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Research, evidence gathering, literature, reports, investigation, and synthesis
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- Sleep Replay Acceleration Sharp**Problem**: Standard sequence models (RNN, Transformers) struggle with long-range non-stationary temporal patterns in strict streaming settings due to: - Truncated backpropagation through time horizon - Explicit input window length constraints - Inability to process sequentially without revisiting past observationsVotes: 0GitHub stars: 3
- Singularity Free Invariant ControlSingularity-free dynamical invariants-based quantum control for finite-dimensional state preparation under arbitrary noise. Use when designing invariant-based quantum control protocols, robust state preparation for NISQ hardware, non-Markovian open quantum systems, SU(2) subspace control, or noise-aware control synthesis.Votes: 0GitHub stars: 3
- Silif Dbs Neuromorphic ControllerNeuromorphic silicon neuron controller (SiLIF-DBS) for adaptive deep brain stimulation in Parkinson's Disease — CMOS-implemented closed-loop aDBS achieving 75% power reduction with beta-band biomarker tracking.Votes: 0GitHub stars: 3
- Sensitivity And Generalization In Neural Networks An Empirical Study**arXiv ID:** 1802.08760 **Authors:** Roman Novak, Yasaman Bahri, Daniel A. Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein **Published:** 2018-02-23T23:11:07Z **Abstract:** In practice it is often found that large over-parameterized neural networks generalize better than their smaller counterparts, an observation that appears to conflict with classical notions of function complexity, which typically favor smaller models. In this work, we investigate this tension between complexity and ge...Votes: 0GitHub stars: 3
- Semi Device Independent Nlwe CertificationSemi-device-independent certification methodology for nonlocality without entanglement (NLWE) using maximum-confidence discrimination of separable state ensembles.Votes: 0GitHub stars: 3
- Semantic Least Energy Principle IntelligenceThe Semantic Least-Energy Principle (SLEP) hypothesis that intelligent systems evolve internal representations by maximizing semantic utility while minimizing semantic, predictive, and computational energy.Votes: 0GitHub stars: 3
- Scikit Covtest Covariance Hypothesis Testingscikit-covtest Python package for covariance matrix hypothesis testing across four categories: identity, sphericity, proportionality, and two-sample equality. Provides SciPy-style API for statistical testing of covariance structures in neuroscience, finance, machine learning, and genetics applications including brain connectivity inference, dimensionality reduction, and risk estimation.Votes: 0GitHub stars: 3
- Sbs Self Organization Complex SystemsSurviving by Serving (SBS) principle for self-organization in complex adaptive systems. Components persist when outputs are utilized; non-utilization triggers adaptation. Emergence of functional networks without centralized control.Votes: 0GitHub stars: 3
- Sbb CodesSubsystem Bivariate Bicycle (SBB) codes methodology for quantum error correction. Reduces high-rate BB code stabilizer checks from weight-6+ to local weight-4 gauge measurements via CSS subsystem construction. Use when: (1) designing qLDPC codes with low-weight syndrome extraction, (2) implementing BB codes on hardware with limited connectivity, (3) analyzing topological properties of subsystem codes, (4) constructing finite-depth Clifford circuits for gauge qubit decoupling. Activation: sbb ...Votes: 0GitHub stars: 3
- Safe Quantum MlSAFE Quantum Machine Learning methodology — variational quantum classifiers with amplitude encoding, learnable classical pre-encoding, and SAFE-AI reliability metrics (Cramer-von-Mises-based accuracy/robustness/explainability evaluation). For designing safety-critical quantum ML models.Votes: 0GitHub stars: 3
