Menü
Skills in diesem Repository
SkillsMP hat 4.114 Skills aus hiyenwong/ai_collection gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
hiyenwong/ai_collectionEs werden 40 von 4.114 gesammelten Skills angezeigt.
AUTOPILOT VQA: Benchmarking Vision-Language Models for Incident-Centric Dashcam Understanding. Recent advances in Vision-Language Models, Large Language Models, and Multimodal Large Language Models have improved autonomous driving tasks such as scene…
Quellsprache: Englisch
DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation. Building general-purpose dexterous manipulation policies requires benchmarks that go beyond isolated tasks to systematically evaluate policies across diverse interaction…
Quellsprache: Englisch
SpikeProphecy: First large-scale benchmark for causal, autoregressive neural population spike-count forecasting. Introduces population metric decomposition (temporal fidelity, spatial pattern accuracy, magnitude-invariant alignment) on 105 Neuropixels…
Quellsprache: Englisch
Methodology for trading inference-time compute to improve adversarial robustness in LLMs through repeated sampling and output filtering.
Quellsprache: Englisch
JGRA framework for assessing robustness in NISQ noise-aware Quantum Neural Networks via Jacobian geometry. Captures model sensitivity to parameter perturbations induced by noise through entropy-matched noise calibration, noise-aware training, and…
Quellsprache: Englisch
Space-efficient streaming attention approximation using tight bounds for KV cache compression in transformer architectures.
Quellsprache: Englisch
Zero-shot imagined speech decoding from MEG via imagined-to-listened cross-condition mapping. Trains models to map imagined MEG responses to listened responses, then decodes using listened-only decoder. Three-stage pipeline: (1) mapping imagined→listened MEG,…
Quellsprache: Englisch
Reinforcement learning framework for neural model editing where agents learn to modify models via reward feedback instead of manually engineered algorithms
Quellsprache: Englisch
Analog Quantum Asynchronous Event-Based Graph Neural Network (QA-AEGNN) — implementing event-based GNNs on neutral-atom quantum processors via Rydberg Hamiltonian programming. Maps streaming event data to trapped atom arrays where geometric proximity reflects…
Quellsprache: Englisch
BBGKY-ISM quantum error mitigation using Feynman's clock Hamiltonian with polynomial overhead (arXiv: 2607.06752)
Quellsprache: Englisch
Quantum randomness certification framework using measurement incompatibility witnesses — bounds classical eavesdropper capabilities via semi-definite programming using generalised robustness as a geometric incompatibility measure. Use when certifying quantum…
Quellsprache: Englisch
Operator Kirigami methodology for symmetry conservation in quantum algorithms — cut-and-fold technique for preserving non-Abelian symmetries in Trotterized quantum circuits by orthogonal projection and unitary rotation folding.
Quellsprache: Englisch
Parameter-efficient Quantum Multi-task Learning (QMTL) methodology. Replaces conventional task-specific linear heads with fully quantum prediction heads in hybrid architectures. Quantum head parameters scale linearly with task count vs quadratic for classical…
Quellsprache: Englisch
Quantum error detecting codes using Pauli group variance geometry — going beyond stabilizer codes via algebraic structure of Pauli operators. Covers variance-based code construction, Pauli weight distribution analysis, higher-than-stabilizer detection rates,…
Quellsprache: Englisch
Penalty-free quantum annealer pipeline for portfolio optimization. Removes cardinality penalty from QUBO to reduce chain-break fractions from 92% to 0.04%, enforces feasibility classically post-sampling. Based on arXiv:2605.17628.
Quellsprache: Englisch
Bottom-up engineering methodology for non-Abelian topological order using Floquet-engineered synthetic magnetic fields and Bayesian-optimized adiabatic state preparation.
