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Claude Skills by hiyenwong
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- Arxiv 2508 11659 Toward Practical Equilibrium Propagation Brain InsToward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections (arXiv: 2508.11659)Votes: 0GitHub stars: 3
- Arxiv 2509 19351 The Impact Of Structural Changes On Learning CapacThe Impact of Structural Changes on Learning Capacity in the Fly Olfactory Neural Circuit (arXiv: 2509.19351)Votes: 0GitHub stars: 3
- Arxiv 2510 03306 Atlas Free Brain Network TransformerAtlas-free Brain Network Transformer (arXiv: 2510.03306)Votes: 0GitHub stars: 3
- Arxiv 2510 22021 Worst Case Distance Aware Error Bounds For NeuralWorst-Case Distance-Aware Error Bounds for Neural Networks (arXiv: 2510.22021)Votes: 0GitHub stars: 3
- Arxiv 2602 15649 Continuous Time Piecewise Linear Recurrent NeuralContinuous-Time Piecewise-Linear Recurrent Neural Networks (arXiv: 2602.15649)Votes: 0GitHub stars: 3
- Arxiv 2605 04568 Dream Mpc Gradient Based Model Predictive ControlDream-MPC: Gradient-Based Model Predictive Control with Latent Imagination (arXiv: 2605.04568)Votes: 0GitHub stars: 3
- Arxiv 2607 10923 Infrared Organization And Critical Cognitive FieldInfrared Organization and Critical Cognitive Field Formation in Transformer Dynamics (arXiv: 2607.10923)Votes: 0GitHub stars: 3
- Arxiv 2607 17602 Exploring Brain NetworksExploring Brain Networks Using Noninvasive Electrophysiological Measurements: Methods and ApplicationsVotes: 0GitHub stars: 3
- Arxiv 2607 18923 Visual Semantic Decoding EcogEnd-to-end deep learning framework for decoding visual semantic categories from ECoG signals during video stimulus presentation.Votes: 0GitHub stars: 3
- Arxiv 2608 04663 Calibrating Artificial Guilt Neurally Grounded RewCalibrating Artificial Guilt: Neurally Grounded Reward Shaping for Prosocial Multi-Agent Reinforceme (arXiv: 2608.04663)Votes: 0GitHub stars: 3
- Arxiv 2608 04776 Nsf Hrpt Neural Semantic Field Meets HierarchicalNSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario (arXiv: 2608.04776)Votes: 0GitHub stars: 3
- Arxiv 2608 05166 Conditional Cognitive Biases In Llms How Biased UsConditional Cognitive Biases in LLMs: How Biased User Turns Modulate In-Context Reasoning (arXiv: 2608.05166)Votes: 0GitHub stars: 3
- Arxiv 2608 05170 Dream Llm Based Dynamic Role Playing Via Event AwaDREAM: LLM-based Dynamic Role-playing via Event-Aware Memory Graph (arXiv: 2608.05170)Votes: 0GitHub stars: 3
- Arxiv 2608 05224 Small Foundation Models Of Human Cognition And BehSmall Foundation Models of Human Cognition and Behaviour (arXiv: 2608.05224)Votes: 0GitHub stars: 3
- Arxiv 2608 05233 Coherence Oriented Dream Scene VisualisationCoherence-Oriented Dream Scene Visualisation (arXiv: 2608.05233)Votes: 0GitHub stars: 3
- Arxiv 2608 05464v1 Effective Pruning Of Task Trained Recurrent NeuralEffective pruning of task-trained recurrent neural networks using noisy fluctuations and connection rescaling (arXiv: 2608.05464v1)Votes: 0GitHub stars: 3
- Arxiv 2608 05548 Behavioral Residualization For Unsupervised IntrusBehavioral Residualization for Unsupervised Intrusion Detection in Automotive CAN Networks (arXiv: 2608.05548)Votes: 0GitHub stars: 3
- Arxiv 2608 05548v1 Behavioral Residualization For Unsupervised Intrus**arXiv ID:** 2608.05548v1 **Authors:** Chandan Hegde, Mukundh R Reddy **URL:** http://arxiv.org/abs/2608.05548v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 05595 How Much Reconstruction Does Quantum Machine LearnHow Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits (arXiv: 2608.05595)Votes: 0GitHub stars: 3
