GitHub stars: 3
- Tech Exposure AnalysisTechnology exposure analysis methodology for measuring and forecasting how emerging technologies affect existing systems, workflows, and markets. Combines theoretical capability assessment with real-world usage data to quantify automation risk, displacement potential, and adoption patterns. Use when analyzing AI/technology impact on jobs, processes, or industries; measuring task-level automation potential; or building early-warning systems for technological disruption.Votes: 0GitHub stars: 3
- Temporal Logic ControlTemporal logic control synthesis for nonlinear stochastic systems using finite-state abstractions (IMDP). Safety-critical system control with formal guarantees. Use when designing controllers for autonomous systems, safety-critical applications, or systems requiring formal verification. Keywords: temporal logic, control synthesis, nonlinear systems, stochastic systems, safety-critical, IMDP, formal verification.Votes: 0GitHub stars: 3
- Temporal Structural Fault DiscriminationDistributed fault discrimination in microservice architectures using joint temporal-structural representation learning. Models microservice operations as dynamic graph sequences, combines temporal GNN encoding with attention-based structured message passing, and uses dual readout for system-level fault classification. Use when: building distributed system fault detection, microservice anomaly detection, temporal graph neural networks for ops, service mesh observability, distributed fault diag...Votes: 0GitHub stars: 3
- Tensile A Tensor Granularity Dynamic Gpu Memory Scheduling Method Toward Multiple Dynamic Workloads System**arXiv ID:** 2105.13336 **Authors:** Kaixin Zhang, Hongzhi Wang, Han Hu, Songling Zou, Jiye Qiu, Tongxin Li, Zhishun Wang **Published:** 2021-05-27T17:46:16Z **Abstract:** Recently, deep learning has been an area of intense research. However, as a kind of computing-intensive task, deep learning highly relies on the scale of GPU memory, which is usually prohibitive and scarce. Although some extensive works have been proposed for dynamic GPU memory management, they are hard to apply to systems...Votes: 0GitHub stars: 3
- Tensor Network Emotional MemoryClassical tensor network modeling of order-dependent emotional memory in children — quantum-inspired methods achieve 77.98% accuracy in modeling valence-influenced recognition sequences, demonstrating value of quantum-like approaches for temporal cognitive phenomena (arXiv: 2606.28470)Votes: 0GitHub stars: 3
- Tensor Network Frontend Quantum MedicalTensor-network frontend methodology for quantum-enhanced federated medical diagnosis. Combines MPS, TTN, and MERA tensor networks for client-side compression with quantum-enhanced processor (QEP) refinement for medical image classification.Votes: 0GitHub stars: 3
- Tensor Network Neurological PredictorTensor Network Feature Engineering methodology for multi-class neurological disorder prediction from MRI data. Uses tensor network decompositions to extract high-dimensional features from sparse medical imaging. Activation: tensor network MRI, neurological disorder prediction, tensor feature engineering, multi-class brain disorder, MRI tensor decomposition.Votes: 0GitHub stars: 3
- Tensor Network Quantum ElectromechanicsTensor network methodology for autonomous oscillations in quantum electromechanical systems. Combines binary vibrational mode representation with mesoscopic reservoir embeddings for steady-state access without real-time propagation.Votes: 0GitHub stars: 3
- Tensor Network Quantum FederatedPrivacy-aware federated learning combining tensor-network compression with quantum-enhanced processing for medical diagnosis. Use when building multi-institutional medical AI systems that need: (1) MPC-secured aggregation, (2) small-qubit quantum processing on compressed features, (3) tensor-network frontends (MPS/TTN/MERA). Addresses the dual challenge of communication overhead and qubit limitations.Votes: 0GitHub stars: 3
- Tensor Network Readout MitigationTensor network (MPO) framework for characterizing and mitigating correlated readout errors in quantum processors. Use when modeling readout noise beyond uncorrelated approximations, estimating nonlocal observables with correlated measurement errors, or integrating readout mitigation with quantum error correction decoders. Triggers: tensor network readout, MPO readout error, correlated measurement error, readout mitigation, matrix product operator calibration, classical shadows readout, noise-...Votes: 0GitHub stars: 3
- Terminal Curl Arxiv Security BlockTerminal curl to arXiv API blocked by security scanner (exit -1) — new failure mode 2026-06-02. Different from plain HTTP or pipe-to-interpreter blocks. Workaround: browser_navigate. Activation: terminal curl blocked, arxiv security block, curl exit -1, arxiv api blocked.Votes: 0GitHub stars: 3
- Tf Grid States QecTime-frequency grid state methodology for reconstructing and correcting channel-induced distortion in entangled photons. Uses TF grid states as intrinsic frequency-domain references to detect and correct JSI distortions via Gaussian process regression. Enables reliable quantum state characterization under unknown perturbations. Activation: time-frequency grid, quantum state reconstruction, channel distortion, entangled photons, JSI correction, Gaussian process, quantum error correction, frequ...Votes: 0GitHub stars: 3
