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Research, evidence gathering, literature, reports, investigation, and synthesis
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Showing 10,633–10,656 of 21,409 skills
- What Matters For Adversarial Imitation Learning**arXiv ID:** 2106.00672 **Authors:** Manu Orsini, Anton Raichuk, Léonard Hussenot, Damien Vincent, Robert Dadashi, Sertan Girgin, Matthieu Geist, Olivier Bachem, Olivier Pietquin, Marcin Andrychowicz **Published:** 2021-06-01T17:58:08Z **Abstract:** Adversarial imitation learning has become a popular framework for imitation in continuous control. Over the years, several variations of its components were proposed to enhance the performance of the learned policies as well as the sample complex...Votes: 0GitHub stars: 3
- Weight Norm Criticality Loss SpikesWeight-norm Criticality framework for understanding loss spikes in neural network training induced by normalization and weight decay interactions. Use when analyzing training instability, criticality phenomena, or optimization dynamics in deep learning models with scale-invariant components.Votes: 0GitHub stars: 3
- Vqe Active Space Drug BenchmarkSystematic benchmark methodology for active space selection in VQE-driven quantum drug discovery pipelines. Classifies molecule suitability for quantum computing using chemically grounded metrics, evaluates VQE across UCCSD and HEA ansatze with both simulation and QPU execution on drug-like molecules (lovastatin, oseltamivir, morphine).Votes: 0GitHub stars: 3
- Vision Bottleneck V1Vision as looking and seeing through a bottleneck framework. Explains V1 as an information bottleneck that optimizes visual representation given retinal sampling constraints. Addresses why vision research progress is slower downstream than upstream of V1. Keywords: vision bottleneck, V1, primary visual cortex, information theory, visual representation, retinal sampling.Votes: 0GitHub stars: 3
- Variational Long Range EntanglingVariational quantum algorithms with sparse long-range entangling gates for neutral atoms and trapped ions (arXiv: 2607.07547)Votes: 0GitHub stars: 3
- Using Artificial Bee Colony Algorithm For Mlp Training On Earthquake Time Series Data Prediction**arXiv ID:** 1112.4628 **Authors:** Habib Shah, Rozaida Ghazali, Nazri Mohd Nawi **Published:** 2011-12-20T09:50:53Z **Abstract:** Nowadays, computer scientists have shown the interest in the study of social insect's behaviour in neural networks area for solving different combinatorial and statistical problems. Chief among these is the Artificial Bee Colony (ABC) algorithm. This paper investigates the use of ABC algorithm that simulates the intelligent foraging behaviour of a honey bee swarm...Votes: 0GitHub stars: 3
- Updated Neuron Model AnnUpdating the standard neuron model in artificial neural networks - replacing the simplistic point neuron model with more realistic cortical cell representationsVotes: 0GitHub stars: 3
- Universally Robust Quantum ControlUniversal framework for noise-agnostic quantum control of open quantum systems. Achieves high-fidelity operations (>99%) without prior environmental noise characterization. Bridges theoretical control design with experimental constraints for fault-tolerant quantum technologies. Based on Ding et al. (npj Quantum Info 12, 22, 2026).Votes: 0GitHub stars: 3
- Turn Opd Turn Level BudgetingTurnOPD methodology for efficient on-policy distillation of long-horizon agents. Uses adaptive rollout-depth budgeting and progressive turn-normalized loss to address inefficiencies in vanilla agent OPD.Votes: 0GitHub stars: 3
- Trp Narrative Comprehension EegTransition-Related Potentials (TRPs) methodology for analyzing narrative comprehension in continuous EEG recordings using deep neural networks to detect cinematic cuts and extract context-dependent brain responses.Votes: 0GitHub stars: 3
- Trophic Structure Seizure PropagationTrophic structure predicts seizure propagation.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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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