- Arxiv 2608 05595v1 How Much Reconstruction Does Quantum Machine LearnHow Much Reconstruction Does Quantum Machine Learning Need? Late Fusion of Independently Trained Quantum Subcircuits (arXiv: 2608.05595v1)Votes: 0GitHub stars: 3
- Arxiv 2608 05727 Lilac An Idempotent Neural Speech CodecLILAC: An Idempotent Neural Speech Codec (arXiv: 2608.05727)Votes: 0GitHub stars: 3
- Arxiv 2608 05727v1 Lilac An Idempotent Neural Speech CodecLILAC: An Idempotent Neural Speech Codec (arXiv: 2608.05727v1)Votes: 0GitHub stars: 3
- Arxiv 2608 05773v1 Neuro Symbolic Closed Loop Control Of Laser Powder**arXiv ID:** 2608.05773v1 **Authors:** Gisuk Hong, Jaebong Cho, Hyunbo Cho **URL:** http://arxiv.org/abs/2608.05773v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 05839 A Neural Operator View On U Nets For Inverse ImagiA neural operator view on U-Nets for inverse imaging problems (arXiv: 2608.05839)Votes: 0GitHub stars: 3
- Arxiv 2608 05839v1 A Neural Operator View On U Nets For Inverse ImagiA neural operator view on U-Nets for inverse imaging problems (arXiv: 2608.05839v1)Votes: 0GitHub stars: 3
- Arxiv 2608 05882v1 Complexity And Stability Of Neural Activity Across**arXiv ID:** 2608.05882v1 **Authors:** Junjie Yu, Jianyu Zhang, Zian Pei, Xue Shi, Yumei Liu, Xin Jiang, Quanying Liu, Yi Guo **URL:** http://arxiv.org/abs/2608.05882v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 05892 Alternating Levenberg Marquardt Training Of PhysicAlternating Levenberg-Marquardt Training of Physics-Informed Neural Networks with Fourier-Enhanced Features (arXiv: 2608.05892)Votes: 0GitHub stars: 3
- Arxiv 2608 05892v1 Alternating Levenberg Marquardt Training Of PhysicAlternating Levenberg-Marquardt Training of Physics-Informed Neural Networks with Fourier-Enhanced Features (arXiv: 2608.05892v1)Votes: 0GitHub stars: 3
- Arxiv 2608 05930 Deep Generalised Mixed Models A Novel Neural NetwoDeep Generalised Mixed Models: a Novel Neural Network Structure for Analysing Hierarchical Data (arXiv: 2608.05930)Votes: 0GitHub stars: 3
- Arxiv 2608 05930v1 Deep Generalised Mixed Models A Novel Neural NetwoDeep Generalised Mixed Models: a Novel Neural Network Structure for Analysing Hierarchical Data (arXiv: 2608.05930v1)Votes: 0GitHub stars: 3
- Arxiv 2608 05996v1 Convergent Evolution In Neural Representation Spac**arXiv ID:** 2608.05996v1 **Authors:** Patrick Krauss, Achim Schilling, Andreas Maier, Thomas Kinfe, Claus Metzner **URL:** http://arxiv.org/abs/2608.05996v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 06177 Threshold Based Early Stopping Of Accumulations InThreshold-Based Early Stopping of Accumulations in Neural Networks with Binary Activation (arXiv: 2608.06177)Votes: 0GitHub stars: 3
- Arxiv 2608 06177v1 Threshold Based Early Stopping Of Accumulations InThreshold-Based Early Stopping of Accumulations in Neural Networks with Binary Activation (arXiv: 2608.06177v1)Votes: 0GitHub stars: 3
- Arxiv 2608 06252 Toward Deployable Bangla Sign Language RecognitionToward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model (arXiv: 2608.06252)Votes: 0GitHub stars: 3