Quellsprache: Englisch
Phase model analysis methodology for M-current effects on neural synchronization in hippocampal networks - theoretical framework for understanding neuromodulatory control of synchrony
Quellsprache: Englisch
Phase-reference control methodology for generating steady-state entanglement in open quantum systems using phase-sensitive reservoirs and local dissipation. Activation: steady-state entanglement, phase-sensitive reservoir, open quantum systems, Gaussian…
Quellsprache: Englisch
Algorithmic advantage of gate-based photonic quantum neural networks over classical ANNs. Use when comparing QNN vs ANN performance, evaluating quantum neural network expressivity via effective dimension, designing photonic quantum classifiers, or analyzing…
Quellsprache: Englisch
Physics-aligned real-to-sim-to-real data engine for deformable object manipulation. SIM1 grounds simulation in physical world through metric-consistent digital twins, elastic dynamics calibration, and diffusion-based trajectory generation. Use for: deformable…
Quellsprache: Chinesisch
Physics-guided and physics-informed quantum machine learning methodologies — embedding physical priors (symmetries, conservation laws, Hamiltonians) into VQCs, QNNs, and quantum classifiers for improved accuracy, trainability, and physical consistency
Quellsprache: Englisch
Physics-informed LLM framework (VF-QCTRL) for general quantum control synthesis combining symbolic reasoning with optimization. Proposes analytic control ansätze and refines parameters through feedback loops. Use when designing LLM-driven quantum control,…
Quellsprache: Englisch
Neuro-fuzzy framework for quantum error attribution using physics-informed machine learning. Combines ANFIS with physics-grounded features (Bhattacharyya Veto, Data Processing Inequality) to distinguish software bugs from hardware noise in quantum processors.…
Quellsprache: Englisch
Use Physics-Informed Neural Networks (PINNs) for quantum pulse optimization and noise-aware gate fidelity. Specifically for optimizing quantum control pulses in exchange-only spin qubit systems, handling charge noise, and maximizing gate-level fidelity…
Quellsprache: Englisch
Scalable distributed quantum computing architecture using photonic integration of designed molecular quantum nodes. Combines solid-state spin defects in diamond (NV/SiV centers) with nanophotonic waveguide networks for entanglement distribution. Applies…
Quellsprache: Englisch
Hardware-aware design platform for fault-tolerant quantum computers (FTQCs). Computes logical performance from device physics using Kraus operators, Hamiltonian-Lindblad dynamics, and quantum channels across four sampler classes.
Quellsprache: Englisch
Point-group symmetry analysis of many-electron wavefunctions on quantum computers. Ancilla-free hybrid method for abelian and non-abelian groups using orbital rotations from representation matrix eigenvectors, tensor-network encoding, and error mitigation for…
Quellsprache: Englisch
Post-quantum cryptographic analysis of network protocol stacks and message transformations. Evaluates security of cryptographic operations across multiple protocol layers against quantum attacks. Use when: (1) analyzing protocol stack security, (2) evaluating…
Quellsprache: Englisch
Post-Quantum Cryptography (PQC) migration framework for IoT-based healthcare systems. Provides systematic approach for transitioning healthcare infrastructure from classical to post-quantum cryptographic standards (NIST ML-KEM, ML-DSA) while maintaining…
Quellsprache: Englisch
NIST-standard PQC migration (ML-KEM + ML-DSA) for pharmacovigilance and healthcare data systems. Use when designing post-quantum security for adverse event reporting, clinical observation systems, or any healthcare pipeline handling sensitive patient data…
Quellsprache: Englisch
A型钾电流介导的神经元增益控制机制。研究IA作为减法抑制与除法抑制之间的开关，通过动力学系统分析理解神经元如何自调节抑制效果。适用于计算神经科学、神经元建模、增益控制研究。触发词：A型钾电流、增益控制、抑制模式、IA电流、神经元增益、divisive inhibition、subtractive inhibition、gain control、potassium current。
Quellsprache: Mehrsprachig
Scenario-based optimization framework for predictive maintenance scheduling under uncertainty. Integrates calendar-based, usage-based, and condition-monitoring (RUL) information into unified finite-horizon decision framework. Use when: (1) optimizing…
Quellsprache: Englisch
Cohomological structure analysis of prime numbers using iterative maps, linking prime irregularities to physical systems including statistical mechanics and quantum mechanics.
Quellsprache: Englisch
Cohomological structure analysis methodology for prime numbers — iterative maps predicting prime growth, cohomological equation solutions, and connections between statistical mechanics, quantum mechanics, and number theory. The logarithmic integral function…
Quellsprache: Englisch
PRISM (Probabilistic Recurrent Intention Switching Model) methodology for multi-intention inverse reinforcement learning. Uses lightweight recurrent networks for intention switching with closed-form EM solution. Activation: 多意图 IRL, intention switching,…
Quellsprache: Englisch
Progressive Swapping to the Middle (PSM) protocol methodology for efficient entanglement distribution in quantum networks with imperfect quantum memories. Combines nested entanglement swapping with memory-aware scheduling. Use when designing quantum network…
Quellsprache: Englisch
前瞻编码与路径整合的自组织神经网络框架。揭示连续吸引子网络(CANNs)如何通过赫布塑性、发放率适应和全局抑制自组织形成，实现前瞻性编码和路径整合功能。
Quellsprache: Englisch
精神病早期阶段脑动力学临界性scaling偏差研究方法论。结合重整化群(RG)框架与多种scaling分析方法，揭示临界 regime内的动力学重组而非临界性丧失。
Quellsprache: Chinesisch
Q-BIOLAT: Binary latent protein fitness landscapes for quantum annealing optimization. Maps protein sequences to binary latent spaces via pretrained protein language models, then uses quantum annealing (D-Wave) for fitness landscape exploration and protein…
Quellsprache: Englisch
Q-PhotoNAS: Hybrid Quantum Neural Architecture Search framework for photonic quantum-classical models using genetic algorithm and learnable phase encoding
Quellsprache: Englisch