🤖 Machine Learning - inarcissuss

Modeling and prediction of 316 L stainless steel relative density in L-PBF process using machine learning

🔬Deep Learning medium.com

From Gradient Descent to Adam: A Practical Guide to Neural Network Optimizers

🤖人工智能 arXiv·

Leaking Circuit Secrets: Gradient Leakage Attacks on Graph Neural Networks

🤖AI GitHub

pytorch/executorch ciflow/cuda/20286

🔬ML Research arXiv·

Digital Twin-Driven Adaptive Sim-to-Real Alignment via Reinforcement Learning for Vibration-Based Bearing Health Monitoring Under Data Scarcity

🔬ML Research arXiv·

Frequency Domain Reservoir Computing

🤖AI GitHub

pytorch/executorch ciflow/trunk/20444

🔬ML Research arXiv·

Gradient-Descent Steps to Success over Mean Accuracy: A Paradigm Shift for ML

🔬Deep Learning medium.com

Optimizers in Deep Learning: From Gradient Descent to Adam

🔍Interpretability arXiv·

Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation

🔬Deep Learning arXiv·

Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime

🤖AI GitHub

pytorch/executorch ciflow/trunk/20443

🔬ML Research arXiv·

What Accuracy and Gradient Cosine Miss: Evaluating Feedback Alignment via Scale Stability, Reference Validity, and Depth Utility

🔬ML Research arXiv·

Predictive Repair Management Using a Multi-Head Attention Transformer and Online Learning

🤖AI GitHub

pytorch/executorch ciflow/trunk/20479

🔬ML Research arXiv·

Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecasting

🔬ML Research arXiv·

Universal Encoders for Modular Relational Deep Learning

🔬ML Research arXiv·

Attention mechanism for scalable mesh-based neural surrogates of free-surface fluids

🔬ML Research arXiv·

Your GPU Is Idle More Than You Think, and Your DataLoader Is the Reason

Modeling and prediction of 316 L stainless steel relative density in L-PBF process using machine learning

From Gradient Descent to Adam: A Practical Guide to Neural Network Optimizers

Leaking Circuit Secrets: Gradient Leakage Attacks on Graph Neural Networks

pytorch/executorch ciflow/cuda/20286

Digital Twin-Driven Adaptive Sim-to-Real Alignment via Reinforcement Learning for Vibration-Based Bearing Health Monitoring Under Data Scarcity

Frequency Domain Reservoir Computing

pytorch/executorch ciflow/trunk/20444

Gradient-Descent Steps to Success over Mean Accuracy: A Paradigm Shift for ML

Optimizers in Deep Learning: From Gradient Descent to Adam

Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation

Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime

pytorch/executorch ciflow/trunk/20443

What Accuracy and Gradient Cosine Miss: Evaluating Feedback Alignment via Scale Stability, Reference Validity, and Depth Utility

Predictive Repair Management Using a Multi-Head Attention Transformer and Online Learning

pytorch/executorch ciflow/trunk/20479

Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecasting

Universal Encoders for Modular Relational Deep Learning

Attention mechanism for scalable mesh-based neural surrogates of free-surface fluids

Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design