Publications
Archived Papers
[05.2025] [Optimization] Archived Paper/Under Review
Sharpness-Aware Minimization with Z-Score Gradient Filtering for Neural Networks
[Paper]Spectral and Temporal Denoising for Differentially Private Optimization
[Paper][04.2025] [Quantization] Archived Paper/Under Review
Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning
[Paper]Conferences
[07.2024] [Application] [Space] European Space Agency (ESA) SPAICE 2024
Analysis and Predictive Modeling of Solar Coronal Holes Using Computer Vision and ARIMA-LSTM Networks
[Paper][03.2024] [Optimization] [Pruning] IJCNN 2024
Robust Neural Pruning with Gradient Sampling Optimization for Residual Neural Networks
[Paper]Workshops
[12.2024] [Optimization] AAAI 2025 Workshops
ZNorm: Z-Score Gradient Normalization Accelerating Skip-Connected Network Training without Architectural Modification
[Paper][11.2024] [Optimization] IEEE BigData 2024
Mitigating Gradient Overlap in Deep Residual Networks with Gradient Normalization for Improved Non-Convex Optimization
[Paper][04.2024] [Uncertainty Estimation] [Medical] CVPR 2024 Workshops
Uncertainty Estimation for Tumor Prediction with Unlabeled Data
[Paper]Journals
[05.2025] [Optimization] Neural Computing and Application (IF: 4.5)
Stochastic Gradient Sampling for Enhancing Neural Networks Training
[Paper]