- Arxiv 2608 06252v1 Toward Deployable Bangla Sign Language Recognition**arXiv ID:** 2608.06252v1 **Authors:** Saad Ahmed, Md Khalid Syfullaha **URL:** http://arxiv.org/abs/2608.06252v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 06331 Tytan Interactive Neurosymbolic Construction Of AnTytan: Interactive Neurosymbolic Construction of Analytic Semantic Schemas from Relational Data (arXiv: 2608.06331)Votes: 0GitHub stars: 3
- Arxiv 2608 06331v1 Tytan Interactive Neurosymbolic Construction Of AnTytan: Interactive Neurosymbolic Construction of Analytic Semantic Schemas from Relational Data (arXiv: 2608.06331v1)Votes: 0GitHub stars: 3
- Arxiv 2608 12000v1 Beyond Local Power Functional Connectivity Analysi**arXiv ID:** 2608.12000v1 **Authors:** Wiga Maulana Baihaqi, Indriana Hidayah, Sri Kusrohmaniah, Noor Akhmad Setiawan **URL:** http://arxiv.org/abs/2608.12000v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 12864v1 Discovering Persistent Behavioural Patterns For In**arXiv ID:** 2608.12864v1 **Authors:** Dorottya Zelenyanszki, Zhe Hou, Kamanashis Biswas, Vallipuram Muthukkumarasamy **URL:** http://arxiv.org/abs/2608.12864v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13069v1 Behavioral Reprogramming Of Open Weights Models Co**arXiv ID:** 2608.13069v1 **Authors:** Lucia Malíčková **URL:** http://arxiv.org/abs/2608.13069v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13072v1 Eeg Prime Prototype Aligned Representation Learnin**arXiv ID:** 2608.13072v1 **Authors:** Shuailei Zhang, Muyun Jiang, Wei Zhang, Jinbo Chen, Zhiwei Guo, Yong Li, Yi Ding, Cuntai Guan **URL:** http://arxiv.org/abs/2608.13072v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13267v1 How Do Vlms Behave When Blind Or Misled Behavioral**arXiv ID:** 2608.13267v1 **Authors:** Paul Osemudiame Oamen, Owusu-Banahene Osei, Ananya Mukherjee, Christian Greisinger, Steffen Eger, Pius Onobhayedo, Wei Zhao **URL:** http://arxiv.org/abs/2608.13267v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 13285v1 Eeg Decoding Using Cnn And Lstm Network**arXiv ID:** 2608.13285v1 **Authors:** Athanasios Karagounis **URL:** http://arxiv.org/abs/2608.13285v1 **Utility Score:** 1.00Votes: 0GitHub stars: 3
- Arxiv 2608 19890 Reliable Neural Collapse Approximation For Open WoReliable Neural Collapse Approximation for Open-World Test-Time Adaptation (arXiv: 2608.19890)Votes: 0GitHub stars: 3
- Arxiv 2608 19893 Interrupting The Loop Periodic Subject Changes RaiInterrupting the Loop: Periodic Subject Changes Raise Judged Surprise and Connection in Base Language Models (arXiv: 2608.19893)Votes: 0GitHub stars: 3
- Arxiv 2608 19902 Bringing Analytic Rigor To Agentic Ai For ScienceBringing analytic rigor to agentic AI for science: The Brain Researcher platform for neuroimaging data analysis (arXiv: 2608.19902)Votes: 0GitHub stars: 3
- Arxiv 2608 19907 Spike Based Belief Propagation In Nonlinear DynamiSpike-based Belief Propagation in Nonlinear Dynamical Systems (arXiv: 2608.19907)Votes: 0GitHub stars: 3
- Arxiv 2608 19914 Multi Source Wasserstein Distributionally Robust GMulti-Source Wasserstein Distributionally Robust Graph Learning (arXiv: 2608.19914)Votes: 0GitHub stars: 3
- Arxiv 2608 19995 The Forward Backward Disconnect State Dynamics CreThe Forward-Backward Disconnect: State Dynamics, Credit Assignment, and Biological Grounding in Neural Computation (arXiv: 2608.19995)Votes: 0GitHub stars: 3
- Arxiv 2608 20053 On The Applicability Of Safety Nets A Safety By DeOn the Applicability of Safety Nets: A Safety-By-Design Solution for Certifying Neural Networks (arXiv: 2608.20053)Votes: 0GitHub stars: 3