- Rosetta Stone Other Minds InferenceFramework for principled inference to other minds using structural approaches (Qualia Structure Paradigm and Integrated Information Theory) with Category Theory formalizationVotes: 0GitHub stars: 3
- Rl Tsch Dynamic ListeningReinforcement Learning-driven Adaptive Listening for TSCH NetworksVotes: 0GitHub stars: 3
- Rl Ion Shuttling Trapped IonReinforcement learning for ion shuttling on trapped-ion quantum computers — RL-based optimization of ion transport in modular trapped-ion chips, achieving up to 36.3% reduction in shuttling operations.Votes: 0GitHub stars: 3
- Reward Valuation Vlm AnhedoniaCausal mechanism framework for anhedonia and reward valuation deficits in Vision-Language Models — mechanistic analysis linking VLM reward processing to Nucleus Accumbens dysfunction patterns from clinical depression research.Votes: 0GitHub stars: 3
- RevealReVealVotes: 0GitHub stars: 3
- Rethinking Symbolic Regression Datasets And Benchmarks For Scientific Discovery**arXiv ID:** 2206.10540 **Authors:** Yoshitomo Matsubara, Naoya Chiba, Ryo Igarashi, Yoshitaka Ushiku **Published:** 2022-06-21T17:15:45Z **Abstract:** This paper revisits datasets and evaluation criteria for Symbolic Regression (SR), specifically focused on its potential for scientific discovery. Focused on a set of formulas used in the existing datasets based on Feynman Lectures on Physics, we recreate 120 datasets to discuss the performance of symbolic regression for scientific discovery ...Votes: 0GitHub stars: 3
- Reservoir Computing Heterogeneous Magnetic MetamaterialsReservoir Computing with Heterogeneous Magnetic Metamaterials methodology — nanomagnetic reservoir computer based on heterogeneous array of interconnected magnetic nanorings with multi-channel planar Hall effect readout for enhanced computational expressivity.Votes: 0GitHub stars: 3
- Reservoir Computation OrganizationAnalyze how information processing capacity is organized across reservoir state-space modes. Use SVD mode-task projection, degree-wise representation energy, and noise-aware capacity to design or diagnose echo-state networks and physical reservoirs.Votes: 0GitHub stars: 3
- Rescom Reconfigurable Snn Stochastic ComputingReSCom: A Reconfigurable Spiking Neural Network Accelerator Using Stochastic Computing. Neuromorphic hardware architecture for energy-efficient SNN inference with runtime accuracy-latency-energy trade-offs.Votes: 0GitHub stars: 3
- Rescom Reconfigurable Snn AcceleratorReSCom可重构脉冲神经网络加速器，使用随机计算降低硬件复杂度。核心创新：乘法用随机算术，加法用精确定点，统一架构支持IF/LIF/Synaptic模型，运行时可权衡精度/延迟/能耗。MNIST上92.80%准确率，0.05mJ/image能效超越SOTA。触发词：可重构SNN加速器、随机计算SNN、神经形态FPGA、ReSCom。Votes: 0GitHub stars: 3
- Remember Me Refine Me ProceduralRemember Me, Refine Me - Procedural MemoryVotes: 0GitHub stars: 3
- Reasonmaxxer Entropy Gated SelectionRL-free reasoning improvement via entropy-gated contrastive selection. Based on arXiv 2605.06241 showing RL's benefit is sparse policy selection at high-entropy decision points, not capability learning.Votes: 0GitHub stars: 3
- Qubo Hybrid Optimization SchedulingQUBO-based hybrid quantum-classical optimization methodology for coordinated scheduling problems. Formulates time-dependent operational constraints as quadratic unconstrained binary optimization, then solves with quantum annealing validated by classical simulation. Use when formulating scheduling/assignment problems for quantum optimization, building hybrid quantum-classical solvers, or modeling time-dependent constraints in QUBO form.Votes: 0GitHub stars: 3
- Quantum Tug Of War DecisionQuantum Tug-of-War (QTOW) decision making model — contextuality arises generatively from physically grounded constraints on decision dynamics. Conservation-based internal state updates and measurement-induced disturbance produce KCBS-type contextuality witnesses. Proves quantum probability is structurally necessary for adaptive decision dynamics, not merely descriptive. Use when: quantum decision making, contextuality in choices, TOW model, non-Kolmogorovian probability, adaptive learning dyn...Votes: 0GitHub stars: 3