- The Platonic Representation Hypothesis**arXiv ID:** 2405.07987 **Authors:** Minyoung Huh, Brian Cheung, Tongzhou Wang, Phillip Isola **Published:** 2024-05-13T17:58:30Z **Abstract:** We argue that representations in AI models, particularly deep networks, are converging. First, we survey many examples of convergence in the literature: over time and across multiple domains, the ways by which different neural networks represent data are becoming more aligned. Next, we demonstrate convergence across data modalities: as vision models ...Votes: 0GitHub stars: 3
- The Relationship Between Biological And Artificial Intelligence**arXiv ID:** 1905.00547 **Authors:** George Cevora **Published:** 2019-05-01T13:41:35Z **Abstract:** Intelligence can be defined as a predominantly human ability to accomplish tasks that are generally hard for computers and animals. Artificial Intelligence [AI] is a field attempting to accomplish such tasks with computers. AI is becoming increasingly widespread, as are claims of its relationship with Biological Intelligence. Often these claims are made to imply higher chances of a given tech...Votes: 0GitHub stars: 3
- The World Model Remembers The Actor Forgets DreamSkill generated from arXiv paper 2607.19749: The World Model Remembers, the Actor Forgets: Dream Rehearsal for Continual Model-Based RLVotes: 0GitHub stars: 3
- Thermocoherent Cognitive DynamicsThermocoherent framework for modeling information flow in neural matter. Heat flow couples to delocalized information flow carried by shared coherence. Use when: thermocoherent effects in neural systems, quantum cognition physical basis, relational resources in neural tissue (entanglement, discord, classical correlations), Mpemba-type thermal relaxation in cognition, cross-scale neural coordination, arXiv:2604.04069, quantum information flow in neural matter.Votes: 0GitHub stars: 3
- Thermodynamics Quantum Reservoir ComputingNon-equilibrium thermodynamic framework for quantum reservoir computing - links predictive performance to energetic costs via Holevo capacities and quantum informational dissipationVotes: 0GitHub stars: 3
- Think Short Defer Smart Act And Repeat CalibratedThink Short, Defer Smart, Act, and Repeat: Calibrated Reasoning and Uncertainty-Aware Deferral for EVotes: 0GitHub stars: 3
- Thoughtseeds Dual Process MeditationA computational phenomenology framework for modeling focused-attention meditation using dual-process active inference and hierarchical Markov-blanket architecture. Use when modeling meditation states, attentional dynamics, or cognitive phenomenology with latent mental content representations.Votes: 0GitHub stars: 3
- Tile Code Planar ArchitecturesStrictly local tile-code architectures for quantum error correction on 2D planar lattices. Tile codes are planar qLDPC codes with weight-6 stabilizers and open boundary conditions, offering up to 4x encoding efficiency vs. surface code. Uses SWAP-based routing schemes for syndrome extraction with nearest-neighbor interactions only, matching surface code connectivity. Activation: tile code architecture, planar qLDPC codes, SWAP routing syndrome extraction, quantum error correction architecture...Votes: 0GitHub stars: 3
- Tool Integrated Reasoning RecipeFull-pipeline recipe for injecting tool-use into thinking models without sacrificing text-only reasoning. Two-stage SFT+RL approach. Based on arXiv 2605.06326.Votes: 0GitHub stars: 3
- Topographic Vaes Learn Equivariant Capsules**arXiv ID:** 2109.01394 **Authors:** T. Anderson Keller, Max Welling **Published:** 2021-09-03T09:25:57Z **Abstract:** In this work we seek to bridge the concepts of topographic organization and equivariance in neural networks. To accomplish this, we introduce the Topographic VAE: a novel method for efficiently training deep generative models with topographically organized latent variables. We show that such a model indeed learns to organize its activations according to salient characteristi...Votes: 0GitHub stars: 3
- Topological Fault Detection QuantumTopological Engine Monitor (TEM) methodology for non-invasive fault detection in quantum systems. Uses persistent homology and time-delay embeddings from weak measurements to diagnose control failures. Robust across diverse noise profiles. Activation: topological fault detection, quantum engine monitoring, persistent homology quantum, TEM monitoring.Votes: 0GitHub stars: 3
- Topological Grid Cell Decoding CodesTopological decoding of grid cell activity via path lifting to covering spaces. Uses TDA to extract toroidal coordinates from grid cell populations and reconstructs spatial trajectories from a single module without training data or external position info. Activation: grid cells, topological data analysis, toroidal manifold, path lifting, spatial navigation, neural manifolds, continuous attractor network, entorhinal cortex, path integration, covering spaceVotes: 0GitHub stars: 3
- Topological Quantum ComputingDesign quantum computing systems using topological structures. Apply 3-manifold topology, surface topology, and knotted quantum states for information protection. Activation: topological quantum, topology quantum computing, 拓扑量子计算, 量子拓扑, topological qubit, anyon braiding.Votes: 0GitHub stars: 3
- Toward Anthropomorphic Dialogue A Closed Loop FramDerived from arXiv:2607.17191 - Toward Anthropomorphic Dialogue: A Closed-Loop Framework for Human-Like Chat Generation, Evaluation, and Preference AlignmentVotes: 0GitHub stars: 3
- Toward Anthropomorphic Dialogue Closed Loop Framework Human Like Chat Generation EvaluationSkill derived from arXiv:2607.17191 - Toward Anthropomorphic Dialogue: A Closed-Loop Framework for Human-Like Chat Generation, Evaluation,Votes: 0GitHub stars: 3
- Toward Practical Equilibrium Propagation Braininspired Recurrent Neural Network With Feedback Regulation And Residual Connections**arXiv ID:** 2508.11659 **Authors:** Zhuo Liu, Tao Chen **Published:** 2025-08-05T15:07:50Z **Abstract:** Brain-like intelligent systems need brain-like learning methods. Equilibrium Propagation (EP) is a biologically plausible learning framework with strong potential for brain-inspired computing hardware. However, existing im-plementations of EP suffer from instability and prohibi-tively high computational costs. Inspired by the structure and dynamics of the brain, we propose a biologically...Votes: 0GitHub stars: 3
- Towards Machine Intelligence**arXiv ID:** 1603.08262 **Authors:** Kamil Rocki **Published:** 2016-03-27T22:01:59Z **Abstract:** There exists a theory of a single general-purpose learning algorithm which could explain the principles of its operation. This theory assumes that the brain has some initial rough architecture, a small library of simple innate circuits which are prewired at birth and proposes that all significant mental algorithms can be learned. Given current understanding and observations, this paper reviews ...Votes: 0GitHub stars: 3
- Towards Self Evolving Agents A Human Inspired AdapDerived from arXiv:2607.11913 - Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network ProgrammingVotes: 0GitHub stars: 3
- Trainability Iqp Born MachinesIQP Quantum Circuit Born Machines trainability analysis under Gaussian initialization. Uses Stein's lemma and Lipschitz concentration bounds to derive analytical lower bounds on gradient variance and probabilistic concentration bounds for barren plateau avoidance in QCBMs. Activation: IQP circuit, Born machine, QCBM trainability, barren plateau, gradient concentration, Gaussian initialization, quantum generative model, MMD loss, Stein's lemma, Lipschitz bound, quantum machine learningVotes: 0GitHub stars: 3
- Training Continuous Chain Thought Models Tale Two RegimesSkill derived from arXiv:2607.16972 - Training Continuous Chain of Thought Models: A Tale of Two RegimesVotes: 0GitHub stars: 3
- Trajectory Based Controlled InvariantsCompute controlled invariant sets for linear discrete-time systems using trajectory-based approach with convex feasible points. Use for MPC design, control invariant set computation, feasibility guarantees, and discrete-time system analysis. Keywords: controlled invariant, MPC, trajectory-based, convex feasible points, discrete-time systems, recursive feasibility.Votes: 0GitHub stars: 3
- Transformation Response Quantum FrameworkOperational reformulation of quantum mechanics via transformation-response framework. A quantum state is the catalog of responses to all physical transformations, characterized by a positive-definite characteristic function on the local group. From this single postulate, derive Hilbert space (GNS), Born rule (Bochner), Schrödinger equation, and Feynman path integral. Use when analyzing quantum foundations, operational quantum theory, group-theoretic quantum mechanics, or deriving quantum form...Votes: 0GitHub stars: 3
- Transient Synapse Activity RegenSkill for understanding and applying the Latent Excitable Recruitment (LER) framework from arXiv:2607.14000, which predicts activity regeneration in neuronal networks based on transient synaptic memory.Votes: 0GitHub stars: 3
- Transient Synaptic Memory Activity Regeneration--- name: transient-synaptic-memory-activity-regeneration description: Skill for understanding and applying the transient synaptic memory framework for activity regeneration in neuronal networks, based on arXiv:2607.14000. tags: [neuroscience, brain network, neural dynamics, spiking neural network, computational neuroscience, transient synaptic memory, activity regeneration] related_skills: [] content: | # Activity Regeneration from Silent States in Neuronal Networks with Transient Synaptic MeVotes: 0GitHub stars: 3
- Transition Related Potentials Narrative Comprehension EegTransition-Related Potentials (TRPs) as markers of narrative comprehension in continuous EEG using deep neural networks for semi-automated analysis of naturalistic brain responses to cinematic transitions.Votes: 0GitHub stars: 3
- Triage Role Typed Credit AssignmentRole-typed credit assignment framework for agentic reinforcement learning that addresses outcome-only credit blind spotsVotes: 0GitHub stars: 3
- Tribe V2 Multimodal Brain FoundationTRIBE v2 tri-modal foundation model methodology for in-situ fMRI brain-to-image decoding with synthetic data augmentation. Pretrained on 1000+ hours of video/audio/language fMRI responses, enables 68% Top-10 image-retrieval improvement and zero-shot decoding in low-data regimes.Votes: 0GitHub stars: 3